<div dir='ltr'>Thank you !<br><br><div><hr id="stopSpelling">Date: Sat, 14 Nov 2015 11:06:37 -0800<br>From: <a href="/user/SendEmail.jtp?type=node&node=4714699&i=0" target="_top" rel="nofollow" link="external">[hidden email]</a><br>To: <a href="/user/SendEmail.jtp?type=node&node=4714699&i=1" target="_top" rel="nofollow" link="external">[hidden email]</a><br>Subject: Re: Rplot for Correspondence Analisys<br><br>

        The following tutorials might be helpful:

1. <a href="http://www.sthda.com/english/wiki/correspondence-analysis-in-r-the-ultimate-guide-for-the-analysis-the-visualization-and-the-interpretation-r-software-and-data-mining" rel="nofollow" target="_blank" link="external"> Correspondence Analysis in R: The Ultimate Guide for the Analysis, the Visualization and the Interpretation </a> 2. <a href="http://www.sthda.com/english/wiki/ca-package-and-factoextra-correspondence-analysis-r-software-and-data-mining" rel="nofollow" target="_blank" link="external"> ca package and factoextra : Correspondence Analysis</a> 3. <a href="http://www.sthda.com/english/wiki/ade4-and-factoextra-correspondence-analysis-r-software-and-data-mining" rel="nofollow" target="_blank" link="external">ade4 and factoextra : Correspondence Analysis </a> Good Luck!

<br>PK

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