Computes an IRT version of the "reliable change index" (RCI) proposed by
Jacobson and Traux (1991) but modified to use IRT information about scores
and measurement error (see Jabrayilov, Emons, and Sijtsma (2016)).
Main benefit of the IRT approach is the inclusion
of response pattern information in the pre/post data score estimates, as well
as conditional standard error of measurement information. Models can be specified
as separate unidimensional IRT models fitted via mirt
(or extracted from multipleGroup via extract.group),
or a two-dimensional model where the latent traits correspond to the two
test administrations.
Usage
RCI(
mod_pre,
predat,
postdat,
mod_post = mod_pre,
cutoffs = NULL,
SEM.pre = NULL,
SEM.post = NULL,
Fisher = FALSE,
zero_cor = TRUE,
expected.scores = FALSE,
shiny = FALSE,
main = "Test Scores",
...
)Arguments
- mod_pre
single-group model fitted by
mirt. If not supplied the information will be extracted from the data input objects to compute the classical test theory version of the RCI statistics- predat
a vector (if one individual) or matrix/data.frame of response data to be scored, where each individuals' responses are included in exactly one row.
If total score information only is to be used instead of the complete response matrix then a
matrixobject with exactlyncol = 1columns should be provided- postdat
same as
predat, but with respect to the post/follow-up measurement. Ignored when a two-dimensional IRT model is included.For the original RCI approach, a matrix containing the complete responses, or a matrix with one column containing only the total scores, can be provided
- mod_post
(optional) IRT model for post-test if different from pre-test; otherwise, the pre-test model will be used. Ignored when a two-dimensional model IRT is included
- cutoffs
optional vector of length 2 indicating the type of cut-offs to report (e.g.,
c(-1.96, 1.96)reflects the 95 percent z-score type cut-off)- SEM.pre
standard error of measurement for the pretest. This can be used instead of
rxx.preandSD.pre- SEM.post
(optional) standard error of measurement for the post-test. Using this will create a pooled version of the SEM; otherwise,
SEM.post = SEM.pre- Fisher
logical; use the Fisher/expected information function to compute the SE terms? If
FALSEthe SE information will be extracted from the selectfscoresmethod (default). Only applicable for unidimensional models- zero_cor
logical; when the supplied
mod_preis a two-factor model should the covariance/correlation between the latent traits be forced to be 0?- expected.scores
logical; when using IRT scoring methods, should the expected total scores be reported instead of the scaled (theta) scores returned from
fscores? When set toTRUEthe factor score estimates are passed toexpected.test, and delta method standard error for the difference between teh scores are reported, however the originalzandp-value information will be unchanged- shiny
logical; launch an interactive shiny applications for real-time scoring of supplied total-scores or response vectors? Only requires
mod_preand (optional)mod_postinputs- main
main label to use when
shiny=TRUE- ...
additional arguments passed to
fscores
References
Chalmers, R., P. (2012). mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software, 48(6), 1-29. doi:10.18637/jss.v048.i06
Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59, 12-19.
Jabrayilov, R. , Emons, W. H. M., & Sijtsma, K. (2016). Comparison of Classical Test Theory and Item Response Theory in Individual Change Assessment. Applied Psychological Measurement, 40 (8), 559-572.
Author
Phil Chalmers rphilip.chalmers@gmail.com
Examples
# \donttest{
# simulate some data
N <- 1000
J <- 20 # number of items
a <- matrix(rlnorm(J,.2,.3))
d <- rnorm(J)
theta <- matrix(rnorm(N))
dat_pre <- simdata(a, d, itemtype = '2PL', Theta = theta)
# first 3 cases decrease by 1/2
theta2 <- theta - c(1/2, 1/2, 1/2, numeric(N-3))
dat_post <- simdata(a, d, itemtype = '2PL', Theta = theta2)
mod <- mirt(dat_pre)
# all changes using fitted model from pre data
RCI(mod, predat=dat_pre, postdat=dat_post)
#> pre.score post.score converged diff SE z p
#> 1 1.714 1.970 TRUE 0.256 0.759 0.337 0.736
#> 2 1.406 -0.120 TRUE -1.526 0.582 -2.620 0.009
#> 3 0.960 -0.150 TRUE -1.111 0.536 -2.073 0.038
#> 4 0.302 0.202 TRUE -0.100 0.496 -0.202 0.84
#> 5 -0.973 -0.906 TRUE 0.067 0.548 0.122 0.903
#> 6 -0.797 -0.298 TRUE 0.499 0.508 0.983 0.326
#> 7 0.151 -0.466 TRUE -0.617 0.492 -1.253 0.21
#> 8 0.111 1.052 TRUE 0.940 0.547 1.721 0.085
#> 9 -1.367 -1.355 TRUE 0.013 0.626 0.020 0.984
#> 10 -0.946 -0.416 TRUE 0.530 0.521 1.016 0.31
#> 11 -1.876 -0.774 TRUE 1.101 0.646 1.705 0.088
#> 12 1.258 0.788 TRUE -0.470 0.599 -0.786 0.432
#> 13 0.342 0.038 TRUE -0.303 0.494 -0.615 0.539
#> 14 0.201 -0.033 TRUE -0.234 0.488 -0.480 0.631
#> 15 1.434 1.527 TRUE 0.094 0.683 0.137 0.891
#> 16 -1.862 -1.179 TRUE 0.683 0.671 1.018 0.309
#> 17 0.141 -0.291 TRUE -0.432 0.487 -0.886 0.376
#> 18 0.196 0.222 TRUE 0.026 0.493 0.054 0.957
#> 19 1.084 0.421 TRUE -0.663 0.560 -1.185 0.236
#> 20 0.912 0.037 TRUE -0.875 0.532 -1.644 0.1
#> 21 -0.526 -0.624 TRUE -0.098 0.504 -0.195 0.846
#> 22 -0.371 0.377 TRUE 0.748 0.497 1.503 0.133
#> 23 -1.486 -0.978 TRUE 0.508 0.606 0.838 0.402
#> 24 -0.742 -0.495 TRUE 0.247 0.509 0.484 0.628
#> 25 0.798 0.923 TRUE 0.124 0.568 0.219 0.827
#> 26 -0.207 -0.503 TRUE -0.296 0.491 -0.603 0.547
#> 27 1.265 1.233 TRUE -0.032 0.637 -0.051 0.959
#> 28 -1.011 -0.104 TRUE 0.907 0.523 1.736 0.083
#> 29 0.671 1.011 TRUE 0.340 0.567 0.600 0.549
#> 30 -1.045 -0.551 TRUE 0.494 0.534 0.925 0.355
#> 31 -1.481 -2.133 TRUE -0.651 0.737 -0.883 0.377
#> 32 -0.158 -0.636 TRUE -0.478 0.496 -0.963 0.335
#> 33 2.251 2.251 TRUE 0.000 0.846 0.000 1
#> 34 -0.255 -0.541 TRUE -0.286 0.493 -0.581 0.561
#> 35 -1.237 -1.002 TRUE 0.235 0.580 0.405 0.685
#> 36 0.789 1.120 TRUE 0.331 0.585 0.565 0.572
#> 37 -0.252 -0.135 TRUE 0.118 0.484 0.243 0.808
#> 38 1.078 0.586 TRUE -0.492 0.568 -0.867 0.386
#> 39 -0.022 0.480 TRUE 0.502 0.500 1.004 0.315
#> 40 1.691 1.629 TRUE -0.062 0.720 -0.086 0.931
#> 41 0.252 -0.130 TRUE -0.382 0.489 -0.782 0.434
#> 42 0.162 -0.282 TRUE -0.443 0.488 -0.909 0.363
#> 43 -0.287 -0.374 TRUE -0.087 0.488 -0.179 0.858
#> 44 -0.016 0.057 TRUE 0.074 0.484 0.152 0.879
#> 45 -0.406 -0.159 TRUE 0.247 0.487 0.507 0.612
#> 46 -0.363 -0.140 TRUE 0.223 0.486 0.458 0.647
#> 47 -0.548 -0.161 TRUE 0.387 0.492 0.786 0.432
#> 48 -0.657 -0.344 TRUE 0.313 0.500 0.626 0.531
#> 49 -0.642 -0.206 TRUE 0.436 0.497 0.877 0.381
#> 50 -0.390 0.102 TRUE 0.492 0.489 1.006 0.314
#> 51 0.676 1.310 TRUE 0.634 0.597 1.063 0.288
#> 52 -0.601 -0.481 TRUE 0.120 0.501 0.239 0.811
#> 53 1.972 0.685 TRUE -1.287 0.675 -1.906 0.057
#> 54 -0.606 0.133 TRUE 0.740 0.498 1.486 0.137
#> 55 -0.147 -0.157 TRUE -0.010 0.483 -0.022 0.983
#> 56 -0.400 -0.318 TRUE 0.082 0.489 0.167 0.867
#> 57 -0.246 -0.602 TRUE -0.356 0.496 -0.718 0.473
#> 58 -1.014 -1.271 TRUE -0.257 0.584 -0.440 0.66
#> 59 0.090 -0.219 TRUE -0.310 0.485 -0.638 0.523
#> 60 0.781 0.685 TRUE -0.096 0.548 -0.175 0.861
#> 61 0.477 0.424 TRUE -0.053 0.513 -0.103 0.918
#> 62 1.066 0.712 TRUE -0.354 0.574 -0.616 0.538
#> 63 0.419 0.486 TRUE 0.067 0.513 0.130 0.896
#> 64 -0.863 -0.870 TRUE -0.007 0.538 -0.012 0.99
#> 65 -0.866 -0.907 TRUE -0.041 0.540 -0.076 0.94
#> 66 -0.863 -1.125 TRUE -0.262 0.559 -0.470 0.639
#> 67 1.714 0.792 TRUE -0.922 0.650 -1.419 0.156
#> 68 -0.136 -0.445 TRUE -0.309 0.488 -0.633 0.527
#> 69 0.184 -0.046 TRUE -0.231 0.487 -0.473 0.636
#> 70 1.972 1.470 TRUE -0.502 0.735 -0.682 0.495
#> 71 -0.153 -0.738 TRUE -0.586 0.502 -1.166 0.244
#> 72 1.290 0.929 TRUE -0.361 0.612 -0.590 0.555
#> 73 -0.041 0.003 TRUE 0.044 0.484 0.090 0.928
#> 74 0.156 0.281 TRUE 0.125 0.494 0.252 0.801
#> 75 0.590 0.043 TRUE -0.547 0.507 -1.078 0.281
#> 76 0.818 0.796 TRUE -0.022 0.559 -0.039 0.969
#> 77 -0.693 -0.942 TRUE -0.249 0.532 -0.468 0.64
#> 78 0.237 0.147 TRUE -0.090 0.492 -0.182 0.855
#> 79 0.852 -0.057 TRUE -0.909 0.526 -1.727 0.084
#> 80 0.297 0.201 TRUE -0.097 0.495 -0.195 0.845
#> 81 -0.117 -0.324 TRUE -0.207 0.485 -0.426 0.67
#> 82 0.499 0.262 TRUE -0.236 0.507 -0.466 0.641
#> 83 0.297 0.112 TRUE -0.185 0.493 -0.375 0.707
#> 84 -0.821 -1.876 TRUE -1.055 0.648 -1.627 0.104
#> 85 -0.500 -0.136 TRUE 0.363 0.490 0.741 0.459
#> 86 -0.554 0.157 TRUE 0.711 0.496 1.434 0.152
#> 87 -1.099 -0.542 TRUE 0.557 0.539 1.033 0.302
#> 88 -0.200 0.099 TRUE 0.299 0.485 0.615 0.538
#> 89 -0.297 -0.068 TRUE 0.229 0.485 0.473 0.636
#> 90 0.372 0.170 TRUE -0.202 0.498 -0.406 0.685
#> 91 -0.634 -1.629 TRUE -0.995 0.604 -1.646 0.1
#> 92 -0.666 -0.443 TRUE 0.223 0.503 0.444 0.657
#> 93 -1.257 -0.891 TRUE 0.366 0.573 0.638 0.524
#> 94 0.197 0.503 TRUE 0.307 0.505 0.607 0.544
#> 95 1.648 1.090 TRUE -0.558 0.664 -0.840 0.401
#> 96 -0.162 -0.492 TRUE -0.329 0.490 -0.672 0.501
#> 97 -0.390 0.107 TRUE 0.497 0.489 1.017 0.309
#> 98 -0.520 -0.462 TRUE 0.058 0.497 0.117 0.907
#> 99 0.268 0.095 TRUE -0.173 0.492 -0.352 0.725
#> 100 -0.113 -0.109 TRUE 0.004 0.483 0.007 0.994
#> 101 -0.782 -0.793 TRUE -0.011 0.527 -0.021 0.983
#> 102 0.897 1.091 TRUE 0.194 0.590 0.329 0.743
#> 103 -0.105 -0.130 TRUE -0.025 0.483 -0.053 0.958
#> 104 -0.364 0.941 TRUE 1.305 0.537 2.431 0.015
#> 105 -1.638 -1.441 TRUE 0.198 0.666 0.297 0.767
#> 106 -0.453 -0.084 TRUE 0.369 0.489 0.756 0.45
#> 107 0.294 0.262 TRUE -0.033 0.497 -0.066 0.947
#> 108 -1.638 -1.503 TRUE 0.135 0.673 0.201 0.841
#> 109 0.567 0.431 TRUE -0.137 0.518 -0.263 0.792
#> 110 -0.501 -0.961 TRUE -0.460 0.525 -0.876 0.381
#> 111 0.754 -0.118 TRUE -0.872 0.518 -1.683 0.092
#> 112 -0.804 -0.828 TRUE -0.023 0.531 -0.044 0.965
#> 113 1.003 1.654 TRUE 0.652 0.658 0.990 0.322
#> 114 -1.492 -2.133 TRUE -0.640 0.738 -0.867 0.386
#> 115 -0.190 0.455 TRUE 0.646 0.498 1.295 0.195
#> 116 0.804 0.776 TRUE -0.028 0.556 -0.051 0.96
#> 117 -0.203 -0.434 TRUE -0.231 0.488 -0.473 0.636
#> 118 -0.684 -0.888 TRUE -0.204 0.528 -0.386 0.7
#> 119 0.478 -0.047 TRUE -0.525 0.500 -1.051 0.293
#> 120 -0.386 -1.201 TRUE -0.815 0.544 -1.497 0.134
#> 121 -0.165 0.462 TRUE 0.627 0.499 1.257 0.209
#> 122 -1.403 -0.744 TRUE 0.660 0.581 1.136 0.256
#> 123 -0.280 -0.537 TRUE -0.257 0.493 -0.521 0.602
#> 124 -1.451 -0.856 TRUE 0.595 0.593 1.003 0.316
#> 125 0.345 0.253 TRUE -0.092 0.499 -0.185 0.854
#> 126 1.234 1.972 TRUE 0.738 0.714 1.033 0.302
#> 127 0.603 0.776 TRUE 0.173 0.542 0.318 0.75
#> 128 0.656 0.738 TRUE 0.082 0.543 0.152 0.879
#> 129 0.685 0.722 TRUE 0.037 0.544 0.069 0.945
#> 130 -0.316 0.634 TRUE 0.949 0.511 1.857 0.063
#> 131 0.268 0.009 TRUE -0.260 0.490 -0.530 0.596
#> 132 -1.131 -1.242 TRUE -0.112 0.591 -0.189 0.85
#> 133 0.936 0.862 TRUE -0.075 0.574 -0.130 0.896
#> 134 1.707 1.955 TRUE 0.248 0.757 0.327 0.743
#> 135 -1.495 -0.960 TRUE 0.535 0.605 0.884 0.377
#> 136 0.386 -0.097 TRUE -0.484 0.495 -0.978 0.328
#> 137 0.428 0.471 TRUE 0.043 0.513 0.084 0.933
#> 138 -0.469 -1.073 TRUE -0.604 0.534 -1.131 0.258
#> 139 0.609 0.070 TRUE -0.539 0.509 -1.059 0.289
#> 140 -0.253 -0.848 TRUE -0.594 0.510 -1.164 0.244
#> 141 1.650 1.431 TRUE -0.218 0.695 -0.314 0.754
#> 142 0.860 0.826 TRUE -0.034 0.565 -0.061 0.952
#> 143 -0.471 -0.057 TRUE 0.415 0.489 0.847 0.397
#> 144 0.643 -0.130 TRUE -0.772 0.510 -1.515 0.13
#> 145 -1.411 -0.965 TRUE 0.446 0.596 0.749 0.454
#> 146 -1.736 -1.536 TRUE 0.200 0.689 0.290 0.772
#> 147 -0.848 -0.577 TRUE 0.271 0.520 0.521 0.602
#> 148 -0.279 -0.351 TRUE -0.072 0.487 -0.148 0.882
#> 149 0.510 0.886 TRUE 0.376 0.546 0.689 0.491
#> 150 -0.174 -0.160 TRUE 0.014 0.483 0.028 0.977
#> 151 -0.440 -0.313 TRUE 0.127 0.490 0.258 0.796
#> 152 -1.513 -1.876 TRUE -0.362 0.705 -0.514 0.607
#> 153 -1.120 -1.223 TRUE -0.103 0.588 -0.175 0.861
#> 154 -0.576 -0.927 TRUE -0.351 0.526 -0.669 0.504
#> 155 1.141 0.518 TRUE -0.623 0.570 -1.093 0.275
#> 156 -0.197 0.304 TRUE 0.501 0.491 1.019 0.308
#> 157 0.826 1.407 TRUE 0.581 0.617 0.942 0.346
#> 158 -0.111 -0.823 TRUE -0.712 0.508 -1.403 0.161
#> 159 -0.270 -0.091 TRUE 0.179 0.484 0.370 0.712
#> 160 1.481 0.197 TRUE -1.284 0.595 -2.159 0.031
#> 161 0.693 -0.442 TRUE -1.135 0.519 -2.189 0.029
#> 162 -0.416 -0.250 TRUE 0.166 0.488 0.340 0.734
#> 163 -1.237 -0.850 TRUE 0.387 0.569 0.681 0.496
#> 164 1.236 -0.394 TRUE -1.630 0.567 -2.875 0.004
#> 165 -0.030 -0.357 TRUE -0.327 0.486 -0.673 0.501
#> 166 -0.427 -0.285 TRUE 0.143 0.489 0.291 0.771
#> 167 1.077 1.036 TRUE -0.040 0.601 -0.067 0.947
#> 168 1.046 1.691 TRUE 0.645 0.666 0.968 0.333
#> 169 -1.220 -1.363 TRUE -0.143 0.612 -0.233 0.815
#> 170 -1.876 -1.638 TRUE 0.237 0.718 0.331 0.741
#> 171 -1.449 -2.133 TRUE -0.684 0.734 -0.931 0.352
#> 172 2.251 1.020 TRUE -1.231 0.731 -1.683 0.092
#> 173 0.054 0.386 TRUE 0.332 0.496 0.670 0.503
#> 174 -0.176 -1.199 TRUE -1.024 0.541 -1.893 0.058
#> 175 -0.798 0.984 TRUE 1.781 0.559 3.187 0.001
#> 176 -0.305 -0.533 TRUE -0.227 0.493 -0.461 0.645
#> 177 0.820 1.071 TRUE 0.250 0.583 0.430 0.667
#> 178 -1.645 -0.911 TRUE 0.735 0.621 1.182 0.237
#> 179 1.675 2.251 TRUE 0.576 0.787 0.732 0.464
#> 180 -0.043 -0.341 TRUE -0.297 0.486 -0.613 0.54
#> 181 -0.639 -0.688 TRUE -0.049 0.513 -0.096 0.923
#> 182 -1.247 -0.804 TRUE 0.442 0.567 0.781 0.435
#> 183 0.019 -0.488 TRUE -0.507 0.491 -1.033 0.301
#> 184 -0.346 0.020 TRUE 0.367 0.486 0.754 0.451
#> 185 -0.786 -1.155 TRUE -0.369 0.556 -0.662 0.508
#> 186 -0.537 -0.933 TRUE -0.396 0.524 -0.756 0.45
#> 187 -0.400 -1.088 TRUE -0.688 0.533 -1.290 0.197
#> 188 -0.069 -0.136 TRUE -0.067 0.483 -0.139 0.89
#> 189 1.306 0.482 TRUE -0.824 0.586 -1.408 0.159
#> 190 -1.299 -1.122 TRUE 0.177 0.596 0.297 0.767
#> 191 0.834 1.047 TRUE 0.213 0.581 0.366 0.714
#> 192 -0.534 -0.061 TRUE 0.473 0.492 0.962 0.336
#> 193 -0.013 0.406 TRUE 0.420 0.496 0.846 0.398
#> 194 -1.449 -0.607 TRUE 0.842 0.580 1.452 0.146
#> 195 -1.046 -1.390 TRUE -0.345 0.600 -0.575 0.565
#> 196 0.280 -0.244 TRUE -0.524 0.491 -1.068 0.286
#> 197 -0.719 -1.629 TRUE -0.910 0.608 -1.495 0.135
#> 198 -0.864 -1.645 TRUE -0.781 0.618 -1.263 0.206
#> 199 1.356 1.427 TRUE 0.071 0.665 0.107 0.915
#> 200 -0.813 -1.227 TRUE -0.414 0.565 -0.732 0.464
#> 201 0.455 0.406 TRUE -0.049 0.511 -0.096 0.923
#> 202 0.809 0.356 TRUE -0.453 0.532 -0.851 0.395
#> 203 -1.403 -1.384 TRUE 0.020 0.633 0.031 0.975
#> 204 0.082 -0.052 TRUE -0.133 0.485 -0.275 0.783
#> 205 -0.021 0.020 TRUE 0.041 0.484 0.085 0.932
#> 206 0.509 0.218 TRUE -0.291 0.506 -0.575 0.565
#> 207 1.331 1.628 TRUE 0.297 0.683 0.434 0.664
#> 208 0.824 1.009 TRUE 0.185 0.577 0.320 0.749
#> 209 1.662 1.707 TRUE 0.045 0.725 0.061 0.951
#> 210 -1.481 -2.133 TRUE -0.651 0.737 -0.883 0.377
#> 211 -0.151 0.141 TRUE 0.293 0.486 0.602 0.547
#> 212 0.268 0.477 TRUE 0.209 0.506 0.413 0.68
#> 213 1.175 0.763 TRUE -0.412 0.588 -0.700 0.484
#> 214 -1.554 -1.443 TRUE 0.111 0.656 0.170 0.865
#> 215 -1.395 -1.021 TRUE 0.374 0.598 0.626 0.532
#> 216 0.644 1.470 TRUE 0.826 0.612 1.350 0.177
#> 217 0.762 0.317 TRUE -0.445 0.527 -0.845 0.398
#> 218 -1.186 -0.858 TRUE 0.329 0.564 0.583 0.56
#> 219 -0.128 -0.455 TRUE -0.327 0.489 -0.669 0.503
#> 220 -2.133 -1.854 TRUE 0.279 0.778 0.358 0.72
#> 221 0.809 0.333 TRUE -0.476 0.531 -0.896 0.37
#> 222 -1.432 -1.660 TRUE -0.228 0.668 -0.341 0.733
#> 223 -0.774 -0.017 TRUE 0.757 0.505 1.500 0.133
#> 224 -0.236 0.910 TRUE 1.146 0.532 2.155 0.031
#> 225 0.411 0.628 TRUE 0.218 0.521 0.418 0.676
#> 226 0.741 0.542 TRUE -0.199 0.536 -0.372 0.71
#> 227 0.273 0.123 TRUE -0.150 0.492 -0.305 0.761
#> 228 -0.121 -0.127 TRUE -0.006 0.483 -0.013 0.99
#> 229 1.481 0.947 TRUE -0.534 0.634 -0.842 0.4
#> 230 -1.577 -1.495 TRUE 0.082 0.665 0.123 0.902
#> 231 -0.718 -0.224 TRUE 0.494 0.502 0.985 0.325
#> 232 0.073 0.782 TRUE 0.709 0.522 1.358 0.174
#> 233 0.424 0.548 TRUE 0.124 0.517 0.240 0.81
#> 234 0.424 1.400 TRUE 0.975 0.593 1.644 0.1
#> 235 0.510 -0.562 TRUE -1.071 0.511 -2.097 0.036
#> 236 -0.269 -0.372 TRUE -0.103 0.487 -0.211 0.833
#> 237 -0.318 -0.243 TRUE 0.075 0.486 0.155 0.877
#> 238 -0.579 0.279 TRUE 0.858 0.501 1.714 0.086
#> 239 -0.072 -0.135 TRUE -0.063 0.483 -0.130 0.896
#> 240 -0.539 0.226 TRUE 0.765 0.497 1.538 0.124
#> 241 1.353 1.662 TRUE 0.310 0.689 0.449 0.653
#> 242 -1.018 -1.260 TRUE -0.242 0.583 -0.414 0.679
#> 243 -1.793 -1.645 TRUE 0.148 0.708 0.209 0.834
#> 244 -1.305 -1.824 TRUE -0.519 0.677 -0.767 0.443
#> 245 -0.877 -0.782 TRUE 0.095 0.533 0.178 0.859
#> 246 -0.979 -1.136 TRUE -0.158 0.568 -0.278 0.781
#> 247 1.288 1.483 TRUE 0.195 0.664 0.293 0.769
#> 248 2.251 1.595 TRUE -0.656 0.779 -0.842 0.4
#> 249 -0.192 -0.129 TRUE 0.063 0.483 0.130 0.897
#> 250 0.804 1.461 TRUE 0.657 0.622 1.057 0.291
#> 251 0.843 0.406 TRUE -0.437 0.537 -0.814 0.416
#> 252 -0.204 -0.179 TRUE 0.025 0.483 0.053 0.958
#> 253 -0.379 -0.135 TRUE 0.244 0.486 0.502 0.616
#> 254 0.253 0.346 TRUE 0.093 0.499 0.186 0.852
#> 255 1.624 1.229 TRUE -0.395 0.674 -0.586 0.558
#> 256 -0.031 0.341 TRUE 0.372 0.493 0.755 0.45
#> 257 1.546 1.096 TRUE -0.450 0.653 -0.688 0.491
#> 258 0.004 0.183 TRUE 0.180 0.488 0.368 0.713
#> 259 -0.997 -1.336 TRUE -0.340 0.590 -0.576 0.564
#> 260 0.215 0.633 TRUE 0.417 0.514 0.812 0.417
#> 261 0.687 0.251 TRUE -0.436 0.519 -0.840 0.401
#> 262 0.779 0.500 TRUE -0.279 0.537 -0.519 0.604
#> 263 1.953 1.437 TRUE -0.517 0.730 -0.708 0.479
#> 264 -0.856 -0.750 TRUE 0.106 0.529 0.201 0.841
#> 265 1.482 1.433 TRUE -0.050 0.678 -0.073 0.942
#> 266 -0.179 0.385 TRUE 0.563 0.495 1.138 0.255
#> 267 -1.002 -0.592 TRUE 0.411 0.532 0.772 0.44
#> 268 0.860 0.373 TRUE -0.486 0.537 -0.905 0.365
#> 269 -0.348 -0.435 TRUE -0.087 0.491 -0.178 0.859
#> 270 -0.270 0.211 TRUE 0.481 0.489 0.983 0.326
#> 271 -1.862 -1.588 TRUE 0.274 0.711 0.385 0.7
#> 272 -0.369 -0.643 TRUE -0.274 0.500 -0.549 0.583
#> 273 -0.704 -0.665 TRUE 0.039 0.515 0.075 0.94
#> 274 1.431 1.112 TRUE -0.319 0.642 -0.496 0.62
#> 275 0.544 0.213 TRUE -0.331 0.508 -0.652 0.515
#> 276 -1.431 -1.876 TRUE -0.444 0.696 -0.638 0.523
#> 277 -0.233 -0.083 TRUE 0.151 0.483 0.312 0.755
#> 278 -1.633 -2.133 TRUE -0.500 0.753 -0.664 0.507
#> 279 0.208 0.290 TRUE 0.082 0.495 0.166 0.868
#> 280 1.163 1.427 TRUE 0.264 0.646 0.408 0.683
#> 281 0.988 1.280 TRUE 0.292 0.616 0.474 0.636
#> 282 0.796 1.009 TRUE 0.213 0.575 0.370 0.711
#> 283 1.019 1.064 TRUE 0.045 0.598 0.076 0.94
#> 284 -1.192 -1.861 TRUE -0.669 0.672 -0.996 0.319
#> 285 1.163 1.678 TRUE 0.515 0.674 0.764 0.445
#> 286 0.084 -0.365 TRUE -0.449 0.488 -0.920 0.358
#> 287 0.370 0.728 TRUE 0.358 0.526 0.680 0.496
#> 288 0.896 1.431 TRUE 0.535 0.625 0.856 0.392
#> 289 1.413 0.898 TRUE -0.514 0.623 -0.826 0.409
#> 290 0.878 0.408 TRUE -0.471 0.540 -0.871 0.384
#> 291 0.867 0.569 TRUE -0.299 0.548 -0.545 0.585
#> 292 0.083 0.002 TRUE -0.082 0.485 -0.168 0.866
#> 293 -2.133 -1.403 TRUE 0.729 0.730 0.999 0.318
#> 294 0.289 -0.243 TRUE -0.533 0.491 -1.084 0.278
#> 295 -1.058 -0.487 TRUE 0.571 0.533 1.070 0.284
#> 296 1.090 0.801 TRUE -0.290 0.583 -0.497 0.619
#> 297 1.574 1.297 TRUE -0.277 0.674 -0.411 0.681
#> 298 -0.235 -0.406 TRUE -0.171 0.488 -0.350 0.727
#> 299 1.635 0.461 TRUE -1.174 0.622 -1.887 0.059
#> 300 -2.133 -1.861 TRUE 0.272 0.779 0.349 0.727
#> 301 -0.984 0.084 TRUE 1.068 0.522 2.046 0.041
#> 302 -0.068 -0.273 TRUE -0.204 0.484 -0.422 0.673
#> 303 -0.845 -1.609 TRUE -0.764 0.612 -1.248 0.212
#> 304 1.972 1.476 TRUE -0.496 0.736 -0.675 0.5
#> 305 0.125 -0.538 TRUE -0.663 0.494 -1.340 0.18
#> 306 0.785 1.022 TRUE 0.237 0.576 0.412 0.681
#> 307 -0.048 0.324 TRUE 0.372 0.492 0.757 0.449
#> 308 0.251 -0.111 TRUE -0.362 0.489 -0.739 0.46
#> 309 -0.114 -0.508 TRUE -0.394 0.491 -0.803 0.422
#> 310 -0.238 -0.745 TRUE -0.507 0.503 -1.007 0.314
#> 311 0.837 0.901 TRUE 0.064 0.569 0.113 0.91
#> 312 1.010 0.146 TRUE -0.865 0.543 -1.592 0.111
#> 313 -0.809 -1.004 TRUE -0.194 0.544 -0.357 0.721
#> 314 0.255 0.215 TRUE -0.040 0.494 -0.081 0.935
#> 315 -0.380 -0.574 TRUE -0.194 0.497 -0.389 0.697
#> 316 -0.088 0.094 TRUE 0.182 0.485 0.376 0.707
#> 317 -0.480 0.272 TRUE 0.752 0.496 1.514 0.13
#> 318 -1.821 -0.874 TRUE 0.947 0.643 1.471 0.141
#> 319 0.011 0.000 TRUE -0.011 0.484 -0.023 0.982
#> 320 0.465 0.106 TRUE -0.358 0.501 -0.716 0.474
#> 321 0.483 -0.025 TRUE -0.508 0.500 -1.016 0.31
#> 322 0.603 -0.292 TRUE -0.895 0.509 -1.760 0.078
#> 323 -1.793 -1.495 TRUE 0.298 0.692 0.431 0.666
#> 324 0.575 0.654 TRUE 0.080 0.532 0.150 0.881
#> 325 0.496 0.624 TRUE 0.127 0.525 0.242 0.808
#> 326 0.683 0.552 TRUE -0.131 0.533 -0.246 0.806
#> 327 -0.578 -0.635 TRUE -0.057 0.507 -0.113 0.91
#> 328 -0.132 0.314 TRUE 0.447 0.491 0.909 0.364
#> 329 0.525 0.555 TRUE 0.030 0.523 0.058 0.954
#> 330 -0.648 0.534 TRUE 1.181 0.516 2.288 0.022
#> 331 0.358 0.783 TRUE 0.425 0.530 0.802 0.423
#> 332 -0.182 -0.859 TRUE -0.677 0.511 -1.326 0.185
#> 333 0.575 0.305 TRUE -0.269 0.513 -0.525 0.6
#> 334 0.543 0.792 TRUE 0.249 0.540 0.461 0.645
#> 335 -0.068 0.230 TRUE 0.297 0.488 0.608 0.543
#> 336 0.018 -0.276 TRUE -0.294 0.485 -0.606 0.545
#> 337 0.468 0.446 TRUE -0.022 0.513 -0.042 0.966
#> 338 1.082 0.610 TRUE -0.472 0.569 -0.828 0.408
#> 339 -0.797 -0.082 TRUE 0.715 0.506 1.413 0.158
#> 340 1.350 1.084 TRUE -0.266 0.631 -0.421 0.674
#> 341 0.407 0.718 TRUE 0.311 0.527 0.590 0.555
#> 342 -0.607 -0.720 TRUE -0.113 0.513 -0.220 0.826
#> 343 -0.949 -0.043 TRUE 0.906 0.517 1.751 0.08
#> 344 -0.688 -1.058 TRUE -0.370 0.542 -0.683 0.495
#> 345 -0.748 -0.283 TRUE 0.465 0.504 0.923 0.356
#> 346 0.379 -0.363 TRUE -0.742 0.497 -1.492 0.136
#> 347 0.169 0.343 TRUE 0.175 0.496 0.352 0.725
#> 348 -0.444 0.075 TRUE 0.518 0.490 1.058 0.29
#> 349 -0.861 -0.613 TRUE 0.249 0.522 0.477 0.634
#> 350 0.235 0.299 TRUE 0.064 0.497 0.129 0.897
#> 351 -0.268 -0.238 TRUE 0.030 0.485 0.063 0.95
#> 352 1.610 1.046 TRUE -0.564 0.656 -0.859 0.39
#> 353 -0.267 0.103 TRUE 0.369 0.486 0.760 0.447
#> 354 -0.962 -1.295 TRUE -0.333 0.583 -0.571 0.568
#> 355 0.393 1.483 TRUE 1.090 0.601 1.813 0.07
#> 356 1.016 0.671 TRUE -0.344 0.567 -0.607 0.544
#> 357 -0.203 0.359 TRUE 0.562 0.494 1.139 0.255
#> 358 0.033 -0.544 TRUE -0.577 0.493 -1.171 0.242
#> 359 -1.876 -1.197 TRUE 0.679 0.674 1.007 0.314
#> 360 -0.026 0.341 TRUE 0.368 0.493 0.746 0.455
#> 361 -0.752 -0.800 TRUE -0.048 0.526 -0.091 0.927
#> 362 0.706 0.838 TRUE 0.133 0.554 0.239 0.811
#> 363 -0.154 0.351 TRUE 0.505 0.493 1.024 0.306
#> 364 0.552 0.863 TRUE 0.311 0.546 0.569 0.569
#> 365 -0.232 -1.007 TRUE -0.775 0.523 -1.482 0.138
#> 366 1.229 1.309 TRUE 0.080 0.641 0.124 0.901
#> 367 -0.901 -1.513 TRUE -0.612 0.604 -1.015 0.31
#> 368 0.350 -0.035 TRUE -0.385 0.493 -0.781 0.435
#> 369 -1.293 -0.073 TRUE 1.220 0.551 2.214 0.027
#> 370 0.279 0.458 TRUE 0.179 0.505 0.354 0.723
#> 371 0.786 1.531 TRUE 0.745 0.628 1.187 0.235
#> 372 -0.170 0.296 TRUE 0.467 0.491 0.950 0.342
#> 373 -0.479 -0.199 TRUE 0.280 0.490 0.571 0.568
#> 374 -1.039 -0.627 TRUE 0.412 0.537 0.767 0.443
#> 375 0.097 -0.872 TRUE -0.970 0.513 -1.889 0.059
#> 376 1.252 0.813 TRUE -0.438 0.600 -0.731 0.465
#> 377 1.041 1.017 TRUE -0.023 0.596 -0.039 0.969
#> 378 0.526 0.448 TRUE -0.078 0.517 -0.152 0.88
#> 379 -2.133 -1.409 TRUE 0.723 0.730 0.990 0.322
#> 380 -0.630 -0.446 TRUE 0.184 0.501 0.367 0.714
#> 381 -0.659 -0.404 TRUE 0.254 0.502 0.507 0.612
#> 382 -0.538 -0.527 TRUE 0.012 0.500 0.023 0.982
#> 383 -0.701 -0.207 TRUE 0.494 0.500 0.987 0.324
#> 384 -1.109 -1.071 TRUE 0.038 0.573 0.065 0.948
#> 385 -1.214 -0.948 TRUE 0.265 0.573 0.463 0.643
#> 386 -1.577 -0.660 TRUE 0.917 0.598 1.533 0.125
#> 387 -0.237 -0.039 TRUE 0.198 0.484 0.409 0.682
#> 388 1.970 0.778 TRUE -1.192 0.680 -1.753 0.08
#> 389 -1.189 -0.742 TRUE 0.447 0.557 0.803 0.422
#> 390 -2.133 -1.492 TRUE 0.641 0.738 0.868 0.385
#> 391 1.056 0.679 TRUE -0.378 0.571 -0.661 0.509
#> 392 0.174 -1.067 TRUE -1.240 0.531 -2.335 0.02
#> 393 -1.005 -0.480 TRUE 0.525 0.528 0.995 0.32
#> 394 -1.459 -1.685 TRUE -0.226 0.674 -0.335 0.738
#> 395 -0.321 0.380 TRUE 0.701 0.497 1.412 0.158
#> 396 0.515 0.275 TRUE -0.240 0.509 -0.472 0.637
#> 397 0.900 0.892 TRUE -0.008 0.573 -0.013 0.989
#> 398 -1.495 -0.944 TRUE 0.551 0.604 0.911 0.362
#> 399 0.493 -0.680 TRUE -1.173 0.516 -2.275 0.023
#> 400 0.846 -0.109 TRUE -0.955 0.526 -1.817 0.069
#> 401 -0.437 -0.204 TRUE 0.233 0.488 0.478 0.633
#> 402 -1.117 -1.387 TRUE -0.270 0.605 -0.446 0.655
#> 403 -0.021 0.116 TRUE 0.137 0.486 0.283 0.777
#> 404 1.379 1.433 TRUE 0.053 0.668 0.080 0.936
#> 405 -1.876 -1.013 TRUE 0.862 0.660 1.306 0.192
#> 406 -1.097 -1.481 TRUE -0.384 0.614 -0.625 0.532
#> 407 -0.404 -0.073 TRUE 0.332 0.487 0.681 0.496
#> 408 -0.429 0.098 TRUE 0.527 0.490 1.076 0.282
#> 409 0.251 0.492 TRUE 0.241 0.506 0.477 0.634
#> 410 -0.212 -0.655 TRUE -0.443 0.498 -0.891 0.373
#> 411 -0.305 -1.038 TRUE -0.732 0.527 -1.390 0.164
#> 412 0.920 0.138 TRUE -0.782 0.535 -1.463 0.143
#> 413 -0.810 -1.296 TRUE -0.486 0.572 -0.848 0.396
#> 414 1.101 1.420 TRUE 0.319 0.640 0.498 0.618
#> 415 0.082 0.805 TRUE 0.723 0.524 1.380 0.167
#> 416 0.750 0.364 TRUE -0.385 0.528 -0.730 0.465
#> 417 0.665 0.872 TRUE 0.206 0.554 0.373 0.709
#> 418 -0.836 -0.634 TRUE 0.202 0.521 0.387 0.699
#> 419 -0.834 -0.041 TRUE 0.794 0.509 1.560 0.119
#> 420 0.134 0.592 TRUE 0.458 0.509 0.899 0.368
#> 421 -1.249 -1.645 TRUE -0.397 0.648 -0.612 0.54
#> 422 1.434 1.435 TRUE 0.001 0.673 0.002 0.998
#> 423 0.034 0.274 TRUE 0.240 0.491 0.489 0.625
#> 424 0.928 0.478 TRUE -0.451 0.548 -0.823 0.411
#> 425 1.093 -0.256 TRUE -1.348 0.549 -2.454 0.014
#> 426 0.826 1.069 TRUE 0.243 0.583 0.418 0.676
#> 427 0.155 -0.483 TRUE -0.638 0.493 -1.295 0.195
#> 428 -0.260 0.130 TRUE 0.390 0.487 0.802 0.423
#> 429 0.404 0.520 TRUE 0.116 0.514 0.226 0.822
#> 430 -0.198 0.085 TRUE 0.282 0.485 0.582 0.56
#> 431 1.015 0.756 TRUE -0.258 0.573 -0.451 0.652
#> 432 -1.876 -1.108 TRUE 0.768 0.667 1.151 0.25
#> 433 -1.189 -1.331 TRUE -0.142 0.605 -0.234 0.815
#> 434 0.276 0.784 TRUE 0.508 0.527 0.964 0.335
#> 435 -1.446 -1.143 TRUE 0.303 0.614 0.494 0.622
#> 436 -0.471 0.163 TRUE 0.634 0.493 1.287 0.198
#> 437 -1.418 -2.133 TRUE -0.714 0.731 -0.977 0.328
#> 438 0.564 0.693 TRUE 0.129 0.534 0.241 0.809
#> 439 1.592 0.623 TRUE -0.969 0.625 -1.549 0.121
#> 440 -0.591 0.379 TRUE 0.970 0.505 1.920 0.055
#> 441 0.763 0.389 TRUE -0.374 0.530 -0.705 0.481
#> 442 -1.090 -0.748 TRUE 0.342 0.548 0.625 0.532
#> 443 0.058 -0.020 TRUE -0.078 0.484 -0.161 0.872
#> 444 1.635 1.499 TRUE -0.136 0.701 -0.194 0.846
#> 445 1.379 1.211 TRUE -0.168 0.646 -0.260 0.795
#> 446 1.172 1.299 TRUE 0.127 0.634 0.201 0.841
#> 447 -2.133 -2.133 TRUE 0.000 0.814 0.000 1
#> 448 0.171 -0.076 TRUE -0.248 0.487 -0.509 0.611
#> 449 -1.035 -0.602 TRUE 0.433 0.536 0.808 0.419
#> 450 -1.710 -0.945 TRUE 0.765 0.632 1.210 0.226
#> 451 1.946 1.587 TRUE -0.359 0.743 -0.483 0.629
#> 452 -0.348 -0.893 TRUE -0.544 0.515 -1.056 0.291
#> 453 -0.248 0.158 TRUE 0.406 0.487 0.833 0.405
#> 454 -0.865 -0.051 TRUE 0.814 0.511 1.594 0.111
#> 455 1.527 1.389 TRUE -0.138 0.678 -0.204 0.839
#> 456 0.432 0.178 TRUE -0.254 0.501 -0.507 0.612
#> 457 -0.794 -0.264 TRUE 0.530 0.507 1.046 0.296
#> 458 -1.586 -0.841 TRUE 0.745 0.609 1.223 0.221
#> 459 -1.878 -1.587 TRUE 0.290 0.713 0.407 0.684
#> 460 1.909 1.652 TRUE -0.256 0.746 -0.344 0.731
#> 461 0.889 1.301 TRUE 0.412 0.610 0.675 0.5
#> 462 1.341 0.591 TRUE -0.750 0.595 -1.260 0.208
#> 463 0.457 0.746 TRUE 0.289 0.532 0.544 0.587
#> 464 0.713 0.733 TRUE 0.020 0.547 0.037 0.971
#> 465 -0.649 -0.029 TRUE 0.620 0.497 1.247 0.212
#> 466 -0.197 -0.976 TRUE -0.780 0.520 -1.500 0.134
#> 467 1.252 1.003 TRUE -0.248 0.615 -0.404 0.686
#> 468 -1.250 -1.442 TRUE -0.192 0.623 -0.308 0.758
#> 469 -1.629 -0.540 TRUE 1.089 0.601 1.813 0.07
#> 470 0.715 -0.029 TRUE -0.744 0.515 -1.445 0.149
#> 471 -0.998 -0.921 TRUE 0.076 0.551 0.139 0.89
#> 472 -0.582 -0.500 TRUE 0.081 0.501 0.163 0.871
#> 473 2.251 1.953 TRUE -0.297 0.815 -0.365 0.715
#> 474 -0.482 -0.279 TRUE 0.203 0.491 0.414 0.679
#> 475 -1.862 -1.629 TRUE 0.233 0.716 0.326 0.745
#> 476 0.921 0.585 TRUE -0.336 0.553 -0.608 0.543
#> 477 1.069 0.020 TRUE -1.050 0.547 -1.919 0.055
#> 478 1.009 0.246 TRUE -0.763 0.546 -1.398 0.162
#> 479 0.217 0.042 TRUE -0.175 0.489 -0.358 0.72
#> 480 0.994 0.881 TRUE -0.113 0.580 -0.194 0.846
#> 481 -0.312 -0.421 TRUE -0.109 0.489 -0.223 0.823
#> 482 0.909 0.378 TRUE -0.532 0.542 -0.981 0.326
#> 483 1.066 1.160 TRUE 0.095 0.611 0.155 0.877
#> 484 0.335 0.294 TRUE -0.041 0.500 -0.081 0.935
#> 485 0.277 0.171 TRUE -0.106 0.494 -0.215 0.83
#> 486 -0.893 -0.448 TRUE 0.445 0.518 0.858 0.391
#> 487 -0.054 0.407 TRUE 0.461 0.496 0.930 0.353
#> 488 0.350 0.643 TRUE 0.293 0.520 0.563 0.573
#> 489 1.205 1.483 TRUE 0.278 0.656 0.424 0.671
#> 490 -0.380 -0.342 TRUE 0.038 0.489 0.077 0.939
#> 491 1.913 1.691 TRUE -0.222 0.750 -0.296 0.767
#> 492 -0.964 -0.877 TRUE 0.087 0.545 0.160 0.873
#> 493 1.943 1.129 TRUE -0.814 0.702 -1.160 0.246
#> 494 -0.324 -0.101 TRUE 0.224 0.485 0.461 0.645
#> 495 0.035 0.922 TRUE 0.887 0.533 1.664 0.096
#> 496 -0.703 -0.681 TRUE 0.022 0.516 0.043 0.966
#> 497 0.352 -0.369 TRUE -0.720 0.496 -1.452 0.147
#> 498 -1.276 -0.186 TRUE 1.090 0.549 1.984 0.047
#> 499 -0.250 -0.190 TRUE 0.060 0.484 0.124 0.902
#> 500 -0.481 0.225 TRUE 0.706 0.495 1.426 0.154
#> 501 0.372 1.213 TRUE 0.841 0.571 1.474 0.14
#> 502 0.379 -0.077 TRUE -0.456 0.494 -0.921 0.357
#> 503 -2.133 -1.854 TRUE 0.279 0.778 0.358 0.72
#> 504 -1.143 -0.860 TRUE 0.283 0.560 0.504 0.614
#> 505 -1.026 -0.657 TRUE 0.369 0.537 0.686 0.493
#> 506 0.167 0.142 TRUE -0.025 0.489 -0.051 0.959
#> 507 1.540 1.252 TRUE -0.289 0.667 -0.433 0.665
#> 508 0.578 0.763 TRUE 0.185 0.540 0.342 0.733
#> 509 -0.724 -0.547 TRUE 0.177 0.510 0.347 0.728
#> 510 -0.371 0.078 TRUE 0.448 0.488 0.919 0.358
#> 511 -0.788 0.044 TRUE 0.832 0.506 1.642 0.101
#> 512 -0.383 -0.007 TRUE 0.376 0.487 0.772 0.44
#> 513 -0.862 -0.715 TRUE 0.147 0.528 0.279 0.78
#> 514 -0.802 -0.158 TRUE 0.644 0.506 1.272 0.203
#> 515 -0.100 0.190 TRUE 0.291 0.487 0.597 0.551
#> 516 1.452 1.364 TRUE -0.088 0.668 -0.132 0.895
#> 517 0.649 0.480 TRUE -0.169 0.526 -0.321 0.748
#> 518 -0.306 0.930 TRUE 1.237 0.535 2.313 0.021
#> 519 0.535 0.813 TRUE 0.278 0.541 0.514 0.607
#> 520 0.522 -0.375 TRUE -0.897 0.505 -1.776 0.076
#> 521 0.695 0.308 TRUE -0.386 0.522 -0.741 0.459
#> 522 -0.637 -1.638 TRUE -1.001 0.606 -1.653 0.098
#> 523 1.331 0.928 TRUE -0.403 0.617 -0.653 0.514
#> 524 0.546 0.643 TRUE 0.098 0.529 0.185 0.854
#> 525 0.704 0.739 TRUE 0.035 0.546 0.064 0.949
#> 526 1.209 0.427 TRUE -0.782 0.573 -1.365 0.172
#> 527 0.379 -0.010 TRUE -0.389 0.495 -0.786 0.432
#> 528 0.838 1.211 TRUE 0.374 0.597 0.625 0.532
#> 529 0.593 0.194 TRUE -0.399 0.511 -0.780 0.435
#> 530 0.020 0.090 TRUE 0.070 0.485 0.145 0.885
#> 531 0.203 -0.429 TRUE -0.632 0.492 -1.283 0.2
#> 532 2.251 2.251 TRUE 0.000 0.846 0.000 1
#> 533 1.245 0.443 TRUE -0.803 0.577 -1.391 0.164
#> 534 -0.528 -0.402 TRUE 0.127 0.495 0.255 0.798
#> 535 1.972 1.662 TRUE -0.310 0.754 -0.411 0.681
#> 536 0.332 0.387 TRUE 0.056 0.504 0.110 0.912
#> 537 -0.121 -0.518 TRUE -0.397 0.491 -0.809 0.419
#> 538 -0.691 -0.914 TRUE -0.223 0.530 -0.421 0.674
#> 539 -0.274 -0.317 TRUE -0.043 0.486 -0.088 0.93
#> 540 0.243 0.334 TRUE 0.091 0.498 0.183 0.855
#> 541 -1.086 -0.472 TRUE 0.614 0.535 1.148 0.251
#> 542 -1.503 -1.315 TRUE 0.188 0.637 0.295 0.768
#> 543 -0.783 -0.861 TRUE -0.078 0.532 -0.146 0.884
#> 544 0.389 0.053 TRUE -0.336 0.496 -0.678 0.498
#> 545 -0.874 -0.738 TRUE 0.136 0.530 0.256 0.798
#> 546 0.255 -0.022 TRUE -0.276 0.490 -0.565 0.572
#> 547 0.775 0.411 TRUE -0.365 0.532 -0.686 0.493
#> 548 0.621 1.013 TRUE 0.392 0.564 0.695 0.487
#> 549 0.400 -0.168 TRUE -0.568 0.495 -1.147 0.251
#> 550 0.238 0.260 TRUE 0.021 0.495 0.043 0.966
#> 551 -0.351 -1.496 TRUE -1.145 0.578 -1.981 0.048
#> 552 0.730 0.617 TRUE -0.113 0.540 -0.209 0.834
#> 553 0.138 0.902 TRUE 0.764 0.533 1.434 0.152
#> 554 0.582 0.407 TRUE -0.175 0.518 -0.338 0.736
#> 555 -1.418 -1.367 TRUE 0.052 0.632 0.082 0.935
#> 556 -0.275 0.317 TRUE 0.592 0.493 1.201 0.23
#> 557 0.015 0.366 TRUE 0.351 0.494 0.711 0.477
#> 558 -0.275 0.369 TRUE 0.644 0.495 1.300 0.193
#> 559 0.223 0.337 TRUE 0.114 0.498 0.229 0.819
#> 560 1.953 1.654 TRUE -0.299 0.751 -0.398 0.69
#> 561 0.361 0.280 TRUE -0.081 0.501 -0.161 0.872
#> 562 0.330 -0.254 TRUE -0.584 0.493 -1.185 0.236
#> 563 -1.228 -0.661 TRUE 0.567 0.557 1.018 0.309
#> 564 -1.058 -2.133 TRUE -1.075 0.701 -1.532 0.125
#> 565 0.741 0.497 TRUE -0.244 0.534 -0.458 0.647
#> 566 -1.165 -1.023 TRUE 0.142 0.574 0.247 0.805
#> 567 1.542 1.147 TRUE -0.395 0.657 -0.600 0.548
#> 568 -1.165 -1.363 TRUE -0.198 0.607 -0.326 0.744
#> 569 1.449 1.913 TRUE 0.464 0.726 0.639 0.523
#> 570 0.106 -0.181 TRUE -0.287 0.485 -0.592 0.554
#> 571 0.962 0.430 TRUE -0.532 0.549 -0.969 0.332
