On Fri, 27 Jun 2008, Prof Brian Ripley wrote:

On Fri, 27 Jun 2008, Dan Bolser wrote:

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?

I forgot to answer that: just ask R to show you stats:::biplot.prcomp

What am I missing?

Reading the references on ?biplot.prcomp, or a good book on the subject (such as MASS or Gower & Hand).

A biplot is a specific type of plot and the help page does not spell out the rather mathematical details (and there are several variants).


Dan.

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--
Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595


--
Brian D. Ripley,                  [EMAIL PROTECTED]
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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and provide commented, minimal, self-contained, reproducible code.

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