As I believe the posting guide notes, you may do better addressing questions about specialized packages to the package maintainers, who often do not monitor this list.
Cheers, Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Apr 25, 2019 at 9:29 AM manju moorthy <manjumoorth...@gmail.com> wrote: > Iam using autoplot function from the ggfortify library. I saw that autoplot > gives the 1st two principal components. I am using autoplot to generate 1st > two principal components on a clustered object. > The usage is like : > > autoplot(pam(my_data[1:256], 3), label = TRUE, label.size = 4, frame = > TRUE, frame.type = 'norm') > > So here autoplot generates the principal components on the clustered > object. So can we actually call this a PCA plot? Also what is the algorithm > used by autoplot for generating principal components? > > Thanks in advance for the help. > > > > < > http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail > > > Virus-free. > www.avg.com > < > http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail > > > <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> > > [[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. > [[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.