#> 572 -0.139 -0.427 TRUE -0.288 0.488 -0.590 0.555
#> 573 0.981 1.413 TRUE 0.432 0.629 0.686 0.493
#> 574 -0.474 0.294 TRUE 0.767 0.497 1.544 0.123
#> 575 -0.743 -1.588 TRUE -0.846 0.604 -1.400 0.161
#> 576 0.103 0.741 TRUE 0.638 0.519 1.229 0.219
#> 577 0.463 0.418 TRUE -0.045 0.512 -0.088 0.93
#> 578 1.481 0.628 TRUE -0.853 0.613 -1.393 0.164
#> 579 -0.748 -0.130 TRUE 0.618 0.503 1.230 0.219
#> 580 0.257 1.455 TRUE 1.197 0.594 2.017 0.044
#> 581 0.236 -0.064 TRUE -0.301 0.489 -0.615 0.538
#> 582 -0.637 0.411 TRUE 1.049 0.509 2.059 0.039
#> 583 0.094 0.433 TRUE 0.339 0.499 0.680 0.497
#> 584 1.215 1.517 TRUE 0.302 0.661 0.457 0.647
#> 585 -0.304 -0.499 TRUE -0.194 0.492 -0.395 0.693
#> 586 -0.435 -0.073 TRUE 0.362 0.488 0.741 0.458
#> 587 0.315 0.181 TRUE -0.134 0.496 -0.270 0.787
#> 588 -0.147 -0.331 TRUE -0.184 0.485 -0.379 0.705
#> 589 -0.121 -0.801 TRUE -0.680 0.506 -1.344 0.179
#> 590 0.676 0.559 TRUE -0.117 0.532 -0.220 0.825
#> 591 0.901 0.639 TRUE -0.261 0.555 -0.471 0.637
#> 592 1.913 1.036 TRUE -0.877 0.691 -1.269 0.205
#> 593 -0.701 -0.253 TRUE 0.449 0.501 0.895 0.371
#> 594 -0.922 -1.165 TRUE -0.242 0.566 -0.428 0.669
#> 595 -1.004 -0.647 TRUE 0.357 0.535 0.667 0.505
#> 596 -1.060 -1.065 TRUE -0.005 0.568 -0.009 0.993
#> 597 -0.914 -1.003 TRUE -0.088 0.551 -0.160 0.873
#> 598 -0.097 -0.722 TRUE -0.625 0.501 -1.247 0.213
#> 599 -0.118 0.737 TRUE 0.855 0.517 1.654 0.098
#> 600 -0.269 0.290 TRUE 0.560 0.492 1.138 0.255
#> 601 -0.051 0.470 TRUE 0.521 0.499 1.044 0.296
#> 602 0.229 0.035 TRUE -0.194 0.489 -0.396 0.692
#> 603 0.730 -0.024 TRUE -0.754 0.517 -1.461 0.144
#> 604 0.195 0.251 TRUE 0.056 0.494 0.113 0.91
#> 605 -1.398 -1.004 TRUE 0.394 0.597 0.659 0.51
#> 606 0.921 0.746 TRUE -0.175 0.564 -0.310 0.757
#> 607 -1.645 -1.876 TRUE -0.230 0.719 -0.320 0.749
#> 608 -1.379 -1.598 TRUE -0.219 0.655 -0.335 0.738
#> 609 -0.672 -0.803 TRUE -0.131 0.521 -0.251 0.802
#> 610 1.000 0.050 TRUE -0.950 0.541 -1.757 0.079
#> 611 -0.460 -0.658 TRUE -0.197 0.503 -0.392 0.695
#> 612 0.731 1.691 TRUE 0.960 0.643 1.492 0.136
#> 613 -0.333 0.703 TRUE 1.036 0.516 2.007 0.045
#> 614 1.628 0.936 TRUE -0.692 0.650 -1.065 0.287
#> 615 -0.274 -0.716 TRUE -0.442 0.502 -0.880 0.379
#> 616 0.386 0.085 TRUE -0.301 0.496 -0.607 0.544
#> 617 -0.730 -1.334 TRUE -0.604 0.572 -1.057 0.291
#> 618 -0.234 -0.437 TRUE -0.203 0.489 -0.414 0.679
#> 619 -1.232 -1.502 TRUE -0.270 0.629 -0.430 0.667
#> 620 -0.462 -1.092 TRUE -0.629 0.536 -1.175 0.24
#> 621 -0.197 0.066 TRUE 0.264 0.485 0.544 0.586
#> 622 1.224 1.218 TRUE -0.006 0.631 -0.009 0.993
#> 623 -0.952 -1.432 TRUE -0.481 0.597 -0.805 0.421
#> 624 0.552 0.836 TRUE 0.284 0.544 0.522 0.602
#> 625 0.293 0.176 TRUE -0.116 0.495 -0.235 0.814
#> 626 0.716 0.549 TRUE -0.166 0.535 -0.311 0.756
#> 627 -0.985 -0.284 TRUE 0.702 0.522 1.345 0.179
#> 628 -0.589 -0.347 TRUE 0.242 0.497 0.487 0.626
#> 629 0.885 -0.024 TRUE -0.909 0.529 -1.717 0.086
#> 630 -1.492 -1.331 TRUE 0.161 0.637 0.252 0.801
#> 631 -1.367 -1.336 TRUE 0.031 0.624 0.050 0.96
#> 632 -0.279 -0.738 TRUE -0.459 0.503 -0.912 0.362
#> 633 -0.351 -0.966 TRUE -0.614 0.521 -1.179 0.239
#> 634 0.462 1.675 TRUE 1.213 0.627 1.934 0.053
#> 635 1.049 0.838 TRUE -0.211 0.582 -0.362 0.717
#> 636 -0.067 0.125 TRUE 0.191 0.485 0.394 0.693
#> 637 -1.318 -1.331 TRUE -0.013 0.618 -0.021 0.983
#> 638 0.704 0.759 TRUE 0.055 0.548 0.100 0.92
#> 639 -0.050 -0.640 TRUE -0.590 0.497 -1.187 0.235
#> 640 -1.609 -0.909 TRUE 0.700 0.616 1.136 0.256
#> 641 0.910 1.482 TRUE 0.572 0.632 0.906 0.365
#> 642 -0.929 -1.645 TRUE -0.716 0.623 -1.150 0.25
#> 643 0.375 0.565 TRUE 0.190 0.516 0.368 0.713
#> 644 -0.030 -0.471 TRUE -0.441 0.489 -0.902 0.367
#> 645 -1.407 -1.070 TRUE 0.337 0.603 0.559 0.576
#> 646 -1.002 -1.645 TRUE -0.644 0.628 -1.025 0.305
#> 647 -1.471 -0.696 TRUE 0.774 0.587 1.320 0.187
#> 648 0.116 -0.240 TRUE -0.356 0.486 -0.732 0.464
#> 649 -0.181 -0.067 TRUE 0.113 0.483 0.235 0.814
#> 650 1.453 1.254 TRUE -0.199 0.658 -0.302 0.763
#> 651 -0.322 0.054 TRUE 0.376 0.486 0.774 0.439
#> 652 -0.192 -0.175 TRUE 0.017 0.483 0.035 0.972
#> 653 1.345 1.379 TRUE 0.034 0.659 0.052 0.959
#> 654 0.965 0.397 TRUE -0.568 0.547 -1.037 0.3
#> 655 0.880 1.972 TRUE 1.091 0.687 1.589 0.112
#> 656 -0.197 0.812 TRUE 1.008 0.523 1.928 0.054
#> 657 0.507 0.640 TRUE 0.133 0.527 0.252 0.801
#> 658 -0.456 0.369 TRUE 0.825 0.500 1.651 0.099
#> 659 0.111 0.217 TRUE 0.105 0.490 0.214 0.83
#> 660 0.526 0.093 TRUE -0.433 0.504 -0.858 0.391
#> 661 -0.484 -0.488 TRUE -0.004 0.497 -0.009 0.993
#> 662 -0.289 -0.752 TRUE -0.462 0.505 -0.917 0.359
#> 663 -0.383 -0.813 TRUE -0.430 0.511 -0.842 0.4
#> 664 0.586 -0.004 TRUE -0.590 0.506 -1.166 0.244
#> 665 1.407 1.835 TRUE 0.428 0.714 0.600 0.549
#> 666 -0.147 -0.641 TRUE -0.493 0.497 -0.993 0.321
#> 667 -1.346 -1.312 TRUE 0.034 0.619 0.055 0.956
#> 668 1.019 0.311 TRUE -0.708 0.549 -1.290 0.197
#> 669 -0.522 -0.349 TRUE 0.173 0.494 0.351 0.726
#> 670 0.242 0.450 TRUE 0.208 0.504 0.413 0.679
#> 671 0.602 0.536 TRUE -0.066 0.526 -0.125 0.901
#> 672 1.255 2.251 TRUE 0.996 0.749 1.329 0.184
#> 673 0.594 -0.166 TRUE -0.760 0.507 -1.500 0.134
#> 674 0.757 1.190 TRUE 0.433 0.590 0.735 0.463
#> 675 -0.478 -1.432 TRUE -0.954 0.573 -1.664 0.096
#> 676 -0.020 -0.632 TRUE -0.612 0.497 -1.232 0.218
#> 677 0.100 0.436 TRUE 0.336 0.499 0.673 0.501
#> 678 -0.399 -0.212 TRUE 0.186 0.487 0.383 0.702
#> 679 -1.058 -0.412 TRUE 0.646 0.531 1.216 0.224
#> 680 -1.485 -1.023 TRUE 0.461 0.609 0.758 0.449
#> 681 0.618 -0.023 TRUE -0.642 0.508 -1.262 0.207
#> 682 -0.911 0.454 TRUE 1.366 0.529 2.583 0.01
#> 683 -0.943 -0.748 TRUE 0.195 0.536 0.365 0.715
#> 684 -0.153 -0.451 TRUE -0.297 0.489 -0.609 0.543
#> 685 0.573 0.336 TRUE -0.236 0.514 -0.459 0.646
#> 686 1.455 1.943 TRUE 0.489 0.730 0.669 0.503
#> 687 0.087 0.394 TRUE 0.308 0.497 0.619 0.536
#> 688 -0.881 0.082 TRUE 0.963 0.514 1.875 0.061
#> 689 -0.626 -1.032 TRUE -0.405 0.536 -0.756 0.45
#> 690 -1.139 -0.756 TRUE 0.383 0.553 0.693 0.488
#> 691 0.306 0.724 TRUE 0.418 0.524 0.798 0.425
#> 692 -0.600 -1.586 TRUE -0.986 0.597 -1.651 0.099
#> 693 -0.375 0.047 TRUE 0.422 0.487 0.867 0.386
#> 694 0.473 0.095 TRUE -0.378 0.501 -0.754 0.451
#> 695 0.439 1.029 TRUE 0.590 0.555 1.063 0.288
#> 696 1.005 1.040 TRUE 0.035 0.595 0.059 0.953
#> 697 1.188 0.386 TRUE -0.802 0.569 -1.410 0.159
#> 698 -1.365 -1.360 TRUE 0.005 0.626 0.009 0.993
#> 699 0.120 0.897 TRUE 0.777 0.532 1.459 0.144
#> 700 0.318 0.863 TRUE 0.544 0.535 1.017 0.309
#> 701 -1.233 -1.258 TRUE -0.024 0.602 -0.040 0.968
#> 702 2.251 2.251 TRUE 0.000 0.846 0.000 1
#> 703 -0.510 0.053 TRUE 0.563 0.492 1.144 0.252
#> 704 -0.246 0.674 TRUE 0.920 0.513 1.794 0.073
#> 705 -0.700 -0.621 TRUE 0.079 0.512 0.154 0.877
#> 706 -1.511 -1.302 TRUE 0.209 0.636 0.329 0.742
#> 707 0.660 1.191 TRUE 0.532 0.583 0.912 0.362
#> 708 -0.753 -0.508 TRUE 0.244 0.511 0.479 0.632
#> 709 -0.247 -0.295 TRUE -0.048 0.485 -0.098 0.922
#> 710 0.946 1.648 TRUE 0.702 0.653 1.075 0.282
#> 711 -1.351 -1.710 TRUE -0.359 0.666 -0.539 0.59
#> 712 -0.675 -0.852 TRUE -0.177 0.525 -0.338 0.736
#> 713 -0.774 -1.044 TRUE -0.271 0.546 -0.496 0.62
#> 714 0.994 1.190 TRUE 0.196 0.608 0.323 0.747
#> 715 0.364 0.165 TRUE -0.198 0.497 -0.399 0.69
#> 716 -0.221 -0.748 TRUE -0.527 0.503 -1.047 0.295
#> 717 -0.917 -1.552 TRUE -0.635 0.610 -1.042 0.297
#> 718 -1.316 -0.954 TRUE 0.362 0.584 0.619 0.536
#> 719 -1.452 -0.519 TRUE 0.933 0.577 1.618 0.106
#> 720 -1.091 -0.700 TRUE 0.391 0.546 0.717 0.473
#> 721 0.115 0.341 TRUE 0.226 0.495 0.456 0.648
#> 722 1.150 0.604 TRUE -0.545 0.576 -0.947 0.344
#> 723 -1.331 -1.588 TRUE -0.257 0.649 -0.397 0.692
#> 724 0.350 -0.218 TRUE -0.568 0.494 -1.151 0.25
#> 725 1.288 0.920 TRUE -0.368 0.612 -0.602 0.547
#> 726 -0.385 -0.273 TRUE 0.112 0.488 0.230 0.818
#> 727 -0.237 -0.068 TRUE 0.169 0.484 0.349 0.727
#> 728 1.148 0.463 TRUE -0.686 0.568 -1.207 0.227
#> 729 0.274 0.899 TRUE 0.625 0.537 1.164 0.244
#> 730 -0.951 -0.291 TRUE 0.660 0.519 1.272 0.203
#> 731 -0.694 -0.765 TRUE -0.071 0.520 -0.136 0.892
#> 732 -0.998 -1.260 TRUE -0.262 0.582 -0.450 0.653
#> 733 -0.256 -0.708 TRUE -0.452 0.501 -0.902 0.367
#> 734 1.626 1.972 TRUE 0.346 0.750 0.461 0.645
#> 735 0.051 0.112 TRUE 0.061 0.486 0.125 0.9
#> 736 0.096 0.421 TRUE 0.324 0.498 0.651 0.515
#> 737 1.656 2.251 TRUE 0.595 0.785 0.758 0.449
#> 738 0.272 -0.694 TRUE -0.966 0.506 -1.907 0.056
#> 739 1.389 1.258 TRUE -0.131 0.651 -0.202 0.84
#> 740 -1.185 -0.865 TRUE 0.320 0.564 0.567 0.571
#> 741 1.104 0.817 TRUE -0.287 0.585 -0.490 0.624
#> 742 -0.185 -0.140 TRUE 0.046 0.483 0.094 0.925
#> 743 -0.131 -0.676 TRUE -0.545 0.498 -1.094 0.274
#> 744 1.233 0.388 TRUE -0.845 0.574 -1.474 0.14
#> 745 0.780 0.590 TRUE -0.191 0.542 -0.352 0.725
#> 746 -0.401 -0.644 TRUE -0.242 0.501 -0.484 0.628
#> 747 -0.958 -0.052 TRUE 0.906 0.518 1.748 0.08
#> 748 -1.267 -1.689 TRUE -0.422 0.655 -0.644 0.52
#> 749 -0.809 -0.426 TRUE 0.383 0.511 0.749 0.454
#> 750 1.388 0.537 TRUE -0.851 0.597 -1.424 0.154
#> 751 1.039 0.947 TRUE -0.092 0.590 -0.156 0.876
#> 752 -0.873 -0.645 TRUE 0.228 0.525 0.435 0.664
#> 753 0.054 0.368 TRUE 0.314 0.495 0.635 0.526
#> 754 1.211 0.546 TRUE -0.665 0.579 -1.150 0.25
#> 755 0.403 0.377 TRUE -0.026 0.507 -0.051 0.959
#> 756 0.477 0.660 TRUE 0.183 0.527 0.348 0.728
#> 757 0.786 -0.051 TRUE -0.837 0.521 -1.607 0.108
#> 758 0.230 0.796 TRUE 0.566 0.527 1.075 0.282
#> 759 -1.689 -2.133 TRUE -0.444 0.759 -0.584 0.559
#> 760 0.546 1.315 TRUE 0.769 0.590 1.304 0.192
#> 761 1.398 1.943 TRUE 0.546 0.725 0.752 0.452
#> 762 -1.050 -1.094 TRUE -0.044 0.570 -0.078 0.938
#> 763 0.088 -0.505 TRUE -0.593 0.492 -1.205 0.228
#> 764 1.031 0.858 TRUE -0.173 0.582 -0.297 0.766
#> 765 0.042 0.302 TRUE 0.261 0.492 0.530 0.596
#> 766 -1.401 -1.627 TRUE -0.225 0.660 -0.341 0.733
#> 767 1.008 0.958 TRUE -0.050 0.588 -0.085 0.932
#> 768 0.830 0.473 TRUE -0.356 0.539 -0.661 0.509
#> 769 1.013 0.691 TRUE -0.323 0.568 -0.568 0.57
#> 770 -0.479 -1.255 TRUE -0.776 0.553 -1.405 0.16
#> 771 -0.433 -1.192 TRUE -0.759 0.545 -1.394 0.163
#> 772 0.939 0.778 TRUE -0.160 0.568 -0.283 0.778
#> 773 0.150 0.295 TRUE 0.145 0.494 0.293 0.77
#> 774 -1.588 -1.862 TRUE -0.274 0.711 -0.385 0.7
#> 775 -1.295 -0.605 TRUE 0.690 0.562 1.228 0.219
#> 776 1.087 1.207 TRUE 0.119 0.617 0.193 0.847
#> 777 0.733 -0.209 TRUE -0.942 0.517 -1.822 0.068
#> 778 0.778 0.789 TRUE 0.011 0.555 0.020 0.984
#> 779 0.808 0.567 TRUE -0.242 0.543 -0.446 0.656
#> 780 0.606 0.012 TRUE -0.594 0.508 -1.169 0.242
#> 781 0.687 0.170 TRUE -0.517 0.517 -1.002 0.316
#> 782 -0.809 0.563 TRUE 1.372 0.528 2.601 0.009
#> 783 0.268 0.415 TRUE 0.147 0.503 0.293 0.769
#> 784 -0.424 -0.242 TRUE 0.182 0.488 0.373 0.709
#> 785 1.459 1.152 TRUE -0.307 0.649 -0.473 0.636
#> 786 0.191 0.045 TRUE -0.146 0.488 -0.299 0.765
#> 787 0.403 0.141 TRUE -0.262 0.498 -0.525 0.599
#> 788 -0.539 -0.191 TRUE 0.348 0.492 0.708 0.479
#> 789 -1.439 -1.627 TRUE -0.187 0.664 -0.282 0.778
#> 790 -1.736 -1.300 TRUE 0.436 0.664 0.656 0.512
#> 791 -1.336 -0.285 TRUE 1.051 0.557 1.887 0.059
#> 792 0.858 1.046 TRUE 0.188 0.583 0.323 0.747
#> 793 -0.993 -0.467 TRUE 0.526 0.527 0.999 0.318
#> 794 0.828 1.307 TRUE 0.479 0.607 0.789 0.43
#> 795 1.013 0.538 TRUE -0.475 0.559 -0.849 0.396
#> 796 -0.323 -0.472 TRUE -0.149 0.491 -0.304 0.761
#> 797 -0.558 -1.119 TRUE -0.561 0.542 -1.036 0.3
#> 798 -0.556 -0.604 TRUE -0.047 0.504 -0.094 0.925
#> 799 0.116 -0.123 TRUE -0.239 0.485 -0.493 0.622
#> 800 -0.155 0.220 TRUE 0.375 0.488 0.768 0.442
#> 801 -0.631 -1.284 TRUE -0.653 0.562 -1.163 0.245
#> 802 -0.420 -1.459 TRUE -1.040 0.575 -1.809 0.07
#> 803 -0.146 -0.121 TRUE 0.025 0.483 0.053 0.958
#> 804 1.320 0.787 TRUE -0.532 0.605 -0.880 0.379
#> 805 -0.598 -0.409 TRUE 0.189 0.499 0.379 0.705
#> 806 0.749 0.563 TRUE -0.186 0.538 -0.346 0.729
#> 807 -0.713 0.396 TRUE 1.109 0.513 2.163 0.031
#> 808 -0.561 -0.246 TRUE 0.315 0.494 0.639 0.523
#> 809 1.482 1.382 TRUE -0.100 0.673 -0.149 0.882
#> 810 -1.365 -0.660 TRUE 0.705 0.572 1.233 0.218
#> 811 1.035 1.486 TRUE 0.451 0.642 0.703 0.482
#> 812 0.053 0.095 TRUE 0.041 0.486 0.085 0.933
#> 813 -0.428 -1.645 TRUE -1.218 0.600 -2.031 0.042
#> 814 0.435 0.622 TRUE 0.187 0.522 0.359 0.72
#> 815 -0.318 -0.056 TRUE 0.262 0.485 0.540 0.589
#> 816 -0.273 -0.448 TRUE -0.175 0.490 -0.358 0.721
#> 817 1.041 -0.706 TRUE -1.747 0.559 -3.125 0.002
#> 818 0.108 0.189 TRUE 0.081 0.489 0.165 0.869
#> 819 -0.085 0.660 TRUE 0.745 0.511 1.459 0.145
#> 820 -0.566 -0.836 TRUE -0.270 0.518 -0.522 0.602
#> 821 0.455 0.427 TRUE -0.028 0.512 -0.054 0.957
#> 822 -0.163 0.496 TRUE 0.659 0.501 1.316 0.188
#> 823 -1.139 -1.117 TRUE 0.022 0.580 0.037 0.97
#> 824 1.382 1.691 TRUE 0.309 0.695 0.445 0.657
#> 825 -0.600 -0.701 TRUE -0.101 0.511 -0.197 0.844
#> 826 -0.806 -0.478 TRUE 0.329 0.513 0.641 0.521
#> 827 0.879 0.730 TRUE -0.148 0.559 -0.266 0.791
#> 828 -1.219 -0.412 TRUE 0.807 0.547 1.476 0.14
#> 829 -1.225 -1.329 TRUE -0.104 0.609 -0.171 0.864
#> 830 2.251 1.221 TRUE -1.029 0.746 -1.379 0.168
#> 831 -0.259 -0.839 TRUE -0.580 0.510 -1.138 0.255
#> 832 0.500 1.441 TRUE 0.941 0.601 1.565 0.118
#> 833 0.840 0.970 TRUE 0.131 0.575 0.227 0.82
#> 834 1.077 1.403 TRUE 0.327 0.636 0.513 0.608
#> 835 -0.578 -0.846 TRUE -0.268 0.520 -0.515 0.606
#> 836 1.234 1.145 TRUE -0.089 0.625 -0.143 0.887
#> 837 -0.229 -0.177 TRUE 0.053 0.484 0.109 0.913
#> 838 0.014 1.194 TRUE 1.180 0.560 2.108 0.035
#> 839 -0.100 0.305 TRUE 0.405 0.491 0.825 0.41
#> 840 1.207 1.266 TRUE 0.059 0.634 0.092 0.926
#> 841 0.806 0.971 TRUE 0.165 0.573 0.289 0.773
#> 842 0.451 0.358 TRUE -0.093 0.508 -0.183 0.855
#> 843 1.013 1.078 TRUE 0.065 0.599 0.109 0.913
#> 844 -0.058 -0.353 TRUE -0.294 0.486 -0.606 0.544
#> 845 0.221 -0.099 TRUE -0.320 0.488 -0.655 0.513
#> 846 0.114 0.463 TRUE 0.349 0.501 0.697 0.486
#> 847 -0.330 -0.571 TRUE -0.241 0.496 -0.486 0.627
#> 848 -0.461 -1.397 TRUE -0.936 0.568 -1.646 0.1
#> 849 -0.883 -0.892 TRUE -0.009 0.540 -0.017 0.986
#> 850 1.913 1.113 TRUE -0.799 0.697 -1.147 0.251
#> 851 0.872 0.853 TRUE -0.019 0.568 -0.033 0.973
#> 852 0.494 -0.364 TRUE -0.858 0.503 -1.705 0.088
#> 853 -0.079 0.008 TRUE 0.087 0.483 0.179 0.858
#> 854 -0.475 -0.220 TRUE 0.255 0.490 0.520 0.603
#> 855 -0.148 -0.304 TRUE -0.156 0.485 -0.322 0.747
#> 856 0.442 0.549 TRUE 0.106 0.518 0.206 0.837
#> 857 0.031 -0.432 TRUE -0.463 0.489 -0.946 0.344
#> 858 0.520 -0.123 TRUE -0.643 0.502 -1.281 0.2
#> 859 0.007 0.026 TRUE 0.018 0.484 0.038 0.97
#> 860 -0.936 -0.471 TRUE 0.465 0.522 0.890 0.374
#> 861 -0.997 -1.183 TRUE -0.186 0.574 -0.324 0.746
#> 862 0.455 0.660 TRUE 0.205 0.526 0.390 0.696
#> 863 -1.265 -0.726 TRUE 0.538 0.564 0.954 0.34
#> 864 -0.363 -0.956 TRUE -0.593 0.521 -1.139 0.255
#> 865 0.074 0.378 TRUE 0.304 0.496 0.614 0.539
#> 866 0.482 0.477 TRUE -0.005 0.516 -0.010 0.992
#> 867 -0.050 -0.009 TRUE 0.041 0.483 0.084 0.933
#> 868 0.435 0.509 TRUE 0.074 0.515 0.144 0.885
#> 869 -0.075 -0.572 TRUE -0.497 0.493 -1.008 0.313
#> 870 0.613 0.563 TRUE -0.050 0.528 -0.095 0.924
#> 871 0.563 0.482 TRUE -0.081 0.521 -0.155 0.877
#> 872 -0.196 -0.026 TRUE 0.169 0.483 0.350 0.726
#> 873 -1.876 -1.854 TRUE 0.022 0.744 0.029 0.977
#> 874 -0.394 0.301 TRUE 0.695 0.495 1.405 0.16
#> 875 0.727 1.040 TRUE 0.313 0.573 0.547 0.585
#> 876 -0.108 -0.295 TRUE -0.187 0.484 -0.386 0.699
#> 877 1.165 1.296 TRUE 0.131 0.633 0.206 0.837
#> 878 0.629 0.789 TRUE 0.160 0.545 0.293 0.769
#> 879 -0.390 -0.092 TRUE 0.298 0.487 0.612 0.54
#> 880 -0.691 -1.325 TRUE -0.633 0.569 -1.113 0.266
#> 881 -0.745 -1.503 TRUE -0.758 0.593 -1.279 0.201
#> 882 -0.548 -0.050 TRUE 0.498 0.492 1.012 0.311
#> 883 0.196 0.117 TRUE -0.078 0.490 -0.160 0.873
#> 884 -0.735 -0.782 TRUE -0.047 0.523 -0.091 0.928
#> 885 0.730 0.629 TRUE -0.101 0.541 -0.187 0.852
#> 886 -1.062 -0.461 TRUE 0.601 0.533 1.128 0.259
#> 887 -1.097 -0.144 TRUE 0.953 0.530 1.796 0.073
#> 888 -0.074 -0.490 TRUE -0.415 0.490 -0.848 0.396
#> 889 -1.638 -0.667 TRUE 0.971 0.607 1.600 0.11
#> 890 0.941 0.240 TRUE -0.701 0.539 -1.300 0.193
#> 891 -0.018 -0.610 TRUE -0.592 0.495 -1.195 0.232
#> 892 0.188 0.162 TRUE -0.026 0.491 -0.053 0.958
#> 893 1.411 1.249 TRUE -0.162 0.653 -0.248 0.804
#> 894 0.318 0.314 TRUE -0.003 0.500 -0.007 0.995
#> 895 -0.233 0.079 TRUE 0.312 0.485 0.643 0.52
#> 896 1.000 0.554 TRUE -0.445 0.559 -0.797 0.425
#> 897 1.345 1.205 TRUE -0.140 0.642 -0.218 0.827
#> 898 -0.526 -0.170 TRUE 0.356 0.491 0.725 0.468
#> 899 -0.024 -0.351 TRUE -0.326 0.486 -0.672 0.502
#> 900 -0.598 -0.895 TRUE -0.297 0.524 -0.567 0.571
#> 901 -0.600 -0.714 TRUE -0.114 0.512 -0.223 0.824
#> 902 1.254 1.972 TRUE 0.718 0.716 1.004 0.316
#> 903 1.261 1.943 TRUE 0.682 0.713 0.957 0.339
#> 904 0.351 -0.065 TRUE -0.416 0.493 -0.844 0.399
#> 905 -0.637 -0.612 TRUE 0.026 0.508 0.050 0.96
#> 906 1.880 2.251 TRUE 0.371 0.807 0.459 0.646
#> 907 0.911 0.285 TRUE -0.626 0.538 -1.164 0.245
#> 908 -0.016 -0.820 TRUE -0.803 0.508 -1.582 0.114
#> 909 -1.645 -2.133 TRUE -0.487 0.754 -0.646 0.518
#> 910 1.420 0.067 TRUE -1.353 0.585 -2.311 0.021
#> 911 -1.644 -2.133 TRUE -0.488 0.754 -0.647 0.517
#> 912 2.251 1.425 TRUE -0.825 0.764 -1.080 0.28
#> 913 -1.081 -1.503 TRUE -0.422 0.616 -0.686 0.493
#> 914 1.152 1.361 TRUE 0.208 0.639 0.326 0.744
#> 915 0.771 1.055 TRUE 0.284 0.578 0.491 0.623
#> 916 1.599 0.643 TRUE -0.956 0.627 -1.525 0.127
#> 917 1.040 1.413 TRUE 0.373 0.634 0.588 0.557
#> 918 0.986 1.519 TRUE 0.533 0.641 0.831 0.406
#> 919 0.638 0.057 TRUE -0.581 0.511 -1.137 0.255
#> 920 0.248 -0.197 TRUE -0.444 0.489 -0.908 0.364
#> 921 -0.914 -1.408 TRUE -0.494 0.592 -0.835 0.404
#> 922 -0.454 0.094 TRUE 0.547 0.491 1.116 0.264
#> 923 0.330 0.111 TRUE -0.219 0.494 -0.442 0.658
#> 924 1.650 1.589 TRUE -0.062 0.711 -0.087 0.931
#> 925 -0.898 -0.861 TRUE 0.037 0.539 0.069 0.945
#> 926 1.972 1.814 TRUE -0.158 0.770 -0.205 0.838
#> 927 -0.490 -0.761 TRUE -0.271 0.510 -0.532 0.595
#> 928 -0.261 -1.052 TRUE -0.791 0.527 -1.500 0.134
#> 929 0.965 1.972 TRUE 1.007 0.693 1.454 0.146
#> 930 0.869 -0.077 TRUE -0.946 0.528 -1.794 0.073
#> 931 0.353 0.208 TRUE -0.145 0.498 -0.291 0.771
#> 932 0.358 0.091 TRUE -0.267 0.495 -0.540 0.589
#> 933 0.426 0.718 TRUE 0.291 0.528 0.551 0.581
#> 934 -0.155 -0.759 TRUE -0.604 0.504 -1.199 0.231
#> 935 0.768 0.876 TRUE 0.108 0.562 0.192 0.848
#> 936 -0.530 -0.519 TRUE 0.011 0.500 0.021 0.983
#> 937 -0.749 -0.721 TRUE 0.028 0.520 0.054 0.957
#> 938 -0.231 -0.155 TRUE 0.076 0.484 0.158 0.875
#> 939 -1.279 -1.645 TRUE -0.367 0.651 -0.564 0.573
#> 940 0.243 0.142 TRUE -0.101 0.492 -0.205 0.838
#> 941 0.559 0.936 TRUE 0.377 0.553 0.682 0.495
#> 942 0.670 0.744 TRUE 0.075 0.544 0.137 0.891
#> 943 0.261 -0.270 TRUE -0.531 0.491 -1.083 0.279
#> 944 0.843 0.495 TRUE -0.348 0.542 -0.642 0.521
#> 945 0.042 0.335 TRUE 0.293 0.493 0.593 0.553
#> 946 0.263 0.241 TRUE -0.022 0.495 -0.045 0.964
#> 947 0.355 -0.018 TRUE -0.373 0.494 -0.755 0.45
#> 948 0.052 0.581 TRUE 0.529 0.507 1.043 0.297
#> 949 -1.795 -1.470 TRUE 0.325 0.689 0.472 0.637
#> 950 -0.394 0.473 TRUE 0.867 0.503 1.724 0.085
#> 951 -0.390 -0.468 TRUE -0.078 0.493 -0.159 0.874
#> 952 0.982 0.348 TRUE -0.633 0.547 -1.158 0.247
#> 953 -0.554 -1.070 TRUE -0.516 0.537 -0.961 0.337
#> 954 -1.586 -0.702 TRUE 0.884 0.602 1.470 0.142
#> 955 -0.619 -0.916 TRUE -0.297 0.527 -0.564 0.573
#> 956 -1.292 -1.290 TRUE 0.002 0.611 0.004 0.997
#> 957 -0.987 -0.726 TRUE 0.261 0.538 0.484 0.628
#> 958 -0.629 -0.651 TRUE -0.023 0.510 -0.044 0.965
#> 959 0.723 1.451 TRUE 0.728 0.615 1.183 0.237
#> 960 -0.701 -0.579 TRUE 0.122 0.510 0.239 0.811
#> 961 -1.264 -1.638 TRUE -0.374 0.648 -0.577 0.564
#> 962 0.443 0.162 TRUE -0.281 0.501 -0.560 0.576
#> 963 -0.730 -1.011 TRUE -0.280 0.540 -0.519 0.603
#> 964 1.458 0.276 TRUE -1.182 0.594 -1.988 0.047
#> 965 -0.922 -0.508 TRUE 0.414 0.522 0.793 0.428
#> 966 0.580 1.124 TRUE 0.544 0.572 0.951 0.341
#> 967 1.076 1.167 TRUE 0.091 0.613 0.149 0.882
#> 968 0.439 -0.218 TRUE -0.657 0.498 -1.320 0.187
#> 969 0.935 0.495 TRUE -0.440 0.549 -0.801 0.423
#> 970 0.737 1.210 TRUE 0.473 0.590 0.801 0.423
#> 971 -0.743 -0.472 TRUE 0.271 0.509 0.534 0.594
#> 972 1.208 1.205 TRUE -0.003 0.628 -0.004 0.996
#> 973 -1.259 -1.821 TRUE -0.562 0.672 -0.836 0.403
#> 974 -0.829 -0.870 TRUE -0.042 0.535 -0.078 0.938
#> 975 -0.389 -1.197 TRUE -0.809 0.544 -1.487 0.137
#> 976 0.547 0.480 TRUE -0.067 0.520 -0.129 0.897
#> 977 -0.060 0.378 TRUE 0.438 0.494 0.886 0.375
#> 978 -1.503 -0.950 TRUE 0.553 0.606 0.913 0.361
#> 979 -1.418 -0.196 TRUE 1.222 0.566 2.159 0.031
#> 980 -0.032 -0.002 TRUE 0.030 0.484 0.062 0.951
#> 981 -0.993 -1.649 TRUE -0.656 0.627 -1.046 0.295
#> 982 -0.526 -1.183 TRUE -0.657 0.547 -1.202 0.229
#> 983 1.334 0.407 TRUE -0.928 0.585 -1.585 0.113
#> 984 1.506 1.064 TRUE -0.443 0.646 -0.685 0.494
#> 985 1.254 0.239 TRUE -1.015 0.570 -1.779 0.075
#> 986 -0.725 -1.319 TRUE -0.594 0.570 -1.042 0.297
#> 987 0.685 0.698 TRUE 0.013 0.542 0.024 0.981
#> 988 0.141 -0.361 TRUE -0.502 0.489 -1.027 0.304
#> 989 -1.366 0.469 TRUE 1.835 0.573 3.201 0.001
#> 990 -0.193 0.204 TRUE 0.397 0.488 0.814 0.416
#> 991 0.140 -0.560 TRUE -0.700 0.496 -1.413 0.158
#> 992 0.246 0.044 TRUE -0.202 0.490 -0.411 0.681
#> 993 -0.439 -0.614 TRUE -0.176 0.500 -0.351 0.726
#> 994 -1.649 -1.018 TRUE 0.631 0.629 1.003 0.316
#> 995 0.107 -0.521 TRUE -0.628 0.493 -1.273 0.203
#> 996 -0.003 -0.821 TRUE -0.818 0.508 -1.611 0.107
#> 997 -0.394 -0.621 TRUE -0.227 0.499 -0.454 0.65
#> 998 0.065 0.413 TRUE 0.348 0.497 0.699 0.485
#> 999 0.198 -0.517 TRUE -0.715 0.495 -1.443 0.149
#> 1000 -1.854 -1.519 TRUE 0.335 0.702 0.477 0.633
# reported all expected change estimates in the original test-score metric
RCI(mod, predat=dat_pre, postdat=dat_post, expected.scores=TRUE)
#> pre.score post.score converged diff SE z p
#> 1 16.968 17.519 TRUE 0.551 1.634 0.337 0.736
#> 2 16.161 9.208 TRUE -6.954 2.389 -2.620 0.009
#> 3 14.651 9.031 TRUE -5.620 2.529 -2.073 0.038
#> 4 11.579 11.033 TRUE -0.546 2.702 -0.202 0.84
#> 5 4.803 5.091 TRUE 0.288 2.366 0.122 0.903
#> 6 5.587 8.192 TRUE 2.606 2.610 0.983 0.326
#> 7 10.747 7.265 TRUE -3.482 2.706 -1.253 0.21
#> 8 10.524 14.997 TRUE 4.473 2.490 1.721 0.085
#> 9 3.346 3.387 TRUE 0.041 1.988 0.020 0.984
#> 10 4.916 7.535 TRUE 2.619 2.534 1.016 0.31
#> 11 2.047 5.694 TRUE 3.647 2.059 1.705 0.088
#> 12 15.708 13.944 TRUE -1.764 2.231 -0.786 0.432
#> 13 11.788 10.110 TRUE -1.678 2.713 -0.615 0.539
#> 14 11.026 9.705 TRUE -1.321 2.743 -0.480 0.631
#> 15 16.240 16.499 TRUE 0.259 1.889 0.137 0.891
#> 16 2.074 3.989 TRUE 1.915 1.865 1.018 0.309
#> 17 10.689 8.231 TRUE -2.458 2.738 -0.886 0.376
#> 18 10.997 11.142 TRUE 0.146 2.719 0.054 0.957
#> 19 15.115 12.203 TRUE -2.911 2.415 -1.185 0.236
#> 20 14.462 10.105 TRUE -4.357 2.543 -1.644 0.1
#> 21 6.945 6.434 TRUE -0.510 2.620 -0.195 0.846
#> 22 7.788 11.976 TRUE 4.188 2.682 1.503 0.133
#> 23 2.990 4.778 TRUE 1.789 2.114 0.838 0.402
#> 24 5.848 7.107 TRUE 1.259 2.590 0.484 0.628
#> 25 13.990 14.503 TRUE 0.514 2.345 0.219 0.827
#> 26 8.709 7.068 TRUE -1.641 2.707 -0.603 0.547
#> 27 15.730 15.625 TRUE -0.105 2.058 -0.051 0.959
#> 28 4.644 9.300 TRUE 4.656 2.546 1.736 0.083
#> 29 13.423 14.844 TRUE 1.421 2.359 0.600 0.549
#> 30 4.503 6.813 TRUE 2.310 2.462 0.925 0.355
#> 31 3.003 1.588 TRUE -1.414 1.604 -0.883 0.377
#> 32 8.987 6.371 TRUE -2.616 2.675 -0.963 0.335
#> 33 18.018 18.018 TRUE 0.000 1.355 0.000 1
#> 34 8.436 6.862 TRUE -1.574 2.693 -0.581 0.561
#> 35 3.780 4.678 TRUE 0.898 2.211 0.405 0.685
#> 36 13.950 15.243 TRUE 1.292 2.278 0.565 0.572
#> 37 8.451 9.123 TRUE 0.671 2.755 0.243 0.808
#> 38 15.095 13.027 TRUE -2.068 2.365 -0.867 0.386
#> 39 9.766 12.503 TRUE 2.737 2.681 1.004 0.315
#> 40 16.913 16.761 TRUE -0.152 1.759 -0.086 0.931
#> 41 11.306 9.147 TRUE -2.159 2.734 -0.782 0.434
#> 42 10.806 8.285 TRUE -2.522 2.737 -0.909 0.363
#> 43 8.257 7.770 TRUE -0.488 2.726 -0.179 0.858
#> 44 9.799 10.219 TRUE 0.420 2.760 0.152 0.879
#> 45 7.590 8.982 TRUE 1.392 2.731 0.507 0.612
#> 46 7.832 9.092 TRUE 1.259 2.740 0.458 0.647
#> 47 6.827 8.969 TRUE 2.142 2.699 0.786 0.432
#> 48 6.267 7.935 TRUE 1.669 2.648 0.626 0.531
#> 49 6.345 8.716 TRUE 2.371 2.670 0.877 0.381
#> 50 7.682 10.472 TRUE 2.790 2.727 1.006 0.314
#> 51 13.447 15.872 TRUE 2.426 2.255 1.063 0.288
#> 52 6.550 7.182 TRUE 0.632 2.637 0.239 0.811
#> 53 17.523 13.490 TRUE -4.033 2.057 -1.906 0.057
#> 54 6.526 10.649 TRUE 4.123 2.673 1.486 0.137
#> 55 9.053 8.994 TRUE -0.059 2.762 -0.022 0.983
#> 56 7.627 8.082 TRUE 0.455 2.717 0.167 0.867
#> 57 8.484 6.546 TRUE -1.939 2.678 -0.718 0.473
#> 58 4.628 3.662 TRUE -0.966 2.191 -0.440 0.66
#> 59 10.407 8.638 TRUE -1.768 2.751 -0.638 0.523
#> 60 13.915 13.488 TRUE -0.426 2.435 -0.175 0.861
#> 61 12.490 12.221 TRUE -0.269 2.612 -0.103 0.918
#> 62 15.049 13.612 TRUE -1.437 2.325 -0.616 0.538
#> 63 12.196 12.536 TRUE 0.340 2.611 0.130 0.896
#> 64 5.281 5.252 TRUE -0.030 2.425 -0.012 0.99
#> 65 5.268 5.085 TRUE -0.182 2.409 -0.076 0.94
#> 66 5.282 4.189 TRUE -1.093 2.319 -0.470 0.639
#> 67 16.968 13.962 TRUE -3.006 2.085 -1.419 0.156
#> 68 9.116 7.380 TRUE -1.736 2.725 -0.633 0.527
#> 69 10.933 9.628 TRUE -1.305 2.746 -0.473 0.636
#> 70 17.523 16.343 TRUE -1.180 1.728 -0.682 0.495
#> 71 9.018 5.865 TRUE -3.152 2.643 -1.166 0.244
#> 72 15.809 14.528 TRUE -1.281 2.166 -0.590 0.555
#> 73 9.659 9.908 TRUE 0.249 2.764 0.090 0.928
#> 74 10.776 11.461 TRUE 0.686 2.714 0.252 0.801
#> 75 13.043 10.138 TRUE -2.905 2.646 -1.078 0.281
#> 76 14.075 13.981 TRUE -0.094 2.383 -0.039 0.969
#> 77 6.087 4.933 TRUE -1.154 2.458 -0.468 0.64
#> 78 11.224 10.727 TRUE -0.497 2.723 -0.182 0.855
#> 79 14.216 9.569 TRUE -4.647 2.567 -1.727 0.084
#> 80 11.552 11.023 TRUE -0.529 2.704 -0.195 0.845
#> 81 9.221 8.047 TRUE -1.174 2.747 -0.426 0.67
#> 82 12.598 11.362 TRUE -1.236 2.643 -0.466 0.641
#> 83 11.549 10.527 TRUE -1.022 2.716 -0.375 0.707
#> 84 5.476 2.047 TRUE -3.429 2.038 -1.627 0.104
#> 85 7.084 9.113 TRUE 2.028 2.712 0.741 0.459
#> 86 6.796 10.780 TRUE 3.984 2.684 1.434 0.152
#> 87 4.293 6.861 TRUE 2.568 2.443 1.033 0.302
#> 88 8.750 10.455 TRUE 1.704 2.752 0.615 0.538
#> 89 8.197 9.503 TRUE 1.306 2.751 0.473 0.636
#> 90 11.947 10.851 TRUE -1.096 2.692 -0.406 0.685
#> 91 6.381 2.605 TRUE -3.777 2.201 -1.646 0.1
#> 92 6.222 7.392 TRUE 1.170 2.627 0.444 0.657
#> 93 3.713 5.157 TRUE 1.444 2.251 0.638 0.524
#> 94 11.002 12.622 TRUE 1.619 2.653 0.607 0.544
#> 95 16.809 15.136 TRUE -1.672 1.983 -0.840 0.401
#> 96 8.964 7.127 TRUE -1.838 2.713 -0.672 0.501
#> 97 7.680 10.500 TRUE 2.820 2.727 1.017 0.309
#> 98 6.976 7.287 TRUE 0.311 2.664 0.117 0.907
#> 99 11.394 10.435 TRUE -0.960 2.723 -0.352 0.725
#> 100 9.247 9.267 TRUE 0.020 2.765 0.007 0.994
#> 101 5.659 5.607 TRUE -0.052 2.484 -0.021 0.983
#> 102 14.401 15.141 TRUE 0.739 2.248 0.329 0.743
#> 103 9.293 9.148 TRUE -0.145 2.765 -0.053 0.958
#> 104 7.824 14.576 TRUE 6.752 2.510 2.431 0.015
#> 105 2.581 3.122 TRUE 0.541 1.821 0.297 0.767
#> 106 7.333 9.413 TRUE 2.079 2.724 0.756 0.45
#> 107 11.535 11.358 TRUE -0.177 2.694 -0.066 0.947
#> 108 2.581 2.942 TRUE 0.360 1.790 0.201 0.841
#> 109 12.936 12.254 TRUE -0.681 2.584 -0.263 0.792
#> 110 7.078 4.851 TRUE -2.226 2.509 -0.876 0.381
#> 111 13.799 9.219 TRUE -4.580 2.598 -1.683 0.092
#> 112 5.552 5.442 TRUE -0.109 2.463 -0.044 0.965
#> 113 14.814 16.824 TRUE 2.010 2.016 0.990 0.322
#> 114 2.972 1.588 TRUE -1.383 1.598 -0.867 0.386
#> 115 8.805 12.380 TRUE 3.575 2.685 1.295 0.195
#> 116 14.014 13.893 TRUE -0.121 2.395 -0.051 0.96
#> 117 8.732 7.439 TRUE -1.292 2.723 -0.473 0.636
#> 118 6.130 5.170 TRUE -0.960 2.482 -0.386 0.7
#> 119 12.493 9.622 TRUE -2.871 2.683 -1.051 0.293
#> 120 7.700 3.907 TRUE -3.792 2.439 -1.497 0.134
#> 121 8.950 12.414 TRUE 3.464 2.685 1.257 0.209
#> 122 3.234 5.841 TRUE 2.607 2.249 1.136 0.256
#> 123 8.293 6.884 TRUE -1.409 2.691 -0.521 0.602
#> 124 3.091 5.314 TRUE 2.223 2.184 1.003 0.316
#> 125 11.806 11.311 TRUE -0.496 2.684 -0.185 0.854
#> 126 15.631 17.523 TRUE 1.893 1.824 1.033 0.302
#> 127 13.106 13.892 TRUE 0.786 2.464 0.318 0.75
#> 128 13.354 13.728 TRUE 0.373 2.460 0.152 0.879
#> 129 13.488 13.656 TRUE 0.168 2.455 0.069 0.945
#> 130 8.094 13.251 TRUE 5.157 2.619 1.857 0.063
#> 131 11.394 9.942 TRUE -1.453 2.730 -0.530 0.596
#> 132 4.170 3.763 TRUE -0.407 2.151 -0.189 0.85
#> 133 14.558 14.256 TRUE -0.302 2.317 -0.130 0.896
#> 134 16.952 17.489 TRUE 0.537 1.642 0.327 0.743
#> 135 2.963 4.857 TRUE 1.893 2.119 0.884 0.377
#> 136 12.024 9.337 TRUE -2.687 2.706 -0.978 0.328
#> 137 12.240 12.459 TRUE 0.220 2.613 0.084 0.933
#> 138 7.249 4.394 TRUE -2.855 2.473 -1.131 0.258
#> 139 13.134 10.289 TRUE -2.845 2.638 -1.059 0.289
#> 140 8.445 5.352 TRUE -3.093 2.597 -1.164 0.244
#> 141 16.813 16.234 TRUE -0.580 1.847 -0.314 0.754
#> 142 14.250 14.107 TRUE -0.143 2.358 -0.061 0.952
#> 143 7.236 9.568 TRUE 2.332 2.720 0.847 0.397
#> 144 13.294 9.151 TRUE -4.143 2.633 -1.515 0.13
#> 145 3.211 4.837 TRUE 1.626 2.153 0.749 0.454
#> 146 2.347 2.849 TRUE 0.502 1.730 0.290 0.772
#> 147 5.351 6.676 TRUE 1.325 2.531 0.521 0.602
#> 148 8.298 7.894 TRUE -0.404 2.730 -0.148 0.882
#> 149 12.655 14.358 TRUE 1.703 2.456 0.689 0.491
#> 150 8.898 8.976 TRUE 0.078 2.761 0.028 0.977
#> 151 7.408 8.109 TRUE 0.701 2.709 0.258 0.796
#> 152 2.912 2.047 TRUE -0.865 1.682 -0.514 0.607
#> 153 4.208 3.830 TRUE -0.378 2.164 -0.175 0.861
#> 154 6.682 4.998 TRUE -1.684 2.501 -0.669 0.504
#> 155 15.317 12.695 TRUE -2.622 2.366 -1.093 0.275
#> 156 8.765 11.586 TRUE 2.820 2.720 1.019 0.308
#> 157 14.107 16.163 TRUE 2.057 2.166 0.942 0.346
#> 158 9.256 5.463 TRUE -3.793 2.616 -1.403 0.161
#> 159 8.353 9.373 TRUE 1.020 2.754 0.370 0.712
#> 160 16.374 11.003 TRUE -5.371 2.343 -2.159 0.031
#> 161 13.525 7.393 TRUE -6.131 2.577 -2.189 0.029
#> 162 7.536 8.463 TRUE 0.927 2.722 0.340 0.734
#> 163 3.781 5.344 TRUE 1.563 2.277 0.681 0.496
#> 164 15.635 7.657 TRUE -7.978 2.408 -2.875 0.004
#> 165 9.723 7.864 TRUE -1.859 2.742 -0.673 0.501
#> 166 7.475 8.267 TRUE 0.793 2.716 0.291 0.771
#> 167 15.089 14.941 TRUE -0.148 2.201 -0.067 0.947
#> 168 14.977 16.913 TRUE 1.936 1.987 0.968 0.333
#> 169 3.840 3.360 TRUE -0.480 2.054 -0.233 0.815
#> 170 2.047 2.581 TRUE 0.535 1.618 0.331 0.741
#> 171 3.097 1.588 TRUE -1.509 1.622 -0.931 0.352
#> 172 18.018 14.880 TRUE -3.138 1.844 -1.683 0.092
#> 173 10.200 12.022 TRUE 1.822 2.701 0.670 0.503
#> 174 8.888 3.915 TRUE -4.973 2.469 -1.893 0.058
#> 175 5.584 14.741 TRUE 9.157 2.368 3.187 0.001
#> 176 8.153 6.909 TRUE -1.244 2.689 -0.461 0.645
#> 177 14.083 15.067 TRUE 0.983 2.284 0.430 0.667
#> 178 2.564 5.070 TRUE 2.506 2.081 1.182 0.237
#> 179 16.874 18.018 TRUE 1.144 1.564 0.732 0.464
#> 180 9.646 7.954 TRUE -1.691 2.745 -0.613 0.54
#> 181 6.357 6.110 TRUE -0.247 2.568 -0.096 0.923
#> 182 3.748 5.553 TRUE 1.805 2.291 0.781 0.435
#> 183 10.001 7.146 TRUE -2.854 2.714 -1.033 0.301
#> 184 7.921 10.007 TRUE 2.086 2.741 0.754 0.451
#> 185 5.636 4.078 TRUE -1.558 2.337 -0.662 0.508
#> 186 6.885 4.971 TRUE -1.914 2.510 -0.756 0.45
#> 187 7.625 4.333 TRUE -3.292 2.482 -1.290 0.197
#> 188 9.498 9.115 TRUE -0.383 2.765 -0.139 0.89
#> 189 15.860 12.513 TRUE -3.347 2.323 -1.408 0.159
#> 190 3.569 4.202 TRUE 0.633 2.130 0.297 0.767
#> 191 14.141 14.979 TRUE 0.838 2.287 0.366 0.714
#> 192 6.901 9.545 TRUE 2.644 2.705 0.962 0.336
#> 193 9.817 12.127 TRUE 2.311 2.700 0.846 0.398
#> 194 3.097 6.521 TRUE 3.424 2.280 1.452 0.146
#> 195 4.502 3.275 TRUE -1.227 2.124 -0.575 0.565
#> 196 11.458 8.497 TRUE -2.961 2.721 -1.068 0.286
#> 197 5.958 2.605 TRUE -3.353 2.169 -1.495 0.135
#> 198 5.278 2.564 TRUE -2.714 2.102 -1.263 0.206
#> 199 16.012 16.221 TRUE 0.209 1.953 0.107 0.915
#> 200 5.512 3.817 TRUE -1.695 2.296 -0.732 0.464
#> 201 12.378 12.124 TRUE -0.253 2.623 -0.096 0.923
#> 202 14.034 11.863 TRUE -2.171 2.525 -0.851 0.395
#> 203 3.234 3.295 TRUE 0.061 1.957 0.031 0.975
#> 204 10.357 9.598 TRUE -0.759 2.759 -0.275 0.783
#> 205 9.773 10.009 TRUE 0.236 2.762 0.085 0.932
#> 206 12.648 11.117 TRUE -1.530 2.648 -0.575 0.565
#> 207 15.936 16.759 TRUE 0.823 1.893 0.434 0.664
#> 208 14.099 14.838 TRUE 0.739 2.305 0.320 0.749
#> 209 16.845 16.952 TRUE 0.107 1.742 0.061 0.951
#> 210 3.003 1.588 TRUE -1.414 1.604 -0.883 0.377
#> 211 9.026 10.692 TRUE 1.666 2.750 0.602 0.547
#> 212 11.394 12.490 TRUE 1.095 2.648 0.413 0.68
#> 213 15.432 13.835 TRUE -1.597 2.269 -0.700 0.484
#> 214 2.801 3.116 TRUE 0.315 1.858 0.170 0.865
#> 215 3.261 4.603 TRUE 1.342 2.134 0.626 0.532
#> 216 13.299 16.343 TRUE 3.044 2.216 1.350 0.177
#> 217 13.833 11.656 TRUE -2.176 2.550 -0.845 0.398
#> 218 3.962 5.307 TRUE 1.344 2.296 0.583 0.56
#> 219 9.161 7.325 TRUE -1.836 2.723 -0.669 0.503
#> 220 1.588 2.091 TRUE 0.503 1.407 0.358 0.72
