annina <wossona <at> yahoo.co.uk> writes: > > > Hello, > I have a problem with the princomp method, it seems stupid but I don't know > how to handle it. > I have a dataset with some regular data and some outliers. I want to > calculate a PCA on the regular data and get the scores for all data, > including the outliers. Is this possible on R? > Thank you for helping!!!
Dear Annina, Yes, this is possible in R. Both 'prcomp' (that I recommend) and 'princompä have 'predict' method which can have 'newdata' as an argument. The following assumes that 'keep' is a vector which is TRUE for cases you keep, and FALSE for those ignored: pc <- prcomp(x[keep,]) predict(pc, newdata=x) cheers, Jari Oksanen ______________________________________________ [email protected] 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.
