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Dear All, Sorry for asking a newbie question. I want to ask how to import 1000 datasets whose file names are labelled from data1.dat to data1000.dat into R so that they are named M[1, , ] to M[1000, , ] accordingly. Thank you very much. Best Regards, Ray [[alternative HTML version deleted]]

Dear All, I've an array with some missing values (NA) in between. I want to remove that particular matrix if a missing value is detected. How can I do so? Thank you very much. Best regards, Ray [[alternative HTML version deleted]]

Dear All, Here is a hypothetical sample (sorry for the clumsy code): A1 <- matrix(1:5, nrow=5, ncol=1) A2 <- matrix(6:10, nrow=5, ncol=1) A3 <- matrix(11:15, nrow=5, ncol=1) A4 <- matrix(16:20, nrow=5, ncol=1) A5 <- matrix(21:25, nrow=5, ncol=1) A6 <- matrix(26:30, nrow=5, ncol=1) B1 <- matrix(c(A1, A2, A3), nrow=5, ncol=3) B2 <- matrix(c(A2, A3, A4), nrow=5, ncol=3) B3

Dear All, I've a 10 by 5 data frame like this set.seed(1001) a <- rnorm(10) b <- rnorm(10) c <- rnorm(10) d <- rnorm(10) e <- rnorm(10) A <- cbind(a,b,c,d,e) Each row is one datum. I want to resample within A[,5]. Fit the regression lines lm(A[,5] ~ A[,1] + A[,2]) and lm(A[,5] ~ A[,3] + A[,4]) to each bootstrap sample. I don't know how to write the statistics part. Can

Dear All, I wrote a function datagen to simulate a dataset. I would like to generate 1000 datasets and export them with file names from data0001.dat to data1000.dat. Would anybody please provide some useful codes on this? Thank you very much. Best Regards, Ray [[alternative HTML version deleted]]