#> 221 14.035 11.740 TRUE -2.294 2.530 -0.896 0.37
#> 222 3.146 2.527 TRUE -0.619 1.815 -0.341 0.733
#> 223 5.693 9.796 TRUE 4.103 2.632 1.500 0.133
#> 224 8.544 14.452 TRUE 5.909 2.539 2.155 0.031
#> 225 12.150 13.226 TRUE 1.076 2.570 0.418 0.676
#> 226 13.740 12.812 TRUE -0.929 2.495 -0.372 0.71
#> 227 11.418 10.589 TRUE -0.829 2.719 -0.305 0.761
#> 228 9.198 9.163 TRUE -0.035 2.764 -0.013 0.99
#> 229 16.374 14.601 TRUE -1.773 2.094 -0.842 0.4
#> 230 2.739 2.963 TRUE 0.224 1.822 0.123 0.902
#> 231 5.964 8.610 TRUE 2.646 2.645 0.985 0.325
#> 232 10.307 13.917 TRUE 3.610 2.583 1.358 0.174
#> 233 12.220 12.843 TRUE 0.622 2.591 0.240 0.81
#> 234 12.220 16.142 TRUE 3.921 2.312 1.644 0.1
#> 235 12.653 6.757 TRUE -5.896 2.604 -2.097 0.036
#> 236 8.357 7.781 TRUE -0.576 2.728 -0.211 0.833
#> 237 8.080 8.505 TRUE 0.425 2.740 0.155 0.877
#> 238 6.664 11.453 TRUE 4.789 2.656 1.714 0.086
#> 239 9.483 9.123 TRUE -0.361 2.765 -0.130 0.896
#> 240 6.875 11.161 TRUE 4.286 2.677 1.538 0.124
#> 241 16.003 16.845 TRUE 0.842 1.873 0.449 0.653
#> 242 4.613 3.702 TRUE -0.911 2.194 -0.414 0.679
#> 243 2.219 2.564 TRUE 0.345 1.650 0.209 0.834
#> 244 3.549 2.152 TRUE -1.396 1.812 -0.767 0.443
#> 245 5.221 5.657 TRUE 0.436 2.452 0.178 0.859
#> 246 4.778 4.147 TRUE -0.631 2.266 -0.278 0.781
#> 247 15.803 16.379 TRUE 0.575 1.959 0.293 0.769
#> 248 18.018 16.676 TRUE -1.343 1.596 -0.842 0.4
#> 249 8.795 9.154 TRUE 0.359 2.761 0.130 0.897
#> 250 14.015 16.317 TRUE 2.302 2.157 1.057 0.291
#> 251 14.178 12.125 TRUE -2.053 2.501 -0.814 0.416
#> 252 8.724 8.870 TRUE 0.145 2.758 0.053 0.958
#> 253 7.740 9.120 TRUE 1.380 2.737 0.502 0.616
#> 254 11.313 11.814 TRUE 0.501 2.684 0.186 0.852
#> 255 16.751 15.614 TRUE -1.136 1.934 -0.586 0.558
#> 256 9.717 11.788 TRUE 2.070 2.716 0.755 0.45
#> 257 16.548 15.159 TRUE -1.389 2.013 -0.688 0.491
#> 258 9.914 10.927 TRUE 1.013 2.745 0.368 0.713
#> 259 4.703 3.446 TRUE -1.257 2.171 -0.576 0.564
#> 260 11.104 13.246 TRUE 2.142 2.612 0.812 0.417
#> 261 13.497 11.301 TRUE -2.196 2.588 -0.840 0.401
#> 262 13.907 12.607 TRUE -1.300 2.495 -0.519 0.604
#> 263 17.486 16.248 TRUE -1.238 1.747 -0.708 0.479
#> 264 5.312 5.810 TRUE 0.498 2.472 0.201 0.841
#> 265 16.377 16.237 TRUE -0.140 1.905 -0.073 0.942
#> 266 8.870 12.015 TRUE 3.145 2.703 1.138 0.255
#> 267 4.678 6.601 TRUE 1.922 2.467 0.772 0.44
#> 268 14.248 11.956 TRUE -2.292 2.503 -0.905 0.365
#> 269 7.914 7.431 TRUE -0.482 2.705 -0.178 0.859
#> 270 8.351 11.079 TRUE 2.728 2.731 0.983 0.326
#> 271 2.074 2.709 TRUE 0.635 1.649 0.385 0.7
#> 272 7.797 6.337 TRUE -1.461 2.648 -0.549 0.583
#> 273 6.035 6.228 TRUE 0.193 2.555 0.075 0.94
#> 274 16.232 15.216 TRUE -1.016 2.045 -0.496 0.62
#> 275 12.822 11.091 TRUE -1.731 2.639 -0.652 0.515
#> 276 3.149 2.047 TRUE -1.103 1.725 -0.638 0.523
#> 277 8.560 9.420 TRUE 0.861 2.758 0.312 0.755
#> 278 2.595 1.588 TRUE -1.007 1.521 -0.664 0.507
#> 279 11.062 11.511 TRUE 0.449 2.704 0.166 0.868
#> 280 15.393 16.221 TRUE 0.828 2.027 0.408 0.683
#> 281 14.758 15.777 TRUE 1.019 2.146 0.474 0.636
#> 282 13.979 14.838 TRUE 0.859 2.315 0.370 0.711
#> 283 14.877 15.044 TRUE 0.167 2.212 0.076 0.94
#> 284 3.942 2.077 TRUE -1.865 1.858 -0.996 0.319
#> 285 15.393 16.883 TRUE 1.490 1.943 0.764 0.445
#> 286 10.368 7.819 TRUE -2.549 2.733 -0.920 0.358
#> 287 11.938 13.682 TRUE 1.745 2.548 0.680 0.496
#> 288 14.396 16.232 TRUE 1.836 2.131 0.856 0.392
#> 289 16.180 14.406 TRUE -1.774 2.136 -0.826 0.409
#> 290 14.324 12.134 TRUE -2.190 2.488 -0.871 0.384
#> 291 14.280 12.942 TRUE -1.338 2.444 -0.545 0.585
#> 292 10.367 9.902 TRUE -0.464 2.757 -0.168 0.866
#> 293 1.588 3.234 TRUE 1.646 1.648 0.999 0.318
#> 294 11.509 8.501 TRUE -3.007 2.719 -1.084 0.278
#> 295 4.452 7.151 TRUE 2.699 2.474 1.070 0.284
#> 296 15.138 14.000 TRUE -1.138 2.284 -0.497 0.619
#> 297 16.622 15.831 TRUE -0.791 1.924 -0.411 0.681
#> 298 8.549 7.594 TRUE -0.955 2.726 -0.350 0.727
#> 299 16.777 12.406 TRUE -4.371 2.231 -1.887 0.059
#> 300 1.588 2.077 TRUE 0.488 1.403 0.349 0.727
#> 301 4.755 10.368 TRUE 5.613 2.549 2.046 0.041
#> 302 9.502 8.336 TRUE -1.166 2.754 -0.422 0.673
#> 303 5.363 2.654 TRUE -2.708 2.124 -1.248 0.212
#> 304 17.523 16.358 TRUE -1.166 1.726 -0.675 0.5
#> 305 10.599 6.880 TRUE -3.718 2.692 -1.340 0.18
#> 306 13.933 14.888 TRUE 0.955 2.314 0.412 0.681
#> 307 9.618 11.697 TRUE 2.079 2.720 0.757 0.449
#> 308 11.300 9.259 TRUE -2.041 2.735 -0.739 0.46
#> 309 9.241 7.041 TRUE -2.200 2.711 -0.803 0.422
#> 310 8.534 5.836 TRUE -2.698 2.635 -1.007 0.314
#> 311 14.152 14.416 TRUE 0.264 2.339 0.113 0.91
#> 312 14.844 10.717 TRUE -4.126 2.499 -1.592 0.111
#> 313 5.528 4.673 TRUE -0.855 2.392 -0.357 0.721
#> 314 11.320 11.100 TRUE -0.220 2.710 -0.081 0.935
#> 315 7.733 6.692 TRUE -1.041 2.666 -0.389 0.697
#> 316 9.389 10.428 TRUE 1.039 2.757 0.376 0.707
#> 317 7.192 11.416 TRUE 4.224 2.683 1.514 0.13
#> 318 2.160 5.233 TRUE 3.073 2.033 1.471 0.141
#> 319 9.955 9.893 TRUE -0.063 2.762 -0.023 0.982
#> 320 12.428 10.497 TRUE -1.931 2.676 -0.716 0.474
#> 321 12.521 9.751 TRUE -2.770 2.681 -1.016 0.31
#> 322 13.106 8.226 TRUE -4.881 2.632 -1.760 0.078
#> 323 2.219 2.964 TRUE 0.745 1.726 0.431 0.666
#> 324 12.970 13.348 TRUE 0.378 2.514 0.150 0.881
#> 325 12.587 13.205 TRUE 0.618 2.548 0.242 0.808
#> 326 13.479 12.860 TRUE -0.619 2.512 -0.246 0.806
#> 327 6.669 6.376 TRUE -0.293 2.602 -0.113 0.91
#> 328 9.136 11.643 TRUE 2.507 2.722 0.909 0.364
#> 329 12.728 12.876 TRUE 0.148 2.561 0.058 0.954
#> 330 6.315 12.772 TRUE 6.457 2.571 2.288 0.022
#> 331 11.876 13.925 TRUE 2.049 2.533 0.802 0.423
#> 332 8.850 5.300 TRUE -3.550 2.600 -1.326 0.185
#> 333 12.971 11.594 TRUE -1.377 2.612 -0.525 0.6
#> 334 12.817 13.963 TRUE 1.146 2.478 0.461 0.645
#> 335 9.506 11.182 TRUE 1.677 2.739 0.608 0.543
#> 336 9.994 8.318 TRUE -1.676 2.751 -0.606 0.545
#> 337 12.443 12.333 TRUE -0.110 2.609 -0.042 0.966
#> 338 15.106 13.140 TRUE -1.966 2.356 -0.828 0.408
#> 339 5.585 9.422 TRUE 3.837 2.625 1.413 0.158
#> 340 15.993 15.115 TRUE -0.879 2.085 -0.421 0.674
#> 341 12.131 13.638 TRUE 1.506 2.542 0.590 0.555
#> 342 6.520 5.954 TRUE -0.566 2.567 -0.220 0.826
#> 343 4.905 9.649 TRUE 4.744 2.570 1.751 0.08
#> 344 6.113 4.452 TRUE -1.660 2.414 -0.683 0.495
#> 345 5.818 8.278 TRUE 2.460 2.628 0.923 0.356
#> 346 11.987 7.832 TRUE -4.155 2.683 -1.492 0.136
#> 347 10.846 11.797 TRUE 0.951 2.699 0.352 0.725
#> 348 7.387 10.318 TRUE 2.931 2.719 1.058 0.29
#> 349 5.290 6.493 TRUE 1.203 2.515 0.477 0.634
#> 350 11.214 11.562 TRUE 0.348 2.697 0.129 0.897
#> 351 8.362 8.534 TRUE 0.172 2.747 0.063 0.95
#> 352 16.714 14.977 TRUE -1.738 2.012 -0.859 0.39
#> 353 8.370 10.476 TRUE 2.106 2.745 0.760 0.447
#> 354 4.847 3.583 TRUE -1.264 2.204 -0.571 0.568
#> 355 12.057 16.379 TRUE 4.322 2.296 1.813 0.07
#> 356 14.863 13.427 TRUE -1.437 2.357 -0.607 0.544
#> 357 8.730 11.880 TRUE 3.150 2.708 1.139 0.255
#> 358 10.082 6.849 TRUE -3.233 2.699 -1.171 0.242
#> 359 2.047 3.924 TRUE 1.877 1.850 1.007 0.314
#> 360 9.741 11.787 TRUE 2.046 2.716 0.746 0.455
#> 361 5.801 5.573 TRUE -0.228 2.492 -0.091 0.927
#> 362 13.582 14.159 TRUE 0.577 2.408 0.239 0.811
#> 363 9.012 11.837 TRUE 2.825 2.713 1.024 0.306
#> 364 12.860 14.260 TRUE 1.400 2.451 0.569 0.569
#> 365 8.564 4.659 TRUE -3.905 2.540 -1.482 0.138
#> 366 15.615 15.868 TRUE 0.254 2.043 0.124 0.901
#> 367 5.112 2.912 TRUE -2.201 2.138 -1.015 0.31
#> 368 11.835 9.692 TRUE -2.142 2.714 -0.781 0.435
#> 369 3.589 9.475 TRUE 5.886 2.435 2.214 0.027
#> 370 11.453 12.393 TRUE 0.940 2.651 0.354 0.723
#> 371 13.935 16.509 TRUE 2.574 2.143 1.187 0.235
#> 372 8.919 11.546 TRUE 2.627 2.724 0.950 0.342
#> 373 7.196 8.754 TRUE 1.558 2.713 0.571 0.568
#> 374 4.530 6.421 TRUE 1.892 2.442 0.767 0.443
#> 375 10.446 5.241 TRUE -5.205 2.589 -1.889 0.059
#> 376 15.686 14.054 TRUE -1.633 2.223 -0.731 0.465
#> 377 14.957 14.870 TRUE -0.087 2.221 -0.039 0.969
#> 378 12.736 12.343 TRUE -0.393 2.591 -0.152 0.88
#> 379 1.588 3.216 TRUE 1.628 1.644 0.990 0.322
#> 380 6.402 7.372 TRUE 0.970 2.637 0.367 0.714
#> 381 6.258 7.601 TRUE 1.342 2.637 0.507 0.612
#> 382 6.878 6.939 TRUE 0.061 2.643 0.023 0.982
#> 383 6.050 8.709 TRUE 2.659 2.652 0.987 0.324
#> 384 4.254 4.400 TRUE 0.147 2.238 0.065 0.948
#> 385 3.864 4.906 TRUE 1.043 2.246 0.463 0.643
#> 386 2.739 6.253 TRUE 3.514 2.212 1.533 0.125
#> 387 8.540 9.672 TRUE 1.132 2.758 0.409 0.682
#> 388 17.519 13.900 TRUE -3.619 2.020 -1.753 0.08
#> 389 3.952 5.849 TRUE 1.897 2.340 0.803 0.422
#> 390 1.588 2.973 TRUE 1.385 1.598 0.868 0.385
#> 391 15.014 13.460 TRUE -1.554 2.341 -0.661 0.509
#> 392 10.873 4.417 TRUE -6.456 2.505 -2.335 0.02
#> 393 4.667 7.191 TRUE 2.524 2.497 0.995 0.32
#> 394 3.066 2.466 TRUE -0.600 1.790 -0.335 0.738
#> 395 8.067 11.992 TRUE 3.926 2.689 1.412 0.158
#> 396 12.681 11.433 TRUE -1.248 2.636 -0.472 0.637
#> 397 14.411 14.380 TRUE -0.031 2.319 -0.013 0.989
#> 398 2.963 4.923 TRUE 1.960 2.126 0.911 0.362
#> 399 12.572 6.153 TRUE -6.419 2.573 -2.275 0.023
#> 400 14.191 9.271 TRUE -4.921 2.569 -1.817 0.069
#> 401 7.420 8.726 TRUE 1.306 2.722 0.478 0.633
#> 402 4.220 3.284 TRUE -0.936 2.092 -0.446 0.655
#> 403 9.770 10.550 TRUE 0.780 2.754 0.283 0.777
#> 404 16.082 16.237 TRUE 0.155 1.943 0.080 0.936
#> 405 2.047 4.632 TRUE 2.586 1.946 1.306 0.192
#> 406 4.298 3.003 TRUE -1.295 2.060 -0.625 0.532
#> 407 7.600 9.476 TRUE 1.875 2.734 0.681 0.496
#> 408 7.464 10.447 TRUE 2.982 2.720 1.076 0.282
#> 409 11.299 12.565 TRUE 1.267 2.647 0.477 0.634
#> 410 8.681 6.276 TRUE -2.405 2.666 -0.891 0.373
#> 411 8.152 4.534 TRUE -3.617 2.519 -1.390 0.164
#> 412 14.493 10.673 TRUE -3.820 2.530 -1.463 0.143
#> 413 5.526 3.580 TRUE -1.946 2.268 -0.848 0.396
#> 414 15.175 16.201 TRUE 1.025 2.054 0.498 0.618
#> 415 10.358 14.018 TRUE 3.659 2.575 1.380 0.167
#> 416 13.779 11.909 TRUE -1.870 2.542 -0.730 0.465
#> 417 13.397 14.297 TRUE 0.900 2.410 0.373 0.709
#> 418 5.407 6.384 TRUE 0.977 2.518 0.387 0.699
#> 419 5.413 9.660 TRUE 4.247 2.612 1.560 0.119
#> 420 10.654 13.055 TRUE 2.401 2.636 0.899 0.368
#> 421 3.740 2.564 TRUE -1.176 1.915 -0.612 0.54
#> 422 16.240 16.244 TRUE 0.004 1.922 0.002 0.998
#> 423 10.086 11.423 TRUE 1.338 2.727 0.489 0.625
#> 424 14.526 12.492 TRUE -2.034 2.451 -0.823 0.411
#> 425 15.146 8.433 TRUE -6.713 2.477 -2.454 0.014
#> 426 14.106 15.061 TRUE 0.955 2.283 0.418 0.676
#> 427 10.770 7.172 TRUE -3.598 2.701 -1.295 0.195
#> 428 8.407 10.630 TRUE 2.223 2.743 0.802 0.423
#> 429 12.114 12.702 TRUE 0.588 2.605 0.226 0.822
#> 430 8.761 10.374 TRUE 1.613 2.754 0.582 0.56
#> 431 14.860 13.808 TRUE -1.052 2.327 -0.451 0.652
#> 432 2.047 4.256 TRUE 2.210 1.897 1.151 0.25
#> 433 3.952 3.463 TRUE -0.489 2.084 -0.234 0.815
#> 434 11.436 13.929 TRUE 2.493 2.551 0.964 0.335
#> 435 3.107 4.124 TRUE 1.017 2.054 0.494 0.622
#> 436 7.236 10.815 TRUE 3.578 2.703 1.287 0.198
#> 437 3.189 1.588 TRUE -1.601 1.639 -0.977 0.328
#> 438 12.921 13.526 TRUE 0.605 2.504 0.241 0.809
#> 439 16.668 13.202 TRUE -3.466 2.187 -1.549 0.121
#> 440 6.602 11.985 TRUE 5.383 2.630 1.920 0.055
#> 441 13.837 12.039 TRUE -1.798 2.532 -0.705 0.481
#> 442 4.326 5.821 TRUE 1.495 2.379 0.625 0.532
#> 443 10.221 9.776 TRUE -0.445 2.760 -0.161 0.872
#> 444 16.777 16.423 TRUE -0.354 1.826 -0.194 0.846
#> 445 16.081 15.555 TRUE -0.526 2.025 -0.260 0.795
#> 446 15.423 15.839 TRUE 0.415 2.069 0.201 0.841
#> 447 1.588 1.588 TRUE 0.000 1.279 0.000 1
#> 448 10.861 9.456 TRUE -1.405 2.748 -0.509 0.611
#> 449 4.546 6.548 TRUE 2.002 2.451 0.808 0.419
#> 450 2.407 4.922 TRUE 2.515 2.040 1.210 0.226
#> 451 17.471 16.655 TRUE -0.816 1.690 -0.483 0.629
#> 452 7.912 5.150 TRUE -2.761 2.567 -1.056 0.291
#> 453 8.476 10.787 TRUE 2.311 2.741 0.833 0.405
#> 454 5.274 9.602 TRUE 4.329 2.601 1.594 0.111
#> 455 16.499 16.111 TRUE -0.388 1.905 -0.204 0.839
#> 456 12.259 10.896 TRUE -1.363 2.676 -0.507 0.612
#> 457 5.599 8.384 TRUE 2.785 2.615 1.046 0.296
#> 458 2.715 5.383 TRUE 2.667 2.136 1.223 0.221
#> 459 2.042 2.712 TRUE 0.669 1.643 0.407 0.684
#> 460 17.396 16.820 TRUE -0.576 1.677 -0.344 0.731
#> 461 14.368 15.843 TRUE 1.476 2.177 0.675 0.5
#> 462 15.967 13.051 TRUE -2.916 2.276 -1.260 0.208
#> 463 12.389 13.764 TRUE 1.375 2.519 0.544 0.587
#> 464 13.616 13.707 TRUE 0.090 2.442 0.037 0.971
#> 465 6.308 9.730 TRUE 3.421 2.673 1.247 0.212
#> 466 8.768 4.788 TRUE -3.980 2.555 -1.500 0.134
#> 467 15.686 14.817 TRUE -0.870 2.150 -0.404 0.686
#> 468 3.735 3.117 TRUE -0.618 2.004 -0.308 0.758
#> 469 2.605 6.871 TRUE 4.266 2.233 1.813 0.07
#> 470 13.624 9.725 TRUE -3.900 2.611 -1.445 0.149
#> 471 4.698 5.024 TRUE 0.326 2.350 0.139 0.89
#> 472 6.652 7.081 TRUE 0.429 2.638 0.163 0.871
#> 473 18.018 17.486 TRUE -0.532 1.458 -0.365 0.715
#> 474 7.176 8.299 TRUE 1.122 2.705 0.414 0.679
#> 475 2.074 2.605 TRUE 0.531 1.628 0.326 0.745
#> 476 14.499 13.021 TRUE -1.477 2.420 -0.608 0.543
#> 477 15.062 10.006 TRUE -5.057 2.492 -1.919 0.055
#> 478 14.840 11.273 TRUE -3.566 2.482 -1.398 0.162
#> 479 11.113 10.131 TRUE -0.981 2.737 -0.358 0.72
#> 480 14.782 14.337 TRUE -0.445 2.289 -0.194 0.846
#> 481 8.115 7.509 TRUE -0.606 2.713 -0.223 0.823
#> 482 14.449 11.978 TRUE -2.471 2.486 -0.981 0.326
#> 483 15.049 15.383 TRUE 0.334 2.159 0.155 0.877
#> 484 11.751 11.534 TRUE -0.217 2.679 -0.081 0.935
#> 485 11.441 10.857 TRUE -0.584 2.712 -0.215 0.83
#> 486 5.150 7.363 TRUE 2.213 2.548 0.858 0.391
#> 487 9.583 12.130 TRUE 2.547 2.701 0.930 0.353
#> 488 11.833 13.294 TRUE 1.461 2.581 0.563 0.573
#> 489 15.533 16.379 TRUE 0.846 1.991 0.424 0.671
#> 490 7.737 7.946 TRUE 0.209 2.717 0.077 0.939
#> 491 17.405 16.913 TRUE -0.492 1.661 -0.296 0.767
#> 492 4.841 5.222 TRUE 0.381 2.382 0.160 0.873
#> 493 17.467 15.276 TRUE -2.191 1.877 -1.160 0.246
#> 494 8.045 9.316 TRUE 1.272 2.747 0.461 0.645
#> 495 10.093 14.502 TRUE 4.409 2.540 1.664 0.096
#> 496 6.036 6.146 TRUE 0.109 2.550 0.043 0.966
#> 497 11.842 7.798 TRUE -4.044 2.688 -1.452 0.147
#> 498 3.648 8.829 TRUE 5.182 2.438 1.984 0.047
#> 499 8.465 8.806 TRUE 0.340 2.753 0.124 0.902
#> 500 7.182 11.156 TRUE 3.973 2.691 1.426 0.154
#> 501 11.948 15.562 TRUE 3.614 2.385 1.474 0.14
#> 502 11.984 9.454 TRUE -2.530 2.708 -0.921 0.357
#> 503 1.588 2.091 TRUE 0.503 1.407 0.358 0.72
#> 504 4.124 5.296 TRUE 1.172 2.313 0.504 0.614
#> 505 4.582 6.265 TRUE 1.684 2.437 0.686 0.493
#> 506 10.835 10.696 TRUE -0.139 2.735 -0.051 0.959
#> 507 16.534 15.686 TRUE -0.847 1.953 -0.433 0.665
#> 508 12.987 13.835 TRUE 0.848 2.477 0.342 0.733
#> 509 5.934 6.833 TRUE 0.899 2.583 0.347 0.728
#> 510 7.788 10.335 TRUE 2.547 2.733 0.919 0.358
#> 511 5.629 10.142 TRUE 4.513 2.624 1.642 0.101
#> 512 7.721 9.854 TRUE 2.133 2.736 0.772 0.44
#> 513 5.286 5.980 TRUE 0.694 2.482 0.279 0.78
#> 514 5.561 8.988 TRUE 3.427 2.621 1.272 0.203
#> 515 9.319 10.967 TRUE 1.648 2.745 0.597 0.551
#> 516 16.292 16.036 TRUE -0.257 1.941 -0.132 0.895
#> 517 13.324 12.505 TRUE -0.819 2.544 -0.321 0.748
#> 518 8.146 14.534 TRUE 6.388 2.523 2.313 0.021
#> 519 12.779 14.054 TRUE 1.275 2.473 0.514 0.607
#> 520 12.716 7.764 TRUE -4.953 2.643 -1.776 0.076
#> 521 13.532 11.611 TRUE -1.921 2.574 -0.741 0.459
#> 522 6.367 2.581 TRUE -3.785 2.197 -1.653 0.098
#> 523 15.936 14.526 TRUE -1.410 2.152 -0.653 0.514
#> 524 12.831 13.297 TRUE 0.467 2.527 0.185 0.854
#> 525 13.575 13.731 TRUE 0.156 2.443 0.064 0.949
#> 526 15.548 12.237 TRUE -3.311 2.371 -1.365 0.172
#> 527 11.987 9.838 TRUE -2.149 2.707 -0.786 0.432
#> 528 14.157 15.555 TRUE 1.398 2.228 0.625 0.532
#> 529 13.059 10.989 TRUE -2.070 2.628 -0.780 0.435
#> 530 10.006 10.405 TRUE 0.399 2.755 0.145 0.885
#> 531 11.037 7.468 TRUE -3.569 2.706 -1.283 0.2
#> 532 18.018 18.018 TRUE 0.000 1.355 0.000 1
#> 533 15.666 12.314 TRUE -3.351 2.355 -1.391 0.164
#> 534 6.933 7.616 TRUE 0.684 2.674 0.255 0.798
#> 535 17.523 16.845 TRUE -0.679 1.653 -0.411 0.681
#> 536 11.736 12.029 TRUE 0.293 2.658 0.110 0.912
#> 537 9.200 6.985 TRUE -2.215 2.708 -0.809 0.419
#> 538 6.097 5.054 TRUE -1.044 2.470 -0.421 0.674
#> 539 8.327 8.086 TRUE -0.242 2.736 -0.088 0.93
#> 540 11.255 11.747 TRUE 0.493 2.689 0.183 0.855
#> 541 4.340 7.233 TRUE 2.893 2.466 1.148 0.251
#> 542 2.942 3.516 TRUE 0.574 1.944 0.295 0.768
#> 543 5.653 5.294 TRUE -0.360 2.458 -0.146 0.884
#> 544 12.040 10.195 TRUE -1.845 2.701 -0.678 0.498
#> 545 5.232 5.866 TRUE 0.634 2.469 0.256 0.798
#> 546 11.321 9.769 TRUE -1.552 2.734 -0.565 0.572
#> 547 13.891 12.150 TRUE -1.741 2.522 -0.686 0.493
#> 548 13.192 14.853 TRUE 1.661 2.376 0.695 0.487
#> 549 12.097 8.931 TRUE -3.166 2.700 -1.147 0.251
#> 550 11.231 11.348 TRUE 0.117 2.705 0.043 0.966
#> 551 7.894 2.960 TRUE -4.935 2.330 -1.981 0.048
#> 552 13.690 13.171 TRUE -0.519 2.476 -0.209 0.834
#> 553 10.673 14.421 TRUE 3.748 2.536 1.434 0.152
#> 554 13.007 12.132 TRUE -0.874 2.585 -0.338 0.736
#> 555 3.189 3.349 TRUE 0.160 1.958 0.082 0.935
#> 556 8.321 11.656 TRUE 3.335 2.710 1.201 0.23
#> 557 9.978 11.919 TRUE 1.941 2.709 0.711 0.477
#> 558 8.323 11.933 TRUE 3.610 2.698 1.300 0.193
#> 559 11.148 11.765 TRUE 0.616 2.691 0.229 0.819
#> 560 17.486 16.824 TRUE -0.662 1.662 -0.398 0.69
#> 561 11.889 11.457 TRUE -0.432 2.675 -0.161 0.872
#> 562 11.726 8.439 TRUE -3.287 2.709 -1.185 0.236
#> 563 3.811 6.245 TRUE 2.434 2.352 1.018 0.309
#> 564 4.452 1.588 TRUE -2.864 1.840 -1.532 0.125
#> 565 13.741 12.589 TRUE -1.152 2.509 -0.458 0.647
#> 566 4.040 4.592 TRUE 0.552 2.234 0.247 0.805
#> 567 16.538 15.338 TRUE -1.200 1.994 -0.600 0.548
#> 568 4.040 3.360 TRUE -0.680 2.080 -0.326 0.744
#> 569 16.283 17.405 TRUE 1.122 1.754 0.639 0.523
#> 570 10.497 8.859 TRUE -1.638 2.753 -0.592 0.554
#> 571 14.657 12.249 TRUE -2.407 2.454 -0.969 0.332
#> 572 9.098 7.479 TRUE -1.618 2.728 -0.590 0.555
#> 573 14.730 16.180 TRUE 1.449 2.103 0.686 0.493
#> 574 7.223 11.532 TRUE 4.309 2.680 1.544 0.123
#> 575 5.845 2.709 TRUE -3.136 2.176 -1.400 0.161
#> 576 10.479 13.741 TRUE 3.261 2.593 1.229 0.219
#> 577 12.421 12.190 TRUE -0.231 2.617 -0.088 0.93
#> 578 16.374 13.224 TRUE -3.150 2.218 -1.393 0.164
#> 579 5.819 9.151 TRUE 3.332 2.641 1.230 0.219
#> 580 11.335 16.300 TRUE 4.965 2.338 2.017 0.044
#> 581 11.221 9.525 TRUE -1.695 2.738 -0.615 0.538
#> 582 6.366 12.153 TRUE 5.788 2.609 2.059 0.039
#> 583 10.428 12.267 TRUE 1.839 2.686 0.680 0.497
#> 584 15.567 16.472 TRUE 0.905 1.976 0.457 0.647
#> 585 8.157 7.089 TRUE -1.068 2.697 -0.395 0.693
#> 586 7.433 9.473 TRUE 2.041 2.728 0.741 0.458
#> 587 11.644 10.912 TRUE -0.732 2.703 -0.270 0.787
#> 588 9.051 8.008 TRUE -1.043 2.745 -0.379 0.705
#> 589 9.202 5.567 TRUE -3.635 2.623 -1.344 0.179
#> 590 13.449 12.895 TRUE -0.554 2.512 -0.220 0.825
#> 591 14.415 13.277 TRUE -1.138 2.409 -0.471 0.637
#> 592 17.405 14.940 TRUE -2.465 1.925 -1.269 0.205
#> 593 6.047 8.449 TRUE 2.402 2.647 0.895 0.371
#> 594 5.019 4.042 TRUE -0.977 2.278 -0.428 0.669
#> 595 4.671 6.315 TRUE 1.644 2.449 0.667 0.505
#> 596 4.442 4.423 TRUE -0.019 2.262 -0.009 0.993
#> 597 5.054 4.677 TRUE -0.376 2.350 -0.160 0.873
#> 598 9.338 5.947 TRUE -3.391 2.651 -1.247 0.213
#> 599 9.219 13.722 TRUE 4.503 2.604 1.654 0.098
#> 600 8.355 11.514 TRUE 3.159 2.716 1.138 0.255
#> 601 9.600 12.454 TRUE 2.854 2.685 1.044 0.296
#> 602 11.180 10.094 TRUE -1.086 2.735 -0.396 0.692
#> 603 13.692 9.754 TRUE -3.938 2.606 -1.461 0.144
#> 604 10.994 11.300 TRUE 0.306 2.714 0.113 0.91
#> 605 3.251 4.671 TRUE 1.420 2.140 0.659 0.51
#> 606 14.496 13.762 TRUE -0.734 2.365 -0.310 0.757
#> 607 2.564 2.047 TRUE -0.517 1.614 -0.320 0.749
#> 608 3.310 2.684 TRUE -0.626 1.870 -0.335 0.738
#> 609 6.192 5.559 TRUE -0.633 2.518 -0.251 0.802
#> 610 14.803 10.179 TRUE -4.625 2.513 -1.757 0.079
#> 611 7.296 6.264 TRUE -1.032 2.626 -0.392 0.695
#> 612 13.696 16.913 TRUE 3.217 2.116 1.492 0.136
#> 613 7.994 13.570 TRUE 5.576 2.594 2.007 0.045
#> 614 16.759 14.555 TRUE -2.204 2.052 -1.065 0.287
#> 615 8.327 5.974 TRUE -2.353 2.640 -0.880 0.379
#> 616 12.024 10.377 TRUE -1.647 2.699 -0.607 0.544
#> 617 5.908 3.453 TRUE -2.455 2.283 -1.057 0.291
#> 618 8.555 7.425 TRUE -1.130 2.720 -0.414 0.679
#> 619 3.799 2.944 TRUE -0.855 1.986 -0.430 0.667
#> 620 7.285 4.319 TRUE -2.966 2.467 -1.175 0.24
#> 621 8.763 10.271 TRUE 1.507 2.755 0.544 0.586
#> 622 15.596 15.577 TRUE -0.019 2.079 -0.009 0.993
#> 623 4.893 3.146 TRUE -1.746 2.149 -0.805 0.421
#> 624 12.860 14.149 TRUE 1.289 2.460 0.522 0.602
#> 625 11.527 10.888 TRUE -0.638 2.708 -0.235 0.814
#> 626 13.627 12.848 TRUE -0.779 2.502 -0.311 0.756
#> 627 4.750 8.274 TRUE 3.525 2.542 1.345 0.179
#> 628 6.615 7.920 TRUE 1.305 2.668 0.487 0.626
#> 629 14.351 9.756 TRUE -4.595 2.555 -1.717 0.086
#> 630 2.973 3.463 TRUE 0.490 1.942 0.252 0.801
#> 631 3.348 3.449 TRUE 0.100 1.997 0.050 0.96
#> 632 8.302 5.868 TRUE -2.433 2.632 -0.912 0.362
#> 633 7.895 4.833 TRUE -3.063 2.539 -1.179 0.239
#> 634 12.412 16.874 TRUE 4.462 2.219 1.934 0.053
#> 635 14.986 14.157 TRUE -0.829 2.285 -0.362 0.717
#> 636 9.512 10.601 TRUE 1.089 2.754 0.394 0.693
#> 637 3.506 3.463 TRUE -0.043 2.023 -0.021 0.983
#> 638 13.575 13.819 TRUE 0.244 2.436 0.100 0.92
#> 639 9.607 6.355 TRUE -3.252 2.676 -1.187 0.235
#> 640 2.654 5.075 TRUE 2.421 2.096 1.136 0.256
#> 641 14.454 16.377 TRUE 1.923 2.108 0.906 0.365
#> 642 4.988 2.564 TRUE -2.425 2.072 -1.150 0.25
#> 643 11.965 12.924 TRUE 0.959 2.599 0.368 0.713
#> 644 9.724 7.239 TRUE -2.485 2.719 -0.902 0.367
#> 645 3.222 4.404 TRUE 1.182 2.105 0.559 0.576
#> 646 4.681 2.564 TRUE -2.117 2.038 -1.025 0.305
#> 647 3.034 6.072 TRUE 3.038 2.240 1.320 0.187
#> 648 10.551 8.523 TRUE -2.028 2.747 -0.732 0.464
#> 649 8.858 9.508 TRUE 0.649 2.762 0.235 0.814
#> 650 16.295 15.695 TRUE -0.599 1.983 -0.302 0.763
#> 651 8.058 10.202 TRUE 2.144 2.743 0.774 0.439
#> 652 8.792 8.888 TRUE 0.097 2.759 0.035 0.972
#> 653 15.980 16.082 TRUE 0.102 1.975 0.052 0.959
#> 654 14.669 12.081 TRUE -2.588 2.461 -1.037 0.3
#> 655 14.333 17.523 TRUE 3.190 1.976 1.589 0.112
#> 656 8.767 14.046 TRUE 5.279 2.575 1.928 0.054
#> 657 12.639 13.280 TRUE 0.641 2.540 0.252 0.801
#> 658 7.316 11.931 TRUE 4.614 2.667 1.651 0.099
#> 659 10.525 11.111 TRUE 0.586 2.731 0.214 0.83
#> 660 12.731 10.421 TRUE -2.310 2.661 -0.858 0.391
#> 661 7.167 7.144 TRUE -0.023 2.666 -0.009 0.993
#> 662 8.242 5.802 TRUE -2.441 2.626 -0.917 0.359
#> 663 7.719 5.513 TRUE -2.206 2.590 -0.842 0.4
#> 664 13.028 9.870 TRUE -3.157 2.650 -1.166 0.244
#> 665 16.163 17.241 TRUE 1.078 1.795 0.600 0.549
#> 666 9.050 6.350 TRUE -2.700 2.674 -0.993 0.321
#> 667 3.415 3.526 TRUE 0.111 2.018 0.055 0.956
#> 668 14.877 11.625 TRUE -3.252 2.465 -1.290 0.197
#> 669 6.966 7.909 TRUE 0.943 2.685 0.351 0.726
#> 670 11.251 12.354 TRUE 1.103 2.660 0.413 0.679
#> 671 13.099 12.782 TRUE -0.317 2.543 -0.125 0.901
#> 672 15.697 18.018 TRUE 2.322 1.740 1.329 0.184
#> 673 13.065 8.945 TRUE -4.120 2.647 -1.500 0.134
#> 674 13.812 15.485 TRUE 1.673 2.265 0.735 0.463
#> 675 7.198 3.146 TRUE -4.051 2.325 -1.664 0.096
#> 676 9.779 6.394 TRUE -3.385 2.677 -1.232 0.218
#> 677 10.459 12.279 TRUE 1.819 2.685 0.673 0.501
#> 678 7.631 8.678 TRUE 1.046 2.729 0.383 0.702
#> 679 4.452 7.558 TRUE 3.106 2.491 1.216 0.224
#> 680 2.993 4.592 TRUE 1.599 2.094 0.758 0.449
#> 681 13.178 9.758 TRUE -3.419 2.641 -1.262 0.207
#> 682 5.067 12.375 TRUE 7.309 2.502 2.583 0.01
#> 683 4.929 5.821 TRUE 0.892 2.439 0.365 0.715
#> 684 9.016 7.348 TRUE -1.667 2.723 -0.609 0.543
#> 685 12.961 11.761 TRUE -1.200 2.606 -0.459 0.646
#> 686 16.300 17.467 TRUE 1.167 1.743 0.669 0.503
#> 687 10.385 12.064 TRUE 1.680 2.697 0.619 0.536
#> 688 5.202 10.361 TRUE 5.159 2.588 1.875 0.061
#> 689 6.423 4.559 TRUE -1.865 2.445 -0.756 0.45
#> 690 4.138 5.782 TRUE 1.644 2.356 0.693 0.488
#> 691 11.600 13.664 TRUE 2.064 2.565 0.798 0.425
#> 692 6.557 2.715 TRUE -3.841 2.229 -1.651 0.099
#> 693 7.761 10.160 TRUE 2.399 2.735 0.867 0.386
#> 694 12.469 10.435 TRUE -2.034 2.675 -0.754 0.451
#> 695 12.294 14.913 TRUE 2.619 2.428 1.063 0.288
#> 696 14.823 14.955 TRUE 0.132 2.226 0.059 0.953
#> 697 15.477 12.024 TRUE -3.453 2.390 -1.410 0.159
#> 698 3.354 3.371 TRUE 0.017 1.987 0.009 0.993
#> 699 10.576 14.402 TRUE 3.826 2.540 1.459 0.144
#> 700 11.665 14.260 TRUE 2.595 2.516 1.017 0.309
#> 701 3.794 3.709 TRUE -0.084 2.097 -0.040 0.968
#> 702 18.018 18.018 TRUE 0.000 1.355 0.000 1
#> 703 7.028 10.193 TRUE 3.165 2.706 1.144 0.252
#> 704 8.486 13.439 TRUE 4.953 2.615 1.794 0.073
#> 705 6.055 6.451 TRUE 0.396 2.570 0.154 0.877
#> 706 2.919 3.559 TRUE 0.641 1.947 0.329 0.742
#> 707 13.372 15.488 TRUE 2.116 2.301 0.912 0.362
#> 708 5.797 7.038 TRUE 1.241 2.583 0.479 0.632
#> 709 8.479 8.210 TRUE -0.269 2.742 -0.098 0.922
#> 710 14.597 16.810 TRUE 2.212 2.041 1.075 0.282
#> 711 3.399 2.407 TRUE -0.992 1.835 -0.539 0.59
#> 712 6.176 5.331 TRUE -0.845 2.499 -0.338 0.736
#> 713 5.696 4.507 TRUE -1.189 2.388 -0.496 0.62
#> 714 14.782 15.485 TRUE 0.703 2.176 0.323 0.747
#> 715 11.906 10.828 TRUE -1.078 2.694 -0.399 0.69
#> 716 8.628 5.818 TRUE -2.810 2.635 -1.047 0.295
#> 717 5.042 2.805 TRUE -2.237 2.115 -1.042 0.297
#> 718 3.512 4.880 TRUE 1.368 2.198 0.619 0.536
#> 719 3.087 6.980 TRUE 3.893 2.306 1.618 0.106
#> 720 4.320 6.052 TRUE 1.732 2.396 0.717 0.473
#> 721 10.547 11.786 TRUE 1.238 2.706 0.456 0.648
#> 722 15.346 13.113 TRUE -2.234 2.334 -0.947 0.344
#> 723 3.463 2.709 TRUE -0.754 1.898 -0.397 0.692
#> 724 11.835 8.647 TRUE -3.188 2.708 -1.151 0.25
#> 725 15.802 14.492 TRUE -1.310 2.170 -0.602 0.547
#> 726 7.708 8.336 TRUE 0.629 2.725 0.230 0.818
#> 727 8.537 9.503 TRUE 0.965 2.758 0.349 0.727
#> 728 15.341 12.416 TRUE -2.926 2.381 -1.207 0.227
#> 729 11.426 14.408 TRUE 2.982 2.513 1.164 0.244
#> 730 4.894 8.232 TRUE 3.339 2.554 1.272 0.203
#> 731 6.082 5.738 TRUE -0.343 2.524 -0.136 0.892
#> 732 4.696 3.702 TRUE -0.994 2.203 -0.450 0.653
#> 733 8.432 6.014 TRUE -2.418 2.645 -0.902 0.367
#> 734 16.754 17.523 TRUE 0.769 1.667 0.461 0.645
#> 735 10.182 10.526 TRUE 0.344 2.751 0.125 0.9
#> 736 10.438 12.201 TRUE 1.763 2.689 0.651 0.515
#> 737 16.829 18.018 TRUE 1.190 1.572 0.758 0.449
#> 738 11.413 6.082 TRUE -5.331 2.623 -1.907 0.056
#> 739 16.111 15.707 TRUE -0.405 2.004 -0.202 0.84
#> 740 3.966 5.272 TRUE 1.306 2.293 0.567 0.571
#> 741 15.186 14.070 TRUE -1.117 2.273 -0.490 0.624
#> 742 8.831 9.092 TRUE 0.261 2.761 0.094 0.925
#> 743 9.145 6.173 TRUE -2.972 2.664 -1.094 0.274
#> 744 15.627 12.032 TRUE -3.595 2.375 -1.474 0.14
#> 745 13.913 13.044 TRUE -0.869 2.467 -0.352 0.725
#> 746 7.618 6.334 TRUE -1.283 2.642 -0.484 0.628
#> 747 4.867 9.597 TRUE 4.730 2.567 1.748 0.08
#> 748 3.676 2.457 TRUE -1.219 1.887 -0.644 0.52
#> 749 5.531 7.485 TRUE 1.953 2.583 0.749 0.454
#> 750 16.107 12.789 TRUE -3.319 2.279 -1.424 0.154
#> 751 14.950 14.599 TRUE -0.351 2.248 -0.156 0.876
#> 752 5.239 6.329 TRUE 1.091 2.501 0.435 0.664
#> 753 10.200 11.928 TRUE 1.729 2.706 0.635 0.526
#> 754 15.555 12.831 TRUE -2.724 2.334 -1.150 0.25
#> 755 12.112 11.977 TRUE -0.135 2.643 -0.051 0.959
#> 756 12.487 13.374 TRUE 0.887 2.542 0.348 0.728
#> 757 13.936 9.603 TRUE -4.333 2.588 -1.607 0.108
#> 758 11.183 13.978 TRUE 2.795 2.557 1.075 0.282
#> 759 2.457 1.588 TRUE -0.869 1.491 -0.584 0.559
#> 760 12.832 15.887 TRUE 3.055 2.300 1.304 0.192
#> 761 16.136 17.467 TRUE 1.330 1.765 0.752 0.452
#> 762 4.484 4.309 TRUE -0.175 2.254 -0.078 0.938
#> 763 10.395 7.057 TRUE -3.337 2.704 -1.205 0.228
#> 764 14.919 14.240 TRUE -0.679 2.285 -0.297 0.766
#> 765 10.131 11.578 TRUE 1.448 2.721 0.530 0.596
#> 766 3.240 2.610 TRUE -0.630 1.846 -0.341 0.733
#> 767 14.834 14.642 TRUE -0.192 2.256 -0.085 0.932
#> 768 14.123 12.470 TRUE -1.652 2.486 -0.661 0.509
#> 769 14.855 13.514 TRUE -1.341 2.351 -0.568 0.57
#> 770 7.194 3.717 TRUE -3.478 2.396 -1.405 0.16
#> 771 7.445 3.941 TRUE -3.504 2.433 -1.394 0.163
#> 772 14.567 13.903 TRUE -0.664 2.347 -0.283 0.778
#> 773 10.744 11.540 TRUE 0.795 2.712 0.293 0.77
#> 774 2.709 2.074 TRUE -0.635 1.649 -0.385 0.7
#> 775 3.583 6.532 TRUE 2.949 2.343 1.228 0.219
#> 776 15.127 15.539 TRUE 0.412 2.134 0.193 0.847
#> 777 13.704 8.699 TRUE -5.006 2.600 -1.822 0.068
#> 778 13.900 13.949 TRUE 0.049 2.400 0.020 0.984
#> 779 14.033 12.932 TRUE -1.101 2.465 -0.446 0.656
#> 780 13.121 9.963 TRUE -3.158 2.643 -1.169 0.242
#> 781 13.498 10.851 TRUE -2.647 2.602 -1.002 0.316
#> 782 5.530 12.915 TRUE 7.385 2.508 2.601 0.009
#> 783 11.391 12.173 TRUE 0.782 2.665 0.293 0.769
#> 784 7.495 8.512 TRUE 1.017 2.721 0.373 0.709
#> 785 16.312 15.355 TRUE -0.956 2.020 -0.473 0.636
#> 786 10.968 10.147 TRUE -0.821 2.741 -0.299 0.765
#> 787 12.110 10.691 TRUE -1.419 2.688 -0.525 0.599
#> 788 6.876 8.803 TRUE 1.927 2.700 0.708 0.479
#> 789 3.126 2.610 TRUE -0.516 1.827 -0.282 0.778
#> 790 2.347 3.565 TRUE 1.218 1.851 0.656 0.512
#> 791 3.449 8.269 TRUE 4.820 2.403 1.887 0.059
#> 792 14.239 14.976 TRUE 0.737 2.279 0.323 0.747
#> 793 4.718 7.262 TRUE 2.543 2.505 0.999 0.318
#> 794 14.117 15.863 TRUE 1.746 2.199 0.789 0.43
#> 795 14.853 12.793 TRUE -2.059 2.403 -0.849 0.396
#> 796 8.052 7.230 TRUE -0.822 2.701 -0.304 0.761
#> 797 6.774 4.213 TRUE -2.561 2.430 -1.036 0.3
#> 798 6.783 6.538 TRUE -0.245 2.618 -0.094 0.925
#> 799 10.550 9.187 TRUE -1.363 2.754 -0.493 0.622
#> 800 9.006 11.131 TRUE 2.125 2.739 0.768 0.442
#> 801 6.400 3.620 TRUE -2.781 2.340 -1.163 0.245
#> 802 7.517 3.066 TRUE -4.451 2.330 -1.809 0.07
#> 803 9.054 9.200 TRUE 0.145 2.764 0.053 0.958
#> 804 15.901 13.941 TRUE -1.960 2.210 -0.880 0.379
#> 805 6.568 7.575 TRUE 1.007 2.654 0.379 0.705
#> 806 13.776 12.915 TRUE -0.862 2.486 -0.346 0.729
#> 807 5.990 12.072 TRUE 6.083 2.589 2.163 0.031
#> 808 6.760 8.490 TRUE 1.730 2.689 0.639 0.523
#> 809 16.377 16.090 TRUE -0.287 1.924 -0.149 0.882
#> 810 3.354 6.254 TRUE 2.900 2.296 1.233 0.218
#> 811 14.936 16.388 TRUE 1.452 2.057 0.703 0.482
#> 812 10.197 10.430 TRUE 0.233 2.753 0.085 0.933
#> 813 7.473 2.564 TRUE -4.909 2.258 -2.031 0.042
#> 814 12.274 13.197 TRUE 0.923 2.566 0.359 0.72
#> 815 8.080 9.570 TRUE 1.491 2.748 0.540 0.589
#> 816 8.333 7.361 TRUE -0.972 2.713 -0.358 0.721
#> 817 14.958 6.024 TRUE -8.934 2.382 -3.125 0.002
#> 818 10.508 10.961 TRUE 0.453 2.736 0.165 0.869
#> 819 9.404 13.373 TRUE 3.969 2.629 1.459 0.145
#> 820 6.736 5.406 TRUE -1.330 2.539 -0.522 0.602
#> 821 12.376 12.234 TRUE -0.142 2.617 -0.054 0.957
#> 822 8.962 12.586 TRUE 3.624 2.675 1.316 0.188
#> 823 4.138 4.220 TRUE 0.082 2.204 0.037 0.97
#> 824 16.089 16.913 TRUE 0.824 1.852 0.445 0.657
#> 825 6.556 6.048 TRUE -0.508 2.575 -0.197 0.844
#> 826 5.542 7.202 TRUE 1.660 2.572 0.641 0.521
#> 827 14.326 13.692 TRUE -0.634 2.385 -0.266 0.791
#> 828 3.846 7.561 TRUE 3.715 2.427 1.476 0.14
#> 829 3.824 3.470 TRUE -0.353 2.068 -0.171 0.864
#> 830 18.018 15.588 TRUE -2.430 1.754 -1.379 0.168
#> 831 8.413 5.391 TRUE -3.022 2.600 -1.138 0.255
#> 832 12.606 16.262 TRUE 3.656 2.275 1.565 0.118
#> 833 14.164 14.690 TRUE 0.526 2.313 0.227 0.82
#> 834 15.089 16.153 TRUE 1.064 2.069 0.513 0.608
#> 835 6.669 5.359 TRUE -1.310 2.531 -0.515 0.606
#> 836 15.631 15.331 TRUE -0.300 2.102 -0.143 0.887
#> 837 8.583 8.882 TRUE 0.300 2.756 0.109 0.913
#> 838 9.975 15.498 TRUE 5.524 2.452 2.108 0.035
#> 839 9.323 11.595 TRUE 2.272 2.724 0.825 0.41
#> 840 15.541 15.732 TRUE 0.191 2.068 0.092 0.926
#> 841 14.022 14.694 TRUE 0.672 2.325 0.289 0.773
#> 842 12.355 11.873 TRUE -0.481 2.636 -0.183 0.855
#> 843 14.853 15.093 TRUE 0.241 2.209 0.109 0.913
#> 844 9.559 7.887 TRUE -1.672 2.743 -0.606 0.544
#> 845 11.133 9.326 TRUE -1.807 2.740 -0.655 0.513
#> 846 10.539 12.420 TRUE 1.881 2.676 0.697 0.486
#> 847 8.014 6.710 TRUE -1.305 2.676 -0.486 0.627
#> 848 7.291 3.255 TRUE -4.036 2.344 -1.646 0.1
#> 849 5.193 5.152 TRUE -0.041 2.408 -0.017 0.986
#> 850 17.405 15.220 TRUE -2.185 1.893 -1.147 0.251
#> 851 14.300 14.222 TRUE -0.078 2.343 -0.033 0.973
#> 852 12.577 7.825 TRUE -4.752 2.653 -1.705 0.088
#> 853 9.443 9.937 TRUE 0.495 2.764 0.179 0.858
#> 854 7.215 8.632 TRUE 1.416 2.713 0.520 0.603
#> 855 9.045 8.158 TRUE -0.887 2.748 -0.322 0.747
#> 856 12.312 12.844 TRUE 0.532 2.586 0.206 0.837
#> 857 10.069 7.452 TRUE -2.618 2.725 -0.946 0.344
#> 858 12.706 9.191 TRUE -3.515 2.670 -1.281 0.2
#> 859 9.935 10.039 TRUE 0.104 2.761 0.038 0.97
#> 860 4.960 7.236 TRUE 2.276 2.526 0.890 0.374
#> 861 4.700 3.975 TRUE -0.725 2.238 -0.324 0.746
#> 862 12.379 13.376 TRUE 0.997 2.548 0.390 0.696
#> 863 3.686 5.925 TRUE 2.240 2.314 0.954 0.34
#> 864 7.832 4.874 TRUE -2.957 2.541 -1.139 0.255
#> 865 10.312 11.980 TRUE 1.668 2.702 0.614 0.539
#> 866 12.514 12.489 TRUE -0.026 2.596 -0.010 0.992
#> 867 9.608 9.841 TRUE 0.233 2.764 0.084 0.933
#> 868 12.273 12.649 TRUE 0.376 2.600 0.144 0.885
#> 869 9.464 6.700 TRUE -2.763 2.695 -1.008 0.313
#> 870 13.156 12.916 TRUE -0.240 2.531 -0.095 0.924
#> 871 12.913 12.515 TRUE -0.398 2.571 -0.155 0.877
#> 872 8.773 9.743 TRUE 0.969 2.761 0.350 0.726
