Expand the replications to match expandDesign — expandReplications • SimDesign

Expands the replication budget to match the expandDesign structure.

Usage

expandReplications(replications, repeat_conditions)

Arguments

replications: number of replications. Can be a scalar to reflect the same replications overall, or a vector of unequal replication bugets.
repeat_conditions: integer vector used to repeat each design row the specified number of times. Can either be a single integer, which repeats each row this many times, or an integer vector equal to the number of total rows in the created object.

Value

an integer vector of the replication budget matching the expanded structure in expandDesign

References

Chalmers, R. P., & Adkins, M. C. (2020). Writing Effective and Reliable Monte Carlo Simulations with the SimDesign Package. The Quantitative Methods for Psychology, 16(4), 248-280. doi:10.20982/tqmp.16.4.p248

Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte Carlo simulation. Journal of Statistics Education, 24(3), 136-156. doi:10.1080/10691898.2016.1246953

Author

Phil Chalmers rphilip.chalmers@gmail.com

Examples

if (FALSE) { # \dontrun{

# repeat each row 4 times (for cluster computing)
Design <- createDesign(N = c(10, 20),
                       SD.equal = c(TRUE, FALSE))
Design4 <- expandDesign(Design, 4)
Design4

# match the replication budget. Target is 1000 replications
(replications4 <- expandReplications(1000, 4))

# hence, evaluate each row in Design4 250 times
cbind(Design4, replications4)

####
# Unequal Design intensities

Design <- createDesign(SD.equal = c(TRUE, FALSE),
                       N = c(10, 100, 1000))
# split first two conditions into half rows, next two conditions into quarters,
#  while N=1000 condition into tenths
expand <- c(2,2,4,4,10,10)
eDesign <- expandDesign(Design, expand)
eDesign

# target replications is R=1000 per condition
(replications24 <- expandReplications(1000, expand))
cbind(Design24, replications24)

} # }