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RE: st: Principal Components Analysis with count data


From   Cameron McIntosh <[email protected]>
To   STATA LIST <[email protected]>
Subject   RE: st: Principal Components Analysis with count data
Date   Mon, 10 Aug 2009 22:49:19 -0400

Hi Jason, Adrian

You should also check out chapters 8 and 9 of:

Basilevsky, A. (1994). Statistical Factor Analysis and Related Methods: Theory and Applications. New York: Wiley. 

Cam


----------------------------------------
> From: [email protected]
> To: [email protected]
> Subject: RE: st: Principal Components Analysis with count data
> Date: Mon, 10 Aug 2009 20:12:39 -0400
>
>
>
> Jason wrote:
>> As PCA is appropriate for continuous data. I am wondering if it is
>> appropriate for count data (i.e., highly skewed)? Can someone provide
>> advice, guidance or a resource in using PCA with count data?
>
>
> Dear Jason,
>
> I don't know much about this but a while ago I was looking for something similar and I came across this paper which helped me:
>
> http://cosco.hiit.fi/search/MPCA/buntineDPCA.pdf
>
> If that's not useful to you, it has a bunch of references in the back. Maybe those can help.
>
> Best,
> Adrian
>
>
>
>
>>
>> Cheers,
>> Jason
>>
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