#> 873 2.047 2.091 TRUE 0.044 1.514 0.029 0.977
#> 874 7.655 11.570 TRUE 3.914 2.695 1.405 0.16
#> 875 13.677 14.955 TRUE 1.278 2.329 0.547 0.585
#> 876 9.272 8.207 TRUE -1.065 2.751 -0.386 0.699
#> 877 15.400 15.828 TRUE 0.428 2.072 0.206 0.837
#> 878 13.230 13.950 TRUE 0.720 2.451 0.293 0.769
#> 879 7.683 9.368 TRUE 1.685 2.736 0.612 0.54
#> 880 6.096 3.484 TRUE -2.613 2.302 -1.113 0.266
#> 881 5.836 2.942 TRUE -2.894 2.209 -1.279 0.201
#> 882 6.825 9.607 TRUE 2.781 2.701 1.012 0.311
#> 883 10.996 10.558 TRUE -0.438 2.734 -0.160 0.873
#> 884 5.883 5.656 TRUE -0.227 2.505 -0.091 0.928
#> 885 13.691 13.230 TRUE -0.461 2.471 -0.187 0.852
#> 886 4.435 7.290 TRUE 2.856 2.479 1.128 0.259
#> 887 4.300 9.068 TRUE 4.768 2.512 1.796 0.073
#> 888 9.467 7.136 TRUE -2.331 2.716 -0.848 0.396
#> 889 2.581 6.217 TRUE 3.636 2.186 1.600 0.11
#> 890 14.576 11.238 TRUE -3.338 2.506 -1.300 0.193
#> 891 9.788 6.505 TRUE -3.283 2.684 -1.195 0.232
#> 892 10.951 10.806 TRUE -0.145 2.729 -0.053 0.958
#> 893 16.174 15.677 TRUE -0.496 2.000 -0.248 0.804
#> 894 11.661 11.643 TRUE -0.018 2.678 -0.007 0.995
#> 895 8.559 10.341 TRUE 1.782 2.751 0.643 0.52
#> 896 14.803 12.873 TRUE -1.930 2.402 -0.797 0.425
#> 897 15.978 15.533 TRUE -0.445 2.040 -0.218 0.827
#> 898 6.942 8.920 TRUE 1.978 2.704 0.725 0.468
#> 899 9.754 7.897 TRUE -1.856 2.742 -0.672 0.502
#> 900 6.569 5.140 TRUE -1.429 2.507 -0.567 0.571
#> 901 6.557 5.984 TRUE -0.573 2.571 -0.223 0.824
#> 902 15.694 17.523 TRUE 1.830 1.816 1.004 0.316
#> 903 15.718 17.467 TRUE 1.749 1.821 0.957 0.339
#> 904 11.840 9.523 TRUE -2.317 2.715 -0.844 0.399
#> 905 6.366 6.496 TRUE 0.130 2.592 0.050 0.96
#> 906 17.337 18.018 TRUE 0.681 1.485 0.459 0.646
#> 907 14.458 11.484 TRUE -2.973 2.507 -1.164 0.245
#> 908 9.800 5.481 TRUE -4.319 2.617 -1.582 0.114
#> 909 2.564 1.588 TRUE -0.975 1.514 -0.646 0.518
#> 910 16.201 10.275 TRUE -5.926 2.379 -2.311 0.021
#> 911 2.566 1.588 TRUE -0.978 1.515 -0.647 0.517
#> 912 18.018 16.216 TRUE -1.802 1.666 -1.080 0.28
#> 913 4.362 2.942 TRUE -1.421 2.059 -0.686 0.493
#> 914 15.356 16.026 TRUE 0.670 2.054 0.326 0.744
#> 915 13.874 15.010 TRUE 1.136 2.308 0.491 0.623
#> 916 16.686 13.294 TRUE -3.392 2.177 -1.525 0.127
#> 917 14.956 16.182 TRUE 1.226 2.080 0.588 0.557
#> 918 14.751 16.478 TRUE 1.727 2.066 0.831 0.406
#> 919 13.270 10.216 TRUE -3.054 2.631 -1.137 0.255
#> 920 11.283 8.768 TRUE -2.514 2.731 -0.908 0.364
#> 921 5.054 3.219 TRUE -1.835 2.176 -0.835 0.404
#> 922 7.331 10.425 TRUE 3.094 2.715 1.116 0.264
#> 923 11.725 10.523 TRUE -1.202 2.709 -0.442 0.658
#> 924 16.815 16.660 TRUE -0.156 1.788 -0.087 0.931
#> 925 5.127 5.293 TRUE 0.166 2.415 0.069 0.945
#> 926 17.523 17.196 TRUE -0.327 1.597 -0.205 0.838
#> 927 7.135 5.755 TRUE -1.381 2.585 -0.532 0.595
#> 928 8.403 4.477 TRUE -3.925 2.519 -1.500 0.134
#> 929 14.669 17.523 TRUE 2.855 1.940 1.454 0.146
#> 930 14.287 9.452 TRUE -4.836 2.561 -1.794 0.073
#> 931 11.846 11.062 TRUE -0.784 2.691 -0.291 0.771
#> 932 11.874 10.408 TRUE -1.467 2.705 -0.540 0.589
#> 933 12.232 13.636 TRUE 1.404 2.537 0.551 0.581
#> 934 9.003 5.767 TRUE -3.237 2.636 -1.199 0.231
#> 935 13.860 14.316 TRUE 0.456 2.372 0.192 0.848
#> 936 6.924 6.980 TRUE 0.056 2.648 0.021 0.983
#> 937 5.815 5.951 TRUE 0.136 2.521 0.054 0.957
#> 938 8.573 9.008 TRUE 0.435 2.757 0.158 0.875
#> 939 3.637 2.564 TRUE -1.074 1.900 -0.564 0.573
#> 940 11.256 10.698 TRUE -0.558 2.723 -0.205 0.838
#> 941 12.895 14.557 TRUE 1.662 2.423 0.682 0.495
#> 942 13.419 13.755 TRUE 0.336 2.453 0.137 0.891
#> 943 11.355 8.350 TRUE -3.005 2.722 -1.083 0.279
#> 944 14.178 12.580 TRUE -1.598 2.475 -0.642 0.521
#> 945 10.133 11.752 TRUE 1.619 2.714 0.593 0.553
#> 946 11.365 11.243 TRUE -0.122 2.704 -0.045 0.964
#> 947 11.859 9.791 TRUE -2.068 2.713 -0.755 0.45
#> 948 10.191 13.001 TRUE 2.810 2.648 1.043 0.297
#> 949 2.215 3.036 TRUE 0.821 1.738 0.472 0.637
#> 950 7.655 12.468 TRUE 4.813 2.653 1.724 0.085
#> 951 7.682 7.255 TRUE -0.427 2.691 -0.159 0.874
#> 952 14.734 11.824 TRUE -2.910 2.468 -1.158 0.247
#> 953 6.796 4.405 TRUE -2.391 2.451 -0.961 0.337
#> 954 2.715 6.046 TRUE 3.330 2.193 1.470 0.142
#> 955 6.460 5.046 TRUE -1.414 2.493 -0.564 0.573
#> 956 3.591 3.598 TRUE 0.007 2.054 0.004 0.997
#> 957 4.743 5.925 TRUE 1.181 2.429 0.484 0.628
#> 958 6.411 6.296 TRUE -0.115 2.583 -0.044 0.965
#> 959 13.660 16.288 TRUE 2.628 2.192 1.183 0.237
#> 960 6.046 6.663 TRUE 0.618 2.581 0.239 0.811
#> 961 3.687 2.581 TRUE -1.106 1.910 -0.577 0.564
#> 962 12.316 10.810 TRUE -1.505 2.675 -0.560 0.576
#> 963 5.906 4.645 TRUE -1.261 2.418 -0.519 0.603
#> 964 16.309 11.436 TRUE -4.873 2.333 -1.988 0.047
#> 965 5.019 7.040 TRUE 2.021 2.522 0.793 0.428
#> 966 12.997 15.257 TRUE 2.260 2.351 0.951 0.341
#> 967 15.086 15.406 TRUE 0.320 2.153 0.149 0.882
#> 968 12.297 8.645 TRUE -3.652 2.687 -1.320 0.187
#> 969 14.554 12.581 TRUE -1.973 2.443 -0.801 0.423
#> 970 13.723 15.550 TRUE 1.826 2.266 0.801 0.423
#> 971 5.841 7.233 TRUE 1.391 2.595 0.534 0.594
#> 972 15.544 15.534 TRUE -0.009 2.090 -0.004 0.996
#> 973 3.706 2.160 TRUE -1.546 1.838 -0.836 0.403
#> 974 5.439 5.249 TRUE -0.190 2.438 -0.078 0.938
#> 975 7.687 3.922 TRUE -3.765 2.441 -1.487 0.137
#> 976 12.838 12.505 TRUE -0.333 2.576 -0.129 0.897
#> 977 9.547 11.978 TRUE 2.431 2.708 0.886 0.375
#> 978 2.942 4.899 TRUE 1.957 2.120 0.913 0.361
#> 979 3.189 8.771 TRUE 5.582 2.381 2.159 0.031
#> 980 9.708 9.879 TRUE 0.171 2.764 0.062 0.951
#> 981 4.719 2.554 TRUE -2.165 2.041 -1.046 0.295
#> 982 6.945 3.976 TRUE -2.970 2.413 -1.202 0.229
#> 983 15.946 12.129 TRUE -3.817 2.337 -1.585 0.113
#> 984 16.442 15.041 TRUE -1.401 2.039 -0.685 0.494
#> 985 15.694 11.235 TRUE -4.458 2.404 -1.779 0.075
#> 986 5.931 3.502 TRUE -2.429 2.291 -1.042 0.297
#> 987 13.490 13.549 TRUE 0.059 2.463 0.024 0.981
#> 988 10.690 7.839 TRUE -2.851 2.728 -1.027 0.304
#> 989 3.350 12.450 TRUE 9.099 2.313 3.201 0.001
#> 990 8.790 11.045 TRUE 2.254 2.739 0.814 0.416
#> 991 10.688 6.766 TRUE -3.923 2.684 -1.413 0.158
#> 992 11.272 10.145 TRUE -1.127 2.732 -0.411 0.681
#> 993 7.414 6.485 TRUE -0.929 2.643 -0.351 0.726
#> 994 2.554 4.613 TRUE 2.059 2.029 1.003 0.316
#> 995 10.502 6.971 TRUE -3.531 2.698 -1.273 0.203
#> 996 9.877 5.473 TRUE -4.403 2.615 -1.611 0.107
#> 997 7.658 6.451 TRUE -1.207 2.650 -0.454 0.65
#> 998 10.264 12.161 TRUE 1.897 2.694 0.699 0.485
#> 999 11.009 6.993 TRUE -4.016 2.687 -1.443 0.149
#> 1000 2.091 2.897 TRUE 0.806 1.688 0.477 0.633
# single response pattern change using EAP information
RCI(mod, predat=dat_pre[1,], postdat=dat_post[1,])
#> pre.score post.score converged diff SE z p
#> 1 1.714 1.97 TRUE 0.256 0.759 0.337 0.736
# WLE estimator with Fisher information for SE (see Jabrayilov et al. 2016)
RCI(mod, predat = dat_pre[1,], postdat = dat_post[1,],
method = 'WLE', Fisher = TRUE)
#> pre.score post.score converged diff SE z p
#> 1 2.161 2.769 TRUE 0.609 1.199 0.508 0.612
# multiple respondents
RCI(mod, predat = dat_pre[1:6,], postdat = dat_post[1:6,])
#> pre.score post.score converged diff SE z p
#> 1 1.714 1.970 TRUE 0.256 0.759 0.337 0.736
#> 2 1.406 -0.120 TRUE -1.526 0.582 -2.620 0.009
#> 3 0.960 -0.150 TRUE -1.111 0.536 -2.073 0.038
#> 4 0.302 0.202 TRUE -0.100 0.496 -0.202 0.84
#> 5 -0.973 -0.906 TRUE 0.067 0.548 0.122 0.903
#> 6 -0.797 -0.298 TRUE 0.499 0.508 0.983 0.326
# include large-sample z-type cutoffs
RCI(mod, predat = dat_pre[1:6,], postdat = dat_post[1:6,],
cutoffs = c(-1.96, 1.96))
#> pre.score post.score converged diff SE z p cut_decision
#> 1 1.714 1.970 TRUE 0.256 0.759 0.337 0.736 unchanged
#> 2 1.406 -0.120 TRUE -1.526 0.582 -2.620 0.009 decreased
#> 3 0.960 -0.150 TRUE -1.111 0.536 -2.073 0.038 decreased
#> 4 0.302 0.202 TRUE -0.100 0.496 -0.202 0.84 unchanged
#> 5 -0.973 -0.906 TRUE 0.067 0.548 0.122 0.903 unchanged
#> 6 -0.797 -0.298 TRUE 0.499 0.508 0.983 0.326 unchanged
######
# CTT version by omitting IRT model
# Requires either sample or population SEM's as input
(istats <- itemstats(dat_pre)$overall)
#> N mean_total.score sd_total.score ave.r sd.r alpha SEM.alpha
#> 1000 9.785 4.846 0.214 0.065 0.846 1.901
SEM.alpha <- istats$SEM.alpha # SEM estimate of dat_pre
# assumes SEM.post = SEM.pre
RCI(predat = dat_pre, postdat = dat_post, SEM.pre=SEM.alpha)
#> pre.score post.score diff SE z p
#> 1 18 19 1 2.688 0.372 0.71
#> 2 18 9 -9 2.688 -3.349 0.001
#> 3 15 9 -6 2.688 -2.232 0.026
#> 4 11 10 -1 2.688 -0.372 0.71
#> 5 4 5 1 2.688 0.372 0.71
#> 6 4 8 4 2.688 1.488 0.137
#> 7 11 8 -3 2.688 -1.116 0.264
#> 8 11 15 4 2.688 1.488 0.137
#> 9 3 3 0 2.688 0.000 1
#> 10 4 8 4 2.688 1.488 0.137
#> 11 1 5 4 2.688 1.488 0.137
#> 12 16 14 -2 2.688 -0.744 0.457
#> 13 12 10 -2 2.688 -0.744 0.457
#> 14 11 10 -1 2.688 -0.372 0.71
#> 15 17 18 1 2.688 0.372 0.71
#> 16 1 4 3 2.688 1.116 0.264
#> 17 10 8 -2 2.688 -0.744 0.457
#> 18 12 11 -1 2.688 -0.372 0.71
#> 19 15 12 -3 2.688 -1.116 0.264
#> 20 16 10 -6 2.688 -2.232 0.026
#> 21 7 6 -1 2.688 -0.372 0.71
#> 22 7 12 5 2.688 1.860 0.063
#> 23 2 4 2 2.688 0.744 0.457
#> 24 5 7 2 2.688 0.744 0.457
#> 25 14 15 1 2.688 0.372 0.71
#> 26 9 6 -3 2.688 -1.116 0.264
#> 27 17 17 0 2.688 0.000 1
#> 28 4 9 5 2.688 1.860 0.063
#> 29 14 16 2 2.688 0.744 0.457
#> 30 4 7 3 2.688 1.116 0.264
#> 31 2 0 -2 2.688 -0.744 0.457
#> 32 9 6 -3 2.688 -1.116 0.264
#> 33 20 20 0 2.688 0.000 1
#> 34 9 6 -3 2.688 -1.116 0.264
#> 35 3 4 1 2.688 0.372 0.71
#> 36 14 15 1 2.688 0.372 0.71
#> 37 8 9 1 2.688 0.372 0.71
#> 38 15 13 -2 2.688 -0.744 0.457
#> 39 9 12 3 2.688 1.116 0.264
#> 40 18 18 0 2.688 0.000 1
#> 41 11 10 -1 2.688 -0.372 0.71
#> 42 12 9 -3 2.688 -1.116 0.264
#> 43 8 7 -1 2.688 -0.372 0.71
#> 44 10 11 1 2.688 0.372 0.71
#> 45 7 10 3 2.688 1.116 0.264
#> 46 8 9 1 2.688 0.372 0.71
#> 47 6 8 2 2.688 0.744 0.457
#> 48 6 7 1 2.688 0.372 0.71
#> 49 6 8 2 2.688 0.744 0.457
#> 50 8 11 3 2.688 1.116 0.264
#> 51 13 17 4 2.688 1.488 0.137
#> 52 6 6 0 2.688 0.000 1
#> 53 19 13 -6 2.688 -2.232 0.026
#> 54 6 11 5 2.688 1.860 0.063
#> 55 9 8 -1 2.688 -0.372 0.71
#> 56 7 8 1 2.688 0.372 0.71
#> 57 9 6 -3 2.688 -1.116 0.264
#> 58 3 3 0 2.688 0.000 1
#> 59 10 8 -2 2.688 -0.744 0.457
#> 60 14 14 0 2.688 0.000 1
#> 61 12 12 0 2.688 0.000 1
#> 62 15 14 -1 2.688 -0.372 0.71
#> 63 13 12 -1 2.688 -0.372 0.71
#> 64 5 5 0 2.688 0.000 1
#> 65 5 4 -1 2.688 -0.372 0.71
#> 66 5 4 -1 2.688 -0.372 0.71
#> 67 18 14 -4 2.688 -1.488 0.137
#> 68 9 8 -1 2.688 -0.372 0.71
#> 69 11 9 -2 2.688 -0.744 0.457
#> 70 19 17 -2 2.688 -0.744 0.457
#> 71 9 5 -4 2.688 -1.488 0.137
#> 72 16 15 -1 2.688 -0.372 0.71
#> 73 10 9 -1 2.688 -0.372 0.71
#> 74 11 11 0 2.688 0.000 1
#> 75 14 10 -4 2.688 -1.488 0.137
#> 76 14 15 1 2.688 0.372 0.71
#> 77 5 4 -1 2.688 -0.372 0.71
#> 78 11 9 -2 2.688 -0.744 0.457
#> 79 15 10 -5 2.688 -1.860 0.063
#> 80 11 11 0 2.688 0.000 1
#> 81 10 8 -2 2.688 -0.744 0.457
#> 82 12 12 0 2.688 0.000 1
#> 83 11 11 0 2.688 0.000 1
#> 84 5 1 -4 2.688 -1.488 0.137
#> 85 7 9 2 2.688 0.744 0.457
#> 86 7 10 3 2.688 1.116 0.264
#> 87 3 7 4 2.688 1.488 0.137
#> 88 9 11 2 2.688 0.744 0.457
#> 89 8 9 1 2.688 0.372 0.71
#> 90 12 11 -1 2.688 -0.372 0.71
#> 91 6 1 -5 2.688 -1.860 0.063
#> 92 6 8 2 2.688 0.744 0.457
#> 93 3 5 2 2.688 0.744 0.457
#> 94 12 12 0 2.688 0.000 1
#> 95 18 16 -2 2.688 -0.744 0.457
#> 96 9 7 -2 2.688 -0.744 0.457
#> 97 8 11 3 2.688 1.116 0.264
#> 98 7 7 0 2.688 0.000 1
#> 99 12 11 -1 2.688 -0.372 0.71
#> 100 10 10 0 2.688 0.000 1
#> 101 5 5 0 2.688 0.000 1
#> 102 14 15 1 2.688 0.372 0.71
#> 103 9 9 0 2.688 0.000 1
#> 104 8 15 7 2.688 2.604 0.009
#> 105 2 3 1 2.688 0.372 0.71
#> 106 7 10 3 2.688 1.116 0.264
#> 107 12 12 0 2.688 0.000 1
#> 108 2 2 0 2.688 0.000 1
#> 109 14 13 -1 2.688 -0.372 0.71
#> 110 6 4 -2 2.688 -0.744 0.457
#> 111 15 10 -5 2.688 -1.860 0.063
#> 112 5 5 0 2.688 0.000 1
#> 113 15 18 3 2.688 1.116 0.264
#> 114 2 0 -2 2.688 -0.744 0.457
#> 115 9 12 3 2.688 1.116 0.264
#> 116 14 14 0 2.688 0.000 1
#> 117 10 7 -3 2.688 -1.116 0.264
#> 118 6 5 -1 2.688 -0.372 0.71
#> 119 12 9 -3 2.688 -1.116 0.264
#> 120 7 3 -4 2.688 -1.488 0.137
#> 121 9 12 3 2.688 1.116 0.264
#> 122 2 6 4 2.688 1.488 0.137
#> 123 9 6 -3 2.688 -1.116 0.264
#> 124 2 5 3 2.688 1.116 0.264
#> 125 12 12 0 2.688 0.000 1
#> 126 16 19 3 2.688 1.116 0.264
#> 127 13 14 1 2.688 0.372 0.71
#> 128 13 14 1 2.688 0.372 0.71
#> 129 14 15 1 2.688 0.372 0.71
#> 130 7 14 7 2.688 2.604 0.009
#> 131 10 11 1 2.688 0.372 0.71
#> 132 3 3 0 2.688 0.000 1
#> 133 15 15 0 2.688 0.000 1
#> 134 18 19 1 2.688 0.372 0.71
#> 135 2 5 3 2.688 1.116 0.264
#> 136 12 10 -2 2.688 -0.744 0.457
#> 137 12 14 2 2.688 0.744 0.457
#> 138 6 3 -3 2.688 -1.116 0.264
#> 139 13 9 -4 2.688 -1.488 0.137
#> 140 8 5 -3 2.688 -1.116 0.264
#> 141 18 17 -1 2.688 -0.372 0.71
#> 142 15 15 0 2.688 0.000 1
#> 143 7 9 2 2.688 0.744 0.457
#> 144 14 10 -4 2.688 -1.488 0.137
#> 145 3 5 2 2.688 0.744 0.457
#> 146 1 2 1 2.688 0.372 0.71
#> 147 5 6 1 2.688 0.372 0.71
#> 148 8 8 0 2.688 0.000 1
#> 149 13 15 2 2.688 0.744 0.457
#> 150 9 9 0 2.688 0.000 1
#> 151 8 9 1 2.688 0.372 0.71
#> 152 2 1 -1 2.688 -0.372 0.71
#> 153 3 3 0 2.688 0.000 1
#> 154 7 5 -2 2.688 -0.744 0.457
#> 155 16 13 -3 2.688 -1.116 0.264
#> 156 9 12 3 2.688 1.116 0.264
#> 157 15 17 2 2.688 0.744 0.457
#> 158 10 5 -5 2.688 -1.860 0.063
#> 159 8 10 2 2.688 0.744 0.457
#> 160 17 11 -6 2.688 -2.232 0.026
#> 161 14 8 -6 2.688 -2.232 0.026
#> 162 8 8 0 2.688 0.000 1
#> 163 3 5 2 2.688 0.744 0.457
#> 164 16 8 -8 2.688 -2.976 0.003
#> 165 9 7 -2 2.688 -0.744 0.457
#> 166 7 8 1 2.688 0.372 0.71
#> 167 15 15 0 2.688 0.000 1
#> 168 15 18 3 2.688 1.116 0.264
#> 169 3 2 -1 2.688 -0.372 0.71
#> 170 1 2 1 2.688 0.372 0.71
#> 171 2 0 -2 2.688 -0.744 0.457
#> 172 20 15 -5 2.688 -1.860 0.063
#> 173 10 12 2 2.688 0.744 0.457
#> 174 9 3 -6 2.688 -2.232 0.026
#> 175 5 15 10 2.688 3.721 0
#> 176 9 7 -2 2.688 -0.744 0.457
#> 177 15 16 1 2.688 0.372 0.71
#> 178 2 5 3 2.688 1.116 0.264
#> 179 18 20 2 2.688 0.744 0.457
#> 180 10 8 -2 2.688 -0.744 0.457
#> 181 6 6 0 2.688 0.000 1
#> 182 3 5 2 2.688 0.744 0.457
#> 183 9 7 -2 2.688 -0.744 0.457
#> 184 7 10 3 2.688 1.116 0.264
#> 185 6 3 -3 2.688 -1.116 0.264
#> 186 7 5 -2 2.688 -0.744 0.457
#> 187 7 4 -3 2.688 -1.116 0.264
#> 188 10 9 -1 2.688 -0.372 0.71
#> 189 17 12 -5 2.688 -1.860 0.063
#> 190 2 4 2 2.688 0.744 0.457
#> 191 16 15 -1 2.688 -0.372 0.71
#> 192 6 9 3 2.688 1.116 0.264
#> 193 10 13 3 2.688 1.116 0.264
#> 194 2 7 5 2.688 1.860 0.063
#> 195 5 3 -2 2.688 -0.744 0.457
#> 196 12 8 -4 2.688 -1.488 0.137
#> 197 5 1 -4 2.688 -1.488 0.137
#> 198 5 2 -3 2.688 -1.116 0.264
#> 199 17 17 0 2.688 0.000 1
#> 200 4 2 -2 2.688 -0.744 0.457
#> 201 13 13 0 2.688 0.000 1
#> 202 14 12 -2 2.688 -0.744 0.457
#> 203 2 2 0 2.688 0.000 1
#> 204 11 9 -2 2.688 -0.744 0.457
#> 205 10 11 1 2.688 0.372 0.71
#> 206 13 11 -2 2.688 -0.744 0.457
#> 207 17 18 1 2.688 0.372 0.71
#> 208 14 15 1 2.688 0.372 0.71
#> 209 18 18 0 2.688 0.000 1
#> 210 2 0 -2 2.688 -0.744 0.457
#> 211 9 11 2 2.688 0.744 0.457
#> 212 10 12 2 2.688 0.744 0.457
#> 213 16 14 -2 2.688 -0.744 0.457
#> 214 2 2 0 2.688 0.000 1
#> 215 3 4 1 2.688 0.372 0.71
#> 216 15 17 2 2.688 0.744 0.457
#> 217 14 12 -2 2.688 -0.744 0.457
#> 218 3 5 2 2.688 0.744 0.457
#> 219 9 8 -1 2.688 -0.372 0.71
#> 220 0 1 1 2.688 0.372 0.71
#> 221 14 12 -2 2.688 -0.744 0.457
#> 222 2 1 -1 2.688 -0.372 0.71
#> 223 5 10 5 2.688 1.860 0.063
#> 224 8 15 7 2.688 2.604 0.009
#> 225 12 14 2 2.688 0.744 0.457
#> 226 14 14 0 2.688 0.000 1
#> 227 11 11 0 2.688 0.000 1
#> 228 9 9 0 2.688 0.000 1
#> 229 17 15 -2 2.688 -0.744 0.457
#> 230 2 2 0 2.688 0.000 1
#> 231 6 9 3 2.688 1.116 0.264
#> 232 9 14 5 2.688 1.860 0.063
#> 233 13 13 0 2.688 0.000 1
#> 234 13 17 4 2.688 1.488 0.137
#> 235 13 6 -7 2.688 -2.604 0.009
#> 236 8 8 0 2.688 0.000 1
#> 237 8 9 1 2.688 0.372 0.71
#> 238 6 12 6 2.688 2.232 0.026
#> 239 9 9 0 2.688 0.000 1
#> 240 7 12 5 2.688 1.860 0.063
#> 241 18 18 0 2.688 0.000 1
#> 242 4 3 -1 2.688 -0.372 0.71
#> 243 1 2 1 2.688 0.372 0.71
#> 244 3 1 -2 2.688 -0.744 0.457
#> 245 6 5 -1 2.688 -0.372 0.71
#> 246 4 4 0 2.688 0.000 1
#> 247 17 17 0 2.688 0.000 1
#> 248 20 18 -2 2.688 -0.744 0.457
#> 249 8 10 2 2.688 0.744 0.457
#> 250 15 18 3 2.688 1.116 0.264
#> 251 15 13 -2 2.688 -0.744 0.457
#> 252 8 8 0 2.688 0.000 1
#> 253 8 8 0 2.688 0.000 1
#> 254 11 13 2 2.688 0.744 0.457
#> 255 18 16 -2 2.688 -0.744 0.457
#> 256 10 11 1 2.688 0.372 0.71
#> 257 18 16 -2 2.688 -0.744 0.457
#> 258 10 11 1 2.688 0.372 0.71
#> 259 4 3 -1 2.688 -0.372 0.71
#> 260 11 14 3 2.688 1.116 0.264
#> 261 14 11 -3 2.688 -1.116 0.264
#> 262 14 13 -1 2.688 -0.372 0.71
#> 263 19 17 -2 2.688 -0.744 0.457
#> 264 4 6 2 2.688 0.744 0.457
#> 265 17 17 0 2.688 0.000 1
#> 266 9 12 3 2.688 1.116 0.264
#> 267 4 7 3 2.688 1.116 0.264
#> 268 15 12 -3 2.688 -1.116 0.264
#> 269 7 7 0 2.688 0.000 1
#> 270 8 11 3 2.688 1.116 0.264
#> 271 1 2 1 2.688 0.372 0.71
#> 272 8 6 -2 2.688 -0.744 0.457
#> 273 6 6 0 2.688 0.000 1
#> 274 17 16 -1 2.688 -0.372 0.71
#> 275 13 11 -2 2.688 -0.744 0.457
#> 276 2 1 -1 2.688 -0.372 0.71
#> 277 9 10 1 2.688 0.372 0.71
#> 278 2 0 -2 2.688 -0.744 0.457
#> 279 11 13 2 2.688 0.744 0.457
#> 280 17 17 0 2.688 0.000 1
#> 281 16 16 0 2.688 0.000 1
#> 282 14 15 1 2.688 0.372 0.71
#> 283 15 16 1 2.688 0.372 0.71
#> 284 4 1 -3 2.688 -1.116 0.264
#> 285 17 18 1 2.688 0.372 0.71
#> 286 10 7 -3 2.688 -1.116 0.264
#> 287 12 15 3 2.688 1.116 0.264
#> 288 15 17 2 2.688 0.744 0.457
#> 289 17 15 -2 2.688 -0.744 0.457
#> 290 14 11 -3 2.688 -1.116 0.264
#> 291 15 12 -3 2.688 -1.116 0.264
#> 292 10 10 0 2.688 0.000 1
#> 293 0 2 2 2.688 0.744 0.457
#> 294 12 8 -4 2.688 -1.488 0.137
#> 295 4 7 3 2.688 1.116 0.264
#> 296 15 15 0 2.688 0.000 1
#> 297 18 17 -1 2.688 -0.372 0.71
#> 298 9 7 -2 2.688 -0.744 0.457
#> 299 18 12 -6 2.688 -2.232 0.026
#> 300 0 1 1 2.688 0.372 0.71
#> 301 4 11 7 2.688 2.604 0.009
#> 302 10 8 -2 2.688 -0.744 0.457
#> 303 5 2 -3 2.688 -1.116 0.264
#> 304 19 17 -2 2.688 -0.744 0.457
#> 305 11 6 -5 2.688 -1.860 0.063
#> 306 15 15 0 2.688 0.000 1
#> 307 10 12 2 2.688 0.744 0.457
#> 308 11 8 -3 2.688 -1.116 0.264
#> 309 10 7 -3 2.688 -1.116 0.264
#> 310 8 6 -2 2.688 -0.744 0.457
#> 311 14 15 1 2.688 0.372 0.71
#> 312 16 11 -5 2.688 -1.860 0.063
#> 313 6 4 -2 2.688 -0.744 0.457
#> 314 11 11 0 2.688 0.000 1
#> 315 7 7 0 2.688 0.000 1
#> 316 9 11 2 2.688 0.744 0.457
#> 317 7 11 4 2.688 1.488 0.137
#> 318 1 5 4 2.688 1.488 0.137
#> 319 10 9 -1 2.688 -0.372 0.71
#> 320 13 10 -3 2.688 -1.116 0.264
#> 321 13 10 -3 2.688 -1.116 0.264
#> 322 13 9 -4 2.688 -1.488 0.137
#> 323 1 2 1 2.688 0.372 0.71
#> 324 13 13 0 2.688 0.000 1
#> 325 13 13 0 2.688 0.000 1
#> 326 13 13 0 2.688 0.000 1
#> 327 7 6 -1 2.688 -0.372 0.71
#> 328 9 12 3 2.688 1.116 0.264
#> 329 13 13 0 2.688 0.000 1
#> 330 6 14 8 2.688 2.976 0.003
#> 331 12 14 2 2.688 0.744 0.457
#> 332 9 5 -4 2.688 -1.488 0.137
#> 333 13 12 -1 2.688 -0.372 0.71
#> 334 13 14 1 2.688 0.372 0.71
#> 335 9 11 2 2.688 0.744 0.457
#> 336 10 9 -1 2.688 -0.372 0.71
#> 337 12 13 1 2.688 0.372 0.71
#> 338 16 14 -2 2.688 -0.744 0.457
#> 339 6 10 4 2.688 1.488 0.137
#> 340 17 15 -2 2.688 -0.744 0.457
#> 341 12 14 2 2.688 0.744 0.457
#> 342 6 5 -1 2.688 -0.372 0.71
#> 343 5 9 4 2.688 1.488 0.137
#> 344 5 4 -1 2.688 -0.372 0.71
#> 345 6 9 3 2.688 1.116 0.264
#> 346 12 8 -4 2.688 -1.488 0.137
#> 347 12 13 1 2.688 0.372 0.71
#> 348 8 11 3 2.688 1.116 0.264
#> 349 5 6 1 2.688 0.372 0.71
#> 350 11 12 1 2.688 0.372 0.71
#> 351 9 7 -2 2.688 -0.744 0.457
#> 352 18 16 -2 2.688 -0.744 0.457
#> 353 9 11 2 2.688 0.744 0.457
#> 354 4 3 -1 2.688 -0.372 0.71
#> 355 12 17 5 2.688 1.860 0.063
#> 356 16 15 -1 2.688 -0.372 0.71
#> 357 9 13 4 2.688 1.488 0.137
#> 358 10 7 -3 2.688 -1.116 0.264
#> 359 1 3 2 2.688 0.744 0.457
#> 360 10 12 2 2.688 0.744 0.457
#> 361 5 5 0 2.688 0.000 1
#> 362 13 15 2 2.688 0.744 0.457
#> 363 9 12 3 2.688 1.116 0.264
#> 364 13 14 1 2.688 0.372 0.71
#> 365 9 5 -4 2.688 -1.488 0.137
#> 366 17 17 0 2.688 0.000 1
#> 367 4 2 -2 2.688 -0.744 0.457
#> 368 12 9 -3 2.688 -1.116 0.264
#> 369 3 10 7 2.688 2.604 0.009
#> 370 12 12 0 2.688 0.000 1
#> 371 14 18 4 2.688 1.488 0.137
#> 372 10 11 1 2.688 0.372 0.71
#> 373 7 9 2 2.688 0.744 0.457
#> 374 4 6 2 2.688 0.744 0.457
#> 375 10 5 -5 2.688 -1.860 0.063
#> 376 16 14 -2 2.688 -0.744 0.457
#> 377 15 15 0 2.688 0.000 1
#> 378 13 12 -1 2.688 -0.372 0.71
#> 379 0 3 3 2.688 1.116 0.264
#> 380 7 8 1 2.688 0.372 0.71
#> 381 6 7 1 2.688 0.372 0.71
#> 382 6 6 0 2.688 0.000 1
#> 383 6 8 2 2.688 0.744 0.457
#> 384 4 4 0 2.688 0.000 1
#> 385 3 4 1 2.688 0.372 0.71
#> 386 2 7 5 2.688 1.860 0.063
#> 387 9 9 0 2.688 0.000 1
#> 388 19 14 -5 2.688 -1.860 0.063
#> 389 3 6 3 2.688 1.116 0.264
#> 390 0 2 2 2.688 0.744 0.457
#> 391 15 14 -1 2.688 -0.372 0.71
#> 392 11 4 -7 2.688 -2.604 0.009
#> 393 5 6 1 2.688 0.372 0.71
#> 394 2 1 -1 2.688 -0.372 0.71
#> 395 7 13 6 2.688 2.232 0.026
#> 396 13 11 -2 2.688 -0.744 0.457
#> 397 15 14 -1 2.688 -0.372 0.71
#> 398 2 4 2 2.688 0.744 0.457
#> 399 13 6 -7 2.688 -2.604 0.009
#> 400 15 9 -6 2.688 -2.232 0.026
#> 401 7 8 1 2.688 0.372 0.71
#> 402 3 3 0 2.688 0.000 1
#> 403 9 12 3 2.688 1.116 0.264
#> 404 17 17 0 2.688 0.000 1
#> 405 1 4 3 2.688 1.116 0.264
#> 406 4 2 -2 2.688 -0.744 0.457
#> 407 7 10 3 2.688 1.116 0.264
#> 408 7 11 4 2.688 1.488 0.137
#> 409 12 12 0 2.688 0.000 1
#> 410 8 6 -2 2.688 -0.744 0.457
#> 411 8 4 -4 2.688 -1.488 0.137
#> 412 14 11 -3 2.688 -1.116 0.264
#> 413 5 3 -2 2.688 -0.744 0.457
#> 414 16 17 1 2.688 0.372 0.71
#> 415 11 15 4 2.688 1.488 0.137
#> 416 15 12 -3 2.688 -1.116 0.264
#> 417 14 15 1 2.688 0.372 0.71
#> 418 5 6 1 2.688 0.372 0.71
#> 419 5 10 5 2.688 1.860 0.063
#> 420 10 13 3 2.688 1.116 0.264
#> 421 3 2 -1 2.688 -0.372 0.71
#> 422 17 17 0 2.688 0.000 1
#> 423 11 11 0 2.688 0.000 1
#> 424 14 13 -1 2.688 -0.372 0.71
#> 425 16 9 -7 2.688 -2.604 0.009
#> 426 15 16 1 2.688 0.372 0.71
#> 427 11 7 -4 2.688 -1.488 0.137
#> 428 8 11 3 2.688 1.116 0.264
#> 429 13 13 0 2.688 0.000 1
#> 430 10 10 0 2.688 0.000 1
#> 431 15 14 -1 2.688 -0.372 0.71
#> 432 1 4 3 2.688 1.116 0.264
#> 433 3 3 0 2.688 0.000 1
#> 434 11 15 4 2.688 1.488 0.137
#> 435 3 4 1 2.688 0.372 0.71
#> 436 6 11 5 2.688 1.860 0.063
#> 437 2 0 -2 2.688 -0.744 0.457
#> 438 13 14 1 2.688 0.372 0.71
#> 439 18 14 -4 2.688 -1.488 0.137
#> 440 6 13 7 2.688 2.604 0.009
#> 441 14 12 -2 2.688 -0.744 0.457
#> 442 4 5 1 2.688 0.372 0.71
#> 443 10 9 -1 2.688 -0.372 0.71
#> 444 18 18 0 2.688 0.000 1
#> 445 17 16 -1 2.688 -0.372 0.71
#> 446 16 17 1 2.688 0.372 0.71
#> 447 0 0 0 2.688 0.000 1
#> 448 12 10 -2 2.688 -0.744 0.457
#> 449 4 7 3 2.688 1.116 0.264
#> 450 1 4 3 2.688 1.116 0.264
#> 451 19 18 -1 2.688 -0.372 0.71
#> 452 8 5 -3 2.688 -1.116 0.264
#> 453 8 11 3 2.688 1.116 0.264
#> 454 5 9 4 2.688 1.488 0.137
#> 455 18 17 -1 2.688 -0.372 0.71
#> 456 12 11 -1 2.688 -0.372 0.71
#> 457 5 9 4 2.688 1.488 0.137
#> 458 2 5 3 2.688 1.116 0.264
#> 459 1 2 1 2.688 0.372 0.71
#> 460 19 18 -1 2.688 -0.372 0.71
#> 461 15 17 2 2.688 0.744 0.457
#> 462 17 13 -4 2.688 -1.488 0.137
#> 463 13 15 2 2.688 0.744 0.457
#> 464 14 14 0 2.688 0.000 1
#> 465 6 9 3 2.688 1.116 0.264
#> 466 9 5 -4 2.688 -1.488 0.137
#> 467 16 15 -1 2.688 -0.372 0.71
#> 468 3 2 -1 2.688 -0.372 0.71
#> 469 1 7 6 2.688 2.232 0.026
#> 470 13 10 -3 2.688 -1.116 0.264
#> 471 5 4 -1 2.688 -0.372 0.71
#> 472 6 7 1 2.688 0.372 0.71
#> 473 20 19 -1 2.688 -0.372 0.71
#> 474 7 9 2 2.688 0.744 0.457
#> 475 1 1 0 2.688 0.000 1
#> 476 15 13 -2 2.688 -0.744 0.457
#> 477 16 11 -5 2.688 -1.860 0.063
#> 478 16 12 -4 2.688 -1.488 0.137
#> 479 11 10 -1 2.688 -0.372 0.71
#> 480 15 16 1 2.688 0.372 0.71
#> 481 7 8 1 2.688 0.372 0.71
#> 482 15 12 -3 2.688 -1.116 0.264
#> 483 15 16 1 2.688 0.372 0.71
#> 484 12 11 -1 2.688 -0.372 0.71
#> 485 12 10 -2 2.688 -0.744 0.457
#> 486 5 8 3 2.688 1.116 0.264
#> 487 8 12 4 2.688 1.488 0.137
#> 488 11 13 2 2.688 0.744 0.457
#> 489 16 17 1 2.688 0.372 0.71
#> 490 7 8 1 2.688 0.372 0.71
#> 491 19 18 -1 2.688 -0.372 0.71
#> 492 4 5 1 2.688 0.372 0.71
#> 493 19 16 -3 2.688 -1.116 0.264
#> 494 8 9 1 2.688 0.372 0.71
#> 495 10 15 5 2.688 1.860 0.063
#> 496 6 7 1 2.688 0.372 0.71
#> 497 11 8 -3 2.688 -1.116 0.264
#> 498 3 9 6 2.688 2.232 0.026
#> 499 8 8 0 2.688 0.000 1
#> 500 7 11 4 2.688 1.488 0.137
#> 501 13 16 3 2.688 1.116 0.264
#> 502 11 10 -1 2.688 -0.372 0.71
#> 503 0 1 1 2.688 0.372 0.71
#> 504 4 5 1 2.688 0.372 0.71
#> 505 4 6 2 2.688 0.744 0.457
#> 506 12 10 -2 2.688 -0.744 0.457
#> 507 18 16 -2 2.688 -0.744 0.457
#> 508 13 14 1 2.688 0.372 0.71
#> 509 5 7 2 2.688 0.744 0.457
#> 510 8 10 2 2.688 0.744 0.457
#> 511 6 10 4 2.688 1.488 0.137
#> 512 7 9 2 2.688 0.744 0.457
#> 513 5 5 0 2.688 0.000 1
#> 514 5 10 5 2.688 1.860 0.063
#> 515 9 11 2 2.688 0.744 0.457
#> 516 17 17 0 2.688 0.000 1
#> 517 14 13 -1 2.688 -0.372 0.71
#> 518 8 15 7 2.688 2.604 0.009
#> 519 14 14 0 2.688 0.000 1
#> 520 13 8 -5 2.688 -1.860 0.063
#> 521 14 12 -2 2.688 -0.744 0.457
#> 522 6 2 -4 2.688 -1.488 0.137
#> 523 17 14 -3 2.688 -1.116 0.264
#> 524 13 13 0 2.688 0.000 1
#> 525 14 14 0 2.688 0.000 1
#> 526 16 12 -4 2.688 -1.488 0.137
#> 527 12 10 -2 2.688 -0.744 0.457
#> 528 15 16 1 2.688 0.372 0.71
#> 529 13 10 -3 2.688 -1.116 0.264
#> 530 9 10 1 2.688 0.372 0.71
#> 531 12 7 -5 2.688 -1.860 0.063
#> 532 20 20 0 2.688 0.000 1
#> 533 17 12 -5 2.688 -1.860 0.063
#> 534 6 8 2 2.688 0.744 0.457
#> 535 19 18 -1 2.688 -0.372 0.71
#> 536 12 12 0 2.688 0.000 1
#> 537 10 7 -3 2.688 -1.116 0.264
#> 538 6 4 -2 2.688 -0.744 0.457
#> 539 8 8 0 2.688 0.000 1
#> 540 10 12 2 2.688 0.744 0.457
#> 541 4 7 3 2.688 1.116 0.264
#> 542 2 2 0 2.688 0.000 1
#> 543 6 5 -1 2.688 -0.372 0.71
#> 544 12 10 -2 2.688 -0.744 0.457
#> 545 4 5 1 2.688 0.372 0.71
#> 546 11 10 -1 2.688 -0.372 0.71
#> 547 14 12 -2 2.688 -0.744 0.457
#> 548 13 15 2 2.688 0.744 0.457
#> 549 12 9 -3 2.688 -1.116 0.264
#> 550 11 11 0 2.688 0.000 1
#> 551 8 2 -6 2.688 -2.232 0.026
#> 552 14 15 1 2.688 0.372 0.71
#> 553 11 14 3 2.688 1.116 0.264
#> 554 13 12 -1 2.688 -0.372 0.71
#> 555 2 3 1 2.688 0.372 0.71
#> 556 9 13 4 2.688 1.488 0.137
#> 557 10 11 1 2.688 0.372 0.71
#> 558 8 12 4 2.688 1.488 0.137
#> 559 11 12 1 2.688 0.372 0.71
#> 560 19 18 -1 2.688 -0.372 0.71
#> 561 12 12 0 2.688 0.000 1
#> 562 12 8 -4 2.688 -1.488 0.137
#> 563 3 6 3 2.688 1.116 0.264
#> 564 4 0 -4 2.688 -1.488 0.137
#> 565 14 14 0 2.688 0.000 1
#> 566 3 4 1 2.688 0.372 0.71
#> 567 18 16 -2 2.688 -0.744 0.457
#> 568 3 2 -1 2.688 -0.372 0.71
#> 569 17 19 2 2.688 0.744 0.457
#> 570 10 8 -2 2.688 -0.744 0.457
#> 571 16 13 -3 2.688 -1.116 0.264
#> 572 8 8 0 2.688 0.000 1
#> 573 15 17 2 2.688 0.744 0.457
#> 574 7 12 5 2.688 1.860 0.063
#> 575 6 2 -4 2.688 -1.488 0.137
#> 576 11 14 3 2.688 1.116 0.264
#> 577 13 12 -1 2.688 -0.372 0.71
#> 578 17 14 -3 2.688 -1.116 0.264
#> 579 5 9 4 2.688 1.488 0.137
#> 580 12 17 5 2.688 1.860 0.063
#> 581 11 10 -1 2.688 -0.372 0.71
#> 582 6 12 6 2.688 2.232 0.026
#> 583 11 13 2 2.688 0.744 0.457
#> 584 16 18 2 2.688 0.744 0.457
#> 585 8 6 -2 2.688 -0.744 0.457
#> 586 7 9 2 2.688 0.744 0.457
#> 587 12 11 -1 2.688 -0.372 0.71
#> 588 9 7 -2 2.688 -0.744 0.457
#> 589 9 6 -3 2.688 -1.116 0.264
#> 590 14 13 -1 2.688 -0.372 0.71
#> 591 15 15 0 2.688 0.000 1
#> 592 19 15 -4 2.688 -1.488 0.137
#> 593 6 7 1 2.688 0.372 0.71
#> 594 4 3 -1 2.688 -0.372 0.71
#> 595 4 6 2 2.688 0.744 0.457
#> 596 4 3 -1 2.688 -0.372 0.71
#> 597 4 4 0 2.688 0.000 1
#> 598 10 6 -4 2.688 -1.488 0.137
#> 599 8 14 6 2.688 2.232 0.026
#> 600 9 12 3 2.688 1.116 0.264
#> 601 10 12 2 2.688 0.744 0.457
#> 602 12 9 -3 2.688 -1.116 0.264
#> 603 13 9 -4 2.688 -1.488 0.137
#> 604 11 11 0 2.688 0.000 1
#> 605 2 4 2 2.688 0.744 0.457
#> 606 16 14 -2 2.688 -0.744 0.457
#> 607 2 1 -1 2.688 -0.372 0.71
#> 608 3 2 -1 2.688 -0.372 0.71
#> 609 6 4 -2 2.688 -0.744 0.457
#> 610 15 11 -4 2.688 -1.488 0.137
#> 611 7 6 -1 2.688 -0.372 0.71
#> 612 14 18 4 2.688 1.488 0.137
#> 613 7 14 7 2.688 2.604 0.009
#> 614 18 14 -4 2.688 -1.488 0.137
#> 615 9 6 -3 2.688 -1.116 0.264
#> 616 11 11 0 2.688 0.000 1
#> 617 6 2 -4 2.688 -1.488 0.137
#> 618 10 7 -3 2.688 -1.116 0.264
#> 619 3 2 -1 2.688 -0.372 0.71
#> 620 8 4 -4 2.688 -1.488 0.137
#> 621 8 10 2 2.688 0.744 0.457
#> 622 16 16 0 2.688 0.000 1
#> 623 4 2 -2 2.688 -0.744 0.457
#> 624 13 15 2 2.688 0.744 0.457
#> 625 11 11 0 2.688 0.000 1
#> 626 14 13 -1 2.688 -0.372 0.71
#> 627 4 8 4 2.688 1.488 0.137
#> 628 6 8 2 2.688 0.744 0.457
#> 629 15 9 -6 2.688 -2.232 0.026
#> 630 2 3 1 2.688 0.372 0.71
#> 631 2 3 1 2.688 0.372 0.71
#> 632 8 6 -2 2.688 -0.744 0.457
#> 633 8 4 -4 2.688 -1.488 0.137
#> 634 12 18 6 2.688 2.232 0.026
#> 635 15 15 0 2.688 0.000 1
#> 636 10 10 0 2.688 0.000 1
#> 637 3 3 0 2.688 0.000 1
#> 638 14 15 1 2.688 0.372 0.71
#> 639 9 6 -3 2.688 -1.116 0.264
#> 640 2 5 3 2.688 1.116 0.264
#> 641 14 17 3 2.688 1.116 0.264
#> 642 4 2 -2 2.688 -0.744 0.457
#> 643 12 13 1 2.688 0.372 0.71
#> 644 10 7 -3 2.688 -1.116 0.264
#> 645 3 4 1 2.688 0.372 0.71
#> 646 4 2 -2 2.688 -0.744 0.457
#> 647 2 6 4 2.688 1.488 0.137
#> 648 11 8 -3 2.688 -1.116 0.264
#> 649 10 10 0 2.688 0.000 1
#> 650 17 17 0 2.688 0.000 1
#> 651 8 10 2 2.688 0.744 0.457
#> 652 8 9 1 2.688 0.372 0.71
#> 653 17 17 0 2.688 0.000 1
#> 654 15 13 -2 2.688 -0.744 0.457
#> 655 14 19 5 2.688 1.860 0.063
#> 656 10 14 4 2.688 1.488 0.137
#> 657 12 13 1 2.688 0.372 0.71
#> 658 7 12 5 2.688 1.860 0.063
#> 659 11 12 1 2.688 0.372 0.71
#> 660 13 10 -3 2.688 -1.116 0.264
#> 661 7 7 0 2.688 0.000 1
#> 662 8 6 -2 2.688 -0.744 0.457
#> 663 7 5 -2 2.688 -0.744 0.457
#> 664 14 10 -4 2.688 -1.488 0.137
#> 665 17 19 2 2.688 0.744 0.457
#> 666 9 6 -3 2.688 -1.116 0.264
#> 667 3 3 0 2.688 0.000 1
#> 668 15 11 -4 2.688 -1.488 0.137
#> 669 7 8 1 2.688 0.372 0.71
#> 670 12 12 0 2.688 0.000 1
#> 671 13 13 0 2.688 0.000 1
#> 672 16 20 4 2.688 1.488 0.137
#> 673 13 9 -4 2.688 -1.488 0.137
#> 674 14 16 2 2.688 0.744 0.457
#> 675 7 2 -5 2.688 -1.860 0.063
#> 676 10 6 -4 2.688 -1.488 0.137
#> 677 10 12 2 2.688 0.744 0.457
#> 678 8 9 1 2.688 0.372 0.71
#> 679 4 7 3 2.688 1.116 0.264
#> 680 2 4 2 2.688 0.744 0.457
#> 681 13 10 -3 2.688 -1.116 0.264
#> 682 5 12 7 2.688 2.604 0.009
#> 683 5 6 1 2.688 0.372 0.71
#> 684 10 7 -3 2.688 -1.116 0.264
#> 685 13 12 -1 2.688 -0.372 0.71
#> 686 17 19 2 2.688 0.744 0.457
#> 687 11 12 1 2.688 0.372 0.71
#> 688 4 10 6 2.688 2.232 0.026
#> 689 6 4 -2 2.688 -0.744 0.457
#> 690 3 5 2 2.688 0.744 0.457
#> 691 11 14 3 2.688 1.116 0.264
#> 692 7 2 -5 2.688 -1.860 0.063
#> 693 8 10 2 2.688 0.744 0.457
#> 694 13 11 -2 2.688 -0.744 0.457
#> 695 13 16 3 2.688 1.116 0.264
#> 696 16 15 -1 2.688 -0.372 0.71
#> 697 16 12 -4 2.688 -1.488 0.137
#> 698 3 3 0 2.688 0.000 1
#> 699 12 15 3 2.688 1.116 0.264
#> 700 12 16 4 2.688 1.488 0.137
#> 701 3 3 0 2.688 0.000 1
#> 702 20 20 0 2.688 0.000 1
#> 703 7 10 3 2.688 1.116 0.264
#> 704 9 13 4 2.688 1.488 0.137
#> 705 5 7 2 2.688 0.744 0.457
#> 706 2 2 0 2.688 0.000 1
#> 707 13 16 3 2.688 1.116 0.264
#> 708 5 7 2 2.688 0.744 0.457
#> 709 8 7 -1 2.688 -0.372 0.71
#> 710 15 18 3 2.688 1.116 0.264
#> 711 3 1 -2 2.688 -0.744 0.457
#> 712 5 5 0 2.688 0.000 1
#> 713 5 3 -2 2.688 -0.744 0.457
#> 714 15 16 1 2.688 0.372 0.71
#> 715 12 10 -2 2.688 -0.744 0.457
#> 716 9 6 -3 2.688 -1.116 0.264
#> 717 5 2 -3 2.688 -1.116 0.264
#> 718 3 4 1 2.688 0.372 0.71
#> 719 2 6 4 2.688 1.488 0.137
#> 720 4 6 2 2.688 0.744 0.457
#> 721 10 12 2 2.688 0.744 0.457
#> 722 16 14 -2 2.688 -0.744 0.457
#> 723 3 2 -1 2.688 -0.372 0.71
#> 724 13 8 -5 2.688 -1.860 0.063
#> 725 17 15 -2 2.688 -0.744 0.457
#> 726 8 8 0 2.688 0.000 1
#> 727 8 10 2 2.688 0.744 0.457
#> 728 16 12 -4 2.688 -1.488 0.137
#> 729 11 15 4 2.688 1.488 0.137
#> 730 4 8 4 2.688 1.488 0.137
#> 731 5 6 1 2.688 0.372 0.71
#> 732 4 3 -1 2.688 -0.372 0.71
#> 733 8 6 -2 2.688 -0.744 0.457
#> 734 18 19 1 2.688 0.372 0.71
#> 735 10 11 1 2.688 0.372 0.71
#> 736 10 12 2 2.688 0.744 0.457
#> 737 18 20 2 2.688 0.744 0.457
#> 738 11 5 -6 2.688 -2.232 0.026
#> 739 17 17 0 2.688 0.000 1
#> 740 3 5 2 2.688 0.744 0.457
#> 741 15 15 0 2.688 0.000 1
#> 742 8 9 1 2.688 0.372 0.71
#> 743 9 5 -4 2.688 -1.488 0.137
#> 744 16 13 -3 2.688 -1.116 0.264
#> 745 14 13 -1 2.688 -0.372 0.71
#> 746 8 6 -2 2.688 -0.744 0.457
#> 747 5 9 4 2.688 1.488 0.137
#> 748 3 1 -2 2.688 -0.744 0.457
#> 749 6 7 1 2.688 0.372 0.71
#> 750 17 13 -4 2.688 -1.488 0.137
#> 751 15 15 0 2.688 0.000 1
#> 752 5 6 1 2.688 0.372 0.71
#> 753 9 11 2 2.688 0.744 0.457
#> 754 16 14 -2 2.688 -0.744 0.457
#> 755 12 12 0 2.688 0.000 1
#> 756 12 14 2 2.688 0.744 0.457
#> 757 14 9 -5 2.688 -1.860 0.063
#> 758 12 15 3 2.688 1.116 0.264
#> 759 1 0 -1 2.688 -0.372 0.71
#> 760 13 17 4 2.688 1.488 0.137
#> 761 17 19 2 2.688 0.744 0.457
