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st: R: PCA analysis
From
"Carlo Lazzaro" <[email protected]>
To
<[email protected]>
Subject
st: R: PCA analysis
Date
Fri, 11 Oct 2013 12:13:02 +0200
I would recommend Ozgur to type -help pca- and take a look at the pca entry
in Stata .pdf manual (as usual, a good place to start).
Seconding Maarten's previous remarks about libraries, I would point Ozgur to
two handbooks on this topic:
Alvin C. Rencher, William F. Christensen. Methods of Multivariate Analysis,
Third Edition. Wiley, 2012 (see
http://onlinelibrary.wiley.com/book/10.1002/9781118391686)
Donald J. Treiman. Quantitative Data Analysis: Doing Social Research to Test
Ideas. Jossey-Bass, 2009, chapter 11 (not as sinister as chapter 11 would
sound in US!). (see
http://www.stata.com/bookstore/quantitative-data-analysis/; see also the
companion website:
http://www.ccpr.ucla.edu:8080/dtreiman/quantitative-data-analysis-stata-file
s-and-data-sets).
Kind regards,
Carlo
-----Messaggio originale-----
Da: [email protected]
[mailto:[email protected]] Per conto di Ozgur Ozdemir
Inviato: giovedì 10 ottobre 2013 21:55
A: Stata
Oggetto: st: PCA analysis
Hi,
Is there any way of understanding the performance of Principal component
analysis ? How I can show that using PCA is a good idea or not ?
Kind regards, Ozgur
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