Message-ID: <ddopak$jom$1@sea.gmane.org>
Date: 2005-08-15T00:57:52Z
From: Alan Zhao
Subject: PCA problem in R
In-Reply-To: <1124030772.42ff59348c387@zeppo.wmin.ac.uk>
R.P.Clement at westminster.ac.uk wrote:
> Hi. I have two comments on this.
>
> Quoting Prof Brian Ripley <ripley at stats.ox.ac.uk>:
>
>
>>On Sat, 13 Aug 2005, Alan Zhao wrote:
>>
>>
>>>When I have more variables than units, say a 195*10896 matrix which has
>>>10896 variables and 195 samples. prcomp will give only 195 principal
>>>components. I checked in the help, but there is no explanation that why
>>>this happen.
>>
>>There is not even a definition of a PC in the help. Did you read the
>>references? This is what they are given for!
>
>
> I don't know if it's too simple and introductory for the OP, but I quite like
> Lindsay Smith's intro to PCA.
>
> http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf
It is a very good tutorial. Thank you very much for your help.
Sincerely,
Zheng Zhao
Aug-14-2005