#> 762 4 4 0 2.688 0.000 1
#> 763 10 7 -3 2.688 -1.116 0.264
#> 764 15 15 0 2.688 0.000 1
#> 765 10 12 2 2.688 0.744 0.457
#> 766 2 2 0 2.688 0.000 1
#> 767 16 16 0 2.688 0.000 1
#> 768 14 13 -1 2.688 -0.372 0.71
#> 769 15 15 0 2.688 0.000 1
#> 770 7 3 -4 2.688 -1.488 0.137
#> 771 7 3 -4 2.688 -1.488 0.137
#> 772 15 14 -1 2.688 -0.372 0.71
#> 773 11 12 1 2.688 0.372 0.71
#> 774 2 1 -1 2.688 -0.372 0.71
#> 775 3 7 4 2.688 1.488 0.137
#> 776 16 16 0 2.688 0.000 1
#> 777 14 9 -5 2.688 -1.860 0.063
#> 778 14 14 0 2.688 0.000 1
#> 779 14 13 -1 2.688 -0.372 0.71
#> 780 13 9 -4 2.688 -1.488 0.137
#> 781 13 11 -2 2.688 -0.744 0.457
#> 782 5 13 8 2.688 2.976 0.003
#> 783 13 12 -1 2.688 -0.372 0.71
#> 784 8 7 -1 2.688 -0.372 0.71
#> 785 17 16 -1 2.688 -0.372 0.71
#> 786 10 11 1 2.688 0.372 0.71
#> 787 12 10 -2 2.688 -0.744 0.457
#> 788 7 9 2 2.688 0.744 0.457
#> 789 2 2 0 2.688 0.000 1
#> 790 1 3 2 2.688 0.744 0.457
#> 791 3 8 5 2.688 1.860 0.063
#> 792 14 16 2 2.688 0.744 0.457
#> 793 4 7 3 2.688 1.116 0.264
#> 794 15 17 2 2.688 0.744 0.457
#> 795 15 13 -2 2.688 -0.744 0.457
#> 796 7 8 1 2.688 0.372 0.71
#> 797 6 4 -2 2.688 -0.744 0.457
#> 798 7 6 -1 2.688 -0.372 0.71
#> 799 11 8 -3 2.688 -1.116 0.264
#> 800 8 12 4 2.688 1.488 0.137
#> 801 6 3 -3 2.688 -1.116 0.264
#> 802 7 2 -5 2.688 -1.860 0.063
#> 803 9 9 0 2.688 0.000 1
#> 804 17 14 -3 2.688 -1.116 0.264
#> 805 6 7 1 2.688 0.372 0.71
#> 806 14 13 -1 2.688 -0.372 0.71
#> 807 6 13 7 2.688 2.604 0.009
#> 808 7 9 2 2.688 0.744 0.457
#> 809 17 17 0 2.688 0.000 1
#> 810 3 6 3 2.688 1.116 0.264
#> 811 15 18 3 2.688 1.116 0.264
#> 812 10 10 0 2.688 0.000 1
#> 813 7 2 -5 2.688 -1.860 0.063
#> 814 13 14 1 2.688 0.372 0.71
#> 815 8 10 2 2.688 0.744 0.457
#> 816 7 7 0 2.688 0.000 1
#> 817 15 5 -10 2.688 -3.721 0
#> 818 11 11 0 2.688 0.000 1
#> 819 8 14 6 2.688 2.232 0.026
#> 820 7 5 -2 2.688 -0.744 0.457
#> 821 12 12 0 2.688 0.000 1
#> 822 10 13 3 2.688 1.116 0.264
#> 823 3 3 0 2.688 0.000 1
#> 824 17 18 1 2.688 0.372 0.71
#> 825 7 6 -1 2.688 -0.372 0.71
#> 826 5 7 2 2.688 0.744 0.457
#> 827 15 14 -1 2.688 -0.372 0.71
#> 828 3 7 4 2.688 1.488 0.137
#> 829 4 3 -1 2.688 -0.372 0.71
#> 830 20 17 -3 2.688 -1.116 0.264
#> 831 8 5 -3 2.688 -1.116 0.264
#> 832 13 18 5 2.688 1.860 0.063
#> 833 15 15 0 2.688 0.000 1
#> 834 16 17 1 2.688 0.372 0.71
#> 835 6 6 0 2.688 0.000 1
#> 836 16 16 0 2.688 0.000 1
#> 837 9 9 0 2.688 0.000 1
#> 838 10 16 6 2.688 2.232 0.026
#> 839 10 11 1 2.688 0.372 0.71
#> 840 16 17 1 2.688 0.372 0.71
#> 841 15 15 0 2.688 0.000 1
#> 842 13 13 0 2.688 0.000 1
#> 843 15 16 1 2.688 0.372 0.71
#> 844 10 7 -3 2.688 -1.116 0.264
#> 845 12 9 -3 2.688 -1.116 0.264
#> 846 12 12 0 2.688 0.000 1
#> 847 8 7 -1 2.688 -0.372 0.71
#> 848 7 3 -4 2.688 -1.488 0.137
#> 849 5 5 0 2.688 0.000 1
#> 850 19 16 -3 2.688 -1.116 0.264
#> 851 15 15 0 2.688 0.000 1
#> 852 13 8 -5 2.688 -1.860 0.063
#> 853 9 10 1 2.688 0.372 0.71
#> 854 8 8 0 2.688 0.000 1
#> 855 9 9 0 2.688 0.000 1
#> 856 12 13 1 2.688 0.372 0.71
#> 857 10 7 -3 2.688 -1.116 0.264
#> 858 13 10 -3 2.688 -1.116 0.264
#> 859 10 9 -1 2.688 -0.372 0.71
#> 860 5 8 3 2.688 1.116 0.264
#> 861 5 3 -2 2.688 -0.744 0.457
#> 862 13 14 1 2.688 0.372 0.71
#> 863 3 6 3 2.688 1.116 0.264
#> 864 8 4 -4 2.688 -1.488 0.137
#> 865 10 13 3 2.688 1.116 0.264
#> 866 12 12 0 2.688 0.000 1
#> 867 9 10 1 2.688 0.372 0.71
#> 868 11 13 2 2.688 0.744 0.457
#> 869 10 7 -3 2.688 -1.116 0.264
#> 870 13 13 0 2.688 0.000 1
#> 871 14 13 -1 2.688 -0.372 0.71
#> 872 8 10 2 2.688 0.744 0.457
#> 873 1 1 0 2.688 0.000 1
#> 874 7 13 6 2.688 2.232 0.026
#> 875 14 16 2 2.688 0.744 0.457
#> 876 9 8 -1 2.688 -0.372 0.71
#> 877 16 16 0 2.688 0.000 1
#> 878 14 15 1 2.688 0.372 0.71
#> 879 8 10 2 2.688 0.744 0.457
#> 880 6 2 -4 2.688 -1.488 0.137
#> 881 5 2 -3 2.688 -1.116 0.264
#> 882 6 10 4 2.688 1.488 0.137
#> 883 11 11 0 2.688 0.000 1
#> 884 6 5 -1 2.688 -0.372 0.71
#> 885 14 14 0 2.688 0.000 1
#> 886 3 7 4 2.688 1.488 0.137
#> 887 3 9 6 2.688 2.232 0.026
#> 888 10 7 -3 2.688 -1.116 0.264
#> 889 2 6 4 2.688 1.488 0.137
#> 890 15 11 -4 2.688 -1.488 0.137
#> 891 10 6 -4 2.688 -1.488 0.137
#> 892 10 10 0 2.688 0.000 1
#> 893 17 16 -1 2.688 -0.372 0.71
#> 894 11 12 1 2.688 0.372 0.71
#> 895 9 11 2 2.688 0.744 0.457
#> 896 15 13 -2 2.688 -0.744 0.457
#> 897 17 16 -1 2.688 -0.372 0.71
#> 898 7 9 2 2.688 0.744 0.457
#> 899 10 8 -2 2.688 -0.744 0.457
#> 900 6 5 -1 2.688 -0.372 0.71
#> 901 7 6 -1 2.688 -0.372 0.71
#> 902 16 19 3 2.688 1.116 0.264
#> 903 16 19 3 2.688 1.116 0.264
#> 904 12 9 -3 2.688 -1.116 0.264
#> 905 6 7 1 2.688 0.372 0.71
#> 906 19 20 1 2.688 0.372 0.71
#> 907 15 11 -4 2.688 -1.488 0.137
#> 908 10 5 -5 2.688 -1.860 0.063
#> 909 2 0 -2 2.688 -0.744 0.457
#> 910 18 10 -8 2.688 -2.976 0.003
#> 911 2 0 -2 2.688 -0.744 0.457
#> 912 20 17 -3 2.688 -1.116 0.264
#> 913 4 2 -2 2.688 -0.744 0.457
#> 914 16 17 1 2.688 0.372 0.71
#> 915 14 15 1 2.688 0.372 0.71
#> 916 18 13 -5 2.688 -1.860 0.063
#> 917 16 17 1 2.688 0.372 0.71
#> 918 15 18 3 2.688 1.116 0.264
#> 919 13 10 -3 2.688 -1.116 0.264
#> 920 11 8 -3 2.688 -1.116 0.264
#> 921 4 2 -2 2.688 -0.744 0.457
#> 922 6 10 4 2.688 1.488 0.137
#> 923 12 11 -1 2.688 -0.372 0.71
#> 924 18 18 0 2.688 0.000 1
#> 925 5 5 0 2.688 0.000 1
#> 926 19 19 0 2.688 0.000 1
#> 927 7 5 -2 2.688 -0.744 0.457
#> 928 9 3 -6 2.688 -2.232 0.026
#> 929 15 19 4 2.688 1.488 0.137
#> 930 15 9 -6 2.688 -2.232 0.026
#> 931 11 11 0 2.688 0.000 1
#> 932 12 10 -2 2.688 -0.744 0.457
#> 933 12 13 1 2.688 0.372 0.71
#> 934 9 6 -3 2.688 -1.116 0.264
#> 935 14 14 0 2.688 0.000 1
#> 936 6 7 1 2.688 0.372 0.71
#> 937 6 6 0 2.688 0.000 1
#> 938 8 10 2 2.688 0.744 0.457
#> 939 3 2 -1 2.688 -0.372 0.71
#> 940 11 10 -1 2.688 -0.372 0.71
#> 941 12 15 3 2.688 1.116 0.264
#> 942 13 14 1 2.688 0.372 0.71
#> 943 12 8 -4 2.688 -1.488 0.137
#> 944 15 13 -2 2.688 -0.744 0.457
#> 945 11 12 1 2.688 0.372 0.71
#> 946 11 11 0 2.688 0.000 1
#> 947 11 10 -1 2.688 -0.372 0.71
#> 948 10 13 3 2.688 1.116 0.264
#> 949 1 2 1 2.688 0.372 0.71
#> 950 7 12 5 2.688 1.860 0.063
#> 951 8 6 -2 2.688 -0.744 0.457
#> 952 15 12 -3 2.688 -1.116 0.264
#> 953 7 4 -3 2.688 -1.116 0.264
#> 954 2 6 4 2.688 1.488 0.137
#> 955 6 5 -1 2.688 -0.372 0.71
#> 956 3 3 0 2.688 0.000 1
#> 957 5 5 0 2.688 0.000 1
#> 958 6 6 0 2.688 0.000 1
#> 959 13 17 4 2.688 1.488 0.137
#> 960 6 7 1 2.688 0.372 0.71
#> 961 3 2 -1 2.688 -0.372 0.71
#> 962 12 11 -1 2.688 -0.372 0.71
#> 963 6 4 -2 2.688 -0.744 0.457
#> 964 17 12 -5 2.688 -1.860 0.063
#> 965 5 7 2 2.688 0.744 0.457
#> 966 13 16 3 2.688 1.116 0.264
#> 967 15 16 1 2.688 0.372 0.71
#> 968 12 9 -3 2.688 -1.116 0.264
#> 969 15 13 -2 2.688 -0.744 0.457
#> 970 14 16 2 2.688 0.744 0.457
#> 971 6 7 1 2.688 0.372 0.71
#> 972 16 16 0 2.688 0.000 1
#> 973 3 1 -2 2.688 -0.744 0.457
#> 974 5 5 0 2.688 0.000 1
#> 975 7 3 -4 2.688 -1.488 0.137
#> 976 13 13 0 2.688 0.000 1
#> 977 10 12 2 2.688 0.744 0.457
#> 978 2 4 2 2.688 0.744 0.457
#> 979 2 9 7 2.688 2.604 0.009
#> 980 10 9 -1 2.688 -0.372 0.71
#> 981 4 1 -3 2.688 -1.116 0.264
#> 982 7 4 -3 2.688 -1.116 0.264
#> 983 17 12 -5 2.688 -1.860 0.063
#> 984 18 16 -2 2.688 -0.744 0.457
#> 985 16 11 -5 2.688 -1.860 0.063
#> 986 5 3 -2 2.688 -0.744 0.457
#> 987 13 14 1 2.688 0.372 0.71
#> 988 11 8 -3 2.688 -1.116 0.264
#> 989 2 12 10 2.688 3.721 0
#> 990 9 11 2 2.688 0.744 0.457
#> 991 11 6 -5 2.688 -1.860 0.063
#> 992 11 10 -1 2.688 -0.372 0.71
#> 993 8 6 -2 2.688 -0.744 0.457
#> 994 1 4 3 2.688 1.116 0.264
#> 995 10 7 -3 2.688 -1.116 0.264
#> 996 11 5 -6 2.688 -2.232 0.026
#> 997 7 6 -1 2.688 -0.372 0.71
#> 998 10 12 2 2.688 0.744 0.457
#> 999 11 7 -4 2.688 -1.488 0.137
#> 1000 1 2 1 2.688 0.372 0.71
# include cutoffs
RCI(predat = dat_pre, postdat = dat_post, SEM.pre=SEM.alpha,
cutoffs=c(-1.96, 1.96))
#> pre.score post.score diff SE z p cut_decision
#> 1 18 19 1 2.688 0.372 0.71 unchanged
#> 2 18 9 -9 2.688 -3.349 0.001 decreased
#> 3 15 9 -6 2.688 -2.232 0.026 decreased
#> 4 11 10 -1 2.688 -0.372 0.71 unchanged
#> 5 4 5 1 2.688 0.372 0.71 unchanged
#> 6 4 8 4 2.688 1.488 0.137 unchanged
#> 7 11 8 -3 2.688 -1.116 0.264 unchanged
#> 8 11 15 4 2.688 1.488 0.137 unchanged
#> 9 3 3 0 2.688 0.000 1 unchanged
#> 10 4 8 4 2.688 1.488 0.137 unchanged
#> 11 1 5 4 2.688 1.488 0.137 unchanged
#> 12 16 14 -2 2.688 -0.744 0.457 unchanged
#> 13 12 10 -2 2.688 -0.744 0.457 unchanged
#> 14 11 10 -1 2.688 -0.372 0.71 unchanged
#> 15 17 18 1 2.688 0.372 0.71 unchanged
#> 16 1 4 3 2.688 1.116 0.264 unchanged
#> 17 10 8 -2 2.688 -0.744 0.457 unchanged
#> 18 12 11 -1 2.688 -0.372 0.71 unchanged
#> 19 15 12 -3 2.688 -1.116 0.264 unchanged
#> 20 16 10 -6 2.688 -2.232 0.026 decreased
#> 21 7 6 -1 2.688 -0.372 0.71 unchanged
#> 22 7 12 5 2.688 1.860 0.063 unchanged
#> 23 2 4 2 2.688 0.744 0.457 unchanged
#> 24 5 7 2 2.688 0.744 0.457 unchanged
#> 25 14 15 1 2.688 0.372 0.71 unchanged
#> 26 9 6 -3 2.688 -1.116 0.264 unchanged
#> 27 17 17 0 2.688 0.000 1 unchanged
#> 28 4 9 5 2.688 1.860 0.063 unchanged
#> 29 14 16 2 2.688 0.744 0.457 unchanged
#> 30 4 7 3 2.688 1.116 0.264 unchanged
#> 31 2 0 -2 2.688 -0.744 0.457 unchanged
#> 32 9 6 -3 2.688 -1.116 0.264 unchanged
#> 33 20 20 0 2.688 0.000 1 unchanged
#> 34 9 6 -3 2.688 -1.116 0.264 unchanged
#> 35 3 4 1 2.688 0.372 0.71 unchanged
#> 36 14 15 1 2.688 0.372 0.71 unchanged
#> 37 8 9 1 2.688 0.372 0.71 unchanged
#> 38 15 13 -2 2.688 -0.744 0.457 unchanged
#> 39 9 12 3 2.688 1.116 0.264 unchanged
#> 40 18 18 0 2.688 0.000 1 unchanged
#> 41 11 10 -1 2.688 -0.372 0.71 unchanged
#> 42 12 9 -3 2.688 -1.116 0.264 unchanged
#> 43 8 7 -1 2.688 -0.372 0.71 unchanged
#> 44 10 11 1 2.688 0.372 0.71 unchanged
#> 45 7 10 3 2.688 1.116 0.264 unchanged
#> 46 8 9 1 2.688 0.372 0.71 unchanged
#> 47 6 8 2 2.688 0.744 0.457 unchanged
#> 48 6 7 1 2.688 0.372 0.71 unchanged
#> 49 6 8 2 2.688 0.744 0.457 unchanged
#> 50 8 11 3 2.688 1.116 0.264 unchanged
#> 51 13 17 4 2.688 1.488 0.137 unchanged
#> 52 6 6 0 2.688 0.000 1 unchanged
#> 53 19 13 -6 2.688 -2.232 0.026 decreased
#> 54 6 11 5 2.688 1.860 0.063 unchanged
#> 55 9 8 -1 2.688 -0.372 0.71 unchanged
#> 56 7 8 1 2.688 0.372 0.71 unchanged
#> 57 9 6 -3 2.688 -1.116 0.264 unchanged
#> 58 3 3 0 2.688 0.000 1 unchanged
#> 59 10 8 -2 2.688 -0.744 0.457 unchanged
#> 60 14 14 0 2.688 0.000 1 unchanged
#> 61 12 12 0 2.688 0.000 1 unchanged
#> 62 15 14 -1 2.688 -0.372 0.71 unchanged
#> 63 13 12 -1 2.688 -0.372 0.71 unchanged
#> 64 5 5 0 2.688 0.000 1 unchanged
#> 65 5 4 -1 2.688 -0.372 0.71 unchanged
#> 66 5 4 -1 2.688 -0.372 0.71 unchanged
#> 67 18 14 -4 2.688 -1.488 0.137 unchanged
#> 68 9 8 -1 2.688 -0.372 0.71 unchanged
#> 69 11 9 -2 2.688 -0.744 0.457 unchanged
#> 70 19 17 -2 2.688 -0.744 0.457 unchanged
#> 71 9 5 -4 2.688 -1.488 0.137 unchanged
#> 72 16 15 -1 2.688 -0.372 0.71 unchanged
#> 73 10 9 -1 2.688 -0.372 0.71 unchanged
#> 74 11 11 0 2.688 0.000 1 unchanged
#> 75 14 10 -4 2.688 -1.488 0.137 unchanged
#> 76 14 15 1 2.688 0.372 0.71 unchanged
#> 77 5 4 -1 2.688 -0.372 0.71 unchanged
#> 78 11 9 -2 2.688 -0.744 0.457 unchanged
#> 79 15 10 -5 2.688 -1.860 0.063 unchanged
#> 80 11 11 0 2.688 0.000 1 unchanged
#> 81 10 8 -2 2.688 -0.744 0.457 unchanged
#> 82 12 12 0 2.688 0.000 1 unchanged
#> 83 11 11 0 2.688 0.000 1 unchanged
#> 84 5 1 -4 2.688 -1.488 0.137 unchanged
#> 85 7 9 2 2.688 0.744 0.457 unchanged
#> 86 7 10 3 2.688 1.116 0.264 unchanged
#> 87 3 7 4 2.688 1.488 0.137 unchanged
#> 88 9 11 2 2.688 0.744 0.457 unchanged
#> 89 8 9 1 2.688 0.372 0.71 unchanged
#> 90 12 11 -1 2.688 -0.372 0.71 unchanged
#> 91 6 1 -5 2.688 -1.860 0.063 unchanged
#> 92 6 8 2 2.688 0.744 0.457 unchanged
#> 93 3 5 2 2.688 0.744 0.457 unchanged
#> 94 12 12 0 2.688 0.000 1 unchanged
#> 95 18 16 -2 2.688 -0.744 0.457 unchanged
#> 96 9 7 -2 2.688 -0.744 0.457 unchanged
#> 97 8 11 3 2.688 1.116 0.264 unchanged
#> 98 7 7 0 2.688 0.000 1 unchanged
#> 99 12 11 -1 2.688 -0.372 0.71 unchanged
#> 100 10 10 0 2.688 0.000 1 unchanged
#> 101 5 5 0 2.688 0.000 1 unchanged
#> 102 14 15 1 2.688 0.372 0.71 unchanged
#> 103 9 9 0 2.688 0.000 1 unchanged
#> 104 8 15 7 2.688 2.604 0.009 increased
#> 105 2 3 1 2.688 0.372 0.71 unchanged
#> 106 7 10 3 2.688 1.116 0.264 unchanged
#> 107 12 12 0 2.688 0.000 1 unchanged
#> 108 2 2 0 2.688 0.000 1 unchanged
#> 109 14 13 -1 2.688 -0.372 0.71 unchanged
#> 110 6 4 -2 2.688 -0.744 0.457 unchanged
#> 111 15 10 -5 2.688 -1.860 0.063 unchanged
#> 112 5 5 0 2.688 0.000 1 unchanged
#> 113 15 18 3 2.688 1.116 0.264 unchanged
#> 114 2 0 -2 2.688 -0.744 0.457 unchanged
#> 115 9 12 3 2.688 1.116 0.264 unchanged
#> 116 14 14 0 2.688 0.000 1 unchanged
#> 117 10 7 -3 2.688 -1.116 0.264 unchanged
#> 118 6 5 -1 2.688 -0.372 0.71 unchanged
#> 119 12 9 -3 2.688 -1.116 0.264 unchanged
#> 120 7 3 -4 2.688 -1.488 0.137 unchanged
#> 121 9 12 3 2.688 1.116 0.264 unchanged
#> 122 2 6 4 2.688 1.488 0.137 unchanged
#> 123 9 6 -3 2.688 -1.116 0.264 unchanged
#> 124 2 5 3 2.688 1.116 0.264 unchanged
#> 125 12 12 0 2.688 0.000 1 unchanged
#> 126 16 19 3 2.688 1.116 0.264 unchanged
#> 127 13 14 1 2.688 0.372 0.71 unchanged
#> 128 13 14 1 2.688 0.372 0.71 unchanged
#> 129 14 15 1 2.688 0.372 0.71 unchanged
#> 130 7 14 7 2.688 2.604 0.009 increased
#> 131 10 11 1 2.688 0.372 0.71 unchanged
#> 132 3 3 0 2.688 0.000 1 unchanged
#> 133 15 15 0 2.688 0.000 1 unchanged
#> 134 18 19 1 2.688 0.372 0.71 unchanged
#> 135 2 5 3 2.688 1.116 0.264 unchanged
#> 136 12 10 -2 2.688 -0.744 0.457 unchanged
#> 137 12 14 2 2.688 0.744 0.457 unchanged
#> 138 6 3 -3 2.688 -1.116 0.264 unchanged
#> 139 13 9 -4 2.688 -1.488 0.137 unchanged
#> 140 8 5 -3 2.688 -1.116 0.264 unchanged
#> 141 18 17 -1 2.688 -0.372 0.71 unchanged
#> 142 15 15 0 2.688 0.000 1 unchanged
#> 143 7 9 2 2.688 0.744 0.457 unchanged
#> 144 14 10 -4 2.688 -1.488 0.137 unchanged
#> 145 3 5 2 2.688 0.744 0.457 unchanged
#> 146 1 2 1 2.688 0.372 0.71 unchanged
#> 147 5 6 1 2.688 0.372 0.71 unchanged
#> 148 8 8 0 2.688 0.000 1 unchanged
#> 149 13 15 2 2.688 0.744 0.457 unchanged
#> 150 9 9 0 2.688 0.000 1 unchanged
#> 151 8 9 1 2.688 0.372 0.71 unchanged
#> 152 2 1 -1 2.688 -0.372 0.71 unchanged
#> 153 3 3 0 2.688 0.000 1 unchanged
#> 154 7 5 -2 2.688 -0.744 0.457 unchanged
#> 155 16 13 -3 2.688 -1.116 0.264 unchanged
#> 156 9 12 3 2.688 1.116 0.264 unchanged
#> 157 15 17 2 2.688 0.744 0.457 unchanged
#> 158 10 5 -5 2.688 -1.860 0.063 unchanged
#> 159 8 10 2 2.688 0.744 0.457 unchanged
#> 160 17 11 -6 2.688 -2.232 0.026 decreased
#> 161 14 8 -6 2.688 -2.232 0.026 decreased
#> 162 8 8 0 2.688 0.000 1 unchanged
#> 163 3 5 2 2.688 0.744 0.457 unchanged
#> 164 16 8 -8 2.688 -2.976 0.003 decreased
#> 165 9 7 -2 2.688 -0.744 0.457 unchanged
#> 166 7 8 1 2.688 0.372 0.71 unchanged
#> 167 15 15 0 2.688 0.000 1 unchanged
#> 168 15 18 3 2.688 1.116 0.264 unchanged
#> 169 3 2 -1 2.688 -0.372 0.71 unchanged
#> 170 1 2 1 2.688 0.372 0.71 unchanged
#> 171 2 0 -2 2.688 -0.744 0.457 unchanged
#> 172 20 15 -5 2.688 -1.860 0.063 unchanged
#> 173 10 12 2 2.688 0.744 0.457 unchanged
#> 174 9 3 -6 2.688 -2.232 0.026 decreased
#> 175 5 15 10 2.688 3.721 0 increased
#> 176 9 7 -2 2.688 -0.744 0.457 unchanged
#> 177 15 16 1 2.688 0.372 0.71 unchanged
#> 178 2 5 3 2.688 1.116 0.264 unchanged
#> 179 18 20 2 2.688 0.744 0.457 unchanged
#> 180 10 8 -2 2.688 -0.744 0.457 unchanged
#> 181 6 6 0 2.688 0.000 1 unchanged
#> 182 3 5 2 2.688 0.744 0.457 unchanged
#> 183 9 7 -2 2.688 -0.744 0.457 unchanged
#> 184 7 10 3 2.688 1.116 0.264 unchanged
#> 185 6 3 -3 2.688 -1.116 0.264 unchanged
#> 186 7 5 -2 2.688 -0.744 0.457 unchanged
#> 187 7 4 -3 2.688 -1.116 0.264 unchanged
#> 188 10 9 -1 2.688 -0.372 0.71 unchanged
#> 189 17 12 -5 2.688 -1.860 0.063 unchanged
#> 190 2 4 2 2.688 0.744 0.457 unchanged
#> 191 16 15 -1 2.688 -0.372 0.71 unchanged
#> 192 6 9 3 2.688 1.116 0.264 unchanged
#> 193 10 13 3 2.688 1.116 0.264 unchanged
#> 194 2 7 5 2.688 1.860 0.063 unchanged
#> 195 5 3 -2 2.688 -0.744 0.457 unchanged
#> 196 12 8 -4 2.688 -1.488 0.137 unchanged
#> 197 5 1 -4 2.688 -1.488 0.137 unchanged
#> 198 5 2 -3 2.688 -1.116 0.264 unchanged
#> 199 17 17 0 2.688 0.000 1 unchanged
#> 200 4 2 -2 2.688 -0.744 0.457 unchanged
#> 201 13 13 0 2.688 0.000 1 unchanged
#> 202 14 12 -2 2.688 -0.744 0.457 unchanged
#> 203 2 2 0 2.688 0.000 1 unchanged
#> 204 11 9 -2 2.688 -0.744 0.457 unchanged
#> 205 10 11 1 2.688 0.372 0.71 unchanged
#> 206 13 11 -2 2.688 -0.744 0.457 unchanged
#> 207 17 18 1 2.688 0.372 0.71 unchanged
#> 208 14 15 1 2.688 0.372 0.71 unchanged
#> 209 18 18 0 2.688 0.000 1 unchanged
#> 210 2 0 -2 2.688 -0.744 0.457 unchanged
#> 211 9 11 2 2.688 0.744 0.457 unchanged
#> 212 10 12 2 2.688 0.744 0.457 unchanged
#> 213 16 14 -2 2.688 -0.744 0.457 unchanged
#> 214 2 2 0 2.688 0.000 1 unchanged
#> 215 3 4 1 2.688 0.372 0.71 unchanged
#> 216 15 17 2 2.688 0.744 0.457 unchanged
#> 217 14 12 -2 2.688 -0.744 0.457 unchanged
#> 218 3 5 2 2.688 0.744 0.457 unchanged
#> 219 9 8 -1 2.688 -0.372 0.71 unchanged
#> 220 0 1 1 2.688 0.372 0.71 unchanged
#> 221 14 12 -2 2.688 -0.744 0.457 unchanged
#> 222 2 1 -1 2.688 -0.372 0.71 unchanged
#> 223 5 10 5 2.688 1.860 0.063 unchanged
#> 224 8 15 7 2.688 2.604 0.009 increased
#> 225 12 14 2 2.688 0.744 0.457 unchanged
#> 226 14 14 0 2.688 0.000 1 unchanged
#> 227 11 11 0 2.688 0.000 1 unchanged
#> 228 9 9 0 2.688 0.000 1 unchanged
#> 229 17 15 -2 2.688 -0.744 0.457 unchanged
#> 230 2 2 0 2.688 0.000 1 unchanged
#> 231 6 9 3 2.688 1.116 0.264 unchanged
#> 232 9 14 5 2.688 1.860 0.063 unchanged
#> 233 13 13 0 2.688 0.000 1 unchanged
#> 234 13 17 4 2.688 1.488 0.137 unchanged
#> 235 13 6 -7 2.688 -2.604 0.009 decreased
#> 236 8 8 0 2.688 0.000 1 unchanged
#> 237 8 9 1 2.688 0.372 0.71 unchanged
#> 238 6 12 6 2.688 2.232 0.026 increased
#> 239 9 9 0 2.688 0.000 1 unchanged
#> 240 7 12 5 2.688 1.860 0.063 unchanged
#> 241 18 18 0 2.688 0.000 1 unchanged
#> 242 4 3 -1 2.688 -0.372 0.71 unchanged
#> 243 1 2 1 2.688 0.372 0.71 unchanged
#> 244 3 1 -2 2.688 -0.744 0.457 unchanged
#> 245 6 5 -1 2.688 -0.372 0.71 unchanged
#> 246 4 4 0 2.688 0.000 1 unchanged
#> 247 17 17 0 2.688 0.000 1 unchanged
#> 248 20 18 -2 2.688 -0.744 0.457 unchanged
#> 249 8 10 2 2.688 0.744 0.457 unchanged
#> 250 15 18 3 2.688 1.116 0.264 unchanged
#> 251 15 13 -2 2.688 -0.744 0.457 unchanged
#> 252 8 8 0 2.688 0.000 1 unchanged
#> 253 8 8 0 2.688 0.000 1 unchanged
#> 254 11 13 2 2.688 0.744 0.457 unchanged
#> 255 18 16 -2 2.688 -0.744 0.457 unchanged
#> 256 10 11 1 2.688 0.372 0.71 unchanged
#> 257 18 16 -2 2.688 -0.744 0.457 unchanged
#> 258 10 11 1 2.688 0.372 0.71 unchanged
#> 259 4 3 -1 2.688 -0.372 0.71 unchanged
#> 260 11 14 3 2.688 1.116 0.264 unchanged
#> 261 14 11 -3 2.688 -1.116 0.264 unchanged
#> 262 14 13 -1 2.688 -0.372 0.71 unchanged
#> 263 19 17 -2 2.688 -0.744 0.457 unchanged
#> 264 4 6 2 2.688 0.744 0.457 unchanged
#> 265 17 17 0 2.688 0.000 1 unchanged
#> 266 9 12 3 2.688 1.116 0.264 unchanged
#> 267 4 7 3 2.688 1.116 0.264 unchanged
#> 268 15 12 -3 2.688 -1.116 0.264 unchanged
#> 269 7 7 0 2.688 0.000 1 unchanged
#> 270 8 11 3 2.688 1.116 0.264 unchanged
#> 271 1 2 1 2.688 0.372 0.71 unchanged
#> 272 8 6 -2 2.688 -0.744 0.457 unchanged
#> 273 6 6 0 2.688 0.000 1 unchanged
#> 274 17 16 -1 2.688 -0.372 0.71 unchanged
#> 275 13 11 -2 2.688 -0.744 0.457 unchanged
#> 276 2 1 -1 2.688 -0.372 0.71 unchanged
#> 277 9 10 1 2.688 0.372 0.71 unchanged
#> 278 2 0 -2 2.688 -0.744 0.457 unchanged
#> 279 11 13 2 2.688 0.744 0.457 unchanged
#> 280 17 17 0 2.688 0.000 1 unchanged
#> 281 16 16 0 2.688 0.000 1 unchanged
#> 282 14 15 1 2.688 0.372 0.71 unchanged
#> 283 15 16 1 2.688 0.372 0.71 unchanged
#> 284 4 1 -3 2.688 -1.116 0.264 unchanged
#> 285 17 18 1 2.688 0.372 0.71 unchanged
#> 286 10 7 -3 2.688 -1.116 0.264 unchanged
#> 287 12 15 3 2.688 1.116 0.264 unchanged
#> 288 15 17 2 2.688 0.744 0.457 unchanged
#> 289 17 15 -2 2.688 -0.744 0.457 unchanged
#> 290 14 11 -3 2.688 -1.116 0.264 unchanged
#> 291 15 12 -3 2.688 -1.116 0.264 unchanged
#> 292 10 10 0 2.688 0.000 1 unchanged
#> 293 0 2 2 2.688 0.744 0.457 unchanged
#> 294 12 8 -4 2.688 -1.488 0.137 unchanged
#> 295 4 7 3 2.688 1.116 0.264 unchanged
#> 296 15 15 0 2.688 0.000 1 unchanged
#> 297 18 17 -1 2.688 -0.372 0.71 unchanged
#> 298 9 7 -2 2.688 -0.744 0.457 unchanged
#> 299 18 12 -6 2.688 -2.232 0.026 decreased
#> 300 0 1 1 2.688 0.372 0.71 unchanged
#> 301 4 11 7 2.688 2.604 0.009 increased
#> 302 10 8 -2 2.688 -0.744 0.457 unchanged
#> 303 5 2 -3 2.688 -1.116 0.264 unchanged
#> 304 19 17 -2 2.688 -0.744 0.457 unchanged
#> 305 11 6 -5 2.688 -1.860 0.063 unchanged
#> 306 15 15 0 2.688 0.000 1 unchanged
#> 307 10 12 2 2.688 0.744 0.457 unchanged
#> 308 11 8 -3 2.688 -1.116 0.264 unchanged
#> 309 10 7 -3 2.688 -1.116 0.264 unchanged
#> 310 8 6 -2 2.688 -0.744 0.457 unchanged
#> 311 14 15 1 2.688 0.372 0.71 unchanged
#> 312 16 11 -5 2.688 -1.860 0.063 unchanged
#> 313 6 4 -2 2.688 -0.744 0.457 unchanged
#> 314 11 11 0 2.688 0.000 1 unchanged
#> 315 7 7 0 2.688 0.000 1 unchanged
#> 316 9 11 2 2.688 0.744 0.457 unchanged
#> 317 7 11 4 2.688 1.488 0.137 unchanged
#> 318 1 5 4 2.688 1.488 0.137 unchanged
#> 319 10 9 -1 2.688 -0.372 0.71 unchanged
#> 320 13 10 -3 2.688 -1.116 0.264 unchanged
#> 321 13 10 -3 2.688 -1.116 0.264 unchanged
#> 322 13 9 -4 2.688 -1.488 0.137 unchanged
#> 323 1 2 1 2.688 0.372 0.71 unchanged
#> 324 13 13 0 2.688 0.000 1 unchanged
#> 325 13 13 0 2.688 0.000 1 unchanged
#> 326 13 13 0 2.688 0.000 1 unchanged
#> 327 7 6 -1 2.688 -0.372 0.71 unchanged
#> 328 9 12 3 2.688 1.116 0.264 unchanged
#> 329 13 13 0 2.688 0.000 1 unchanged
#> 330 6 14 8 2.688 2.976 0.003 increased
#> 331 12 14 2 2.688 0.744 0.457 unchanged
#> 332 9 5 -4 2.688 -1.488 0.137 unchanged
#> 333 13 12 -1 2.688 -0.372 0.71 unchanged
#> 334 13 14 1 2.688 0.372 0.71 unchanged
#> 335 9 11 2 2.688 0.744 0.457 unchanged
#> 336 10 9 -1 2.688 -0.372 0.71 unchanged
#> 337 12 13 1 2.688 0.372 0.71 unchanged
#> 338 16 14 -2 2.688 -0.744 0.457 unchanged
#> 339 6 10 4 2.688 1.488 0.137 unchanged
#> 340 17 15 -2 2.688 -0.744 0.457 unchanged
#> 341 12 14 2 2.688 0.744 0.457 unchanged
#> 342 6 5 -1 2.688 -0.372 0.71 unchanged
#> 343 5 9 4 2.688 1.488 0.137 unchanged
#> 344 5 4 -1 2.688 -0.372 0.71 unchanged
#> 345 6 9 3 2.688 1.116 0.264 unchanged
#> 346 12 8 -4 2.688 -1.488 0.137 unchanged
#> 347 12 13 1 2.688 0.372 0.71 unchanged
#> 348 8 11 3 2.688 1.116 0.264 unchanged
#> 349 5 6 1 2.688 0.372 0.71 unchanged
#> 350 11 12 1 2.688 0.372 0.71 unchanged
#> 351 9 7 -2 2.688 -0.744 0.457 unchanged
#> 352 18 16 -2 2.688 -0.744 0.457 unchanged
#> 353 9 11 2 2.688 0.744 0.457 unchanged
#> 354 4 3 -1 2.688 -0.372 0.71 unchanged
#> 355 12 17 5 2.688 1.860 0.063 unchanged
#> 356 16 15 -1 2.688 -0.372 0.71 unchanged
#> 357 9 13 4 2.688 1.488 0.137 unchanged
#> 358 10 7 -3 2.688 -1.116 0.264 unchanged
#> 359 1 3 2 2.688 0.744 0.457 unchanged
#> 360 10 12 2 2.688 0.744 0.457 unchanged
#> 361 5 5 0 2.688 0.000 1 unchanged
#> 362 13 15 2 2.688 0.744 0.457 unchanged
#> 363 9 12 3 2.688 1.116 0.264 unchanged
#> 364 13 14 1 2.688 0.372 0.71 unchanged
#> 365 9 5 -4 2.688 -1.488 0.137 unchanged
#> 366 17 17 0 2.688 0.000 1 unchanged
#> 367 4 2 -2 2.688 -0.744 0.457 unchanged
#> 368 12 9 -3 2.688 -1.116 0.264 unchanged
#> 369 3 10 7 2.688 2.604 0.009 increased
#> 370 12 12 0 2.688 0.000 1 unchanged
#> 371 14 18 4 2.688 1.488 0.137 unchanged
#> 372 10 11 1 2.688 0.372 0.71 unchanged
#> 373 7 9 2 2.688 0.744 0.457 unchanged
#> 374 4 6 2 2.688 0.744 0.457 unchanged
#> 375 10 5 -5 2.688 -1.860 0.063 unchanged
#> 376 16 14 -2 2.688 -0.744 0.457 unchanged
#> 377 15 15 0 2.688 0.000 1 unchanged
#> 378 13 12 -1 2.688 -0.372 0.71 unchanged
#> 379 0 3 3 2.688 1.116 0.264 unchanged
#> 380 7 8 1 2.688 0.372 0.71 unchanged
#> 381 6 7 1 2.688 0.372 0.71 unchanged
#> 382 6 6 0 2.688 0.000 1 unchanged
#> 383 6 8 2 2.688 0.744 0.457 unchanged
#> 384 4 4 0 2.688 0.000 1 unchanged
#> 385 3 4 1 2.688 0.372 0.71 unchanged
#> 386 2 7 5 2.688 1.860 0.063 unchanged
#> 387 9 9 0 2.688 0.000 1 unchanged
#> 388 19 14 -5 2.688 -1.860 0.063 unchanged
#> 389 3 6 3 2.688 1.116 0.264 unchanged
#> 390 0 2 2 2.688 0.744 0.457 unchanged
#> 391 15 14 -1 2.688 -0.372 0.71 unchanged
#> 392 11 4 -7 2.688 -2.604 0.009 decreased
#> 393 5 6 1 2.688 0.372 0.71 unchanged
#> 394 2 1 -1 2.688 -0.372 0.71 unchanged
#> 395 7 13 6 2.688 2.232 0.026 increased
#> 396 13 11 -2 2.688 -0.744 0.457 unchanged
#> 397 15 14 -1 2.688 -0.372 0.71 unchanged
#> 398 2 4 2 2.688 0.744 0.457 unchanged
#> 399 13 6 -7 2.688 -2.604 0.009 decreased
#> 400 15 9 -6 2.688 -2.232 0.026 decreased
#> 401 7 8 1 2.688 0.372 0.71 unchanged
#> 402 3 3 0 2.688 0.000 1 unchanged
#> 403 9 12 3 2.688 1.116 0.264 unchanged
#> 404 17 17 0 2.688 0.000 1 unchanged
#> 405 1 4 3 2.688 1.116 0.264 unchanged
#> 406 4 2 -2 2.688 -0.744 0.457 unchanged
#> 407 7 10 3 2.688 1.116 0.264 unchanged
#> 408 7 11 4 2.688 1.488 0.137 unchanged
#> 409 12 12 0 2.688 0.000 1 unchanged
#> 410 8 6 -2 2.688 -0.744 0.457 unchanged
#> 411 8 4 -4 2.688 -1.488 0.137 unchanged
#> 412 14 11 -3 2.688 -1.116 0.264 unchanged
#> 413 5 3 -2 2.688 -0.744 0.457 unchanged
#> 414 16 17 1 2.688 0.372 0.71 unchanged
#> 415 11 15 4 2.688 1.488 0.137 unchanged
#> 416 15 12 -3 2.688 -1.116 0.264 unchanged
#> 417 14 15 1 2.688 0.372 0.71 unchanged
#> 418 5 6 1 2.688 0.372 0.71 unchanged
#> 419 5 10 5 2.688 1.860 0.063 unchanged
#> 420 10 13 3 2.688 1.116 0.264 unchanged
#> 421 3 2 -1 2.688 -0.372 0.71 unchanged
#> 422 17 17 0 2.688 0.000 1 unchanged
#> 423 11 11 0 2.688 0.000 1 unchanged
#> 424 14 13 -1 2.688 -0.372 0.71 unchanged
#> 425 16 9 -7 2.688 -2.604 0.009 decreased
#> 426 15 16 1 2.688 0.372 0.71 unchanged
#> 427 11 7 -4 2.688 -1.488 0.137 unchanged
#> 428 8 11 3 2.688 1.116 0.264 unchanged
#> 429 13 13 0 2.688 0.000 1 unchanged
#> 430 10 10 0 2.688 0.000 1 unchanged
#> 431 15 14 -1 2.688 -0.372 0.71 unchanged
#> 432 1 4 3 2.688 1.116 0.264 unchanged
#> 433 3 3 0 2.688 0.000 1 unchanged
#> 434 11 15 4 2.688 1.488 0.137 unchanged
#> 435 3 4 1 2.688 0.372 0.71 unchanged
#> 436 6 11 5 2.688 1.860 0.063 unchanged
#> 437 2 0 -2 2.688 -0.744 0.457 unchanged
#> 438 13 14 1 2.688 0.372 0.71 unchanged
#> 439 18 14 -4 2.688 -1.488 0.137 unchanged
#> 440 6 13 7 2.688 2.604 0.009 increased
#> 441 14 12 -2 2.688 -0.744 0.457 unchanged
#> 442 4 5 1 2.688 0.372 0.71 unchanged
#> 443 10 9 -1 2.688 -0.372 0.71 unchanged
#> 444 18 18 0 2.688 0.000 1 unchanged
#> 445 17 16 -1 2.688 -0.372 0.71 unchanged
#> 446 16 17 1 2.688 0.372 0.71 unchanged
#> 447 0 0 0 2.688 0.000 1 unchanged
#> 448 12 10 -2 2.688 -0.744 0.457 unchanged
#> 449 4 7 3 2.688 1.116 0.264 unchanged
#> 450 1 4 3 2.688 1.116 0.264 unchanged
#> 451 19 18 -1 2.688 -0.372 0.71 unchanged
#> 452 8 5 -3 2.688 -1.116 0.264 unchanged
#> 453 8 11 3 2.688 1.116 0.264 unchanged
#> 454 5 9 4 2.688 1.488 0.137 unchanged
#> 455 18 17 -1 2.688 -0.372 0.71 unchanged
#> 456 12 11 -1 2.688 -0.372 0.71 unchanged
#> 457 5 9 4 2.688 1.488 0.137 unchanged
#> 458 2 5 3 2.688 1.116 0.264 unchanged
#> 459 1 2 1 2.688 0.372 0.71 unchanged
#> 460 19 18 -1 2.688 -0.372 0.71 unchanged
#> 461 15 17 2 2.688 0.744 0.457 unchanged
#> 462 17 13 -4 2.688 -1.488 0.137 unchanged
#> 463 13 15 2 2.688 0.744 0.457 unchanged
#> 464 14 14 0 2.688 0.000 1 unchanged
#> 465 6 9 3 2.688 1.116 0.264 unchanged
#> 466 9 5 -4 2.688 -1.488 0.137 unchanged
#> 467 16 15 -1 2.688 -0.372 0.71 unchanged
#> 468 3 2 -1 2.688 -0.372 0.71 unchanged
#> 469 1 7 6 2.688 2.232 0.026 increased
#> 470 13 10 -3 2.688 -1.116 0.264 unchanged
#> 471 5 4 -1 2.688 -0.372 0.71 unchanged
#> 472 6 7 1 2.688 0.372 0.71 unchanged
#> 473 20 19 -1 2.688 -0.372 0.71 unchanged
#> 474 7 9 2 2.688 0.744 0.457 unchanged
#> 475 1 1 0 2.688 0.000 1 unchanged
#> 476 15 13 -2 2.688 -0.744 0.457 unchanged
#> 477 16 11 -5 2.688 -1.860 0.063 unchanged
#> 478 16 12 -4 2.688 -1.488 0.137 unchanged
#> 479 11 10 -1 2.688 -0.372 0.71 unchanged
#> 480 15 16 1 2.688 0.372 0.71 unchanged
#> 481 7 8 1 2.688 0.372 0.71 unchanged
#> 482 15 12 -3 2.688 -1.116 0.264 unchanged
#> 483 15 16 1 2.688 0.372 0.71 unchanged
#> 484 12 11 -1 2.688 -0.372 0.71 unchanged
#> 485 12 10 -2 2.688 -0.744 0.457 unchanged
#> 486 5 8 3 2.688 1.116 0.264 unchanged
#> 487 8 12 4 2.688 1.488 0.137 unchanged
#> 488 11 13 2 2.688 0.744 0.457 unchanged
#> 489 16 17 1 2.688 0.372 0.71 unchanged
#> 490 7 8 1 2.688 0.372 0.71 unchanged
#> 491 19 18 -1 2.688 -0.372 0.71 unchanged
#> 492 4 5 1 2.688 0.372 0.71 unchanged
#> 493 19 16 -3 2.688 -1.116 0.264 unchanged
#> 494 8 9 1 2.688 0.372 0.71 unchanged
#> 495 10 15 5 2.688 1.860 0.063 unchanged
#> 496 6 7 1 2.688 0.372 0.71 unchanged
#> 497 11 8 -3 2.688 -1.116 0.264 unchanged
#> 498 3 9 6 2.688 2.232 0.026 increased
#> 499 8 8 0 2.688 0.000 1 unchanged
#> 500 7 11 4 2.688 1.488 0.137 unchanged
#> 501 13 16 3 2.688 1.116 0.264 unchanged
#> 502 11 10 -1 2.688 -0.372 0.71 unchanged
#> 503 0 1 1 2.688 0.372 0.71 unchanged
#> 504 4 5 1 2.688 0.372 0.71 unchanged
#> 505 4 6 2 2.688 0.744 0.457 unchanged
#> 506 12 10 -2 2.688 -0.744 0.457 unchanged
#> 507 18 16 -2 2.688 -0.744 0.457 unchanged
#> 508 13 14 1 2.688 0.372 0.71 unchanged
#> 509 5 7 2 2.688 0.744 0.457 unchanged
#> 510 8 10 2 2.688 0.744 0.457 unchanged
#> 511 6 10 4 2.688 1.488 0.137 unchanged
#> 512 7 9 2 2.688 0.744 0.457 unchanged
#> 513 5 5 0 2.688 0.000 1 unchanged
#> 514 5 10 5 2.688 1.860 0.063 unchanged
#> 515 9 11 2 2.688 0.744 0.457 unchanged
#> 516 17 17 0 2.688 0.000 1 unchanged
#> 517 14 13 -1 2.688 -0.372 0.71 unchanged
#> 518 8 15 7 2.688 2.604 0.009 increased
#> 519 14 14 0 2.688 0.000 1 unchanged
#> 520 13 8 -5 2.688 -1.860 0.063 unchanged
#> 521 14 12 -2 2.688 -0.744 0.457 unchanged
#> 522 6 2 -4 2.688 -1.488 0.137 unchanged
#> 523 17 14 -3 2.688 -1.116 0.264 unchanged
#> 524 13 13 0 2.688 0.000 1 unchanged
#> 525 14 14 0 2.688 0.000 1 unchanged
#> 526 16 12 -4 2.688 -1.488 0.137 unchanged
#> 527 12 10 -2 2.688 -0.744 0.457 unchanged
#> 528 15 16 1 2.688 0.372 0.71 unchanged
#> 529 13 10 -3 2.688 -1.116 0.264 unchanged
#> 530 9 10 1 2.688 0.372 0.71 unchanged
#> 531 12 7 -5 2.688 -1.860 0.063 unchanged
#> 532 20 20 0 2.688 0.000 1 unchanged
#> 533 17 12 -5 2.688 -1.860 0.063 unchanged
#> 534 6 8 2 2.688 0.744 0.457 unchanged
#> 535 19 18 -1 2.688 -0.372 0.71 unchanged
#> 536 12 12 0 2.688 0.000 1 unchanged
#> 537 10 7 -3 2.688 -1.116 0.264 unchanged
#> 538 6 4 -2 2.688 -0.744 0.457 unchanged
#> 539 8 8 0 2.688 0.000 1 unchanged
#> 540 10 12 2 2.688 0.744 0.457 unchanged
#> 541 4 7 3 2.688 1.116 0.264 unchanged
#> 542 2 2 0 2.688 0.000 1 unchanged
#> 543 6 5 -1 2.688 -0.372 0.71 unchanged
#> 544 12 10 -2 2.688 -0.744 0.457 unchanged
#> 545 4 5 1 2.688 0.372 0.71 unchanged
#> 546 11 10 -1 2.688 -0.372 0.71 unchanged
#> 547 14 12 -2 2.688 -0.744 0.457 unchanged
#> 548 13 15 2 2.688 0.744 0.457 unchanged
#> 549 12 9 -3 2.688 -1.116 0.264 unchanged
#> 550 11 11 0 2.688 0.000 1 unchanged
#> 551 8 2 -6 2.688 -2.232 0.026 decreased
#> 552 14 15 1 2.688 0.372 0.71 unchanged
#> 553 11 14 3 2.688 1.116 0.264 unchanged
#> 554 13 12 -1 2.688 -0.372 0.71 unchanged
#> 555 2 3 1 2.688 0.372 0.71 unchanged
#> 556 9 13 4 2.688 1.488 0.137 unchanged
#> 557 10 11 1 2.688 0.372 0.71 unchanged
#> 558 8 12 4 2.688 1.488 0.137 unchanged
#> 559 11 12 1 2.688 0.372 0.71 unchanged
#> 560 19 18 -1 2.688 -0.372 0.71 unchanged
#> 561 12 12 0 2.688 0.000 1 unchanged
#> 562 12 8 -4 2.688 -1.488 0.137 unchanged
#> 563 3 6 3 2.688 1.116 0.264 unchanged
#> 564 4 0 -4 2.688 -1.488 0.137 unchanged
#> 565 14 14 0 2.688 0.000 1 unchanged
#> 566 3 4 1 2.688 0.372 0.71 unchanged
#> 567 18 16 -2 2.688 -0.744 0.457 unchanged
#> 568 3 2 -1 2.688 -0.372 0.71 unchanged
#> 569 17 19 2 2.688 0.744 0.457 unchanged
#> 570 10 8 -2 2.688 -0.744 0.457 unchanged
#> 571 16 13 -3 2.688 -1.116 0.264 unchanged
#> 572 8 8 0 2.688 0.000 1 unchanged
#> 573 15 17 2 2.688 0.744 0.457 unchanged
#> 574 7 12 5 2.688 1.860 0.063 unchanged
#> 575 6 2 -4 2.688 -1.488 0.137 unchanged
#> 576 11 14 3 2.688 1.116 0.264 unchanged
#> 577 13 12 -1 2.688 -0.372 0.71 unchanged
#> 578 17 14 -3 2.688 -1.116 0.264 unchanged
#> 579 5 9 4 2.688 1.488 0.137 unchanged
#> 580 12 17 5 2.688 1.860 0.063 unchanged
#> 581 11 10 -1 2.688 -0.372 0.71 unchanged
#> 582 6 12 6 2.688 2.232 0.026 increased
#> 583 11 13 2 2.688 0.744 0.457 unchanged
#> 584 16 18 2 2.688 0.744 0.457 unchanged
#> 585 8 6 -2 2.688 -0.744 0.457 unchanged
#> 586 7 9 2 2.688 0.744 0.457 unchanged
#> 587 12 11 -1 2.688 -0.372 0.71 unchanged
#> 588 9 7 -2 2.688 -0.744 0.457 unchanged
#> 589 9 6 -3 2.688 -1.116 0.264 unchanged
#> 590 14 13 -1 2.688 -0.372 0.71 unchanged
#> 591 15 15 0 2.688 0.000 1 unchanged
