a PCA plot that
works.
Many thanks,
Chris
>Bryan
>
>On May 7, 2012, at 9:57 AM, Christian Cole wrote:
>
>> Hi Bryan,
>>
>>
>> Many thanks for the replies.
>>
>> The data is gene expression data for 36 samples over 11k genes.
>>
>> I
rks for both
>functions:
>
>pairs(pcaResult$x,col=iris[,5])
>
>Does this help?
>
>Am 07.05.2012 um 12:22 schrieb Christian Cole:
>
>> I have a decent sized matrix (36 x 11,000) that I have preformed a PCA
>>on
>> with prcomp(), but due to the large number of va
plot.princomp
>>.html
>>
>> scale
>> The variables are scaled by lambda ^ scale and the observations are
>>scaled by lambda ^ (1-scale) where lambda are the singular values as
>>computed by princomp. Normally 0 <= scale <= 1, and a warning will be
>>issued
n
>
>***
>Bryan Hanson
>Professor of Chemistry & Biochemistry
>DePauw University
>
>On May 7, 2012, at 6:22 AM, Christian Cole wrote:
>
>> I have a decent sized matrix (36 x 11,000) that I have preformed a PCA
>>on
>> with prcomp(), but due to th
I have a decent sized matrix (36 x 11,000) that I have preformed a PCA on
with prcomp(), but due to the large number of variables I can't plot the
result with biplot(). How else can I plot the PCA output?
I tried posting this before, but got no responses so I'm trying again.
Surely this is a commo
Hi all,
I want to plot the outcome of my PCA analysis (done with prcomp()), but I
have so many variables that plotting them obscures the whole plot. How do
I suppress the plotting of variables in a biplot? I only want to see the
units.
I appreciate both data constitute a biplot, so alternatively
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