Please consider the following PCA example;
my.df <-
data.frame(A=(x <- rnorm(100,mean=100, sd=10)),
B=(y <- x + rnorm(100,mean=10, sd=10)))
plot(my.df)
my.pc <-
prcomp(my.df, center=TRUE, scale=TRUE)
biplot(my.pc)
my.x <- (my.pc$x)[,1]
my.y <- (my.pc$x)[,2]
plot(my.x, my.y, type="n")
text(my.x, my.y, labels=1:100)
Clearly the plots have the same relative values, but I can't work out how
the second plot is relative to the first. I have been reading the manual,
but I still can't work it out.
Can anyone show me the code to generate the data that I see plotted using
biplot? What am I missing?
Dan.
[[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.