#> 592 19 15 -4 2.688 -1.488 0.137 unchanged
#> 593 6 7 1 2.688 0.372 0.71 unchanged
#> 594 4 3 -1 2.688 -0.372 0.71 unchanged
#> 595 4 6 2 2.688 0.744 0.457 unchanged
#> 596 4 3 -1 2.688 -0.372 0.71 unchanged
#> 597 4 4 0 2.688 0.000 1 unchanged
#> 598 10 6 -4 2.688 -1.488 0.137 unchanged
#> 599 8 14 6 2.688 2.232 0.026 increased
#> 600 9 12 3 2.688 1.116 0.264 unchanged
#> 601 10 12 2 2.688 0.744 0.457 unchanged
#> 602 12 9 -3 2.688 -1.116 0.264 unchanged
#> 603 13 9 -4 2.688 -1.488 0.137 unchanged
#> 604 11 11 0 2.688 0.000 1 unchanged
#> 605 2 4 2 2.688 0.744 0.457 unchanged
#> 606 16 14 -2 2.688 -0.744 0.457 unchanged
#> 607 2 1 -1 2.688 -0.372 0.71 unchanged
#> 608 3 2 -1 2.688 -0.372 0.71 unchanged
#> 609 6 4 -2 2.688 -0.744 0.457 unchanged
#> 610 15 11 -4 2.688 -1.488 0.137 unchanged
#> 611 7 6 -1 2.688 -0.372 0.71 unchanged
#> 612 14 18 4 2.688 1.488 0.137 unchanged
#> 613 7 14 7 2.688 2.604 0.009 increased
#> 614 18 14 -4 2.688 -1.488 0.137 unchanged
#> 615 9 6 -3 2.688 -1.116 0.264 unchanged
#> 616 11 11 0 2.688 0.000 1 unchanged
#> 617 6 2 -4 2.688 -1.488 0.137 unchanged
#> 618 10 7 -3 2.688 -1.116 0.264 unchanged
#> 619 3 2 -1 2.688 -0.372 0.71 unchanged
#> 620 8 4 -4 2.688 -1.488 0.137 unchanged
#> 621 8 10 2 2.688 0.744 0.457 unchanged
#> 622 16 16 0 2.688 0.000 1 unchanged
#> 623 4 2 -2 2.688 -0.744 0.457 unchanged
#> 624 13 15 2 2.688 0.744 0.457 unchanged
#> 625 11 11 0 2.688 0.000 1 unchanged
#> 626 14 13 -1 2.688 -0.372 0.71 unchanged
#> 627 4 8 4 2.688 1.488 0.137 unchanged
#> 628 6 8 2 2.688 0.744 0.457 unchanged
#> 629 15 9 -6 2.688 -2.232 0.026 decreased
#> 630 2 3 1 2.688 0.372 0.71 unchanged
#> 631 2 3 1 2.688 0.372 0.71 unchanged
#> 632 8 6 -2 2.688 -0.744 0.457 unchanged
#> 633 8 4 -4 2.688 -1.488 0.137 unchanged
#> 634 12 18 6 2.688 2.232 0.026 increased
#> 635 15 15 0 2.688 0.000 1 unchanged
#> 636 10 10 0 2.688 0.000 1 unchanged
#> 637 3 3 0 2.688 0.000 1 unchanged
#> 638 14 15 1 2.688 0.372 0.71 unchanged
#> 639 9 6 -3 2.688 -1.116 0.264 unchanged
#> 640 2 5 3 2.688 1.116 0.264 unchanged
#> 641 14 17 3 2.688 1.116 0.264 unchanged
#> 642 4 2 -2 2.688 -0.744 0.457 unchanged
#> 643 12 13 1 2.688 0.372 0.71 unchanged
#> 644 10 7 -3 2.688 -1.116 0.264 unchanged
#> 645 3 4 1 2.688 0.372 0.71 unchanged
#> 646 4 2 -2 2.688 -0.744 0.457 unchanged
#> 647 2 6 4 2.688 1.488 0.137 unchanged
#> 648 11 8 -3 2.688 -1.116 0.264 unchanged
#> 649 10 10 0 2.688 0.000 1 unchanged
#> 650 17 17 0 2.688 0.000 1 unchanged
#> 651 8 10 2 2.688 0.744 0.457 unchanged
#> 652 8 9 1 2.688 0.372 0.71 unchanged
#> 653 17 17 0 2.688 0.000 1 unchanged
#> 654 15 13 -2 2.688 -0.744 0.457 unchanged
#> 655 14 19 5 2.688 1.860 0.063 unchanged
#> 656 10 14 4 2.688 1.488 0.137 unchanged
#> 657 12 13 1 2.688 0.372 0.71 unchanged
#> 658 7 12 5 2.688 1.860 0.063 unchanged
#> 659 11 12 1 2.688 0.372 0.71 unchanged
#> 660 13 10 -3 2.688 -1.116 0.264 unchanged
#> 661 7 7 0 2.688 0.000 1 unchanged
#> 662 8 6 -2 2.688 -0.744 0.457 unchanged
#> 663 7 5 -2 2.688 -0.744 0.457 unchanged
#> 664 14 10 -4 2.688 -1.488 0.137 unchanged
#> 665 17 19 2 2.688 0.744 0.457 unchanged
#> 666 9 6 -3 2.688 -1.116 0.264 unchanged
#> 667 3 3 0 2.688 0.000 1 unchanged
#> 668 15 11 -4 2.688 -1.488 0.137 unchanged
#> 669 7 8 1 2.688 0.372 0.71 unchanged
#> 670 12 12 0 2.688 0.000 1 unchanged
#> 671 13 13 0 2.688 0.000 1 unchanged
#> 672 16 20 4 2.688 1.488 0.137 unchanged
#> 673 13 9 -4 2.688 -1.488 0.137 unchanged
#> 674 14 16 2 2.688 0.744 0.457 unchanged
#> 675 7 2 -5 2.688 -1.860 0.063 unchanged
#> 676 10 6 -4 2.688 -1.488 0.137 unchanged
#> 677 10 12 2 2.688 0.744 0.457 unchanged
#> 678 8 9 1 2.688 0.372 0.71 unchanged
#> 679 4 7 3 2.688 1.116 0.264 unchanged
#> 680 2 4 2 2.688 0.744 0.457 unchanged
#> 681 13 10 -3 2.688 -1.116 0.264 unchanged
#> 682 5 12 7 2.688 2.604 0.009 increased
#> 683 5 6 1 2.688 0.372 0.71 unchanged
#> 684 10 7 -3 2.688 -1.116 0.264 unchanged
#> 685 13 12 -1 2.688 -0.372 0.71 unchanged
#> 686 17 19 2 2.688 0.744 0.457 unchanged
#> 687 11 12 1 2.688 0.372 0.71 unchanged
#> 688 4 10 6 2.688 2.232 0.026 increased
#> 689 6 4 -2 2.688 -0.744 0.457 unchanged
#> 690 3 5 2 2.688 0.744 0.457 unchanged
#> 691 11 14 3 2.688 1.116 0.264 unchanged
#> 692 7 2 -5 2.688 -1.860 0.063 unchanged
#> 693 8 10 2 2.688 0.744 0.457 unchanged
#> 694 13 11 -2 2.688 -0.744 0.457 unchanged
#> 695 13 16 3 2.688 1.116 0.264 unchanged
#> 696 16 15 -1 2.688 -0.372 0.71 unchanged
#> 697 16 12 -4 2.688 -1.488 0.137 unchanged
#> 698 3 3 0 2.688 0.000 1 unchanged
#> 699 12 15 3 2.688 1.116 0.264 unchanged
#> 700 12 16 4 2.688 1.488 0.137 unchanged
#> 701 3 3 0 2.688 0.000 1 unchanged
#> 702 20 20 0 2.688 0.000 1 unchanged
#> 703 7 10 3 2.688 1.116 0.264 unchanged
#> 704 9 13 4 2.688 1.488 0.137 unchanged
#> 705 5 7 2 2.688 0.744 0.457 unchanged
#> 706 2 2 0 2.688 0.000 1 unchanged
#> 707 13 16 3 2.688 1.116 0.264 unchanged
#> 708 5 7 2 2.688 0.744 0.457 unchanged
#> 709 8 7 -1 2.688 -0.372 0.71 unchanged
#> 710 15 18 3 2.688 1.116 0.264 unchanged
#> 711 3 1 -2 2.688 -0.744 0.457 unchanged
#> 712 5 5 0 2.688 0.000 1 unchanged
#> 713 5 3 -2 2.688 -0.744 0.457 unchanged
#> 714 15 16 1 2.688 0.372 0.71 unchanged
#> 715 12 10 -2 2.688 -0.744 0.457 unchanged
#> 716 9 6 -3 2.688 -1.116 0.264 unchanged
#> 717 5 2 -3 2.688 -1.116 0.264 unchanged
#> 718 3 4 1 2.688 0.372 0.71 unchanged
#> 719 2 6 4 2.688 1.488 0.137 unchanged
#> 720 4 6 2 2.688 0.744 0.457 unchanged
#> 721 10 12 2 2.688 0.744 0.457 unchanged
#> 722 16 14 -2 2.688 -0.744 0.457 unchanged
#> 723 3 2 -1 2.688 -0.372 0.71 unchanged
#> 724 13 8 -5 2.688 -1.860 0.063 unchanged
#> 725 17 15 -2 2.688 -0.744 0.457 unchanged
#> 726 8 8 0 2.688 0.000 1 unchanged
#> 727 8 10 2 2.688 0.744 0.457 unchanged
#> 728 16 12 -4 2.688 -1.488 0.137 unchanged
#> 729 11 15 4 2.688 1.488 0.137 unchanged
#> 730 4 8 4 2.688 1.488 0.137 unchanged
#> 731 5 6 1 2.688 0.372 0.71 unchanged
#> 732 4 3 -1 2.688 -0.372 0.71 unchanged
#> 733 8 6 -2 2.688 -0.744 0.457 unchanged
#> 734 18 19 1 2.688 0.372 0.71 unchanged
#> 735 10 11 1 2.688 0.372 0.71 unchanged
#> 736 10 12 2 2.688 0.744 0.457 unchanged
#> 737 18 20 2 2.688 0.744 0.457 unchanged
#> 738 11 5 -6 2.688 -2.232 0.026 decreased
#> 739 17 17 0 2.688 0.000 1 unchanged
#> 740 3 5 2 2.688 0.744 0.457 unchanged
#> 741 15 15 0 2.688 0.000 1 unchanged
#> 742 8 9 1 2.688 0.372 0.71 unchanged
#> 743 9 5 -4 2.688 -1.488 0.137 unchanged
#> 744 16 13 -3 2.688 -1.116 0.264 unchanged
#> 745 14 13 -1 2.688 -0.372 0.71 unchanged
#> 746 8 6 -2 2.688 -0.744 0.457 unchanged
#> 747 5 9 4 2.688 1.488 0.137 unchanged
#> 748 3 1 -2 2.688 -0.744 0.457 unchanged
#> 749 6 7 1 2.688 0.372 0.71 unchanged
#> 750 17 13 -4 2.688 -1.488 0.137 unchanged
#> 751 15 15 0 2.688 0.000 1 unchanged
#> 752 5 6 1 2.688 0.372 0.71 unchanged
#> 753 9 11 2 2.688 0.744 0.457 unchanged
#> 754 16 14 -2 2.688 -0.744 0.457 unchanged
#> 755 12 12 0 2.688 0.000 1 unchanged
#> 756 12 14 2 2.688 0.744 0.457 unchanged
#> 757 14 9 -5 2.688 -1.860 0.063 unchanged
#> 758 12 15 3 2.688 1.116 0.264 unchanged
#> 759 1 0 -1 2.688 -0.372 0.71 unchanged
#> 760 13 17 4 2.688 1.488 0.137 unchanged
#> 761 17 19 2 2.688 0.744 0.457 unchanged
#> 762 4 4 0 2.688 0.000 1 unchanged
#> 763 10 7 -3 2.688 -1.116 0.264 unchanged
#> 764 15 15 0 2.688 0.000 1 unchanged
#> 765 10 12 2 2.688 0.744 0.457 unchanged
#> 766 2 2 0 2.688 0.000 1 unchanged
#> 767 16 16 0 2.688 0.000 1 unchanged
#> 768 14 13 -1 2.688 -0.372 0.71 unchanged
#> 769 15 15 0 2.688 0.000 1 unchanged
#> 770 7 3 -4 2.688 -1.488 0.137 unchanged
#> 771 7 3 -4 2.688 -1.488 0.137 unchanged
#> 772 15 14 -1 2.688 -0.372 0.71 unchanged
#> 773 11 12 1 2.688 0.372 0.71 unchanged
#> 774 2 1 -1 2.688 -0.372 0.71 unchanged
#> 775 3 7 4 2.688 1.488 0.137 unchanged
#> 776 16 16 0 2.688 0.000 1 unchanged
#> 777 14 9 -5 2.688 -1.860 0.063 unchanged
#> 778 14 14 0 2.688 0.000 1 unchanged
#> 779 14 13 -1 2.688 -0.372 0.71 unchanged
#> 780 13 9 -4 2.688 -1.488 0.137 unchanged
#> 781 13 11 -2 2.688 -0.744 0.457 unchanged
#> 782 5 13 8 2.688 2.976 0.003 increased
#> 783 13 12 -1 2.688 -0.372 0.71 unchanged
#> 784 8 7 -1 2.688 -0.372 0.71 unchanged
#> 785 17 16 -1 2.688 -0.372 0.71 unchanged
#> 786 10 11 1 2.688 0.372 0.71 unchanged
#> 787 12 10 -2 2.688 -0.744 0.457 unchanged
#> 788 7 9 2 2.688 0.744 0.457 unchanged
#> 789 2 2 0 2.688 0.000 1 unchanged
#> 790 1 3 2 2.688 0.744 0.457 unchanged
#> 791 3 8 5 2.688 1.860 0.063 unchanged
#> 792 14 16 2 2.688 0.744 0.457 unchanged
#> 793 4 7 3 2.688 1.116 0.264 unchanged
#> 794 15 17 2 2.688 0.744 0.457 unchanged
#> 795 15 13 -2 2.688 -0.744 0.457 unchanged
#> 796 7 8 1 2.688 0.372 0.71 unchanged
#> 797 6 4 -2 2.688 -0.744 0.457 unchanged
#> 798 7 6 -1 2.688 -0.372 0.71 unchanged
#> 799 11 8 -3 2.688 -1.116 0.264 unchanged
#> 800 8 12 4 2.688 1.488 0.137 unchanged
#> 801 6 3 -3 2.688 -1.116 0.264 unchanged
#> 802 7 2 -5 2.688 -1.860 0.063 unchanged
#> 803 9 9 0 2.688 0.000 1 unchanged
#> 804 17 14 -3 2.688 -1.116 0.264 unchanged
#> 805 6 7 1 2.688 0.372 0.71 unchanged
#> 806 14 13 -1 2.688 -0.372 0.71 unchanged
#> 807 6 13 7 2.688 2.604 0.009 increased
#> 808 7 9 2 2.688 0.744 0.457 unchanged
#> 809 17 17 0 2.688 0.000 1 unchanged
#> 810 3 6 3 2.688 1.116 0.264 unchanged
#> 811 15 18 3 2.688 1.116 0.264 unchanged
#> 812 10 10 0 2.688 0.000 1 unchanged
#> 813 7 2 -5 2.688 -1.860 0.063 unchanged
#> 814 13 14 1 2.688 0.372 0.71 unchanged
#> 815 8 10 2 2.688 0.744 0.457 unchanged
#> 816 7 7 0 2.688 0.000 1 unchanged
#> 817 15 5 -10 2.688 -3.721 0 decreased
#> 818 11 11 0 2.688 0.000 1 unchanged
#> 819 8 14 6 2.688 2.232 0.026 increased
#> 820 7 5 -2 2.688 -0.744 0.457 unchanged
#> 821 12 12 0 2.688 0.000 1 unchanged
#> 822 10 13 3 2.688 1.116 0.264 unchanged
#> 823 3 3 0 2.688 0.000 1 unchanged
#> 824 17 18 1 2.688 0.372 0.71 unchanged
#> 825 7 6 -1 2.688 -0.372 0.71 unchanged
#> 826 5 7 2 2.688 0.744 0.457 unchanged
#> 827 15 14 -1 2.688 -0.372 0.71 unchanged
#> 828 3 7 4 2.688 1.488 0.137 unchanged
#> 829 4 3 -1 2.688 -0.372 0.71 unchanged
#> 830 20 17 -3 2.688 -1.116 0.264 unchanged
#> 831 8 5 -3 2.688 -1.116 0.264 unchanged
#> 832 13 18 5 2.688 1.860 0.063 unchanged
#> 833 15 15 0 2.688 0.000 1 unchanged
#> 834 16 17 1 2.688 0.372 0.71 unchanged
#> 835 6 6 0 2.688 0.000 1 unchanged
#> 836 16 16 0 2.688 0.000 1 unchanged
#> 837 9 9 0 2.688 0.000 1 unchanged
#> 838 10 16 6 2.688 2.232 0.026 increased
#> 839 10 11 1 2.688 0.372 0.71 unchanged
#> 840 16 17 1 2.688 0.372 0.71 unchanged
#> 841 15 15 0 2.688 0.000 1 unchanged
#> 842 13 13 0 2.688 0.000 1 unchanged
#> 843 15 16 1 2.688 0.372 0.71 unchanged
#> 844 10 7 -3 2.688 -1.116 0.264 unchanged
#> 845 12 9 -3 2.688 -1.116 0.264 unchanged
#> 846 12 12 0 2.688 0.000 1 unchanged
#> 847 8 7 -1 2.688 -0.372 0.71 unchanged
#> 848 7 3 -4 2.688 -1.488 0.137 unchanged
#> 849 5 5 0 2.688 0.000 1 unchanged
#> 850 19 16 -3 2.688 -1.116 0.264 unchanged
#> 851 15 15 0 2.688 0.000 1 unchanged
#> 852 13 8 -5 2.688 -1.860 0.063 unchanged
#> 853 9 10 1 2.688 0.372 0.71 unchanged
#> 854 8 8 0 2.688 0.000 1 unchanged
#> 855 9 9 0 2.688 0.000 1 unchanged
#> 856 12 13 1 2.688 0.372 0.71 unchanged
#> 857 10 7 -3 2.688 -1.116 0.264 unchanged
#> 858 13 10 -3 2.688 -1.116 0.264 unchanged
#> 859 10 9 -1 2.688 -0.372 0.71 unchanged
#> 860 5 8 3 2.688 1.116 0.264 unchanged
#> 861 5 3 -2 2.688 -0.744 0.457 unchanged
#> 862 13 14 1 2.688 0.372 0.71 unchanged
#> 863 3 6 3 2.688 1.116 0.264 unchanged
#> 864 8 4 -4 2.688 -1.488 0.137 unchanged
#> 865 10 13 3 2.688 1.116 0.264 unchanged
#> 866 12 12 0 2.688 0.000 1 unchanged
#> 867 9 10 1 2.688 0.372 0.71 unchanged
#> 868 11 13 2 2.688 0.744 0.457 unchanged
#> 869 10 7 -3 2.688 -1.116 0.264 unchanged
#> 870 13 13 0 2.688 0.000 1 unchanged
#> 871 14 13 -1 2.688 -0.372 0.71 unchanged
#> 872 8 10 2 2.688 0.744 0.457 unchanged
#> 873 1 1 0 2.688 0.000 1 unchanged
#> 874 7 13 6 2.688 2.232 0.026 increased
#> 875 14 16 2 2.688 0.744 0.457 unchanged
#> 876 9 8 -1 2.688 -0.372 0.71 unchanged
#> 877 16 16 0 2.688 0.000 1 unchanged
#> 878 14 15 1 2.688 0.372 0.71 unchanged
#> 879 8 10 2 2.688 0.744 0.457 unchanged
#> 880 6 2 -4 2.688 -1.488 0.137 unchanged
#> 881 5 2 -3 2.688 -1.116 0.264 unchanged
#> 882 6 10 4 2.688 1.488 0.137 unchanged
#> 883 11 11 0 2.688 0.000 1 unchanged
#> 884 6 5 -1 2.688 -0.372 0.71 unchanged
#> 885 14 14 0 2.688 0.000 1 unchanged
#> 886 3 7 4 2.688 1.488 0.137 unchanged
#> 887 3 9 6 2.688 2.232 0.026 increased
#> 888 10 7 -3 2.688 -1.116 0.264 unchanged
#> 889 2 6 4 2.688 1.488 0.137 unchanged
#> 890 15 11 -4 2.688 -1.488 0.137 unchanged
#> 891 10 6 -4 2.688 -1.488 0.137 unchanged
#> 892 10 10 0 2.688 0.000 1 unchanged
#> 893 17 16 -1 2.688 -0.372 0.71 unchanged
#> 894 11 12 1 2.688 0.372 0.71 unchanged
#> 895 9 11 2 2.688 0.744 0.457 unchanged
#> 896 15 13 -2 2.688 -0.744 0.457 unchanged
#> 897 17 16 -1 2.688 -0.372 0.71 unchanged
#> 898 7 9 2 2.688 0.744 0.457 unchanged
#> 899 10 8 -2 2.688 -0.744 0.457 unchanged
#> 900 6 5 -1 2.688 -0.372 0.71 unchanged
#> 901 7 6 -1 2.688 -0.372 0.71 unchanged
#> 902 16 19 3 2.688 1.116 0.264 unchanged
#> 903 16 19 3 2.688 1.116 0.264 unchanged
#> 904 12 9 -3 2.688 -1.116 0.264 unchanged
#> 905 6 7 1 2.688 0.372 0.71 unchanged
#> 906 19 20 1 2.688 0.372 0.71 unchanged
#> 907 15 11 -4 2.688 -1.488 0.137 unchanged
#> 908 10 5 -5 2.688 -1.860 0.063 unchanged
#> 909 2 0 -2 2.688 -0.744 0.457 unchanged
#> 910 18 10 -8 2.688 -2.976 0.003 decreased
#> 911 2 0 -2 2.688 -0.744 0.457 unchanged
#> 912 20 17 -3 2.688 -1.116 0.264 unchanged
#> 913 4 2 -2 2.688 -0.744 0.457 unchanged
#> 914 16 17 1 2.688 0.372 0.71 unchanged
#> 915 14 15 1 2.688 0.372 0.71 unchanged
#> 916 18 13 -5 2.688 -1.860 0.063 unchanged
#> 917 16 17 1 2.688 0.372 0.71 unchanged
#> 918 15 18 3 2.688 1.116 0.264 unchanged
#> 919 13 10 -3 2.688 -1.116 0.264 unchanged
#> 920 11 8 -3 2.688 -1.116 0.264 unchanged
#> 921 4 2 -2 2.688 -0.744 0.457 unchanged
#> 922 6 10 4 2.688 1.488 0.137 unchanged
#> 923 12 11 -1 2.688 -0.372 0.71 unchanged
#> 924 18 18 0 2.688 0.000 1 unchanged
#> 925 5 5 0 2.688 0.000 1 unchanged
#> 926 19 19 0 2.688 0.000 1 unchanged
#> 927 7 5 -2 2.688 -0.744 0.457 unchanged
#> 928 9 3 -6 2.688 -2.232 0.026 decreased
#> 929 15 19 4 2.688 1.488 0.137 unchanged
#> 930 15 9 -6 2.688 -2.232 0.026 decreased
#> 931 11 11 0 2.688 0.000 1 unchanged
#> 932 12 10 -2 2.688 -0.744 0.457 unchanged
#> 933 12 13 1 2.688 0.372 0.71 unchanged
#> 934 9 6 -3 2.688 -1.116 0.264 unchanged
#> 935 14 14 0 2.688 0.000 1 unchanged
#> 936 6 7 1 2.688 0.372 0.71 unchanged
#> 937 6 6 0 2.688 0.000 1 unchanged
#> 938 8 10 2 2.688 0.744 0.457 unchanged
#> 939 3 2 -1 2.688 -0.372 0.71 unchanged
#> 940 11 10 -1 2.688 -0.372 0.71 unchanged
#> 941 12 15 3 2.688 1.116 0.264 unchanged
#> 942 13 14 1 2.688 0.372 0.71 unchanged
#> 943 12 8 -4 2.688 -1.488 0.137 unchanged
#> 944 15 13 -2 2.688 -0.744 0.457 unchanged
#> 945 11 12 1 2.688 0.372 0.71 unchanged
#> 946 11 11 0 2.688 0.000 1 unchanged
#> 947 11 10 -1 2.688 -0.372 0.71 unchanged
#> 948 10 13 3 2.688 1.116 0.264 unchanged
#> 949 1 2 1 2.688 0.372 0.71 unchanged
#> 950 7 12 5 2.688 1.860 0.063 unchanged
#> 951 8 6 -2 2.688 -0.744 0.457 unchanged
#> 952 15 12 -3 2.688 -1.116 0.264 unchanged
#> 953 7 4 -3 2.688 -1.116 0.264 unchanged
#> 954 2 6 4 2.688 1.488 0.137 unchanged
#> 955 6 5 -1 2.688 -0.372 0.71 unchanged
#> 956 3 3 0 2.688 0.000 1 unchanged
#> 957 5 5 0 2.688 0.000 1 unchanged
#> 958 6 6 0 2.688 0.000 1 unchanged
#> 959 13 17 4 2.688 1.488 0.137 unchanged
#> 960 6 7 1 2.688 0.372 0.71 unchanged
#> 961 3 2 -1 2.688 -0.372 0.71 unchanged
#> 962 12 11 -1 2.688 -0.372 0.71 unchanged
#> 963 6 4 -2 2.688 -0.744 0.457 unchanged
#> 964 17 12 -5 2.688 -1.860 0.063 unchanged
#> 965 5 7 2 2.688 0.744 0.457 unchanged
#> 966 13 16 3 2.688 1.116 0.264 unchanged
#> 967 15 16 1 2.688 0.372 0.71 unchanged
#> 968 12 9 -3 2.688 -1.116 0.264 unchanged
#> 969 15 13 -2 2.688 -0.744 0.457 unchanged
#> 970 14 16 2 2.688 0.744 0.457 unchanged
#> 971 6 7 1 2.688 0.372 0.71 unchanged
#> 972 16 16 0 2.688 0.000 1 unchanged
#> 973 3 1 -2 2.688 -0.744 0.457 unchanged
#> 974 5 5 0 2.688 0.000 1 unchanged
#> 975 7 3 -4 2.688 -1.488 0.137 unchanged
#> 976 13 13 0 2.688 0.000 1 unchanged
#> 977 10 12 2 2.688 0.744 0.457 unchanged
#> 978 2 4 2 2.688 0.744 0.457 unchanged
#> 979 2 9 7 2.688 2.604 0.009 increased
#> 980 10 9 -1 2.688 -0.372 0.71 unchanged
#> 981 4 1 -3 2.688 -1.116 0.264 unchanged
#> 982 7 4 -3 2.688 -1.116 0.264 unchanged
#> 983 17 12 -5 2.688 -1.860 0.063 unchanged
#> 984 18 16 -2 2.688 -0.744 0.457 unchanged
#> 985 16 11 -5 2.688 -1.860 0.063 unchanged
#> 986 5 3 -2 2.688 -0.744 0.457 unchanged
#> 987 13 14 1 2.688 0.372 0.71 unchanged
#> 988 11 8 -3 2.688 -1.116 0.264 unchanged
#> 989 2 12 10 2.688 3.721 0 increased
#> 990 9 11 2 2.688 0.744 0.457 unchanged
#> 991 11 6 -5 2.688 -1.860 0.063 unchanged
#> 992 11 10 -1 2.688 -0.372 0.71 unchanged
#> 993 8 6 -2 2.688 -0.744 0.457 unchanged
#> 994 1 4 3 2.688 1.116 0.264 unchanged
#> 995 10 7 -3 2.688 -1.116 0.264 unchanged
#> 996 11 5 -6 2.688 -2.232 0.026 decreased
#> 997 7 6 -1 2.688 -0.372 0.71 unchanged
#> 998 10 12 2 2.688 0.744 0.457 unchanged
#> 999 11 7 -4 2.688 -1.488 0.137 unchanged
#> 1000 1 2 1 2.688 0.372 0.71 unchanged
# allows SEM.post != SEM.pre
(istats.post <- itemstats(dat_post)$overall)
#> N mean_total.score sd_total.score ave.r sd.r alpha SEM.alpha
#> 1000 9.745 4.774 0.206 0.063 0.84 1.91
SEM.alpha.post <- istats.post$SEM.alpha
RCI(predat = dat_pre, postdat = dat_post,
SEM.pre=SEM.alpha, SEM.post=SEM.alpha.post)
#> pre.score post.score diff SE z p
#> 1 18 19 1 2.694 0.371 0.711
#> 2 18 9 -9 2.694 -3.340 0.001
#> 3 15 9 -6 2.694 -2.227 0.026
#> 4 11 10 -1 2.694 -0.371 0.711
#> 5 4 5 1 2.694 0.371 0.711
#> 6 4 8 4 2.694 1.485 0.138
#> 7 11 8 -3 2.694 -1.113 0.266
#> 8 11 15 4 2.694 1.485 0.138
#> 9 3 3 0 2.694 0.000 1
#> 10 4 8 4 2.694 1.485 0.138
#> 11 1 5 4 2.694 1.485 0.138
#> 12 16 14 -2 2.694 -0.742 0.458
#> 13 12 10 -2 2.694 -0.742 0.458
#> 14 11 10 -1 2.694 -0.371 0.711
#> 15 17 18 1 2.694 0.371 0.711
#> 16 1 4 3 2.694 1.113 0.266
#> 17 10 8 -2 2.694 -0.742 0.458
#> 18 12 11 -1 2.694 -0.371 0.711
#> 19 15 12 -3 2.694 -1.113 0.266
#> 20 16 10 -6 2.694 -2.227 0.026
#> 21 7 6 -1 2.694 -0.371 0.711
#> 22 7 12 5 2.694 1.856 0.063
#> 23 2 4 2 2.694 0.742 0.458
#> 24 5 7 2 2.694 0.742 0.458
#> 25 14 15 1 2.694 0.371 0.711
#> 26 9 6 -3 2.694 -1.113 0.266
#> 27 17 17 0 2.694 0.000 1
#> 28 4 9 5 2.694 1.856 0.063
#> 29 14 16 2 2.694 0.742 0.458
#> 30 4 7 3 2.694 1.113 0.266
#> 31 2 0 -2 2.694 -0.742 0.458
#> 32 9 6 -3 2.694 -1.113 0.266
#> 33 20 20 0 2.694 0.000 1
#> 34 9 6 -3 2.694 -1.113 0.266
#> 35 3 4 1 2.694 0.371 0.711
#> 36 14 15 1 2.694 0.371 0.711
#> 37 8 9 1 2.694 0.371 0.711
#> 38 15 13 -2 2.694 -0.742 0.458
#> 39 9 12 3 2.694 1.113 0.266
#> 40 18 18 0 2.694 0.000 1
#> 41 11 10 -1 2.694 -0.371 0.711
#> 42 12 9 -3 2.694 -1.113 0.266
#> 43 8 7 -1 2.694 -0.371 0.711
#> 44 10 11 1 2.694 0.371 0.711
#> 45 7 10 3 2.694 1.113 0.266
#> 46 8 9 1 2.694 0.371 0.711
#> 47 6 8 2 2.694 0.742 0.458
#> 48 6 7 1 2.694 0.371 0.711
#> 49 6 8 2 2.694 0.742 0.458
#> 50 8 11 3 2.694 1.113 0.266
#> 51 13 17 4 2.694 1.485 0.138
#> 52 6 6 0 2.694 0.000 1
#> 53 19 13 -6 2.694 -2.227 0.026
#> 54 6 11 5 2.694 1.856 0.063
#> 55 9 8 -1 2.694 -0.371 0.711
#> 56 7 8 1 2.694 0.371 0.711
#> 57 9 6 -3 2.694 -1.113 0.266
#> 58 3 3 0 2.694 0.000 1
#> 59 10 8 -2 2.694 -0.742 0.458
#> 60 14 14 0 2.694 0.000 1
#> 61 12 12 0 2.694 0.000 1
#> 62 15 14 -1 2.694 -0.371 0.711
#> 63 13 12 -1 2.694 -0.371 0.711
#> 64 5 5 0 2.694 0.000 1
#> 65 5 4 -1 2.694 -0.371 0.711
#> 66 5 4 -1 2.694 -0.371 0.711
#> 67 18 14 -4 2.694 -1.485 0.138
#> 68 9 8 -1 2.694 -0.371 0.711
#> 69 11 9 -2 2.694 -0.742 0.458
#> 70 19 17 -2 2.694 -0.742 0.458
#> 71 9 5 -4 2.694 -1.485 0.138
#> 72 16 15 -1 2.694 -0.371 0.711
#> 73 10 9 -1 2.694 -0.371 0.711
#> 74 11 11 0 2.694 0.000 1
#> 75 14 10 -4 2.694 -1.485 0.138
#> 76 14 15 1 2.694 0.371 0.711
#> 77 5 4 -1 2.694 -0.371 0.711
#> 78 11 9 -2 2.694 -0.742 0.458
#> 79 15 10 -5 2.694 -1.856 0.063
#> 80 11 11 0 2.694 0.000 1
#> 81 10 8 -2 2.694 -0.742 0.458
#> 82 12 12 0 2.694 0.000 1
#> 83 11 11 0 2.694 0.000 1
#> 84 5 1 -4 2.694 -1.485 0.138
#> 85 7 9 2 2.694 0.742 0.458
#> 86 7 10 3 2.694 1.113 0.266
#> 87 3 7 4 2.694 1.485 0.138
#> 88 9 11 2 2.694 0.742 0.458
#> 89 8 9 1 2.694 0.371 0.711
#> 90 12 11 -1 2.694 -0.371 0.711
#> 91 6 1 -5 2.694 -1.856 0.063
#> 92 6 8 2 2.694 0.742 0.458
#> 93 3 5 2 2.694 0.742 0.458
#> 94 12 12 0 2.694 0.000 1
#> 95 18 16 -2 2.694 -0.742 0.458
#> 96 9 7 -2 2.694 -0.742 0.458
#> 97 8 11 3 2.694 1.113 0.266
#> 98 7 7 0 2.694 0.000 1
#> 99 12 11 -1 2.694 -0.371 0.711
#> 100 10 10 0 2.694 0.000 1
#> 101 5 5 0 2.694 0.000 1
#> 102 14 15 1 2.694 0.371 0.711
#> 103 9 9 0 2.694 0.000 1
#> 104 8 15 7 2.694 2.598 0.009
#> 105 2 3 1 2.694 0.371 0.711
#> 106 7 10 3 2.694 1.113 0.266
#> 107 12 12 0 2.694 0.000 1
#> 108 2 2 0 2.694 0.000 1
#> 109 14 13 -1 2.694 -0.371 0.711
#> 110 6 4 -2 2.694 -0.742 0.458
#> 111 15 10 -5 2.694 -1.856 0.063
#> 112 5 5 0 2.694 0.000 1
#> 113 15 18 3 2.694 1.113 0.266
#> 114 2 0 -2 2.694 -0.742 0.458
#> 115 9 12 3 2.694 1.113 0.266
#> 116 14 14 0 2.694 0.000 1
#> 117 10 7 -3 2.694 -1.113 0.266
#> 118 6 5 -1 2.694 -0.371 0.711
#> 119 12 9 -3 2.694 -1.113 0.266
#> 120 7 3 -4 2.694 -1.485 0.138
#> 121 9 12 3 2.694 1.113 0.266
#> 122 2 6 4 2.694 1.485 0.138
#> 123 9 6 -3 2.694 -1.113 0.266
#> 124 2 5 3 2.694 1.113 0.266
#> 125 12 12 0 2.694 0.000 1
#> 126 16 19 3 2.694 1.113 0.266
#> 127 13 14 1 2.694 0.371 0.711
#> 128 13 14 1 2.694 0.371 0.711
#> 129 14 15 1 2.694 0.371 0.711
#> 130 7 14 7 2.694 2.598 0.009
#> 131 10 11 1 2.694 0.371 0.711
#> 132 3 3 0 2.694 0.000 1
#> 133 15 15 0 2.694 0.000 1
#> 134 18 19 1 2.694 0.371 0.711
#> 135 2 5 3 2.694 1.113 0.266
#> 136 12 10 -2 2.694 -0.742 0.458
#> 137 12 14 2 2.694 0.742 0.458
#> 138 6 3 -3 2.694 -1.113 0.266
#> 139 13 9 -4 2.694 -1.485 0.138
#> 140 8 5 -3 2.694 -1.113 0.266
#> 141 18 17 -1 2.694 -0.371 0.711
#> 142 15 15 0 2.694 0.000 1
#> 143 7 9 2 2.694 0.742 0.458
#> 144 14 10 -4 2.694 -1.485 0.138
#> 145 3 5 2 2.694 0.742 0.458
#> 146 1 2 1 2.694 0.371 0.711
#> 147 5 6 1 2.694 0.371 0.711
#> 148 8 8 0 2.694 0.000 1
#> 149 13 15 2 2.694 0.742 0.458
#> 150 9 9 0 2.694 0.000 1
#> 151 8 9 1 2.694 0.371 0.711
#> 152 2 1 -1 2.694 -0.371 0.711
#> 153 3 3 0 2.694 0.000 1
#> 154 7 5 -2 2.694 -0.742 0.458
#> 155 16 13 -3 2.694 -1.113 0.266
#> 156 9 12 3 2.694 1.113 0.266
#> 157 15 17 2 2.694 0.742 0.458
#> 158 10 5 -5 2.694 -1.856 0.063
#> 159 8 10 2 2.694 0.742 0.458
#> 160 17 11 -6 2.694 -2.227 0.026
#> 161 14 8 -6 2.694 -2.227 0.026
#> 162 8 8 0 2.694 0.000 1
#> 163 3 5 2 2.694 0.742 0.458
#> 164 16 8 -8 2.694 -2.969 0.003
#> 165 9 7 -2 2.694 -0.742 0.458
#> 166 7 8 1 2.694 0.371 0.711
#> 167 15 15 0 2.694 0.000 1
#> 168 15 18 3 2.694 1.113 0.266
#> 169 3 2 -1 2.694 -0.371 0.711
#> 170 1 2 1 2.694 0.371 0.711
#> 171 2 0 -2 2.694 -0.742 0.458
#> 172 20 15 -5 2.694 -1.856 0.063
#> 173 10 12 2 2.694 0.742 0.458
#> 174 9 3 -6 2.694 -2.227 0.026
#> 175 5 15 10 2.694 3.712 0
#> 176 9 7 -2 2.694 -0.742 0.458
#> 177 15 16 1 2.694 0.371 0.711
#> 178 2 5 3 2.694 1.113 0.266
#> 179 18 20 2 2.694 0.742 0.458
#> 180 10 8 -2 2.694 -0.742 0.458
#> 181 6 6 0 2.694 0.000 1
#> 182 3 5 2 2.694 0.742 0.458
#> 183 9 7 -2 2.694 -0.742 0.458
#> 184 7 10 3 2.694 1.113 0.266
#> 185 6 3 -3 2.694 -1.113 0.266
#> 186 7 5 -2 2.694 -0.742 0.458
#> 187 7 4 -3 2.694 -1.113 0.266
#> 188 10 9 -1 2.694 -0.371 0.711
#> 189 17 12 -5 2.694 -1.856 0.063
#> 190 2 4 2 2.694 0.742 0.458
#> 191 16 15 -1 2.694 -0.371 0.711
#> 192 6 9 3 2.694 1.113 0.266
#> 193 10 13 3 2.694 1.113 0.266
#> 194 2 7 5 2.694 1.856 0.063
#> 195 5 3 -2 2.694 -0.742 0.458
#> 196 12 8 -4 2.694 -1.485 0.138
#> 197 5 1 -4 2.694 -1.485 0.138
#> 198 5 2 -3 2.694 -1.113 0.266
#> 199 17 17 0 2.694 0.000 1
#> 200 4 2 -2 2.694 -0.742 0.458
#> 201 13 13 0 2.694 0.000 1
#> 202 14 12 -2 2.694 -0.742 0.458
#> 203 2 2 0 2.694 0.000 1
#> 204 11 9 -2 2.694 -0.742 0.458
#> 205 10 11 1 2.694 0.371 0.711
#> 206 13 11 -2 2.694 -0.742 0.458
#> 207 17 18 1 2.694 0.371 0.711
#> 208 14 15 1 2.694 0.371 0.711
#> 209 18 18 0 2.694 0.000 1
#> 210 2 0 -2 2.694 -0.742 0.458
#> 211 9 11 2 2.694 0.742 0.458
#> 212 10 12 2 2.694 0.742 0.458
#> 213 16 14 -2 2.694 -0.742 0.458
#> 214 2 2 0 2.694 0.000 1
#> 215 3 4 1 2.694 0.371 0.711
#> 216 15 17 2 2.694 0.742 0.458
#> 217 14 12 -2 2.694 -0.742 0.458
#> 218 3 5 2 2.694 0.742 0.458
#> 219 9 8 -1 2.694 -0.371 0.711
#> 220 0 1 1 2.694 0.371 0.711
#> 221 14 12 -2 2.694 -0.742 0.458
#> 222 2 1 -1 2.694 -0.371 0.711
#> 223 5 10 5 2.694 1.856 0.063
#> 224 8 15 7 2.694 2.598 0.009
#> 225 12 14 2 2.694 0.742 0.458
#> 226 14 14 0 2.694 0.000 1
#> 227 11 11 0 2.694 0.000 1
#> 228 9 9 0 2.694 0.000 1
#> 229 17 15 -2 2.694 -0.742 0.458
#> 230 2 2 0 2.694 0.000 1
#> 231 6 9 3 2.694 1.113 0.266
#> 232 9 14 5 2.694 1.856 0.063
#> 233 13 13 0 2.694 0.000 1
#> 234 13 17 4 2.694 1.485 0.138
#> 235 13 6 -7 2.694 -2.598 0.009
#> 236 8 8 0 2.694 0.000 1
#> 237 8 9 1 2.694 0.371 0.711
#> 238 6 12 6 2.694 2.227 0.026
#> 239 9 9 0 2.694 0.000 1
#> 240 7 12 5 2.694 1.856 0.063
#> 241 18 18 0 2.694 0.000 1
#> 242 4 3 -1 2.694 -0.371 0.711
#> 243 1 2 1 2.694 0.371 0.711
#> 244 3 1 -2 2.694 -0.742 0.458
#> 245 6 5 -1 2.694 -0.371 0.711
#> 246 4 4 0 2.694 0.000 1
#> 247 17 17 0 2.694 0.000 1
#> 248 20 18 -2 2.694 -0.742 0.458
#> 249 8 10 2 2.694 0.742 0.458
#> 250 15 18 3 2.694 1.113 0.266
#> 251 15 13 -2 2.694 -0.742 0.458
#> 252 8 8 0 2.694 0.000 1
#> 253 8 8 0 2.694 0.000 1
#> 254 11 13 2 2.694 0.742 0.458
#> 255 18 16 -2 2.694 -0.742 0.458
#> 256 10 11 1 2.694 0.371 0.711
#> 257 18 16 -2 2.694 -0.742 0.458
#> 258 10 11 1 2.694 0.371 0.711
#> 259 4 3 -1 2.694 -0.371 0.711
#> 260 11 14 3 2.694 1.113 0.266
#> 261 14 11 -3 2.694 -1.113 0.266
#> 262 14 13 -1 2.694 -0.371 0.711
#> 263 19 17 -2 2.694 -0.742 0.458
#> 264 4 6 2 2.694 0.742 0.458
#> 265 17 17 0 2.694 0.000 1
#> 266 9 12 3 2.694 1.113 0.266
#> 267 4 7 3 2.694 1.113 0.266
#> 268 15 12 -3 2.694 -1.113 0.266
#> 269 7 7 0 2.694 0.000 1
#> 270 8 11 3 2.694 1.113 0.266
#> 271 1 2 1 2.694 0.371 0.711
#> 272 8 6 -2 2.694 -0.742 0.458
#> 273 6 6 0 2.694 0.000 1
#> 274 17 16 -1 2.694 -0.371 0.711
#> 275 13 11 -2 2.694 -0.742 0.458
#> 276 2 1 -1 2.694 -0.371 0.711
#> 277 9 10 1 2.694 0.371 0.711
#> 278 2 0 -2 2.694 -0.742 0.458
#> 279 11 13 2 2.694 0.742 0.458
#> 280 17 17 0 2.694 0.000 1
#> 281 16 16 0 2.694 0.000 1
#> 282 14 15 1 2.694 0.371 0.711
#> 283 15 16 1 2.694 0.371 0.711
#> 284 4 1 -3 2.694 -1.113 0.266
#> 285 17 18 1 2.694 0.371 0.711
#> 286 10 7 -3 2.694 -1.113 0.266
#> 287 12 15 3 2.694 1.113 0.266
#> 288 15 17 2 2.694 0.742 0.458
#> 289 17 15 -2 2.694 -0.742 0.458
#> 290 14 11 -3 2.694 -1.113 0.266
#> 291 15 12 -3 2.694 -1.113 0.266
#> 292 10 10 0 2.694 0.000 1
#> 293 0 2 2 2.694 0.742 0.458
#> 294 12 8 -4 2.694 -1.485 0.138
#> 295 4 7 3 2.694 1.113 0.266
#> 296 15 15 0 2.694 0.000 1
#> 297 18 17 -1 2.694 -0.371 0.711
#> 298 9 7 -2 2.694 -0.742 0.458
#> 299 18 12 -6 2.694 -2.227 0.026
#> 300 0 1 1 2.694 0.371 0.711
#> 301 4 11 7 2.694 2.598 0.009
#> 302 10 8 -2 2.694 -0.742 0.458
#> 303 5 2 -3 2.694 -1.113 0.266
#> 304 19 17 -2 2.694 -0.742 0.458
#> 305 11 6 -5 2.694 -1.856 0.063
#> 306 15 15 0 2.694 0.000 1
#> 307 10 12 2 2.694 0.742 0.458
#> 308 11 8 -3 2.694 -1.113 0.266
#> 309 10 7 -3 2.694 -1.113 0.266
#> 310 8 6 -2 2.694 -0.742 0.458
#> 311 14 15 1 2.694 0.371 0.711
#> 312 16 11 -5 2.694 -1.856 0.063
#> 313 6 4 -2 2.694 -0.742 0.458
#> 314 11 11 0 2.694 0.000 1
#> 315 7 7 0 2.694 0.000 1
#> 316 9 11 2 2.694 0.742 0.458
#> 317 7 11 4 2.694 1.485 0.138
#> 318 1 5 4 2.694 1.485 0.138
#> 319 10 9 -1 2.694 -0.371 0.711
#> 320 13 10 -3 2.694 -1.113 0.266
#> 321 13 10 -3 2.694 -1.113 0.266
#> 322 13 9 -4 2.694 -1.485 0.138
#> 323 1 2 1 2.694 0.371 0.711
#> 324 13 13 0 2.694 0.000 1
#> 325 13 13 0 2.694 0.000 1
#> 326 13 13 0 2.694 0.000 1
#> 327 7 6 -1 2.694 -0.371 0.711
#> 328 9 12 3 2.694 1.113 0.266
#> 329 13 13 0 2.694 0.000 1
#> 330 6 14 8 2.694 2.969 0.003
#> 331 12 14 2 2.694 0.742 0.458
#> 332 9 5 -4 2.694 -1.485 0.138
#> 333 13 12 -1 2.694 -0.371 0.711
#> 334 13 14 1 2.694 0.371 0.711
#> 335 9 11 2 2.694 0.742 0.458
#> 336 10 9 -1 2.694 -0.371 0.711
#> 337 12 13 1 2.694 0.371 0.711
#> 338 16 14 -2 2.694 -0.742 0.458
#> 339 6 10 4 2.694 1.485 0.138
#> 340 17 15 -2 2.694 -0.742 0.458
#> 341 12 14 2 2.694 0.742 0.458
#> 342 6 5 -1 2.694 -0.371 0.711
#> 343 5 9 4 2.694 1.485 0.138
#> 344 5 4 -1 2.694 -0.371 0.711
#> 345 6 9 3 2.694 1.113 0.266
#> 346 12 8 -4 2.694 -1.485 0.138
#> 347 12 13 1 2.694 0.371 0.711
#> 348 8 11 3 2.694 1.113 0.266
#> 349 5 6 1 2.694 0.371 0.711
#> 350 11 12 1 2.694 0.371 0.711
#> 351 9 7 -2 2.694 -0.742 0.458
#> 352 18 16 -2 2.694 -0.742 0.458
#> 353 9 11 2 2.694 0.742 0.458
#> 354 4 3 -1 2.694 -0.371 0.711
#> 355 12 17 5 2.694 1.856 0.063
#> 356 16 15 -1 2.694 -0.371 0.711
#> 357 9 13 4 2.694 1.485 0.138
#> 358 10 7 -3 2.694 -1.113 0.266
#> 359 1 3 2 2.694 0.742 0.458
#> 360 10 12 2 2.694 0.742 0.458
#> 361 5 5 0 2.694 0.000 1
#> 362 13 15 2 2.694 0.742 0.458
#> 363 9 12 3 2.694 1.113 0.266
#> 364 13 14 1 2.694 0.371 0.711
#> 365 9 5 -4 2.694 -1.485 0.138
#> 366 17 17 0 2.694 0.000 1
#> 367 4 2 -2 2.694 -0.742 0.458
#> 368 12 9 -3 2.694 -1.113 0.266
#> 369 3 10 7 2.694 2.598 0.009
#> 370 12 12 0 2.694 0.000 1
#> 371 14 18 4 2.694 1.485 0.138
#> 372 10 11 1 2.694 0.371 0.711
#> 373 7 9 2 2.694 0.742 0.458
#> 374 4 6 2 2.694 0.742 0.458
#> 375 10 5 -5 2.694 -1.856 0.063
#> 376 16 14 -2 2.694 -0.742 0.458
#> 377 15 15 0 2.694 0.000 1
#> 378 13 12 -1 2.694 -0.371 0.711
#> 379 0 3 3 2.694 1.113 0.266
#> 380 7 8 1 2.694 0.371 0.711
#> 381 6 7 1 2.694 0.371 0.711
#> 382 6 6 0 2.694 0.000 1
#> 383 6 8 2 2.694 0.742 0.458
#> 384 4 4 0 2.694 0.000 1
#> 385 3 4 1 2.694 0.371 0.711
#> 386 2 7 5 2.694 1.856 0.063
#> 387 9 9 0 2.694 0.000 1
#> 388 19 14 -5 2.694 -1.856 0.063
#> 389 3 6 3 2.694 1.113 0.266
#> 390 0 2 2 2.694 0.742 0.458
#> 391 15 14 -1 2.694 -0.371 0.711
#> 392 11 4 -7 2.694 -2.598 0.009
#> 393 5 6 1 2.694 0.371 0.711
#> 394 2 1 -1 2.694 -0.371 0.711
#> 395 7 13 6 2.694 2.227 0.026
#> 396 13 11 -2 2.694 -0.742 0.458
#> 397 15 14 -1 2.694 -0.371 0.711
#> 398 2 4 2 2.694 0.742 0.458
#> 399 13 6 -7 2.694 -2.598 0.009
#> 400 15 9 -6 2.694 -2.227 0.026
#> 401 7 8 1 2.694 0.371 0.711
#> 402 3 3 0 2.694 0.000 1
#> 403 9 12 3 2.694 1.113 0.266
#> 404 17 17 0 2.694 0.000 1
#> 405 1 4 3 2.694 1.113 0.266
#> 406 4 2 -2 2.694 -0.742 0.458
#> 407 7 10 3 2.694 1.113 0.266
#> 408 7 11 4 2.694 1.485 0.138
#> 409 12 12 0 2.694 0.000 1
#> 410 8 6 -2 2.694 -0.742 0.458
#> 411 8 4 -4 2.694 -1.485 0.138
#> 412 14 11 -3 2.694 -1.113 0.266
#> 413 5 3 -2 2.694 -0.742 0.458
#> 414 16 17 1 2.694 0.371 0.711
#> 415 11 15 4 2.694 1.485 0.138
#> 416 15 12 -3 2.694 -1.113 0.266
#> 417 14 15 1 2.694 0.371 0.711
#> 418 5 6 1 2.694 0.371 0.711
#> 419 5 10 5 2.694 1.856 0.063
#> 420 10 13 3 2.694 1.113 0.266
#> 421 3 2 -1 2.694 -0.371 0.711
#> 422 17 17 0 2.694 0.000 1
#> 423 11 11 0 2.694 0.000 1
#> 424 14 13 -1 2.694 -0.371 0.711
#> 425 16 9 -7 2.694 -2.598 0.009
#> 426 15 16 1 2.694 0.371 0.711
#> 427 11 7 -4 2.694 -1.485 0.138
#> 428 8 11 3 2.694 1.113 0.266
#> 429 13 13 0 2.694 0.000 1
#> 430 10 10 0 2.694 0.000 1
#> 431 15 14 -1 2.694 -0.371 0.711
#> 432 1 4 3 2.694 1.113 0.266
#> 433 3 3 0 2.694 0.000 1
#> 434 11 15 4 2.694 1.485 0.138
#> 435 3 4 1 2.694 0.371 0.711
#> 436 6 11 5 2.694 1.856 0.063
#> 437 2 0 -2 2.694 -0.742 0.458
#> 438 13 14 1 2.694 0.371 0.711
#> 439 18 14 -4 2.694 -1.485 0.138
#> 440 6 13 7 2.694 2.598 0.009
#> 441 14 12 -2 2.694 -0.742 0.458
#> 442 4 5 1 2.694 0.371 0.711
#> 443 10 9 -1 2.694 -0.371 0.711
#> 444 18 18 0 2.694 0.000 1
#> 445 17 16 -1 2.694 -0.371 0.711
#> 446 16 17 1 2.694 0.371 0.711
#> 447 0 0 0 2.694 0.000 1
#> 448 12 10 -2 2.694 -0.742 0.458
#> 449 4 7 3 2.694 1.113 0.266
#> 450 1 4 3 2.694 1.113 0.266
#> 451 19 18 -1 2.694 -0.371 0.711
#> 452 8 5 -3 2.694 -1.113 0.266
#> 453 8 11 3 2.694 1.113 0.266
#> 454 5 9 4 2.694 1.485 0.138
#> 455 18 17 -1 2.694 -0.371 0.711
#> 456 12 11 -1 2.694 -0.371 0.711
#> 457 5 9 4 2.694 1.485 0.138
#> 458 2 5 3 2.694 1.113 0.266
#> 459 1 2 1 2.694 0.371 0.711
#> 460 19 18 -1 2.694 -0.371 0.711
#> 461 15 17 2 2.694 0.742 0.458
#> 462 17 13 -4 2.694 -1.485 0.138
#> 463 13 15 2 2.694 0.742 0.458
#> 464 14 14 0 2.694 0.000 1
#> 465 6 9 3 2.694 1.113 0.266
#> 466 9 5 -4 2.694 -1.485 0.138
#> 467 16 15 -1 2.694 -0.371 0.711
#> 468 3 2 -1 2.694 -0.371 0.711
#> 469 1 7 6 2.694 2.227 0.026
