peter at esb.ucp.pt
Thu Sep 9 12:55:24 CEST 1999
In using the princomp function for Principle components analysis does setting
1) cor=TRUE result in princomp using a correlation matrix as in princomp(crimes,
cor = TRUE) and
2)cor=FALSE, a covariance matrix as in princomp(scale(crimes, scale = TRUE, center
= TRUE), cor = FALSE)
The help file explains the difference in scaling, but it is unclear to me if
automatic scaling (cor=TRUE) gives standardisation of data like in the case when
Rusults using both methods are quite similar though.
Can anyone explain the difference.
Escola Superior de Biotecnologia
Universidade Católica Portuguesa
Rua Dr. António Bernardino de Almeida
r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html
Send "info", "help", or "[un]subscribe"
(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch
More information about the R-help