<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: PROC FACTOR procedure in Graphics Programming</title>
    <link>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858552#M23490</link>
    <description>&lt;P&gt;By default, PROC FACTOR works on correlation matrices. You can optionally request that it work on covariance matrices.&lt;/P&gt;</description>
    <pubDate>Mon, 13 Feb 2023 18:26:48 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2023-02-13T18:26:48Z</dc:date>
    <item>
      <title>PROC FACTOR procedure</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858547#M23489</link>
      <description>&lt;P&gt;Hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;i have a quick question : does the proc factor (method=prin) need prior standardization (mean=0 and std=1) of the continuous variables or by default is it included in the procedure? Actually, i am used to work with R software and for example the package FactoMineR with the PCA function performs a standardization by default.&lt;/P&gt;&lt;P&gt;Thank you in advance !&amp;nbsp;&lt;/P&gt;&lt;P&gt;Aline&lt;/P&gt;</description>
      <pubDate>Mon, 13 Feb 2023 18:17:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858547#M23489</guid>
      <dc:creator>Aline_A16</dc:creator>
      <dc:date>2023-02-13T18:17:46Z</dc:date>
    </item>
    <item>
      <title>Re: PROC FACTOR procedure</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858552#M23490</link>
      <description>&lt;P&gt;By default, PROC FACTOR works on correlation matrices. You can optionally request that it work on covariance matrices.&lt;/P&gt;</description>
      <pubDate>Mon, 13 Feb 2023 18:26:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858552#M23490</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2023-02-13T18:26:48Z</dc:date>
    </item>
    <item>
      <title>Re: PROC FACTOR procedure</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858567#M23493</link>
      <description>&lt;P&gt;I should go back to my statistics courses cause i forgot the difference between covariance and correlation matrix. Can you tell me in which case i need to perform a prior standardization ?&lt;/P&gt;</description>
      <pubDate>Mon, 13 Feb 2023 18:44:19 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858567#M23493</guid>
      <dc:creator>Aline_A16</dc:creator>
      <dc:date>2023-02-13T18:44:19Z</dc:date>
    </item>
    <item>
      <title>Re: PROC FACTOR procedure</title>
      <link>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858572#M23494</link>
      <description>&lt;P&gt;Correlation comes from transforming variables to have mean=0 and variance=1. Covariance has mean=0, but no transformation of the variance is done.&lt;/P&gt;</description>
      <pubDate>Mon, 13 Feb 2023 18:53:55 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Graphics-Programming/PROC-FACTOR-procedure/m-p/858572#M23494</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2023-02-13T18:53:55Z</dc:date>
    </item>
  </channel>
</rss>

