Hi, I am trying to understand how the biplot.prcomp is constructed so I can manipulate it to emphasise particular observations and reduce the number of variables shown.
The prcomp model I have ran has cor=TRUE and scale=TRUE I have worked out from looking at str(prcomp.model) that... prcomp.model$x = the observations ploted in the biplot prcomp.model$rotation = the variables that form the arrows. But there appears to be a scaling factor because when I plot biplot(prcomp.model$rotation, prcomp.model$x) The biplot is slightly off scale compared with biplot(prcomp.model) Under ?biplot.prcomp it talks about lambda^scale and lambda^(1-scale) but I just can't seem to work it out so that the two biplots look the same. HELP!! Thanks Chris -- View this message in context: http://r.789695.n4.nabble.com/biplot-breakdown-help-tp3344458p3344458.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
