Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: R: PCA analysis


From   "Carlo Lazzaro" <carlo.lazzaro@tiscalinet.it>
To   <statalist@hsphsun2.harvard.edu>
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: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] 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 		 	   		  
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index