Transforms a matrix of items into a new matrix where the select polytomous items have been converted into comparable dichotomous items with the same information.
Usage
poly2dich(data, which.items = 1:ncol(data), sep = "_cat.")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
Author
Phil Chalmers rphilip.chalmers@gmail.com
Examples
# \donttest{
data(Science)
head(Science)
#>   Comfort Work Future Benefit
#> 1       4    4      3       2
#> 2       3    3      3       3
#> 3       3    2      2       3
#> 4       3    2      2       3
#> 5       3    4      4       1
#> 6       4    4      3       3
newScience <- poly2dich(Science)
head(newScience)
#>      Comfort_cat.1 Comfort_cat.2 Comfort_cat.3 Comfort_cat.4 Work_cat.1
#> [1,]             0             0             0             1          0
#> [2,]             0             0             1             0          0
#> [3,]             0             0             1             0          0
#> [4,]             0             0             1             0          0
#> [5,]             0             0             1             0          0
#> [6,]             0             0             0             1          0
#>      Work_cat.2 Work_cat.3 Work_cat.4 Future_cat.1 Future_cat.2 Future_cat.3
#> [1,]          0          0          1            0            0            1
#> [2,]          0          1          0            0            0            1
#> [3,]          1          0          0            0            1            0
#> [4,]          1          0          0            0            1            0
#> [5,]          0          0          1            0            0            0
#> [6,]          0          0          1            0            0            1
#>      Future_cat.4 Benefit_cat.1 Benefit_cat.2 Benefit_cat.3 Benefit_cat.4
#> [1,]            0             0             1             0             0
#> [2,]            0             0             0             1             0
#> [3,]            0             0             0             1             0
#> [4,]            0             0             0             1             0
#> [5,]            1             1             0             0             0
#> [6,]            0             0             0             1             0
newScience2 <- poly2dich(Science, which.items = 2)
head(newScience2)
#>   Comfort Work_cat.1 Work_cat.2 Work_cat.3 Work_cat.4 Future Benefit
#> 1       4          0          0          0          1      3       2
#> 2       3          0          0          1          0      3       3
#> 3       3          0          1          0          0      2       3
#> 4       3          0          1          0          0      2       3
#> 5       3          0          0          0          1      4       1
#> 6       4          0          0          0          1      3       3
# }