Dear All, I have got microarray data matrix 'yeast' of dimension 22000x600. I want to make 50 independent samples of dimension 22000x300 from the original matrix 'yeast'. And then want to calculate pearsons CC for each of the obtained 50 matrices. It seems it is possible to do this using 'boot' function from library boot but I am not able to figure out how? I have done following so far: cor.fun <- function(data, indices) {data.samp <- data[indices,] +tmp.cor <- with(data.samp, cor(t(yeast), met="pearson")) +return(tmp.cor) +} >corr.boot <- boot(r, cor.fun, R=50) Error in eval(substitute(expr), data, enclos = parent.frame()) : numeric 'envir' arg not of length one But I am not sure it is serving my purpose. I am really stuck. Please help! Best Lee [[alternative HTML version deleted]]