Nothing
`cttICC` <- function(scores, itemVector, xlim, ylim, plotTitle,
xlab, ylab, col = c("black","white"), colTheme,
gDevice, file, ...){
cutFind <- function(xxx, nCuts){
rng <- range(xxx, na.rm=TRUE)
breakCheck <- function(){
cutPlus <- (rng[2] - rng[1])/nCuts
breaks <- rng[1] + c(0,cumsum(rep(cutPlus,nCuts)))
mids <- 1:nCuts
for(j in 1:nCuts){
mids[j] <- (breaks[j] + breaks[j+1])/2
}
breaks[1] <- breaks[1] - .1
breaks[nCuts+1] <- breaks[nCuts+1] + .2
cats <- cut(xxx,breaks)
list(cats, mids, sort(table(cats))[1:2])
}
if(! missing(nCuts)){
out <- breakCheck()
}else{
for(nCuts in 3:20){
res <- breakCheck()
out <- res[[1]]
if(res[[3]][1] < 15 | res[[3]][2] < 15){
nCuts <- nCuts - 1
out <- breakCheck()
break
}
}
}
out
}
if(! missing(colTheme)){
if(colTheme=="dukes"){
col <- c("#450084","#CBB677")
} else if(colTheme=="spartans"){
col <- c("#003366","#FFCC00")
} else if(colTheme=="cavaliers"){
col <- c("#0D3268","#FF7003")
} else if(colTheme=="greys"){
col <- c("black","lightgrey")
} else {
col <- c("black","white")
}
}
if(missing(plotTitle)) plotTitle <- "Item Characteristic Curve"
if(missing(xlab)) xlab <- "Test Score"
if(missing(ylab)) ylab <- "Item Mean"
if(missing(xlim)) xlim <- range(scores,na.rm=TRUE)
if(missing(ylim)) ylim <- c(min(itemVector,na.rm=TRUE), max(itemVector,na.rm=TRUE))
theCut <- cutFind(scores)
itemVector <- na.omit(cbind(itemVector,theCut[[1]]))
itemMeans <- c(by(itemVector[,1],itemVector[,2],mean,na.rm=TRUE))
meansLoc <- theCut[[2]]
if(missing(gDevice)) gDevice <- "screen"
if(gDevice == "screen"){
#dev.new()
} else if(gDevice=="jpg" | gDevice=="jpeg"){
if(missing(file)) file <- "iccPlot.jpg"
jpeg(filename=file)
} else if(gDevice=="png"){
if(missing(file)) file <- "iccPlot.png"
png(filename=file)
}
plot(meansLoc, itemMeans, type="p", col=col[2], pch=16, ylim=ylim, main=plotTitle, xlab=xlab, ylab=ylab, ...)
points(meansLoc, itemMeans, type="b", col=col[1], lty=2, ...)
if(gDevice != "screen") dev.off()
}
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