Hi R-users, I need your help in the following problem. Suppose we have a regression problem containing 25 predictor variables of 1000 individuals. I want to divide the data matrix ( 1000 x 25 ) into two partitions for training (70%) and testing(30%). For this reason, i sample 70% of data into another training matrix and remaining 30% into testing matrix using pseudorandom numbers (for future analysis).
I need some efficient solution so that we can generate both matrix with minimal time. Thanks in advance. Sabyasachi -- View this message in context: http://www.nabble.com/How-to-partition-sample-space-tf3888059.html#a11021390 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch 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.
