Hello!
I am doing Principle Componenets Analysis using "psych" package:
mypc<-principal(mydata,5,scores=TRUE)
However, I was asked to run a case-weighted PCA - using an individual
weight for each case.
I could use "corr" from "boot" package to calculate the case-weighed
intercorrelation matrix. But if I use the intercorrelation matrix as input
(instead of the raw data), I am not going to get factor scores, which I do
need to get.
Any advice?
Thank you very much!
--
Dimitri Liakhovitski
[[alternative HTML version deleted]]
______________________________________________
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.
