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RE: st: How to implement Discrete Principal Component Analysis by using POLYCHORICPCA


From   Cameron McIntosh <cnm100@hotmail.com>
To   STATA LIST <statalist@hsphsun2.harvard.edu>
Subject   RE: st: How to implement Discrete Principal Component Analysis by using POLYCHORICPCA
Date   Thu, 5 Jan 2012 15:38:35 -0500

What's the purpose here? You want to compare two ways of doing PCA with discrete variables? Doesn't the polychoric pca module give you all you need to know?Cam

> Date: Fri, 6 Jan 2012 00:26:50 +0400
> Subject: st: How to implement Discrete Principal Component Analysis by using POLYCHORICPCA
> From: chejen.wang@gmail.com
> To: statalist@hsphsun2.harvard.edu
> 
> Dear all,
> 
> Happy New year.
> 
> Is there anyone who knows how to implement Discrete Principal
> Component Analysis after running POLYCHORICPCA.ado. My question is
> that, after obtaining the eigenvalues, how can I know the
> corresponding eigenvector which is similar to those eigenvector
> obtained after running PCA procedure, shown below.
> 
> 
> Principal components (eigenvectors)
> 
>     ------------------------------------------------
>         Variable |    Comp1     Comp2 | Unexplained
>     -------------+--------------------+-------------
>          foreign |   0.7071    0.7071 |           0
>       gear_ratio |   0.7071   -0.7071 |           0
>     ------------------------------------------------
> 
> Thank you very much for your help in advance.
> with kind regards,
> 
> 
> Charles Wang
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