Last data update: 2014.03.03
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R: Random Data
ikcirt.rndData1 | R Documentation |
Random Data
Description
Generate a random realization of a minimally defined k-Cube Thurstonian IRT Model. Probably no need for user to call; called by kcirt.sim .
Usage
ikcirt.rndData1(N, qTypes, mxDelta, ns)
Arguments
N |
Number of observational units.
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qTypes |
Is a question to be fully ranked or most/least format. A character vector whose length is the number of blocks. Each element in 'R', 'M'.
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mxDelta |
Delta matrix.
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ns |
Response dimensions. A vector of length equal to the number of questions, each element giving the number of items in the question.
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Value
Ranked Data matrix.
Author(s)
Dave Zes, Korn/Ferry International
Examples
constructMap.ls <- list(
c(1,2),
c(2,3),
c(1,3)
)
qTypes <- rep("R", length(constructMap.ls))
mod <- kcirt.model(constructMap.ls=constructMap.ls, qTypes=qTypes, mxLambda=NULL)
N <- 50
set.seed(99999)
mod <- kcirt.sim(model=mod, N=N)
ikcirt.rndData1(N=N, qTypes=qTypes, mxDelta=mod$mxDelta, ns=mod$ns)
Results
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