#> 470 13 10 -3 2.694 -1.113 0.266
#> 471 5 4 -1 2.694 -0.371 0.711
#> 472 6 7 1 2.694 0.371 0.711
#> 473 20 19 -1 2.694 -0.371 0.711
#> 474 7 9 2 2.694 0.742 0.458
#> 475 1 1 0 2.694 0.000 1
#> 476 15 13 -2 2.694 -0.742 0.458
#> 477 16 11 -5 2.694 -1.856 0.063
#> 478 16 12 -4 2.694 -1.485 0.138
#> 479 11 10 -1 2.694 -0.371 0.711
#> 480 15 16 1 2.694 0.371 0.711
#> 481 7 8 1 2.694 0.371 0.711
#> 482 15 12 -3 2.694 -1.113 0.266
#> 483 15 16 1 2.694 0.371 0.711
#> 484 12 11 -1 2.694 -0.371 0.711
#> 485 12 10 -2 2.694 -0.742 0.458
#> 486 5 8 3 2.694 1.113 0.266
#> 487 8 12 4 2.694 1.485 0.138
#> 488 11 13 2 2.694 0.742 0.458
#> 489 16 17 1 2.694 0.371 0.711
#> 490 7 8 1 2.694 0.371 0.711
#> 491 19 18 -1 2.694 -0.371 0.711
#> 492 4 5 1 2.694 0.371 0.711
#> 493 19 16 -3 2.694 -1.113 0.266
#> 494 8 9 1 2.694 0.371 0.711
#> 495 10 15 5 2.694 1.856 0.063
#> 496 6 7 1 2.694 0.371 0.711
#> 497 11 8 -3 2.694 -1.113 0.266
#> 498 3 9 6 2.694 2.227 0.026
#> 499 8 8 0 2.694 0.000 1
#> 500 7 11 4 2.694 1.485 0.138
#> 501 13 16 3 2.694 1.113 0.266
#> 502 11 10 -1 2.694 -0.371 0.711
#> 503 0 1 1 2.694 0.371 0.711
#> 504 4 5 1 2.694 0.371 0.711
#> 505 4 6 2 2.694 0.742 0.458
#> 506 12 10 -2 2.694 -0.742 0.458
#> 507 18 16 -2 2.694 -0.742 0.458
#> 508 13 14 1 2.694 0.371 0.711
#> 509 5 7 2 2.694 0.742 0.458
#> 510 8 10 2 2.694 0.742 0.458
#> 511 6 10 4 2.694 1.485 0.138
#> 512 7 9 2 2.694 0.742 0.458
#> 513 5 5 0 2.694 0.000 1
#> 514 5 10 5 2.694 1.856 0.063
#> 515 9 11 2 2.694 0.742 0.458
#> 516 17 17 0 2.694 0.000 1
#> 517 14 13 -1 2.694 -0.371 0.711
#> 518 8 15 7 2.694 2.598 0.009
#> 519 14 14 0 2.694 0.000 1
#> 520 13 8 -5 2.694 -1.856 0.063
#> 521 14 12 -2 2.694 -0.742 0.458
#> 522 6 2 -4 2.694 -1.485 0.138
#> 523 17 14 -3 2.694 -1.113 0.266
#> 524 13 13 0 2.694 0.000 1
#> 525 14 14 0 2.694 0.000 1
#> 526 16 12 -4 2.694 -1.485 0.138
#> 527 12 10 -2 2.694 -0.742 0.458
#> 528 15 16 1 2.694 0.371 0.711
#> 529 13 10 -3 2.694 -1.113 0.266
#> 530 9 10 1 2.694 0.371 0.711
#> 531 12 7 -5 2.694 -1.856 0.063
#> 532 20 20 0 2.694 0.000 1
#> 533 17 12 -5 2.694 -1.856 0.063
#> 534 6 8 2 2.694 0.742 0.458
#> 535 19 18 -1 2.694 -0.371 0.711
#> 536 12 12 0 2.694 0.000 1
#> 537 10 7 -3 2.694 -1.113 0.266
#> 538 6 4 -2 2.694 -0.742 0.458
#> 539 8 8 0 2.694 0.000 1
#> 540 10 12 2 2.694 0.742 0.458
#> 541 4 7 3 2.694 1.113 0.266
#> 542 2 2 0 2.694 0.000 1
#> 543 6 5 -1 2.694 -0.371 0.711
#> 544 12 10 -2 2.694 -0.742 0.458
#> 545 4 5 1 2.694 0.371 0.711
#> 546 11 10 -1 2.694 -0.371 0.711
#> 547 14 12 -2 2.694 -0.742 0.458
#> 548 13 15 2 2.694 0.742 0.458
#> 549 12 9 -3 2.694 -1.113 0.266
#> 550 11 11 0 2.694 0.000 1
#> 551 8 2 -6 2.694 -2.227 0.026
#> 552 14 15 1 2.694 0.371 0.711
#> 553 11 14 3 2.694 1.113 0.266
#> 554 13 12 -1 2.694 -0.371 0.711
#> 555 2 3 1 2.694 0.371 0.711
#> 556 9 13 4 2.694 1.485 0.138
#> 557 10 11 1 2.694 0.371 0.711
#> 558 8 12 4 2.694 1.485 0.138
#> 559 11 12 1 2.694 0.371 0.711
#> 560 19 18 -1 2.694 -0.371 0.711
#> 561 12 12 0 2.694 0.000 1
#> 562 12 8 -4 2.694 -1.485 0.138
#> 563 3 6 3 2.694 1.113 0.266
#> 564 4 0 -4 2.694 -1.485 0.138
#> 565 14 14 0 2.694 0.000 1
#> 566 3 4 1 2.694 0.371 0.711
#> 567 18 16 -2 2.694 -0.742 0.458
#> 568 3 2 -1 2.694 -0.371 0.711
#> 569 17 19 2 2.694 0.742 0.458
#> 570 10 8 -2 2.694 -0.742 0.458
#> 571 16 13 -3 2.694 -1.113 0.266
#> 572 8 8 0 2.694 0.000 1
#> 573 15 17 2 2.694 0.742 0.458
#> 574 7 12 5 2.694 1.856 0.063
#> 575 6 2 -4 2.694 -1.485 0.138
#> 576 11 14 3 2.694 1.113 0.266
#> 577 13 12 -1 2.694 -0.371 0.711
#> 578 17 14 -3 2.694 -1.113 0.266
#> 579 5 9 4 2.694 1.485 0.138
#> 580 12 17 5 2.694 1.856 0.063
#> 581 11 10 -1 2.694 -0.371 0.711
#> 582 6 12 6 2.694 2.227 0.026
#> 583 11 13 2 2.694 0.742 0.458
#> 584 16 18 2 2.694 0.742 0.458
#> 585 8 6 -2 2.694 -0.742 0.458
#> 586 7 9 2 2.694 0.742 0.458
#> 587 12 11 -1 2.694 -0.371 0.711
#> 588 9 7 -2 2.694 -0.742 0.458
#> 589 9 6 -3 2.694 -1.113 0.266
#> 590 14 13 -1 2.694 -0.371 0.711
#> 591 15 15 0 2.694 0.000 1
#> 592 19 15 -4 2.694 -1.485 0.138
#> 593 6 7 1 2.694 0.371 0.711
#> 594 4 3 -1 2.694 -0.371 0.711
#> 595 4 6 2 2.694 0.742 0.458
#> 596 4 3 -1 2.694 -0.371 0.711
#> 597 4 4 0 2.694 0.000 1
#> 598 10 6 -4 2.694 -1.485 0.138
#> 599 8 14 6 2.694 2.227 0.026
#> 600 9 12 3 2.694 1.113 0.266
#> 601 10 12 2 2.694 0.742 0.458
#> 602 12 9 -3 2.694 -1.113 0.266
#> 603 13 9 -4 2.694 -1.485 0.138
#> 604 11 11 0 2.694 0.000 1
#> 605 2 4 2 2.694 0.742 0.458
#> 606 16 14 -2 2.694 -0.742 0.458
#> 607 2 1 -1 2.694 -0.371 0.711
#> 608 3 2 -1 2.694 -0.371 0.711
#> 609 6 4 -2 2.694 -0.742 0.458
#> 610 15 11 -4 2.694 -1.485 0.138
#> 611 7 6 -1 2.694 -0.371 0.711
#> 612 14 18 4 2.694 1.485 0.138
#> 613 7 14 7 2.694 2.598 0.009
#> 614 18 14 -4 2.694 -1.485 0.138
#> 615 9 6 -3 2.694 -1.113 0.266
#> 616 11 11 0 2.694 0.000 1
#> 617 6 2 -4 2.694 -1.485 0.138
#> 618 10 7 -3 2.694 -1.113 0.266
#> 619 3 2 -1 2.694 -0.371 0.711
#> 620 8 4 -4 2.694 -1.485 0.138
#> 621 8 10 2 2.694 0.742 0.458
#> 622 16 16 0 2.694 0.000 1
#> 623 4 2 -2 2.694 -0.742 0.458
#> 624 13 15 2 2.694 0.742 0.458
#> 625 11 11 0 2.694 0.000 1
#> 626 14 13 -1 2.694 -0.371 0.711
#> 627 4 8 4 2.694 1.485 0.138
#> 628 6 8 2 2.694 0.742 0.458
#> 629 15 9 -6 2.694 -2.227 0.026
#> 630 2 3 1 2.694 0.371 0.711
#> 631 2 3 1 2.694 0.371 0.711
#> 632 8 6 -2 2.694 -0.742 0.458
#> 633 8 4 -4 2.694 -1.485 0.138
#> 634 12 18 6 2.694 2.227 0.026
#> 635 15 15 0 2.694 0.000 1
#> 636 10 10 0 2.694 0.000 1
#> 637 3 3 0 2.694 0.000 1
#> 638 14 15 1 2.694 0.371 0.711
#> 639 9 6 -3 2.694 -1.113 0.266
#> 640 2 5 3 2.694 1.113 0.266
#> 641 14 17 3 2.694 1.113 0.266
#> 642 4 2 -2 2.694 -0.742 0.458
#> 643 12 13 1 2.694 0.371 0.711
#> 644 10 7 -3 2.694 -1.113 0.266
#> 645 3 4 1 2.694 0.371 0.711
#> 646 4 2 -2 2.694 -0.742 0.458
#> 647 2 6 4 2.694 1.485 0.138
#> 648 11 8 -3 2.694 -1.113 0.266
#> 649 10 10 0 2.694 0.000 1
#> 650 17 17 0 2.694 0.000 1
#> 651 8 10 2 2.694 0.742 0.458
#> 652 8 9 1 2.694 0.371 0.711
#> 653 17 17 0 2.694 0.000 1
#> 654 15 13 -2 2.694 -0.742 0.458
#> 655 14 19 5 2.694 1.856 0.063
#> 656 10 14 4 2.694 1.485 0.138
#> 657 12 13 1 2.694 0.371 0.711
#> 658 7 12 5 2.694 1.856 0.063
#> 659 11 12 1 2.694 0.371 0.711
#> 660 13 10 -3 2.694 -1.113 0.266
#> 661 7 7 0 2.694 0.000 1
#> 662 8 6 -2 2.694 -0.742 0.458
#> 663 7 5 -2 2.694 -0.742 0.458
#> 664 14 10 -4 2.694 -1.485 0.138
#> 665 17 19 2 2.694 0.742 0.458
#> 666 9 6 -3 2.694 -1.113 0.266
#> 667 3 3 0 2.694 0.000 1
#> 668 15 11 -4 2.694 -1.485 0.138
#> 669 7 8 1 2.694 0.371 0.711
#> 670 12 12 0 2.694 0.000 1
#> 671 13 13 0 2.694 0.000 1
#> 672 16 20 4 2.694 1.485 0.138
#> 673 13 9 -4 2.694 -1.485 0.138
#> 674 14 16 2 2.694 0.742 0.458
#> 675 7 2 -5 2.694 -1.856 0.063
#> 676 10 6 -4 2.694 -1.485 0.138
#> 677 10 12 2 2.694 0.742 0.458
#> 678 8 9 1 2.694 0.371 0.711
#> 679 4 7 3 2.694 1.113 0.266
#> 680 2 4 2 2.694 0.742 0.458
#> 681 13 10 -3 2.694 -1.113 0.266
#> 682 5 12 7 2.694 2.598 0.009
#> 683 5 6 1 2.694 0.371 0.711
#> 684 10 7 -3 2.694 -1.113 0.266
#> 685 13 12 -1 2.694 -0.371 0.711
#> 686 17 19 2 2.694 0.742 0.458
#> 687 11 12 1 2.694 0.371 0.711
#> 688 4 10 6 2.694 2.227 0.026
#> 689 6 4 -2 2.694 -0.742 0.458
#> 690 3 5 2 2.694 0.742 0.458
#> 691 11 14 3 2.694 1.113 0.266
#> 692 7 2 -5 2.694 -1.856 0.063
#> 693 8 10 2 2.694 0.742 0.458
#> 694 13 11 -2 2.694 -0.742 0.458
#> 695 13 16 3 2.694 1.113 0.266
#> 696 16 15 -1 2.694 -0.371 0.711
#> 697 16 12 -4 2.694 -1.485 0.138
#> 698 3 3 0 2.694 0.000 1
#> 699 12 15 3 2.694 1.113 0.266
#> 700 12 16 4 2.694 1.485 0.138
#> 701 3 3 0 2.694 0.000 1
#> 702 20 20 0 2.694 0.000 1
#> 703 7 10 3 2.694 1.113 0.266
#> 704 9 13 4 2.694 1.485 0.138
#> 705 5 7 2 2.694 0.742 0.458
#> 706 2 2 0 2.694 0.000 1
#> 707 13 16 3 2.694 1.113 0.266
#> 708 5 7 2 2.694 0.742 0.458
#> 709 8 7 -1 2.694 -0.371 0.711
#> 710 15 18 3 2.694 1.113 0.266
#> 711 3 1 -2 2.694 -0.742 0.458
#> 712 5 5 0 2.694 0.000 1
#> 713 5 3 -2 2.694 -0.742 0.458
#> 714 15 16 1 2.694 0.371 0.711
#> 715 12 10 -2 2.694 -0.742 0.458
#> 716 9 6 -3 2.694 -1.113 0.266
#> 717 5 2 -3 2.694 -1.113 0.266
#> 718 3 4 1 2.694 0.371 0.711
#> 719 2 6 4 2.694 1.485 0.138
#> 720 4 6 2 2.694 0.742 0.458
#> 721 10 12 2 2.694 0.742 0.458
#> 722 16 14 -2 2.694 -0.742 0.458
#> 723 3 2 -1 2.694 -0.371 0.711
#> 724 13 8 -5 2.694 -1.856 0.063
#> 725 17 15 -2 2.694 -0.742 0.458
#> 726 8 8 0 2.694 0.000 1
#> 727 8 10 2 2.694 0.742 0.458
#> 728 16 12 -4 2.694 -1.485 0.138
#> 729 11 15 4 2.694 1.485 0.138
#> 730 4 8 4 2.694 1.485 0.138
#> 731 5 6 1 2.694 0.371 0.711
#> 732 4 3 -1 2.694 -0.371 0.711
#> 733 8 6 -2 2.694 -0.742 0.458
#> 734 18 19 1 2.694 0.371 0.711
#> 735 10 11 1 2.694 0.371 0.711
#> 736 10 12 2 2.694 0.742 0.458
#> 737 18 20 2 2.694 0.742 0.458
#> 738 11 5 -6 2.694 -2.227 0.026
#> 739 17 17 0 2.694 0.000 1
#> 740 3 5 2 2.694 0.742 0.458
#> 741 15 15 0 2.694 0.000 1
#> 742 8 9 1 2.694 0.371 0.711
#> 743 9 5 -4 2.694 -1.485 0.138
#> 744 16 13 -3 2.694 -1.113 0.266
#> 745 14 13 -1 2.694 -0.371 0.711
#> 746 8 6 -2 2.694 -0.742 0.458
#> 747 5 9 4 2.694 1.485 0.138
#> 748 3 1 -2 2.694 -0.742 0.458
#> 749 6 7 1 2.694 0.371 0.711
#> 750 17 13 -4 2.694 -1.485 0.138
#> 751 15 15 0 2.694 0.000 1
#> 752 5 6 1 2.694 0.371 0.711
#> 753 9 11 2 2.694 0.742 0.458
#> 754 16 14 -2 2.694 -0.742 0.458
#> 755 12 12 0 2.694 0.000 1
#> 756 12 14 2 2.694 0.742 0.458
#> 757 14 9 -5 2.694 -1.856 0.063
#> 758 12 15 3 2.694 1.113 0.266
#> 759 1 0 -1 2.694 -0.371 0.711
#> 760 13 17 4 2.694 1.485 0.138
#> 761 17 19 2 2.694 0.742 0.458
#> 762 4 4 0 2.694 0.000 1
#> 763 10 7 -3 2.694 -1.113 0.266
#> 764 15 15 0 2.694 0.000 1
#> 765 10 12 2 2.694 0.742 0.458
#> 766 2 2 0 2.694 0.000 1
#> 767 16 16 0 2.694 0.000 1
#> 768 14 13 -1 2.694 -0.371 0.711
#> 769 15 15 0 2.694 0.000 1
#> 770 7 3 -4 2.694 -1.485 0.138
#> 771 7 3 -4 2.694 -1.485 0.138
#> 772 15 14 -1 2.694 -0.371 0.711
#> 773 11 12 1 2.694 0.371 0.711
#> 774 2 1 -1 2.694 -0.371 0.711
#> 775 3 7 4 2.694 1.485 0.138
#> 776 16 16 0 2.694 0.000 1
#> 777 14 9 -5 2.694 -1.856 0.063
#> 778 14 14 0 2.694 0.000 1
#> 779 14 13 -1 2.694 -0.371 0.711
#> 780 13 9 -4 2.694 -1.485 0.138
#> 781 13 11 -2 2.694 -0.742 0.458
#> 782 5 13 8 2.694 2.969 0.003
#> 783 13 12 -1 2.694 -0.371 0.711
#> 784 8 7 -1 2.694 -0.371 0.711
#> 785 17 16 -1 2.694 -0.371 0.711
#> 786 10 11 1 2.694 0.371 0.711
#> 787 12 10 -2 2.694 -0.742 0.458
#> 788 7 9 2 2.694 0.742 0.458
#> 789 2 2 0 2.694 0.000 1
#> 790 1 3 2 2.694 0.742 0.458
#> 791 3 8 5 2.694 1.856 0.063
#> 792 14 16 2 2.694 0.742 0.458
#> 793 4 7 3 2.694 1.113 0.266
#> 794 15 17 2 2.694 0.742 0.458
#> 795 15 13 -2 2.694 -0.742 0.458
#> 796 7 8 1 2.694 0.371 0.711
#> 797 6 4 -2 2.694 -0.742 0.458
#> 798 7 6 -1 2.694 -0.371 0.711
#> 799 11 8 -3 2.694 -1.113 0.266
#> 800 8 12 4 2.694 1.485 0.138
#> 801 6 3 -3 2.694 -1.113 0.266
#> 802 7 2 -5 2.694 -1.856 0.063
#> 803 9 9 0 2.694 0.000 1
#> 804 17 14 -3 2.694 -1.113 0.266
#> 805 6 7 1 2.694 0.371 0.711
#> 806 14 13 -1 2.694 -0.371 0.711
#> 807 6 13 7 2.694 2.598 0.009
#> 808 7 9 2 2.694 0.742 0.458
#> 809 17 17 0 2.694 0.000 1
#> 810 3 6 3 2.694 1.113 0.266
#> 811 15 18 3 2.694 1.113 0.266
#> 812 10 10 0 2.694 0.000 1
#> 813 7 2 -5 2.694 -1.856 0.063
#> 814 13 14 1 2.694 0.371 0.711
#> 815 8 10 2 2.694 0.742 0.458
#> 816 7 7 0 2.694 0.000 1
#> 817 15 5 -10 2.694 -3.712 0
#> 818 11 11 0 2.694 0.000 1
#> 819 8 14 6 2.694 2.227 0.026
#> 820 7 5 -2 2.694 -0.742 0.458
#> 821 12 12 0 2.694 0.000 1
#> 822 10 13 3 2.694 1.113 0.266
#> 823 3 3 0 2.694 0.000 1
#> 824 17 18 1 2.694 0.371 0.711
#> 825 7 6 -1 2.694 -0.371 0.711
#> 826 5 7 2 2.694 0.742 0.458
#> 827 15 14 -1 2.694 -0.371 0.711
#> 828 3 7 4 2.694 1.485 0.138
#> 829 4 3 -1 2.694 -0.371 0.711
#> 830 20 17 -3 2.694 -1.113 0.266
#> 831 8 5 -3 2.694 -1.113 0.266
#> 832 13 18 5 2.694 1.856 0.063
#> 833 15 15 0 2.694 0.000 1
#> 834 16 17 1 2.694 0.371 0.711
#> 835 6 6 0 2.694 0.000 1
#> 836 16 16 0 2.694 0.000 1
#> 837 9 9 0 2.694 0.000 1
#> 838 10 16 6 2.694 2.227 0.026
#> 839 10 11 1 2.694 0.371 0.711
#> 840 16 17 1 2.694 0.371 0.711
#> 841 15 15 0 2.694 0.000 1
#> 842 13 13 0 2.694 0.000 1
#> 843 15 16 1 2.694 0.371 0.711
#> 844 10 7 -3 2.694 -1.113 0.266
#> 845 12 9 -3 2.694 -1.113 0.266
#> 846 12 12 0 2.694 0.000 1
#> 847 8 7 -1 2.694 -0.371 0.711
#> 848 7 3 -4 2.694 -1.485 0.138
#> 849 5 5 0 2.694 0.000 1
#> 850 19 16 -3 2.694 -1.113 0.266
#> 851 15 15 0 2.694 0.000 1
#> 852 13 8 -5 2.694 -1.856 0.063
#> 853 9 10 1 2.694 0.371 0.711
#> 854 8 8 0 2.694 0.000 1
#> 855 9 9 0 2.694 0.000 1
#> 856 12 13 1 2.694 0.371 0.711
#> 857 10 7 -3 2.694 -1.113 0.266
#> 858 13 10 -3 2.694 -1.113 0.266
#> 859 10 9 -1 2.694 -0.371 0.711
#> 860 5 8 3 2.694 1.113 0.266
#> 861 5 3 -2 2.694 -0.742 0.458
#> 862 13 14 1 2.694 0.371 0.711
#> 863 3 6 3 2.694 1.113 0.266
#> 864 8 4 -4 2.694 -1.485 0.138
#> 865 10 13 3 2.694 1.113 0.266
#> 866 12 12 0 2.694 0.000 1
#> 867 9 10 1 2.694 0.371 0.711
#> 868 11 13 2 2.694 0.742 0.458
#> 869 10 7 -3 2.694 -1.113 0.266
#> 870 13 13 0 2.694 0.000 1
#> 871 14 13 -1 2.694 -0.371 0.711
#> 872 8 10 2 2.694 0.742 0.458
#> 873 1 1 0 2.694 0.000 1
#> 874 7 13 6 2.694 2.227 0.026
#> 875 14 16 2 2.694 0.742 0.458
#> 876 9 8 -1 2.694 -0.371 0.711
#> 877 16 16 0 2.694 0.000 1
#> 878 14 15 1 2.694 0.371 0.711
#> 879 8 10 2 2.694 0.742 0.458
#> 880 6 2 -4 2.694 -1.485 0.138
#> 881 5 2 -3 2.694 -1.113 0.266
#> 882 6 10 4 2.694 1.485 0.138
#> 883 11 11 0 2.694 0.000 1
#> 884 6 5 -1 2.694 -0.371 0.711
#> 885 14 14 0 2.694 0.000 1
#> 886 3 7 4 2.694 1.485 0.138
#> 887 3 9 6 2.694 2.227 0.026
#> 888 10 7 -3 2.694 -1.113 0.266
#> 889 2 6 4 2.694 1.485 0.138
#> 890 15 11 -4 2.694 -1.485 0.138
#> 891 10 6 -4 2.694 -1.485 0.138
#> 892 10 10 0 2.694 0.000 1
#> 893 17 16 -1 2.694 -0.371 0.711
#> 894 11 12 1 2.694 0.371 0.711
#> 895 9 11 2 2.694 0.742 0.458
#> 896 15 13 -2 2.694 -0.742 0.458
#> 897 17 16 -1 2.694 -0.371 0.711
#> 898 7 9 2 2.694 0.742 0.458
#> 899 10 8 -2 2.694 -0.742 0.458
#> 900 6 5 -1 2.694 -0.371 0.711
#> 901 7 6 -1 2.694 -0.371 0.711
#> 902 16 19 3 2.694 1.113 0.266
#> 903 16 19 3 2.694 1.113 0.266
#> 904 12 9 -3 2.694 -1.113 0.266
#> 905 6 7 1 2.694 0.371 0.711
#> 906 19 20 1 2.694 0.371 0.711
#> 907 15 11 -4 2.694 -1.485 0.138
#> 908 10 5 -5 2.694 -1.856 0.063
#> 909 2 0 -2 2.694 -0.742 0.458
#> 910 18 10 -8 2.694 -2.969 0.003
#> 911 2 0 -2 2.694 -0.742 0.458
#> 912 20 17 -3 2.694 -1.113 0.266
#> 913 4 2 -2 2.694 -0.742 0.458
#> 914 16 17 1 2.694 0.371 0.711
#> 915 14 15 1 2.694 0.371 0.711
#> 916 18 13 -5 2.694 -1.856 0.063
#> 917 16 17 1 2.694 0.371 0.711
#> 918 15 18 3 2.694 1.113 0.266
#> 919 13 10 -3 2.694 -1.113 0.266
#> 920 11 8 -3 2.694 -1.113 0.266
#> 921 4 2 -2 2.694 -0.742 0.458
#> 922 6 10 4 2.694 1.485 0.138
#> 923 12 11 -1 2.694 -0.371 0.711
#> 924 18 18 0 2.694 0.000 1
#> 925 5 5 0 2.694 0.000 1
#> 926 19 19 0 2.694 0.000 1
#> 927 7 5 -2 2.694 -0.742 0.458
#> 928 9 3 -6 2.694 -2.227 0.026
#> 929 15 19 4 2.694 1.485 0.138
#> 930 15 9 -6 2.694 -2.227 0.026
#> 931 11 11 0 2.694 0.000 1
#> 932 12 10 -2 2.694 -0.742 0.458
#> 933 12 13 1 2.694 0.371 0.711
#> 934 9 6 -3 2.694 -1.113 0.266
#> 935 14 14 0 2.694 0.000 1
#> 936 6 7 1 2.694 0.371 0.711
#> 937 6 6 0 2.694 0.000 1
#> 938 8 10 2 2.694 0.742 0.458
#> 939 3 2 -1 2.694 -0.371 0.711
#> 940 11 10 -1 2.694 -0.371 0.711
#> 941 12 15 3 2.694 1.113 0.266
#> 942 13 14 1 2.694 0.371 0.711
#> 943 12 8 -4 2.694 -1.485 0.138
#> 944 15 13 -2 2.694 -0.742 0.458
#> 945 11 12 1 2.694 0.371 0.711
#> 946 11 11 0 2.694 0.000 1
#> 947 11 10 -1 2.694 -0.371 0.711
#> 948 10 13 3 2.694 1.113 0.266
#> 949 1 2 1 2.694 0.371 0.711
#> 950 7 12 5 2.694 1.856 0.063
#> 951 8 6 -2 2.694 -0.742 0.458
#> 952 15 12 -3 2.694 -1.113 0.266
#> 953 7 4 -3 2.694 -1.113 0.266
#> 954 2 6 4 2.694 1.485 0.138
#> 955 6 5 -1 2.694 -0.371 0.711
#> 956 3 3 0 2.694 0.000 1
#> 957 5 5 0 2.694 0.000 1
#> 958 6 6 0 2.694 0.000 1
#> 959 13 17 4 2.694 1.485 0.138
#> 960 6 7 1 2.694 0.371 0.711
#> 961 3 2 -1 2.694 -0.371 0.711
#> 962 12 11 -1 2.694 -0.371 0.711
#> 963 6 4 -2 2.694 -0.742 0.458
#> 964 17 12 -5 2.694 -1.856 0.063
#> 965 5 7 2 2.694 0.742 0.458
#> 966 13 16 3 2.694 1.113 0.266
#> 967 15 16 1 2.694 0.371 0.711
#> 968 12 9 -3 2.694 -1.113 0.266
#> 969 15 13 -2 2.694 -0.742 0.458
#> 970 14 16 2 2.694 0.742 0.458
#> 971 6 7 1 2.694 0.371 0.711
#> 972 16 16 0 2.694 0.000 1
#> 973 3 1 -2 2.694 -0.742 0.458
#> 974 5 5 0 2.694 0.000 1
#> 975 7 3 -4 2.694 -1.485 0.138
#> 976 13 13 0 2.694 0.000 1
#> 977 10 12 2 2.694 0.742 0.458
#> 978 2 4 2 2.694 0.742 0.458
#> 979 2 9 7 2.694 2.598 0.009
#> 980 10 9 -1 2.694 -0.371 0.711
#> 981 4 1 -3 2.694 -1.113 0.266
#> 982 7 4 -3 2.694 -1.113 0.266
#> 983 17 12 -5 2.694 -1.856 0.063
#> 984 18 16 -2 2.694 -0.742 0.458
#> 985 16 11 -5 2.694 -1.856 0.063
#> 986 5 3 -2 2.694 -0.742 0.458
#> 987 13 14 1 2.694 0.371 0.711
#> 988 11 8 -3 2.694 -1.113 0.266
#> 989 2 12 10 2.694 3.712 0
#> 990 9 11 2 2.694 0.742 0.458
#> 991 11 6 -5 2.694 -1.856 0.063
#> 992 11 10 -1 2.694 -0.371 0.711
#> 993 8 6 -2 2.694 -0.742 0.458
#> 994 1 4 3 2.694 1.113 0.266
#> 995 10 7 -3 2.694 -1.113 0.266
#> 996 11 5 -6 2.694 -2.227 0.026
#> 997 7 6 -1 2.694 -0.371 0.711
#> 998 10 12 2 2.694 0.742 0.458
#> 999 11 7 -4 2.694 -1.485 0.138
#> 1000 1 2 1 2.694 0.371 0.711
# Supplying only the total scores
TS_pre <- matrix(rowSums(dat_pre))
TS_post <- matrix(rowSums(dat_post))
RCI(predat = TS_pre, postdat = TS_post,
SEM.pre=SEM.alpha, SEM.post=SEM.alpha.post)
#> pre.score post.score diff SE z p
#> 1 18 19 1 2.694 0.371 0.711
#> 2 18 9 -9 2.694 -3.340 0.001
#> 3 15 9 -6 2.694 -2.227 0.026
#> 4 11 10 -1 2.694 -0.371 0.711
#> 5 4 5 1 2.694 0.371 0.711
#> 6 4 8 4 2.694 1.485 0.138
#> 7 11 8 -3 2.694 -1.113 0.266
#> 8 11 15 4 2.694 1.485 0.138
#> 9 3 3 0 2.694 0.000 1
#> 10 4 8 4 2.694 1.485 0.138
#> 11 1 5 4 2.694 1.485 0.138
#> 12 16 14 -2 2.694 -0.742 0.458
#> 13 12 10 -2 2.694 -0.742 0.458
#> 14 11 10 -1 2.694 -0.371 0.711
#> 15 17 18 1 2.694 0.371 0.711
#> 16 1 4 3 2.694 1.113 0.266
#> 17 10 8 -2 2.694 -0.742 0.458
#> 18 12 11 -1 2.694 -0.371 0.711
#> 19 15 12 -3 2.694 -1.113 0.266
#> 20 16 10 -6 2.694 -2.227 0.026
#> 21 7 6 -1 2.694 -0.371 0.711
#> 22 7 12 5 2.694 1.856 0.063
#> 23 2 4 2 2.694 0.742 0.458
#> 24 5 7 2 2.694 0.742 0.458
#> 25 14 15 1 2.694 0.371 0.711
#> 26 9 6 -3 2.694 -1.113 0.266
#> 27 17 17 0 2.694 0.000 1
#> 28 4 9 5 2.694 1.856 0.063
#> 29 14 16 2 2.694 0.742 0.458
#> 30 4 7 3 2.694 1.113 0.266
#> 31 2 0 -2 2.694 -0.742 0.458
#> 32 9 6 -3 2.694 -1.113 0.266
#> 33 20 20 0 2.694 0.000 1
#> 34 9 6 -3 2.694 -1.113 0.266
#> 35 3 4 1 2.694 0.371 0.711
#> 36 14 15 1 2.694 0.371 0.711
#> 37 8 9 1 2.694 0.371 0.711
#> 38 15 13 -2 2.694 -0.742 0.458
#> 39 9 12 3 2.694 1.113 0.266
#> 40 18 18 0 2.694 0.000 1
#> 41 11 10 -1 2.694 -0.371 0.711
#> 42 12 9 -3 2.694 -1.113 0.266
#> 43 8 7 -1 2.694 -0.371 0.711
#> 44 10 11 1 2.694 0.371 0.711
#> 45 7 10 3 2.694 1.113 0.266
#> 46 8 9 1 2.694 0.371 0.711
#> 47 6 8 2 2.694 0.742 0.458
#> 48 6 7 1 2.694 0.371 0.711
#> 49 6 8 2 2.694 0.742 0.458
#> 50 8 11 3 2.694 1.113 0.266
#> 51 13 17 4 2.694 1.485 0.138
#> 52 6 6 0 2.694 0.000 1
#> 53 19 13 -6 2.694 -2.227 0.026
#> 54 6 11 5 2.694 1.856 0.063
#> 55 9 8 -1 2.694 -0.371 0.711
#> 56 7 8 1 2.694 0.371 0.711
#> 57 9 6 -3 2.694 -1.113 0.266
#> 58 3 3 0 2.694 0.000 1
#> 59 10 8 -2 2.694 -0.742 0.458
#> 60 14 14 0 2.694 0.000 1
#> 61 12 12 0 2.694 0.000 1
#> 62 15 14 -1 2.694 -0.371 0.711
#> 63 13 12 -1 2.694 -0.371 0.711
#> 64 5 5 0 2.694 0.000 1
#> 65 5 4 -1 2.694 -0.371 0.711
#> 66 5 4 -1 2.694 -0.371 0.711
#> 67 18 14 -4 2.694 -1.485 0.138
#> 68 9 8 -1 2.694 -0.371 0.711
#> 69 11 9 -2 2.694 -0.742 0.458
#> 70 19 17 -2 2.694 -0.742 0.458
#> 71 9 5 -4 2.694 -1.485 0.138
#> 72 16 15 -1 2.694 -0.371 0.711
#> 73 10 9 -1 2.694 -0.371 0.711
#> 74 11 11 0 2.694 0.000 1
#> 75 14 10 -4 2.694 -1.485 0.138
#> 76 14 15 1 2.694 0.371 0.711
#> 77 5 4 -1 2.694 -0.371 0.711
#> 78 11 9 -2 2.694 -0.742 0.458
#> 79 15 10 -5 2.694 -1.856 0.063
#> 80 11 11 0 2.694 0.000 1
#> 81 10 8 -2 2.694 -0.742 0.458
#> 82 12 12 0 2.694 0.000 1
#> 83 11 11 0 2.694 0.000 1
#> 84 5 1 -4 2.694 -1.485 0.138
#> 85 7 9 2 2.694 0.742 0.458
#> 86 7 10 3 2.694 1.113 0.266
#> 87 3 7 4 2.694 1.485 0.138
#> 88 9 11 2 2.694 0.742 0.458
#> 89 8 9 1 2.694 0.371 0.711
#> 90 12 11 -1 2.694 -0.371 0.711
#> 91 6 1 -5 2.694 -1.856 0.063
#> 92 6 8 2 2.694 0.742 0.458
#> 93 3 5 2 2.694 0.742 0.458
#> 94 12 12 0 2.694 0.000 1
#> 95 18 16 -2 2.694 -0.742 0.458
#> 96 9 7 -2 2.694 -0.742 0.458
#> 97 8 11 3 2.694 1.113 0.266
#> 98 7 7 0 2.694 0.000 1
#> 99 12 11 -1 2.694 -0.371 0.711
#> 100 10 10 0 2.694 0.000 1
#> 101 5 5 0 2.694 0.000 1
#> 102 14 15 1 2.694 0.371 0.711
#> 103 9 9 0 2.694 0.000 1
#> 104 8 15 7 2.694 2.598 0.009
#> 105 2 3 1 2.694 0.371 0.711
#> 106 7 10 3 2.694 1.113 0.266
#> 107 12 12 0 2.694 0.000 1
#> 108 2 2 0 2.694 0.000 1
#> 109 14 13 -1 2.694 -0.371 0.711
#> 110 6 4 -2 2.694 -0.742 0.458
#> 111 15 10 -5 2.694 -1.856 0.063
#> 112 5 5 0 2.694 0.000 1
#> 113 15 18 3 2.694 1.113 0.266
#> 114 2 0 -2 2.694 -0.742 0.458
#> 115 9 12 3 2.694 1.113 0.266
#> 116 14 14 0 2.694 0.000 1
#> 117 10 7 -3 2.694 -1.113 0.266
#> 118 6 5 -1 2.694 -0.371 0.711
#> 119 12 9 -3 2.694 -1.113 0.266
#> 120 7 3 -4 2.694 -1.485 0.138
#> 121 9 12 3 2.694 1.113 0.266
#> 122 2 6 4 2.694 1.485 0.138
#> 123 9 6 -3 2.694 -1.113 0.266
#> 124 2 5 3 2.694 1.113 0.266
#> 125 12 12 0 2.694 0.000 1
#> 126 16 19 3 2.694 1.113 0.266
#> 127 13 14 1 2.694 0.371 0.711
#> 128 13 14 1 2.694 0.371 0.711
#> 129 14 15 1 2.694 0.371 0.711
#> 130 7 14 7 2.694 2.598 0.009
#> 131 10 11 1 2.694 0.371 0.711
#> 132 3 3 0 2.694 0.000 1
#> 133 15 15 0 2.694 0.000 1
#> 134 18 19 1 2.694 0.371 0.711
#> 135 2 5 3 2.694 1.113 0.266
#> 136 12 10 -2 2.694 -0.742 0.458
#> 137 12 14 2 2.694 0.742 0.458
#> 138 6 3 -3 2.694 -1.113 0.266
#> 139 13 9 -4 2.694 -1.485 0.138
#> 140 8 5 -3 2.694 -1.113 0.266
#> 141 18 17 -1 2.694 -0.371 0.711
#> 142 15 15 0 2.694 0.000 1
#> 143 7 9 2 2.694 0.742 0.458
#> 144 14 10 -4 2.694 -1.485 0.138
#> 145 3 5 2 2.694 0.742 0.458
#> 146 1 2 1 2.694 0.371 0.711
#> 147 5 6 1 2.694 0.371 0.711
#> 148 8 8 0 2.694 0.000 1
#> 149 13 15 2 2.694 0.742 0.458
#> 150 9 9 0 2.694 0.000 1
#> 151 8 9 1 2.694 0.371 0.711
#> 152 2 1 -1 2.694 -0.371 0.711
#> 153 3 3 0 2.694 0.000 1
#> 154 7 5 -2 2.694 -0.742 0.458
#> 155 16 13 -3 2.694 -1.113 0.266
#> 156 9 12 3 2.694 1.113 0.266
#> 157 15 17 2 2.694 0.742 0.458
#> 158 10 5 -5 2.694 -1.856 0.063
#> 159 8 10 2 2.694 0.742 0.458
#> 160 17 11 -6 2.694 -2.227 0.026
#> 161 14 8 -6 2.694 -2.227 0.026
#> 162 8 8 0 2.694 0.000 1
#> 163 3 5 2 2.694 0.742 0.458
#> 164 16 8 -8 2.694 -2.969 0.003
#> 165 9 7 -2 2.694 -0.742 0.458
#> 166 7 8 1 2.694 0.371 0.711
#> 167 15 15 0 2.694 0.000 1
#> 168 15 18 3 2.694 1.113 0.266
#> 169 3 2 -1 2.694 -0.371 0.711
#> 170 1 2 1 2.694 0.371 0.711
#> 171 2 0 -2 2.694 -0.742 0.458
#> 172 20 15 -5 2.694 -1.856 0.063
#> 173 10 12 2 2.694 0.742 0.458
#> 174 9 3 -6 2.694 -2.227 0.026
#> 175 5 15 10 2.694 3.712 0
#> 176 9 7 -2 2.694 -0.742 0.458
#> 177 15 16 1 2.694 0.371 0.711
#> 178 2 5 3 2.694 1.113 0.266
#> 179 18 20 2 2.694 0.742 0.458
#> 180 10 8 -2 2.694 -0.742 0.458
#> 181 6 6 0 2.694 0.000 1
#> 182 3 5 2 2.694 0.742 0.458
#> 183 9 7 -2 2.694 -0.742 0.458
#> 184 7 10 3 2.694 1.113 0.266
#> 185 6 3 -3 2.694 -1.113 0.266
#> 186 7 5 -2 2.694 -0.742 0.458
#> 187 7 4 -3 2.694 -1.113 0.266
#> 188 10 9 -1 2.694 -0.371 0.711
#> 189 17 12 -5 2.694 -1.856 0.063
#> 190 2 4 2 2.694 0.742 0.458
#> 191 16 15 -1 2.694 -0.371 0.711
#> 192 6 9 3 2.694 1.113 0.266
#> 193 10 13 3 2.694 1.113 0.266
#> 194 2 7 5 2.694 1.856 0.063
#> 195 5 3 -2 2.694 -0.742 0.458
#> 196 12 8 -4 2.694 -1.485 0.138
#> 197 5 1 -4 2.694 -1.485 0.138
#> 198 5 2 -3 2.694 -1.113 0.266
#> 199 17 17 0 2.694 0.000 1
#> 200 4 2 -2 2.694 -0.742 0.458
#> 201 13 13 0 2.694 0.000 1
#> 202 14 12 -2 2.694 -0.742 0.458
#> 203 2 2 0 2.694 0.000 1
#> 204 11 9 -2 2.694 -0.742 0.458
#> 205 10 11 1 2.694 0.371 0.711
#> 206 13 11 -2 2.694 -0.742 0.458
#> 207 17 18 1 2.694 0.371 0.711
#> 208 14 15 1 2.694 0.371 0.711
#> 209 18 18 0 2.694 0.000 1
#> 210 2 0 -2 2.694 -0.742 0.458
#> 211 9 11 2 2.694 0.742 0.458
#> 212 10 12 2 2.694 0.742 0.458
#> 213 16 14 -2 2.694 -0.742 0.458
#> 214 2 2 0 2.694 0.000 1
#> 215 3 4 1 2.694 0.371 0.711
#> 216 15 17 2 2.694 0.742 0.458
#> 217 14 12 -2 2.694 -0.742 0.458
#> 218 3 5 2 2.694 0.742 0.458
#> 219 9 8 -1 2.694 -0.371 0.711
#> 220 0 1 1 2.694 0.371 0.711
#> 221 14 12 -2 2.694 -0.742 0.458
#> 222 2 1 -1 2.694 -0.371 0.711
#> 223 5 10 5 2.694 1.856 0.063
#> 224 8 15 7 2.694 2.598 0.009
#> 225 12 14 2 2.694 0.742 0.458
#> 226 14 14 0 2.694 0.000 1
#> 227 11 11 0 2.694 0.000 1
#> 228 9 9 0 2.694 0.000 1
#> 229 17 15 -2 2.694 -0.742 0.458
#> 230 2 2 0 2.694 0.000 1
#> 231 6 9 3 2.694 1.113 0.266
#> 232 9 14 5 2.694 1.856 0.063
#> 233 13 13 0 2.694 0.000 1
#> 234 13 17 4 2.694 1.485 0.138
#> 235 13 6 -7 2.694 -2.598 0.009
#> 236 8 8 0 2.694 0.000 1
#> 237 8 9 1 2.694 0.371 0.711
#> 238 6 12 6 2.694 2.227 0.026
#> 239 9 9 0 2.694 0.000 1
#> 240 7 12 5 2.694 1.856 0.063
#> 241 18 18 0 2.694 0.000 1
#> 242 4 3 -1 2.694 -0.371 0.711
#> 243 1 2 1 2.694 0.371 0.711
#> 244 3 1 -2 2.694 -0.742 0.458
#> 245 6 5 -1 2.694 -0.371 0.711
#> 246 4 4 0 2.694 0.000 1
#> 247 17 17 0 2.694 0.000 1
#> 248 20 18 -2 2.694 -0.742 0.458
#> 249 8 10 2 2.694 0.742 0.458
#> 250 15 18 3 2.694 1.113 0.266
#> 251 15 13 -2 2.694 -0.742 0.458
#> 252 8 8 0 2.694 0.000 1
#> 253 8 8 0 2.694 0.000 1
#> 254 11 13 2 2.694 0.742 0.458
#> 255 18 16 -2 2.694 -0.742 0.458
#> 256 10 11 1 2.694 0.371 0.711
#> 257 18 16 -2 2.694 -0.742 0.458
#> 258 10 11 1 2.694 0.371 0.711
#> 259 4 3 -1 2.694 -0.371 0.711
#> 260 11 14 3 2.694 1.113 0.266
#> 261 14 11 -3 2.694 -1.113 0.266
#> 262 14 13 -1 2.694 -0.371 0.711
#> 263 19 17 -2 2.694 -0.742 0.458
#> 264 4 6 2 2.694 0.742 0.458
#> 265 17 17 0 2.694 0.000 1
#> 266 9 12 3 2.694 1.113 0.266
#> 267 4 7 3 2.694 1.113 0.266
#> 268 15 12 -3 2.694 -1.113 0.266
#> 269 7 7 0 2.694 0.000 1
#> 270 8 11 3 2.694 1.113 0.266
#> 271 1 2 1 2.694 0.371 0.711
#> 272 8 6 -2 2.694 -0.742 0.458
#> 273 6 6 0 2.694 0.000 1
#> 274 17 16 -1 2.694 -0.371 0.711
#> 275 13 11 -2 2.694 -0.742 0.458
#> 276 2 1 -1 2.694 -0.371 0.711
#> 277 9 10 1 2.694 0.371 0.711
#> 278 2 0 -2 2.694 -0.742 0.458
#> 279 11 13 2 2.694 0.742 0.458
#> 280 17 17 0 2.694 0.000 1
#> 281 16 16 0 2.694 0.000 1
#> 282 14 15 1 2.694 0.371 0.711
#> 283 15 16 1 2.694 0.371 0.711
#> 284 4 1 -3 2.694 -1.113 0.266
#> 285 17 18 1 2.694 0.371 0.711
#> 286 10 7 -3 2.694 -1.113 0.266
#> 287 12 15 3 2.694 1.113 0.266
#> 288 15 17 2 2.694 0.742 0.458
#> 289 17 15 -2 2.694 -0.742 0.458
#> 290 14 11 -3 2.694 -1.113 0.266
#> 291 15 12 -3 2.694 -1.113 0.266
#> 292 10 10 0 2.694 0.000 1
#> 293 0 2 2 2.694 0.742 0.458
#> 294 12 8 -4 2.694 -1.485 0.138
#> 295 4 7 3 2.694 1.113 0.266
#> 296 15 15 0 2.694 0.000 1
#> 297 18 17 -1 2.694 -0.371 0.711
#> 298 9 7 -2 2.694 -0.742 0.458
#> 299 18 12 -6 2.694 -2.227 0.026
#> 300 0 1 1 2.694 0.371 0.711
#> 301 4 11 7 2.694 2.598 0.009
#> 302 10 8 -2 2.694 -0.742 0.458
#> 303 5 2 -3 2.694 -1.113 0.266
#> 304 19 17 -2 2.694 -0.742 0.458
#> 305 11 6 -5 2.694 -1.856 0.063
#> 306 15 15 0 2.694 0.000 1
#> 307 10 12 2 2.694 0.742 0.458
#> 308 11 8 -3 2.694 -1.113 0.266
#> 309 10 7 -3 2.694 -1.113 0.266
#> 310 8 6 -2 2.694 -0.742 0.458
#> 311 14 15 1 2.694 0.371 0.711
#> 312 16 11 -5 2.694 -1.856 0.063
#> 313 6 4 -2 2.694 -0.742 0.458
#> 314 11 11 0 2.694 0.000 1
#> 315 7 7 0 2.694 0.000 1
#> 316 9 11 2 2.694 0.742 0.458
#> 317 7 11 4 2.694 1.485 0.138
#> 318 1 5 4 2.694 1.485 0.138
#> 319 10 9 -1 2.694 -0.371 0.711
#> 320 13 10 -3 2.694 -1.113 0.266
#> 321 13 10 -3 2.694 -1.113 0.266
#> 322 13 9 -4 2.694 -1.485 0.138
#> 323 1 2 1 2.694 0.371 0.711
#> 324 13 13 0 2.694 0.000 1
#> 325 13 13 0 2.694 0.000 1
#> 326 13 13 0 2.694 0.000 1
#> 327 7 6 -1 2.694 -0.371 0.711
#> 328 9 12 3 2.694 1.113 0.266
#> 329 13 13 0 2.694 0.000 1
#> 330 6 14 8 2.694 2.969 0.003
#> 331 12 14 2 2.694 0.742 0.458
#> 332 9 5 -4 2.694 -1.485 0.138
#> 333 13 12 -1 2.694 -0.371 0.711
#> 334 13 14 1 2.694 0.371 0.711
#> 335 9 11 2 2.694 0.742 0.458
#> 336 10 9 -1 2.694 -0.371 0.711
#> 337 12 13 1 2.694 0.371 0.711
#> 338 16 14 -2 2.694 -0.742 0.458
#> 339 6 10 4 2.694 1.485 0.138
#> 340 17 15 -2 2.694 -0.742 0.458
#> 341 12 14 2 2.694 0.742 0.458
#> 342 6 5 -1 2.694 -0.371 0.711
#> 343 5 9 4 2.694 1.485 0.138
#> 344 5 4 -1 2.694 -0.371 0.711
#> 345 6 9 3 2.694 1.113 0.266
#> 346 12 8 -4 2.694 -1.485 0.138
#> 347 12 13 1 2.694 0.371 0.711
#> 348 8 11 3 2.694 1.113 0.266
#> 349 5 6 1 2.694 0.371 0.711
#> 350 11 12 1 2.694 0.371 0.711
#> 351 9 7 -2 2.694 -0.742 0.458
#> 352 18 16 -2 2.694 -0.742 0.458
#> 353 9 11 2 2.694 0.742 0.458
#> 354 4 3 -1 2.694 -0.371 0.711
#> 355 12 17 5 2.694 1.856 0.063
#> 356 16 15 -1 2.694 -0.371 0.711
#> 357 9 13 4 2.694 1.485 0.138
#> 358 10 7 -3 2.694 -1.113 0.266
#> 359 1 3 2 2.694 0.742 0.458
#> 360 10 12 2 2.694 0.742 0.458
#> 361 5 5 0 2.694 0.000 1
#> 362 13 15 2 2.694 0.742 0.458
#> 363 9 12 3 2.694 1.113 0.266
#> 364 13 14 1 2.694 0.371 0.711
#> 365 9 5 -4 2.694 -1.485 0.138
#> 366 17 17 0 2.694 0.000 1
#> 367 4 2 -2 2.694 -0.742 0.458
#> 368 12 9 -3 2.694 -1.113 0.266
#> 369 3 10 7 2.694 2.598 0.009
#> 370 12 12 0 2.694 0.000 1
#> 371 14 18 4 2.694 1.485 0.138
#> 372 10 11 1 2.694 0.371 0.711
#> 373 7 9 2 2.694 0.742 0.458
#> 374 4 6 2 2.694 0.742 0.458
#> 375 10 5 -5 2.694 -1.856 0.063
#> 376 16 14 -2 2.694 -0.742 0.458
#> 377 15 15 0 2.694 0.000 1
#> 378 13 12 -1 2.694 -0.371 0.711
#> 379 0 3 3 2.694 1.113 0.266
#> 380 7 8 1 2.694 0.371 0.711
#> 381 6 7 1 2.694 0.371 0.711
#> 382 6 6 0 2.694 0.000 1
#> 383 6 8 2 2.694 0.742 0.458
#> 384 4 4 0 2.694 0.000 1
#> 385 3 4 1 2.694 0.371 0.711
#> 386 2 7 5 2.694 1.856 0.063
#> 387 9 9 0 2.694 0.000 1
#> 388 19 14 -5 2.694 -1.856 0.063
#> 389 3 6 3 2.694 1.113 0.266
#> 390 0 2 2 2.694 0.742 0.458
#> 391 15 14 -1 2.694 -0.371 0.711
#> 392 11 4 -7 2.694 -2.598 0.009
#> 393 5 6 1 2.694 0.371 0.711
#> 394 2 1 -1 2.694 -0.371 0.711
#> 395 7 13 6 2.694 2.227 0.026
#> 396 13 11 -2 2.694 -0.742 0.458
#> 397 15 14 -1 2.694 -0.371 0.711
#> 398 2 4 2 2.694 0.742 0.458
#> 399 13 6 -7 2.694 -2.598 0.009
#> 400 15 9 -6 2.694 -2.227 0.026
#> 401 7 8 1 2.694 0.371 0.711
#> 402 3 3 0 2.694 0.000 1
#> 403 9 12 3 2.694 1.113 0.266
#> 404 17 17 0 2.694 0.000 1
#> 405 1 4 3 2.694 1.113 0.266
#> 406 4 2 -2 2.694 -0.742 0.458
#> 407 7 10 3 2.694 1.113 0.266
#> 408 7 11 4 2.694 1.485 0.138
#> 409 12 12 0 2.694 0.000 1
#> 410 8 6 -2 2.694 -0.742 0.458
#> 411 8 4 -4 2.694 -1.485 0.138
#> 412 14 11 -3 2.694 -1.113 0.266
#> 413 5 3 -2 2.694 -0.742 0.458
#> 414 16 17 1 2.694 0.371 0.711
#> 415 11 15 4 2.694 1.485 0.138
#> 416 15 12 -3 2.694 -1.113 0.266
#> 417 14 15 1 2.694 0.371 0.711
#> 418 5 6 1 2.694 0.371 0.711
#> 419 5 10 5 2.694 1.856 0.063
#> 420 10 13 3 2.694 1.113 0.266
#> 421 3 2 -1 2.694 -0.371 0.711
#> 422 17 17 0 2.694 0.000 1
#> 423 11 11 0 2.694 0.000 1
#> 424 14 13 -1 2.694 -0.371 0.711
#> 425 16 9 -7 2.694 -2.598 0.009
#> 426 15 16 1 2.694 0.371 0.711
#> 427 11 7 -4 2.694 -1.485 0.138
#> 428 8 11 3 2.694 1.113 0.266
#> 429 13 13 0 2.694 0.000 1
#> 430 10 10 0 2.694 0.000 1
#> 431 15 14 -1 2.694 -0.371 0.711
#> 432 1 4 3 2.694 1.113 0.266
#> 433 3 3 0 2.694 0.000 1
#> 434 11 15 4 2.694 1.485 0.138
#> 435 3 4 1 2.694 0.371 0.711
#> 436 6 11 5 2.694 1.856 0.063
#> 437 2 0 -2 2.694 -0.742 0.458
#> 438 13 14 1 2.694 0.371 0.711
#> 439 18 14 -4 2.694 -1.485 0.138
#> 440 6 13 7 2.694 2.598 0.009
#> 441 14 12 -2 2.694 -0.742 0.458
#> 442 4 5 1 2.694 0.371 0.711
#> 443 10 9 -1 2.694 -0.371 0.711
#> 444 18 18 0 2.694 0.000 1
#> 445 17 16 -1 2.694 -0.371 0.711
#> 446 16 17 1 2.694 0.371 0.711
#> 447 0 0 0 2.694 0.000 1
#> 448 12 10 -2 2.694 -0.742 0.458
#> 449 4 7 3 2.694 1.113 0.266
#> 450 1 4 3 2.694 1.113 0.266
#> 451 19 18 -1 2.694 -0.371 0.711
#> 452 8 5 -3 2.694 -1.113 0.266
#> 453 8 11 3 2.694 1.113 0.266
#> 454 5 9 4 2.694 1.485 0.138
#> 455 18 17 -1 2.694 -0.371 0.711
#> 456 12 11 -1 2.694 -0.371 0.711
#> 457 5 9 4 2.694 1.485 0.138
#> 458 2 5 3 2.694 1.113 0.266
#> 459 1 2 1 2.694 0.371 0.711
#> 460 19 18 -1 2.694 -0.371 0.711
#> 461 15 17 2 2.694 0.742 0.458
#> 462 17 13 -4 2.694 -1.485 0.138
#> 463 13 15 2 2.694 0.742 0.458
#> 464 14 14 0 2.694 0.000 1
#> 465 6 9 3 2.694 1.113 0.266
#> 466 9 5 -4 2.694 -1.485 0.138
#> 467 16 15 -1 2.694 -0.371 0.711
#> 468 3 2 -1 2.694 -0.371 0.711
#> 469 1 7 6 2.694 2.227 0.026
#> 470 13 10 -3 2.694 -1.113 0.266
#> 471 5 4 -1 2.694 -0.371 0.711
#> 472 6 7 1 2.694 0.371 0.711
#> 473 20 19 -1 2.694 -0.371 0.711
