Dear Sir/Madam, I have a large data set of 10,17,289 observations of 10,830 variables. I need to use PCA to reduce the dimension of dataset. I have already tried irlba, prcomp and nsprcomp packages in R but couldn't do for huge data sets.
i.e pc <- prcomp_irlba(sparseYY[1:5000,], n=50, retx = TRUE, center = TRUE, scale. = FALSE) able to get only few PCs for 5000 rows only so can you please help me what package can i use to do PCA in R for large dataset? Thanks and Regards [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.