search for: porig

...method = p.adjust.methods) { method <- match.arg(tolower(method),p.adjust.methods) if(method=="fdr") method <- "bh" if(is.data.frame(p)) { if(length(p)) for(i in 1:length(p)) p[[i]] <- Recall(p[[i]],method=method) return(p) } porig <- p notna <- !is.na(p) p <- as.vector(p[notna]) n <- length(p) if (n == 1) return(porig) if (n == 2 && method=="hommel") method <- "hochberg" porig[notna] <- switch(method, holm = { i <- 1:n...

hi I have a matrix (10x10) and I have to perform t tests on each row by considering first 5 elements as data set A and next 5 as data set B. This part is easy, However after one t test on each row, I have to randomly permute each column to get new values for each row and then perform another t.test. I can permute the column randomly using the function sample(x) but i am having problem in fitting