On Fri, 2008-06-27 at 21:43 +0200, Dan Bolser wrote:
> 2008/6/27 Prof Brian Ripley <[EMAIL PROTECTED]>:
> >
> > I forgot to answer that: just ask R to show you stats:::biplot.prcomp
>
> Ah! I never knew the ::: trick!
In this case you also need to know that biplot.prcomp is in stats.
getAnywhere
2008/6/27 Prof Brian Ripley <[EMAIL PROTECTED]>:
> 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,m
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, scal
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$x)[,1]
my
Please consider the following PCA example;
my.df <-
data.frame(A=(x <- rnorm(100,mean=100, sd=10)),
B=(y <- x + rnorm(100,mean=10, sd=10)))
plot(my.df)
my.pc <-
prcomp(my.df, center=TRUE, scale=TRUE)
biplot(my.pc)
my.x <- (my.pc$x)[,1]
my.y <- (my.pc$x)[,2]
plot(my.x, my.y, t
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