Nothing
expandFrame<-function(tab, clean = TRUE, zero = TRUE, returnFrame = TRUE)
{
# expandFrame expands a matrix or data-frame to an indicator supermatrix and
# optionally converts this to a data-frame again. By default NA becomes zero
# and constant rows and columns are eliminated.
n<-dim(tab)[1]
m<-dim(tab)[2]
g<-matrix(0,n,0)
l<-rep("",0)
lab1<-labels(tab)[[1]]
lab2<-labels(tab)[[2]]
for (j in 1:m) {
y<-as.factor(tab[,j]); h<-levels(y)
g<-cbind(g,ifelse(outer(y,h,"=="),1,0))
l<-c(l,paste(lab2[j],"_",h,sep=""))
}
if (zero) g<-ifelse(is.na(g),0,as.matrix(g))
if (clean) {
g<-g[which(rowSums(g)>0),which(colSums(g)>0)]
g<-g[,which(colSums(g)<n)]
}
if (!returnFrame) return(g)
vnames <- colnames(tab)
namevec <- list()
for (k in 1:m) {
namevec[[k]] <- paste(vnames[k], levels(tab[,k]), sep=".")
}
rcnames <- unlist(namevec)
colnames(g) <- rcnames
if (!is.null(rownames(tab))) rownames(g) <- rownames(tab)
apply(tab, 2, is.factor)
g<-as.data.frame(g,row.names=lab1)
names(g)<-l
return(g)
}
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