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.
