Dear ALL I have this function in R:
func_LN <- function(data){ med_ge <- matrix(c(rep(NA,nrow(data)*ncol(data))), nrow = nrow(data), ncol=ncol(data), byrow=TRUE) T <- matrix(c(rep(NA,length(n)*ncol(data))), nrow = length(n), ncol=ncol(data), byrow=TRUE) Tdiff<- matrix(c(rep(NA,length(n)*ncol(data))), nrow = length(n), ncol=ncol(data), byrow=TRUE) T1<- c(rep(NA,ncol(data))) T0<- c(rep(NA,ncol(data))) cov_rank<-matrix(c(rep(NA,ncol(data)*ncol(data))), nrow = ncol(data), ncol = ncol(data) , byrow=TRUE) med <- c(rep(NA,ncol(data))) mean_ge <- c(rep(NA,ncol(data))) n<-c(NA,2) if (ncol(data)>1){ for(m_j in 1:ncol(data)){ med[m_j]<-median(data[,m_j])} for(m_j in 1:ncol(data)) for(m_i in 1:nrow(data)) { if(data[m_i,m_j]>med[m_j]) med_ge[m_i,m_j]=0 else med_ge[m_i,m_j]=1 } y=c(1,1,1,1,1,1,0,0,0,0) n<-c(sum(y == 1),sum(y==0)) touse3 <- y==1 T1<- apply(med_ge[touse3,], 2, mean) T0<- apply(med_ge[!touse3,], 2, mean) T=rbind(T1,T0) Tbar=colMeans(T) Tdiff=T-Tbar cov_rank=cov(med_ge) inv_cov_rank=ginv(cov_rank) LN=0 for(m_i in 1:length(n)) { LN <- LN+((Tdiff[m_i,]%*%inv_cov_rank)%*%t(Tdiff)[,m_i])*n[m_i] } return(LN) }} func_LN(data) Now, I want to try this function on subgroups of data. So I used "apply" result <- apply(gs , 1 , function(z) func_LN(data[which(z==1),])) but I saw this error: Error in apply(med_ge[touse3, ], 2, mean) : (subscript) logical subscript too long I will appreciate if you help me. PS:the elements of gs are 1 0r 0. dim(data)=24*2665 dim(gs)=107*2665 Soheila [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.