#> 474 7 9 2 2.694 0.742 0.458
#> 475 1 1 0 2.694 0.000 1
#> 476 15 13 -2 2.694 -0.742 0.458
#> 477 16 11 -5 2.694 -1.856 0.063
#> 478 16 12 -4 2.694 -1.485 0.138
#> 479 11 10 -1 2.694 -0.371 0.711
#> 480 15 16 1 2.694 0.371 0.711
#> 481 7 8 1 2.694 0.371 0.711
#> 482 15 12 -3 2.694 -1.113 0.266
#> 483 15 16 1 2.694 0.371 0.711
#> 484 12 11 -1 2.694 -0.371 0.711
#> 485 12 10 -2 2.694 -0.742 0.458
#> 486 5 8 3 2.694 1.113 0.266
#> 487 8 12 4 2.694 1.485 0.138
#> 488 11 13 2 2.694 0.742 0.458
#> 489 16 17 1 2.694 0.371 0.711
#> 490 7 8 1 2.694 0.371 0.711
#> 491 19 18 -1 2.694 -0.371 0.711
#> 492 4 5 1 2.694 0.371 0.711
#> 493 19 16 -3 2.694 -1.113 0.266
#> 494 8 9 1 2.694 0.371 0.711
#> 495 10 15 5 2.694 1.856 0.063
#> 496 6 7 1 2.694 0.371 0.711
#> 497 11 8 -3 2.694 -1.113 0.266
#> 498 3 9 6 2.694 2.227 0.026
#> 499 8 8 0 2.694 0.000 1
#> 500 7 11 4 2.694 1.485 0.138
#> 501 13 16 3 2.694 1.113 0.266
#> 502 11 10 -1 2.694 -0.371 0.711
#> 503 0 1 1 2.694 0.371 0.711
#> 504 4 5 1 2.694 0.371 0.711
#> 505 4 6 2 2.694 0.742 0.458
#> 506 12 10 -2 2.694 -0.742 0.458
#> 507 18 16 -2 2.694 -0.742 0.458
#> 508 13 14 1 2.694 0.371 0.711
#> 509 5 7 2 2.694 0.742 0.458
#> 510 8 10 2 2.694 0.742 0.458
#> 511 6 10 4 2.694 1.485 0.138
#> 512 7 9 2 2.694 0.742 0.458
#> 513 5 5 0 2.694 0.000 1
#> 514 5 10 5 2.694 1.856 0.063
#> 515 9 11 2 2.694 0.742 0.458
#> 516 17 17 0 2.694 0.000 1
#> 517 14 13 -1 2.694 -0.371 0.711
#> 518 8 15 7 2.694 2.598 0.009
#> 519 14 14 0 2.694 0.000 1
#> 520 13 8 -5 2.694 -1.856 0.063
#> 521 14 12 -2 2.694 -0.742 0.458
#> 522 6 2 -4 2.694 -1.485 0.138
#> 523 17 14 -3 2.694 -1.113 0.266
#> 524 13 13 0 2.694 0.000 1
#> 525 14 14 0 2.694 0.000 1
#> 526 16 12 -4 2.694 -1.485 0.138
#> 527 12 10 -2 2.694 -0.742 0.458
#> 528 15 16 1 2.694 0.371 0.711
#> 529 13 10 -3 2.694 -1.113 0.266
#> 530 9 10 1 2.694 0.371 0.711
#> 531 12 7 -5 2.694 -1.856 0.063
#> 532 20 20 0 2.694 0.000 1
#> 533 17 12 -5 2.694 -1.856 0.063
#> 534 6 8 2 2.694 0.742 0.458
#> 535 19 18 -1 2.694 -0.371 0.711
#> 536 12 12 0 2.694 0.000 1
#> 537 10 7 -3 2.694 -1.113 0.266
#> 538 6 4 -2 2.694 -0.742 0.458
#> 539 8 8 0 2.694 0.000 1
#> 540 10 12 2 2.694 0.742 0.458
#> 541 4 7 3 2.694 1.113 0.266
#> 542 2 2 0 2.694 0.000 1
#> 543 6 5 -1 2.694 -0.371 0.711
#> 544 12 10 -2 2.694 -0.742 0.458
#> 545 4 5 1 2.694 0.371 0.711
#> 546 11 10 -1 2.694 -0.371 0.711
#> 547 14 12 -2 2.694 -0.742 0.458
#> 548 13 15 2 2.694 0.742 0.458
#> 549 12 9 -3 2.694 -1.113 0.266
#> 550 11 11 0 2.694 0.000 1
#> 551 8 2 -6 2.694 -2.227 0.026
#> 552 14 15 1 2.694 0.371 0.711
#> 553 11 14 3 2.694 1.113 0.266
#> 554 13 12 -1 2.694 -0.371 0.711
#> 555 2 3 1 2.694 0.371 0.711
#> 556 9 13 4 2.694 1.485 0.138
#> 557 10 11 1 2.694 0.371 0.711
#> 558 8 12 4 2.694 1.485 0.138
#> 559 11 12 1 2.694 0.371 0.711
#> 560 19 18 -1 2.694 -0.371 0.711
#> 561 12 12 0 2.694 0.000 1
#> 562 12 8 -4 2.694 -1.485 0.138
#> 563 3 6 3 2.694 1.113 0.266
#> 564 4 0 -4 2.694 -1.485 0.138
#> 565 14 14 0 2.694 0.000 1
#> 566 3 4 1 2.694 0.371 0.711
#> 567 18 16 -2 2.694 -0.742 0.458
#> 568 3 2 -1 2.694 -0.371 0.711
#> 569 17 19 2 2.694 0.742 0.458
#> 570 10 8 -2 2.694 -0.742 0.458
#> 571 16 13 -3 2.694 -1.113 0.266
#> 572 8 8 0 2.694 0.000 1
#> 573 15 17 2 2.694 0.742 0.458
#> 574 7 12 5 2.694 1.856 0.063
#> 575 6 2 -4 2.694 -1.485 0.138
#> 576 11 14 3 2.694 1.113 0.266
#> 577 13 12 -1 2.694 -0.371 0.711
#> 578 17 14 -3 2.694 -1.113 0.266
#> 579 5 9 4 2.694 1.485 0.138
#> 580 12 17 5 2.694 1.856 0.063
#> 581 11 10 -1 2.694 -0.371 0.711
#> 582 6 12 6 2.694 2.227 0.026
#> 583 11 13 2 2.694 0.742 0.458
#> 584 16 18 2 2.694 0.742 0.458
#> 585 8 6 -2 2.694 -0.742 0.458
#> 586 7 9 2 2.694 0.742 0.458
#> 587 12 11 -1 2.694 -0.371 0.711
#> 588 9 7 -2 2.694 -0.742 0.458
#> 589 9 6 -3 2.694 -1.113 0.266
#> 590 14 13 -1 2.694 -0.371 0.711
#> 591 15 15 0 2.694 0.000 1
#> 592 19 15 -4 2.694 -1.485 0.138
#> 593 6 7 1 2.694 0.371 0.711
#> 594 4 3 -1 2.694 -0.371 0.711
#> 595 4 6 2 2.694 0.742 0.458
#> 596 4 3 -1 2.694 -0.371 0.711
#> 597 4 4 0 2.694 0.000 1
#> 598 10 6 -4 2.694 -1.485 0.138
#> 599 8 14 6 2.694 2.227 0.026
#> 600 9 12 3 2.694 1.113 0.266
#> 601 10 12 2 2.694 0.742 0.458
#> 602 12 9 -3 2.694 -1.113 0.266
#> 603 13 9 -4 2.694 -1.485 0.138
#> 604 11 11 0 2.694 0.000 1
#> 605 2 4 2 2.694 0.742 0.458
#> 606 16 14 -2 2.694 -0.742 0.458
#> 607 2 1 -1 2.694 -0.371 0.711
#> 608 3 2 -1 2.694 -0.371 0.711
#> 609 6 4 -2 2.694 -0.742 0.458
#> 610 15 11 -4 2.694 -1.485 0.138
#> 611 7 6 -1 2.694 -0.371 0.711
#> 612 14 18 4 2.694 1.485 0.138
#> 613 7 14 7 2.694 2.598 0.009
#> 614 18 14 -4 2.694 -1.485 0.138
#> 615 9 6 -3 2.694 -1.113 0.266
#> 616 11 11 0 2.694 0.000 1
#> 617 6 2 -4 2.694 -1.485 0.138
#> 618 10 7 -3 2.694 -1.113 0.266
#> 619 3 2 -1 2.694 -0.371 0.711
#> 620 8 4 -4 2.694 -1.485 0.138
#> 621 8 10 2 2.694 0.742 0.458
#> 622 16 16 0 2.694 0.000 1
#> 623 4 2 -2 2.694 -0.742 0.458
#> 624 13 15 2 2.694 0.742 0.458
#> 625 11 11 0 2.694 0.000 1
#> 626 14 13 -1 2.694 -0.371 0.711
#> 627 4 8 4 2.694 1.485 0.138
#> 628 6 8 2 2.694 0.742 0.458
#> 629 15 9 -6 2.694 -2.227 0.026
#> 630 2 3 1 2.694 0.371 0.711
#> 631 2 3 1 2.694 0.371 0.711
#> 632 8 6 -2 2.694 -0.742 0.458
#> 633 8 4 -4 2.694 -1.485 0.138
#> 634 12 18 6 2.694 2.227 0.026
#> 635 15 15 0 2.694 0.000 1
#> 636 10 10 0 2.694 0.000 1
#> 637 3 3 0 2.694 0.000 1
#> 638 14 15 1 2.694 0.371 0.711
#> 639 9 6 -3 2.694 -1.113 0.266
#> 640 2 5 3 2.694 1.113 0.266
#> 641 14 17 3 2.694 1.113 0.266
#> 642 4 2 -2 2.694 -0.742 0.458
#> 643 12 13 1 2.694 0.371 0.711
#> 644 10 7 -3 2.694 -1.113 0.266
#> 645 3 4 1 2.694 0.371 0.711
#> 646 4 2 -2 2.694 -0.742 0.458
#> 647 2 6 4 2.694 1.485 0.138
#> 648 11 8 -3 2.694 -1.113 0.266
#> 649 10 10 0 2.694 0.000 1
#> 650 17 17 0 2.694 0.000 1
#> 651 8 10 2 2.694 0.742 0.458
#> 652 8 9 1 2.694 0.371 0.711
#> 653 17 17 0 2.694 0.000 1
#> 654 15 13 -2 2.694 -0.742 0.458
#> 655 14 19 5 2.694 1.856 0.063
#> 656 10 14 4 2.694 1.485 0.138
#> 657 12 13 1 2.694 0.371 0.711
#> 658 7 12 5 2.694 1.856 0.063
#> 659 11 12 1 2.694 0.371 0.711
#> 660 13 10 -3 2.694 -1.113 0.266
#> 661 7 7 0 2.694 0.000 1
#> 662 8 6 -2 2.694 -0.742 0.458
#> 663 7 5 -2 2.694 -0.742 0.458
#> 664 14 10 -4 2.694 -1.485 0.138
#> 665 17 19 2 2.694 0.742 0.458
#> 666 9 6 -3 2.694 -1.113 0.266
#> 667 3 3 0 2.694 0.000 1
#> 668 15 11 -4 2.694 -1.485 0.138
#> 669 7 8 1 2.694 0.371 0.711
#> 670 12 12 0 2.694 0.000 1
#> 671 13 13 0 2.694 0.000 1
#> 672 16 20 4 2.694 1.485 0.138
#> 673 13 9 -4 2.694 -1.485 0.138
#> 674 14 16 2 2.694 0.742 0.458
#> 675 7 2 -5 2.694 -1.856 0.063
#> 676 10 6 -4 2.694 -1.485 0.138
#> 677 10 12 2 2.694 0.742 0.458
#> 678 8 9 1 2.694 0.371 0.711
#> 679 4 7 3 2.694 1.113 0.266
#> 680 2 4 2 2.694 0.742 0.458
#> 681 13 10 -3 2.694 -1.113 0.266
#> 682 5 12 7 2.694 2.598 0.009
#> 683 5 6 1 2.694 0.371 0.711
#> 684 10 7 -3 2.694 -1.113 0.266
#> 685 13 12 -1 2.694 -0.371 0.711
#> 686 17 19 2 2.694 0.742 0.458
#> 687 11 12 1 2.694 0.371 0.711
#> 688 4 10 6 2.694 2.227 0.026
#> 689 6 4 -2 2.694 -0.742 0.458
#> 690 3 5 2 2.694 0.742 0.458
#> 691 11 14 3 2.694 1.113 0.266
#> 692 7 2 -5 2.694 -1.856 0.063
#> 693 8 10 2 2.694 0.742 0.458
#> 694 13 11 -2 2.694 -0.742 0.458
#> 695 13 16 3 2.694 1.113 0.266
#> 696 16 15 -1 2.694 -0.371 0.711
#> 697 16 12 -4 2.694 -1.485 0.138
#> 698 3 3 0 2.694 0.000 1
#> 699 12 15 3 2.694 1.113 0.266
#> 700 12 16 4 2.694 1.485 0.138
#> 701 3 3 0 2.694 0.000 1
#> 702 20 20 0 2.694 0.000 1
#> 703 7 10 3 2.694 1.113 0.266
#> 704 9 13 4 2.694 1.485 0.138
#> 705 5 7 2 2.694 0.742 0.458
#> 706 2 2 0 2.694 0.000 1
#> 707 13 16 3 2.694 1.113 0.266
#> 708 5 7 2 2.694 0.742 0.458
#> 709 8 7 -1 2.694 -0.371 0.711
#> 710 15 18 3 2.694 1.113 0.266
#> 711 3 1 -2 2.694 -0.742 0.458
#> 712 5 5 0 2.694 0.000 1
#> 713 5 3 -2 2.694 -0.742 0.458
#> 714 15 16 1 2.694 0.371 0.711
#> 715 12 10 -2 2.694 -0.742 0.458
#> 716 9 6 -3 2.694 -1.113 0.266
#> 717 5 2 -3 2.694 -1.113 0.266
#> 718 3 4 1 2.694 0.371 0.711
#> 719 2 6 4 2.694 1.485 0.138
#> 720 4 6 2 2.694 0.742 0.458
#> 721 10 12 2 2.694 0.742 0.458
#> 722 16 14 -2 2.694 -0.742 0.458
#> 723 3 2 -1 2.694 -0.371 0.711
#> 724 13 8 -5 2.694 -1.856 0.063
#> 725 17 15 -2 2.694 -0.742 0.458
#> 726 8 8 0 2.694 0.000 1
#> 727 8 10 2 2.694 0.742 0.458
#> 728 16 12 -4 2.694 -1.485 0.138
#> 729 11 15 4 2.694 1.485 0.138
#> 730 4 8 4 2.694 1.485 0.138
#> 731 5 6 1 2.694 0.371 0.711
#> 732 4 3 -1 2.694 -0.371 0.711
#> 733 8 6 -2 2.694 -0.742 0.458
#> 734 18 19 1 2.694 0.371 0.711
#> 735 10 11 1 2.694 0.371 0.711
#> 736 10 12 2 2.694 0.742 0.458
#> 737 18 20 2 2.694 0.742 0.458
#> 738 11 5 -6 2.694 -2.227 0.026
#> 739 17 17 0 2.694 0.000 1
#> 740 3 5 2 2.694 0.742 0.458
#> 741 15 15 0 2.694 0.000 1
#> 742 8 9 1 2.694 0.371 0.711
#> 743 9 5 -4 2.694 -1.485 0.138
#> 744 16 13 -3 2.694 -1.113 0.266
#> 745 14 13 -1 2.694 -0.371 0.711
#> 746 8 6 -2 2.694 -0.742 0.458
#> 747 5 9 4 2.694 1.485 0.138
#> 748 3 1 -2 2.694 -0.742 0.458
#> 749 6 7 1 2.694 0.371 0.711
#> 750 17 13 -4 2.694 -1.485 0.138
#> 751 15 15 0 2.694 0.000 1
#> 752 5 6 1 2.694 0.371 0.711
#> 753 9 11 2 2.694 0.742 0.458
#> 754 16 14 -2 2.694 -0.742 0.458
#> 755 12 12 0 2.694 0.000 1
#> 756 12 14 2 2.694 0.742 0.458
#> 757 14 9 -5 2.694 -1.856 0.063
#> 758 12 15 3 2.694 1.113 0.266
#> 759 1 0 -1 2.694 -0.371 0.711
#> 760 13 17 4 2.694 1.485 0.138
#> 761 17 19 2 2.694 0.742 0.458
#> 762 4 4 0 2.694 0.000 1
#> 763 10 7 -3 2.694 -1.113 0.266
#> 764 15 15 0 2.694 0.000 1
#> 765 10 12 2 2.694 0.742 0.458
#> 766 2 2 0 2.694 0.000 1
#> 767 16 16 0 2.694 0.000 1
#> 768 14 13 -1 2.694 -0.371 0.711
#> 769 15 15 0 2.694 0.000 1
#> 770 7 3 -4 2.694 -1.485 0.138
#> 771 7 3 -4 2.694 -1.485 0.138
#> 772 15 14 -1 2.694 -0.371 0.711
#> 773 11 12 1 2.694 0.371 0.711
#> 774 2 1 -1 2.694 -0.371 0.711
#> 775 3 7 4 2.694 1.485 0.138
#> 776 16 16 0 2.694 0.000 1
#> 777 14 9 -5 2.694 -1.856 0.063
#> 778 14 14 0 2.694 0.000 1
#> 779 14 13 -1 2.694 -0.371 0.711
#> 780 13 9 -4 2.694 -1.485 0.138
#> 781 13 11 -2 2.694 -0.742 0.458
#> 782 5 13 8 2.694 2.969 0.003
#> 783 13 12 -1 2.694 -0.371 0.711
#> 784 8 7 -1 2.694 -0.371 0.711
#> 785 17 16 -1 2.694 -0.371 0.711
#> 786 10 11 1 2.694 0.371 0.711
#> 787 12 10 -2 2.694 -0.742 0.458
#> 788 7 9 2 2.694 0.742 0.458
#> 789 2 2 0 2.694 0.000 1
#> 790 1 3 2 2.694 0.742 0.458
#> 791 3 8 5 2.694 1.856 0.063
#> 792 14 16 2 2.694 0.742 0.458
#> 793 4 7 3 2.694 1.113 0.266
#> 794 15 17 2 2.694 0.742 0.458
#> 795 15 13 -2 2.694 -0.742 0.458
#> 796 7 8 1 2.694 0.371 0.711
#> 797 6 4 -2 2.694 -0.742 0.458
#> 798 7 6 -1 2.694 -0.371 0.711
#> 799 11 8 -3 2.694 -1.113 0.266
#> 800 8 12 4 2.694 1.485 0.138
#> 801 6 3 -3 2.694 -1.113 0.266
#> 802 7 2 -5 2.694 -1.856 0.063
#> 803 9 9 0 2.694 0.000 1
#> 804 17 14 -3 2.694 -1.113 0.266
#> 805 6 7 1 2.694 0.371 0.711
#> 806 14 13 -1 2.694 -0.371 0.711
#> 807 6 13 7 2.694 2.598 0.009
#> 808 7 9 2 2.694 0.742 0.458
#> 809 17 17 0 2.694 0.000 1
#> 810 3 6 3 2.694 1.113 0.266
#> 811 15 18 3 2.694 1.113 0.266
#> 812 10 10 0 2.694 0.000 1
#> 813 7 2 -5 2.694 -1.856 0.063
#> 814 13 14 1 2.694 0.371 0.711
#> 815 8 10 2 2.694 0.742 0.458
#> 816 7 7 0 2.694 0.000 1
#> 817 15 5 -10 2.694 -3.712 0
#> 818 11 11 0 2.694 0.000 1
#> 819 8 14 6 2.694 2.227 0.026
#> 820 7 5 -2 2.694 -0.742 0.458
#> 821 12 12 0 2.694 0.000 1
#> 822 10 13 3 2.694 1.113 0.266
#> 823 3 3 0 2.694 0.000 1
#> 824 17 18 1 2.694 0.371 0.711
#> 825 7 6 -1 2.694 -0.371 0.711
#> 826 5 7 2 2.694 0.742 0.458
#> 827 15 14 -1 2.694 -0.371 0.711
#> 828 3 7 4 2.694 1.485 0.138
#> 829 4 3 -1 2.694 -0.371 0.711
#> 830 20 17 -3 2.694 -1.113 0.266
#> 831 8 5 -3 2.694 -1.113 0.266
#> 832 13 18 5 2.694 1.856 0.063
#> 833 15 15 0 2.694 0.000 1
#> 834 16 17 1 2.694 0.371 0.711
#> 835 6 6 0 2.694 0.000 1
#> 836 16 16 0 2.694 0.000 1
#> 837 9 9 0 2.694 0.000 1
#> 838 10 16 6 2.694 2.227 0.026
#> 839 10 11 1 2.694 0.371 0.711
#> 840 16 17 1 2.694 0.371 0.711
#> 841 15 15 0 2.694 0.000 1
#> 842 13 13 0 2.694 0.000 1
#> 843 15 16 1 2.694 0.371 0.711
#> 844 10 7 -3 2.694 -1.113 0.266
#> 845 12 9 -3 2.694 -1.113 0.266
#> 846 12 12 0 2.694 0.000 1
#> 847 8 7 -1 2.694 -0.371 0.711
#> 848 7 3 -4 2.694 -1.485 0.138
#> 849 5 5 0 2.694 0.000 1
#> 850 19 16 -3 2.694 -1.113 0.266
#> 851 15 15 0 2.694 0.000 1
#> 852 13 8 -5 2.694 -1.856 0.063
#> 853 9 10 1 2.694 0.371 0.711
#> 854 8 8 0 2.694 0.000 1
#> 855 9 9 0 2.694 0.000 1
#> 856 12 13 1 2.694 0.371 0.711
#> 857 10 7 -3 2.694 -1.113 0.266
#> 858 13 10 -3 2.694 -1.113 0.266
#> 859 10 9 -1 2.694 -0.371 0.711
#> 860 5 8 3 2.694 1.113 0.266
#> 861 5 3 -2 2.694 -0.742 0.458
#> 862 13 14 1 2.694 0.371 0.711
#> 863 3 6 3 2.694 1.113 0.266
#> 864 8 4 -4 2.694 -1.485 0.138
#> 865 10 13 3 2.694 1.113 0.266
#> 866 12 12 0 2.694 0.000 1
#> 867 9 10 1 2.694 0.371 0.711
#> 868 11 13 2 2.694 0.742 0.458
#> 869 10 7 -3 2.694 -1.113 0.266
#> 870 13 13 0 2.694 0.000 1
#> 871 14 13 -1 2.694 -0.371 0.711
#> 872 8 10 2 2.694 0.742 0.458
#> 873 1 1 0 2.694 0.000 1
#> 874 7 13 6 2.694 2.227 0.026
#> 875 14 16 2 2.694 0.742 0.458
#> 876 9 8 -1 2.694 -0.371 0.711
#> 877 16 16 0 2.694 0.000 1
#> 878 14 15 1 2.694 0.371 0.711
#> 879 8 10 2 2.694 0.742 0.458
#> 880 6 2 -4 2.694 -1.485 0.138
#> 881 5 2 -3 2.694 -1.113 0.266
#> 882 6 10 4 2.694 1.485 0.138
#> 883 11 11 0 2.694 0.000 1
#> 884 6 5 -1 2.694 -0.371 0.711
#> 885 14 14 0 2.694 0.000 1
#> 886 3 7 4 2.694 1.485 0.138
#> 887 3 9 6 2.694 2.227 0.026
#> 888 10 7 -3 2.694 -1.113 0.266
#> 889 2 6 4 2.694 1.485 0.138
#> 890 15 11 -4 2.694 -1.485 0.138
#> 891 10 6 -4 2.694 -1.485 0.138
#> 892 10 10 0 2.694 0.000 1
#> 893 17 16 -1 2.694 -0.371 0.711
#> 894 11 12 1 2.694 0.371 0.711
#> 895 9 11 2 2.694 0.742 0.458
#> 896 15 13 -2 2.694 -0.742 0.458
#> 897 17 16 -1 2.694 -0.371 0.711
#> 898 7 9 2 2.694 0.742 0.458
#> 899 10 8 -2 2.694 -0.742 0.458
#> 900 6 5 -1 2.694 -0.371 0.711
#> 901 7 6 -1 2.694 -0.371 0.711
#> 902 16 19 3 2.694 1.113 0.266
#> 903 16 19 3 2.694 1.113 0.266
#> 904 12 9 -3 2.694 -1.113 0.266
#> 905 6 7 1 2.694 0.371 0.711
#> 906 19 20 1 2.694 0.371 0.711
#> 907 15 11 -4 2.694 -1.485 0.138
#> 908 10 5 -5 2.694 -1.856 0.063
#> 909 2 0 -2 2.694 -0.742 0.458
#> 910 18 10 -8 2.694 -2.969 0.003
#> 911 2 0 -2 2.694 -0.742 0.458
#> 912 20 17 -3 2.694 -1.113 0.266
#> 913 4 2 -2 2.694 -0.742 0.458
#> 914 16 17 1 2.694 0.371 0.711
#> 915 14 15 1 2.694 0.371 0.711
#> 916 18 13 -5 2.694 -1.856 0.063
#> 917 16 17 1 2.694 0.371 0.711
#> 918 15 18 3 2.694 1.113 0.266
#> 919 13 10 -3 2.694 -1.113 0.266
#> 920 11 8 -3 2.694 -1.113 0.266
#> 921 4 2 -2 2.694 -0.742 0.458
#> 922 6 10 4 2.694 1.485 0.138
#> 923 12 11 -1 2.694 -0.371 0.711
#> 924 18 18 0 2.694 0.000 1
#> 925 5 5 0 2.694 0.000 1
#> 926 19 19 0 2.694 0.000 1
#> 927 7 5 -2 2.694 -0.742 0.458
#> 928 9 3 -6 2.694 -2.227 0.026
#> 929 15 19 4 2.694 1.485 0.138
#> 930 15 9 -6 2.694 -2.227 0.026
#> 931 11 11 0 2.694 0.000 1
#> 932 12 10 -2 2.694 -0.742 0.458
#> 933 12 13 1 2.694 0.371 0.711
#> 934 9 6 -3 2.694 -1.113 0.266
#> 935 14 14 0 2.694 0.000 1
#> 936 6 7 1 2.694 0.371 0.711
#> 937 6 6 0 2.694 0.000 1
#> 938 8 10 2 2.694 0.742 0.458
#> 939 3 2 -1 2.694 -0.371 0.711
#> 940 11 10 -1 2.694 -0.371 0.711
#> 941 12 15 3 2.694 1.113 0.266
#> 942 13 14 1 2.694 0.371 0.711
#> 943 12 8 -4 2.694 -1.485 0.138
#> 944 15 13 -2 2.694 -0.742 0.458
#> 945 11 12 1 2.694 0.371 0.711
#> 946 11 11 0 2.694 0.000 1
#> 947 11 10 -1 2.694 -0.371 0.711
#> 948 10 13 3 2.694 1.113 0.266
#> 949 1 2 1 2.694 0.371 0.711
#> 950 7 12 5 2.694 1.856 0.063
#> 951 8 6 -2 2.694 -0.742 0.458
#> 952 15 12 -3 2.694 -1.113 0.266
#> 953 7 4 -3 2.694 -1.113 0.266
#> 954 2 6 4 2.694 1.485 0.138
#> 955 6 5 -1 2.694 -0.371 0.711
#> 956 3 3 0 2.694 0.000 1
#> 957 5 5 0 2.694 0.000 1
#> 958 6 6 0 2.694 0.000 1
#> 959 13 17 4 2.694 1.485 0.138
#> 960 6 7 1 2.694 0.371 0.711
#> 961 3 2 -1 2.694 -0.371 0.711
#> 962 12 11 -1 2.694 -0.371 0.711
#> 963 6 4 -2 2.694 -0.742 0.458
#> 964 17 12 -5 2.694 -1.856 0.063
#> 965 5 7 2 2.694 0.742 0.458
#> 966 13 16 3 2.694 1.113 0.266
#> 967 15 16 1 2.694 0.371 0.711
#> 968 12 9 -3 2.694 -1.113 0.266
#> 969 15 13 -2 2.694 -0.742 0.458
#> 970 14 16 2 2.694 0.742 0.458
#> 971 6 7 1 2.694 0.371 0.711
#> 972 16 16 0 2.694 0.000 1
#> 973 3 1 -2 2.694 -0.742 0.458
#> 974 5 5 0 2.694 0.000 1
#> 975 7 3 -4 2.694 -1.485 0.138
#> 976 13 13 0 2.694 0.000 1
#> 977 10 12 2 2.694 0.742 0.458
#> 978 2 4 2 2.694 0.742 0.458
#> 979 2 9 7 2.694 2.598 0.009
#> 980 10 9 -1 2.694 -0.371 0.711
#> 981 4 1 -3 2.694 -1.113 0.266
#> 982 7 4 -3 2.694 -1.113 0.266
#> 983 17 12 -5 2.694 -1.856 0.063
#> 984 18 16 -2 2.694 -0.742 0.458
#> 985 16 11 -5 2.694 -1.856 0.063
#> 986 5 3 -2 2.694 -0.742 0.458
#> 987 13 14 1 2.694 0.371 0.711
#> 988 11 8 -3 2.694 -1.113 0.266
#> 989 2 12 10 2.694 3.712 0
#> 990 9 11 2 2.694 0.742 0.458
#> 991 11 6 -5 2.694 -1.856 0.063
#> 992 11 10 -1 2.694 -0.371 0.711
#> 993 8 6 -2 2.694 -0.742 0.458
#> 994 1 4 3 2.694 1.113 0.266
#> 995 10 7 -3 2.694 -1.113 0.266
#> 996 11 5 -6 2.694 -2.227 0.026
#> 997 7 6 -1 2.694 -0.371 0.711
#> 998 10 12 2 2.694 0.742 0.458
#> 999 11 7 -4 2.694 -1.485 0.138
#> 1000 1 2 1 2.694 0.371 0.711
######
# interactive shiny interfaces for live scoring
mod_pre <- mirt(Science)
# (optional) setup mod_post to have medium effect size change (d = 0.5)
sv <- mod2values(mod_pre)
sv$value[sv$name == 'MEAN_1'] <- 0.5
mod_post <- mirt(Science, pars=sv, TOL=NA)
# only use pre-test model for scoring
if(interactive()){
RCI(mod_pre=mod_pre, shiny=TRUE)
# use both pre-test and post-test models for including empirical priors
RCI(mod_pre=mod_pre, mod_post=mod_post, shiny=TRUE,
main='Perceptions of Science and Technology')
}
############################
# Example where individuals take completely different item set pre-post
# but prior calibration has been performed to equate the items
dat <- key2binary(SAT12,
key = c(1,4,5,2,3,1,2,1,3,1,2,4,2,1,5,3,4,4,1,4,3,3,4,1,3,5,1,3,1,5,4,5))
mod <- mirt(dat)
# with N=5 individuals under investigation
predat <- postdat <- dat[1:5,]
predat[, 17:32] <- NA
postdat[, 1:16] <- NA
head(predat)
#> Item.1 Item.2 Item.3 Item.4 Item.5 Item.6 Item.7 Item.8 Item.9 Item.10
#> [1,] 1 1 1 1 1 1 1 1 1 1
#> [2,] 0 1 0 0 1 0 1 0 1 1
#> [3,] 1 1 1 0 1 0 1 0 1 0
#> [4,] 0 1 0 1 1 0 1 0 1 0
#> [5,] 0 1 1 1 1 0 1 1 0 0
#> Item.11 Item.12 Item.13 Item.14 Item.15 Item.16 Item.17 Item.18 Item.19
#> [1,] 1 1 1 1 1 1 NA NA NA
#> [2,] 1 0 1 1 1 0 NA NA NA
#> [3,] 1 0 0 1 1 0 NA NA NA
#> [4,] 1 1 1 1 1 0 NA NA NA
#> [5,] 1 1 1 1 1 0 NA NA NA
#> Item.20 Item.21 Item.22 Item.23 Item.24 Item.25 Item.26 Item.27 Item.28
#> [1,] NA NA NA NA NA NA NA NA NA
#> [2,] NA NA NA NA NA NA NA NA NA
#> [3,] NA NA NA NA NA NA NA NA NA
#> [4,] NA NA NA NA NA NA NA NA NA
#> [5,] NA NA NA NA NA NA NA NA NA
#> Item.29 Item.30 Item.31 Item.32
#> [1,] NA NA NA NA
#> [2,] NA NA NA NA
#> [3,] NA NA NA NA
#> [4,] NA NA NA NA
#> [5,] NA NA NA NA
head(postdat)
#> Item.1 Item.2 Item.3 Item.4 Item.5 Item.6 Item.7 Item.8 Item.9 Item.10
#> [1,] NA NA NA NA NA NA NA NA NA NA
#> [2,] NA NA NA NA NA NA NA NA NA NA
#> [3,] NA NA NA NA NA NA NA NA NA NA
#> [4,] NA NA NA NA NA NA NA NA NA NA
#> [5,] NA NA NA NA NA NA NA NA NA NA
#> Item.11 Item.12 Item.13 Item.14 Item.15 Item.16 Item.17 Item.18 Item.19
#> [1,] NA NA NA NA NA NA 1 1 1
#> [2,] NA NA NA NA NA NA 1 0 1
#> [3,] NA NA NA NA NA NA 1 0 0
#> [4,] NA NA NA NA NA NA 1 0 0
#> [5,] NA NA NA NA NA NA 1 0 1
#> Item.20 Item.21 Item.22 Item.23 Item.24 Item.25 Item.26 Item.27 Item.28
#> [1,] 1 1 1 1 1 1 1 1 1
#> [2,] 1 1 1 0 1 0 0 1 0
#> [3,] 1 1 1 0 1 1 0 1 1
#> [4,] 1 1 0 0 0 0 0 1 1
#> [5,] 1 1 1 0 1 0 1 1 1
#> Item.29 Item.30 Item.31 Item.32
#> [1,] 1 1 1 1
#> [2,] 0 0 1 0
#> [3,] 0 0 1 0
#> [4,] 0 0 1 0
#> [5,] 1 0 1 0
RCI(mod, predat, postdat)
#> pre.score post.score converged diff SE z p
#> 1 2.206 1.808 TRUE -0.398 0.951 -0.419 0.675
#> 2 0.373 -0.344 TRUE -0.717 0.720 -0.995 0.32
#> 3 0.303 -0.115 TRUE -0.419 0.728 -0.575 0.566
#> 4 0.295 -0.864 TRUE -1.159 0.699 -1.658 0.097
#> 5 0.670 0.513 TRUE -0.157 0.772 -0.203 0.839
# expected scores /32 (even though only /16 items answered)
RCI(mod, predat, postdat, expected.scores=TRUE)
#> pre.score post.score converged diff SE z p
#> 1 26.844 25.822 TRUE -1.022 2.459 -0.419 0.675
#> 2 20.403 16.838 TRUE -3.564 3.541 -0.995 0.32
#> 3 20.075 18.015 TRUE -2.060 3.566 -0.575 0.566
#> 4 20.037 14.055 TRUE -5.983 3.536 -1.658 0.097
#> 5 21.745 21.049 TRUE -0.696 3.429 -0.203 0.839
######
# Two-dimensional IRT model for each time point, 20 items (no DIF)
J <- 20
N <- 500
slopes <- rlnorm(J, .2, .2)
a <- matrix(c(slopes, numeric(J*2), slopes),J*2)
ints <- rnorm(J)
d <- matrix(c(ints, ints), ncol=1)
data.frame(a=a, d=d)
#> a.1 a.2 d
#> 1 1.1552393 0.0000000 -0.63265649
#> 2 0.7725387 0.0000000 -0.23498495
#> 3 1.1911807 0.0000000 -0.23365145
#> 4 1.5201541 0.0000000 -0.09858223
#> 5 1.1752077 0.0000000 0.83519448
#> 6 1.0858223 0.0000000 -0.43051228
#> 7 1.6628731 0.0000000 0.41443651
#> 8 1.1012075 0.0000000 1.41245283
#> 9 1.0354140 0.0000000 0.84976955
#> 10 1.3580607 0.0000000 0.17070288
#> 11 0.9164153 0.0000000 -0.24230045
#> 12 1.1904205 0.0000000 -1.66708924
#> 13 1.5486689 0.0000000 -1.74009514
#> 14 1.1839185 0.0000000 0.84319987
#> 15 1.2910372 0.0000000 -1.96094872
#> 16 1.3247273 0.0000000 -0.33889244
#> 17 1.3673442 0.0000000 1.84475886
#> 18 1.2868859 0.0000000 0.51631728
#> 19 0.9999844 0.0000000 -0.73065644
#> 20 1.1269914 0.0000000 1.68359583
#> 21 0.0000000 1.1552393 -0.63265649
#> 22 0.0000000 0.7725387 -0.23498495
#> 23 0.0000000 1.1911807 -0.23365145
#> 24 0.0000000 1.5201541 -0.09858223
#> 25 0.0000000 1.1752077 0.83519448
#> 26 0.0000000 1.0858223 -0.43051228
#> 27 0.0000000 1.6628731 0.41443651
#> 28 0.0000000 1.1012075 1.41245283
#> 29 0.0000000 1.0354140 0.84976955
#> 30 0.0000000 1.3580607 0.17070288
#> 31 0.0000000 0.9164153 -0.24230045
#> 32 0.0000000 1.1904205 -1.66708924
#> 33 0.0000000 1.5486689 -1.74009514
#> 34 0.0000000 1.1839185 0.84319987
#> 35 0.0000000 1.2910372 -1.96094872
#> 36 0.0000000 1.3247273 -0.33889244
#> 37 0.0000000 1.3673442 1.84475886
#> 38 0.0000000 1.2868859 0.51631728
#> 39 0.0000000 0.9999844 -0.73065644
#> 40 0.0000000 1.1269914 1.68359583
# mean effects across time
mu <- c(0, -1/2)
sigma <- matrix(c(1, .7, .7, 1), 2,2)
dat <- simdata(a, d, N, mu=mu, sigma=sigma, itemtype = '2PL')
itemstats(dat)$overall
#> N mean_total.score sd_total.score ave.r sd.r alpha SEM.alpha
#> 500 17.646 8.049 0.169 0.063 0.891 2.663
# build equality constraints across time points
constr <- NULL
for(i in (1:J)){
constr <- c(constr, paste0("(", i, ',', i+J, ",a1,a2)"))
constr <- c(constr, paste0("(", i, ',', i+J, ",d)"))
}
constr <- paste0(constr, collapse=',')
# define model where item parameters constrained over time, and
# latent trait has potential scale-location changes (e.g., regression to the
# mean effects)
model <- sprintf("
thetapre = 1-%i,
thetapost = %i-%i,
COV = thetapre*thetapost, thetapost*thetapost
MEAN = thetapost
CONSTRAIN = %s", J, J+1, 2*J, constr)
cat(model)
#>
#> thetapre = 1-20,
#> thetapost = 21-40,
#> COV = thetapre*thetapost, thetapost*thetapost
#> MEAN = thetapost
#> CONSTRAIN = (1,21,a1,a2),(1,21,d),(2,22,a1,a2),(2,22,d),(3,23,a1,a2),(3,23,d),(4,24,a1,a2),(4,24,d),(5,25,a1,a2),(5,25,d),(6,26,a1,a2),(6,26,d),(7,27,a1,a2),(7,27,d),(8,28,a1,a2),(8,28,d),(9,29,a1,a2),(9,29,d),(10,30,a1,a2),(10,30,d),(11,31,a1,a2),(11,31,d),(12,32,a1,a2),(12,32,d),(13,33,a1,a2),(13,33,d),(14,34,a1,a2),(14,34,d),(15,35,a1,a2),(15,35,d),(16,36,a1,a2),(16,36,d),(17,37,a1,a2),(17,37,d),(18,38,a1,a2),(18,38,d),(19,39,a1,a2),(19,39,d),(20,40,a1,a2),(20,40,d)
# fit the model to calibration data
mod <- mirt(dat, model = model, SE=TRUE)
coef(mod, printSE=TRUE)
#> $Item_1
#> a1 a2 d logit(g) logit(u)
#> par 1.252 0 -0.639 -999 999
#> SE 0.117 NA 0.097 NA NA
#>
#> $Item_2
#> a1 a2 d logit(g) logit(u)
#> par 0.702 0 -0.268 -999 999
#> SE 0.084 NA 0.077 NA NA
#>
#> $Item_3
#> a1 a2 d logit(g) logit(u)
#> par 1.210 0 -0.210 -999 999
#> SE 0.112 NA 0.094 NA NA
#>
#> $Item_4
#> a1 a2 d logit(g) logit(u)
#> par 1.608 0 -0.178 -999 999
#> SE 0.140 NA 0.110 NA NA
#>
#> $Item_5
#> a1 a2 d logit(g) logit(u)
#> par 1.237 0 0.770 -999 999
#> SE 0.116 NA 0.103 NA NA
#>
#> $Item_6
#> a1 a2 d logit(g) logit(u)
#> par 1.296 0 -0.445 -999 999
#> SE 0.118 NA 0.097 NA NA
#>
#> $Item_7
#> a1 a2 d logit(g) logit(u)
#> par 1.856 0 0.377 -999 999
#> SE 0.161 NA 0.124 NA NA
#>
#> $Item_8
#> a1 a2 d logit(g) logit(u)
#> par 1.125 0 1.368 -999 999
#> SE 0.115 NA 0.113 NA NA
#>
#> $Item_9
#> a1 a2 d logit(g) logit(u)
#> par 0.961 0 0.717 -999 999
#> SE 0.099 NA 0.092 NA NA
#>
#> $Item_10
#> a1 a2 d logit(g) logit(u)
#> par 1.517 0 0.150 -999 999
#> SE 0.133 NA 0.107 NA NA
#>
#> $Item_11
#> a1 a2 d logit(g) logit(u)
#> par 0.855 0 -0.271 -999 999
#> SE 0.092 NA 0.081 NA NA
#>
#> $Item_12
#> a1 a2 d logit(g) logit(u)
#> par 1.056 0 -1.475 -999 999
#> SE 0.115 NA 0.104 NA NA
#>
#> $Item_13
#> a1 a2 d logit(g) logit(u)
#> par 1.745 0 -2.061 -999 999
#> SE 0.173 NA 0.157 NA NA
#>
#> $Item_14
#> a1 a2 d logit(g) logit(u)
#> par 1.333 0 0.860 -999 999
#> SE 0.123 NA 0.109 NA NA
#>
#> $Item_15
#> a1 a2 d logit(g) logit(u)
#> par 1.488 0 -2.028 -999 999
#> SE 0.153 NA 0.142 NA NA
#>
#> $Item_16
#> a1 a2 d logit(g) logit(u)
#> par 1.409 0 -0.359 -999 999
#> SE 0.125 NA 0.102 NA NA
#>
#> $Item_17
#> a1 a2 d logit(g) logit(u)
#> par 1.378 0 1.715 -999 999
#> SE 0.136 NA 0.135 NA NA
#>
#> $Item_18
#> a1 a2 d logit(g) logit(u)
#> par 1.202 0 0.321 -999 999
#> SE 0.111 NA 0.096 NA NA
#>
#> $Item_19
#> a1 a2 d logit(g) logit(u)
#> par 1.061 0 -0.807 -999 999
#> SE 0.106 NA 0.092 NA NA
#>
#> $Item_20
#> a1 a2 d logit(g) logit(u)
#> par 1.146 0 1.724 -999 999
#> SE 0.121 NA 0.126 NA NA
#>
#> $Item_21
#> a1 a2 d logit(g) logit(u)
#> par 0 1.252 -0.639 -999 999
#> SE NA 0.117 0.097 NA NA
#>
#> $Item_22
#> a1 a2 d logit(g) logit(u)
#> par 0 0.702 -0.268 -999 999
#> SE NA 0.084 0.077 NA NA
#>
#> $Item_23
#> a1 a2 d logit(g) logit(u)
#> par 0 1.210 -0.210 -999 999
#> SE NA 0.112 0.094 NA NA
#>
#> $Item_24
#> a1 a2 d logit(g) logit(u)
#> par 0 1.608 -0.178 -999 999
#> SE NA 0.140 0.110 NA NA
#>
#> $Item_25
#> a1 a2 d logit(g) logit(u)
#> par 0 1.237 0.770 -999 999
#> SE NA 0.116 0.103 NA NA
#>
#> $Item_26
#> a1 a2 d logit(g) logit(u)
#> par 0 1.296 -0.445 -999 999
#> SE NA 0.118 0.097 NA NA
#>
#> $Item_27
#> a1 a2 d logit(g) logit(u)
#> par 0 1.856 0.377 -999 999
#> SE NA 0.161 0.124 NA NA
#>
#> $Item_28
#> a1 a2 d logit(g) logit(u)
#> par 0 1.125 1.368 -999 999
#> SE NA 0.115 0.113 NA NA
#>
#> $Item_29
#> a1 a2 d logit(g) logit(u)
#> par 0 0.961 0.717 -999 999
#> SE NA 0.099 0.092 NA NA
#>
#> $Item_30
#> a1 a2 d logit(g) logit(u)
#> par 0 1.517 0.150 -999 999
#> SE NA 0.133 0.107 NA NA
#>
#> $Item_31
#> a1 a2 d logit(g) logit(u)
#> par 0 0.855 -0.271 -999 999
#> SE NA 0.092 0.081 NA NA
#>
#> $Item_32
#> a1 a2 d logit(g) logit(u)
#> par 0 1.056 -1.475 -999 999
#> SE NA 0.115 0.104 NA NA
#>
#> $Item_33
#> a1 a2 d logit(g) logit(u)
#> par 0 1.745 -2.061 -999 999
#> SE NA 0.173 0.157 NA NA
#>
#> $Item_34
#> a1 a2 d logit(g) logit(u)
#> par 0 1.333 0.860 -999 999
#> SE NA 0.123 0.109 NA NA
#>
#> $Item_35
#> a1 a2 d logit(g) logit(u)
#> par 0 1.488 -2.028 -999 999
#> SE NA 0.153 0.142 NA NA
#>
#> $Item_36
#> a1 a2 d logit(g) logit(u)
#> par 0 1.409 -0.359 -999 999
#> SE NA 0.125 0.102 NA NA
#>
#> $Item_37
#> a1 a2 d logit(g) logit(u)
#> par 0 1.378 1.715 -999 999
#> SE NA 0.136 0.135 NA NA
#>
#> $Item_38
#> a1 a2 d logit(g) logit(u)
#> par 0 1.202 0.321 -999 999
#> SE NA 0.111 0.096 NA NA
#>
#> $Item_39
#> a1 a2 d logit(g) logit(u)
#> par 0 1.061 -0.807 -999 999
#> SE NA 0.106 0.092 NA NA
#>
#> $Item_40
#> a1 a2 d logit(g) logit(u)
#> par 0 1.146 1.724 -999 999
#> SE NA 0.121 0.126 NA NA
#>
#> $GroupPars
#> MEAN_1 MEAN_2 COV_11 COV_21 COV_22
#> par 0 -0.519 1 0.691 0.971
#> SE NA 0.049 NA 0.047 0.096
#>
coef(mod, simplify=TRUE)
#> $items
#> a1 a2 d g u
#> Item_1 1.252 0.000 -0.639 0 1
#> Item_2 0.702 0.000 -0.268 0 1
#> Item_3 1.210 0.000 -0.210 0 1
#> Item_4 1.608 0.000 -0.178 0 1
#> Item_5 1.237 0.000 0.770 0 1
#> Item_6 1.296 0.000 -0.445 0 1
#> Item_7 1.856 0.000 0.377 0 1
#> Item_8 1.125 0.000 1.368 0 1
#> Item_9 0.961 0.000 0.717 0 1
#> Item_10 1.517 0.000 0.150 0 1
#> Item_11 0.855 0.000 -0.271 0 1
#> Item_12 1.056 0.000 -1.475 0 1
#> Item_13 1.745 0.000 -2.061 0 1
#> Item_14 1.333 0.000 0.860 0 1
#> Item_15 1.488 0.000 -2.028 0 1
#> Item_16 1.409 0.000 -0.359 0 1
#> Item_17 1.378 0.000 1.715 0 1
#> Item_18 1.202 0.000 0.321 0 1
#> Item_19 1.061 0.000 -0.807 0 1
#> Item_20 1.146 0.000 1.724 0 1
#> Item_21 0.000 1.252 -0.639 0 1
#> Item_22 0.000 0.702 -0.268 0 1
#> Item_23 0.000 1.210 -0.210 0 1
#> Item_24 0.000 1.608 -0.178 0 1
#> Item_25 0.000 1.237 0.770 0 1
#> Item_26 0.000 1.296 -0.445 0 1
#> Item_27 0.000 1.856 0.377 0 1
#> Item_28 0.000 1.125 1.368 0 1
#> Item_29 0.000 0.961 0.717 0 1
#> Item_30 0.000 1.517 0.150 0 1
#> Item_31 0.000 0.855 -0.271 0 1
#> Item_32 0.000 1.056 -1.475 0 1
#> Item_33 0.000 1.745 -2.061 0 1
#> Item_34 0.000 1.333 0.860 0 1
#> Item_35 0.000 1.488 -2.028 0 1
#> Item_36 0.000 1.409 -0.359 0 1
#> Item_37 0.000 1.378 1.715 0 1
#> Item_38 0.000 1.202 0.321 0 1
#> Item_39 0.000 1.061 -0.807 0 1
#> Item_40 0.000 1.146 1.724 0 1
#>
#> $means
#> thetapre thetapost
#> 0.000 -0.519
#>
#> $cov
#> thetapre thetapost
#> thetapre 1.000 0.691
#> thetapost 0.691 0.971
#>
summary(mod)
#> thetapre thetapost h2
#> Item_1 0.592 0.351
#> Item_2 0.381 0.145
#> Item_3 0.579 0.336
#> Item_4 0.687 0.472
#> Item_5 0.588 0.346
#> Item_6 0.606 0.367
#> Item_7 0.737 0.543
#> Item_8 0.551 0.304
#> Item_9 0.492 0.242
#> Item_10 0.665 0.443
#> Item_11 0.449 0.202
#> Item_12 0.527 0.278
#> Item_13 0.716 0.512
#> Item_14 0.617 0.380
#> Item_15 0.658 0.433
#> Item_16 0.638 0.407
#> Item_17 0.629 0.396
#> Item_18 0.577 0.333
#> Item_19 0.529 0.280
#> Item_20 0.558 0.312
#> Item_21 0.587 0.344
#> Item_22 0.377 0.142
#> Item_23 0.574 0.329
#> Item_24 0.682 0.465
#> Item_25 0.582 0.339
#> Item_26 0.600 0.360
#> Item_27 0.732 0.536
#> Item_28 0.546 0.298
#> Item_29 0.486 0.236
#> Item_30 0.660 0.435
#> Item_31 0.444 0.197
#> Item_32 0.522 0.272
#> Item_33 0.711 0.505
#> Item_34 0.611 0.374
#> Item_35 0.653 0.426
#> Item_36 0.632 0.400
#> Item_37 0.624 0.389
#> Item_38 0.571 0.326
#> Item_39 0.524 0.274
#> Item_40 0.553 0.306
#>
#> SE.thetapre SE.thetapost
#> Item_1 0.036
#> Item_2 0.039
#> Item_3 0.036
#> Item_4 0.032
#> Item_5 0.036
#> Item_6 0.035
#> Item_7 0.029
#> Item_8 0.039
#> Item_9 0.038
#> Item_10 0.033
#> Item_11 0.039
#> Item_12 0.041
#> Item_13 0.035
#> Item_14 0.035
#> Item_15 0.038
#> Item_16 0.034
#> Item_17 0.037
#> Item_18 0.036
#> Item_19 0.038
#> Item_20 0.041
#> Item_21 0.036
#> Item_22 0.039
#> Item_23 0.036
#> Item_24 0.032
#> Item_25 0.036
#> Item_26 0.035
#> Item_27 0.029
#> Item_28 0.039
#> Item_29 0.038
#> Item_30 0.033
#> Item_31 0.038
#> Item_32 0.041
#> Item_33 0.035
#> Item_34 0.035
#> Item_35 0.038
#> Item_36 0.034
#> Item_37 0.038
#> Item_38 0.036
#> Item_39 0.038
#> Item_40 0.041
#>
#> SS loadings: 7.081 6.954
#> Proportion Var: 0.177 0.174
#>
#> Factor correlations:
#>
#> thetapre thetapost
#> thetapre 1.000
#> thetapost 0.701 1
# test data
Theta <- cbind(c(0, 1, 2), c(0,1,2))
nochange <- simdata(a, d, itemtype = '2PL', Theta = Theta)
change <- simdata(a, d, itemtype = '2PL', Theta = Theta +
cbind(0, c(-1, -1, -1)))
# total score differences
data.frame(pre=rowSums(nochange[,1:J]),
post=rowSums(nochange[,1:J + J]))
#> pre post
#> 1 10 8
#> 2 12 15
#> 3 18 18
data.frame(pre=rowSums(change[,1:J]),
post=rowSums(change[,1:J + J]))
#> pre post
#> 1 12 5
#> 2 14 10
#> 3 19 17
RCI(mod, predat = nochange)
#> pre.score post.score converged diff SE z p
#> 1 -0.052 -0.483 TRUE -0.431 0.524 -0.822 0.411
#> 2 0.412 0.943 TRUE 0.531 0.542 0.978 0.328
#> 3 1.673 1.367 TRUE -0.306 0.641 -0.478 0.633
RCI(mod, predat = change)
#> pre.score post.score converged diff SE z p
#> 1 0.215 -1.063 TRUE -1.278 0.554 -2.305 0.021
#> 2 0.871 -0.080 TRUE -0.951 0.536 -1.776 0.076
#> 3 1.867 1.210 TRUE -0.657 0.651 -1.009 0.313
# expected total-score metric reported instead
RCI(mod, predat = nochange, expected.scores=TRUE)
#> pre.score post.score converged diff SE z p
#> 1 9.638 7.489 TRUE -2.148 2.591 -0.822 0.411
#> 2 11.979 14.406 TRUE 2.427 2.458 0.978 0.328
#> 3 16.961 16.016 TRUE -0.945 1.971 -0.478 0.633
RCI(mod, predat = change, expected.scores=TRUE)
#> pre.score post.score converged diff SE z p
#> 1 10.997 4.973 TRUE -6.024 2.439 -2.305 0.021
#> 2 14.103 9.493 TRUE -4.610 2.509 -1.776 0.076
#> 3 17.463 15.459 TRUE -2.004 1.956 -1.009 0.313
# }