Hi, I am trying to do a PCA on my data but I keep getting the error message
svd(x, nu=0) infinite or missing values >From the messages posted on the subject, I understand that the NAs in my data might be the problem, but I thought na.omit would take care of that. Less than 5% of my cells are missing data. However, the NAs are not regularly distributed across my matrix: certain cases and variables have most of the NAs in the data set. Might that be the problem? Any hints as to how to resolve this without having to get rid of those cases and variables? Code is pasted below. Any help is greatly appreciated! Silvia. CODE: ot = read.table('C:\\Documents and Settings\\...\\matrix.txt', header=T) ot.pca = prcomp(ot, scale.=T, na.omit)#this is as far as I got. I have also tried princomp but I get a very similar error message I use Windows, and R version 2.6.0. -- View this message in context: http://www.nabble.com/PCA-error%3A-svd%28x%2C-nu%3D0%29-infinite-or-missing-values-tp14627432p14627432.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.