Nothing
genFMPData<-function(NSubj, bParams, theta = NULL, thetaMN = 0, thetaVar = 1, seed){
###################################################################
# GENERATE Data FOR testing FMP routines
# SAME DATA USED IN BROWNE AND WALLER N=2000 CYN MMPI-A EXAMPLE
if(is.data.frame(bParams)) bParams <- as.matrix(bParams)
if(ncol(bParams)!=9) stop("\n\nbParams should have 9 columns")
# Prob of a keyed response 2PL ------------------------------##
P <- function(m){
1/(1+exp(-m))
}
NItems = nrow(bParams)
set.seed(seed)
# if theta not supplied by the user, generate NSubj random
# normal deviates from a population with mean = thetaMN and
# variance = thetaVar
if(is.null(theta)){
x <- sort(rnorm(n=NSubj,mean=thetaMN, sd=thetaVar))
}
else x <- theta
xpoly <- matrix(cbind(1,x, x^2, x^3, x^4, x^5, x^6, x^7),nrow=NSubj, 8)
# create 0/1 observed item response data
# U = probability of a keyed response
# data = 0/1
data <- U <- matrix(0,NSubj, NItems)
for(item in 1:NItems){
U[,item] <- P(xpoly %*% bParams[item,1:8])
data[runif(NSubj) <=U[,item],item] <- 1
}
list(theta = x, data = data, seed = seed)
} ## END genFMPData
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