+++ /dev/null
-TopCts <-
-function(pvalue, PP=NULL, TrueNames, TopNum){
- NumOfMethods=ncol(pvalue)
- puse=pvalue
- if(1%in%PP)puse[,PP==1]=1-pvalue[,PP==1]
- #puse.list=data.frame(puse)
- FD=matrix(rep(0,NumOfMethods*TopNum),ncol=NumOfMethods)
-# Rank=apply(puse,2,rank)
-# for(i in 1:TopNum)
-# FD[i,]=sapply(1:NumOfMethods, function(j)sum(!rownames(Rank)[Rank[,j]<=i]%in%TrueNames))
-# FD=sapply(1:TopNum, function(i)sapply(1:NumOfMethods, function(j)sum(!rownames(Rank)[Rank[,j]<=i]%in%TrueNames)))
- for (s in 1:NumOfMethods){
- tmp=puse[,s]
- names(tmp)=rownames(puse)
- sorttmp=sort(tmp)
- for( c in 2:TopNum)
- FD[c, s]=FD[(c-1),s]+as.numeric(!names(sorttmp)[c]%in%TrueNames)
- }
- FD
- #matplot(TopNum,FD,type="l",ylim=c(0,1),xlab="Top DE selected", ylab="FDR")
- #legend("rightbottom",col=1:TopNum, lty=1:TopNum, names)
- }
-