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	<title>Comments on: R examine objects tutorial</title>
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	<link>http://www.win-vector.com/blog/2009/11/r-examine-objects-tutorial/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=r-examine-objects-tutorial</link>
	<description>The Applied Theorist&#039;s Point of View</description>
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		<title>By: jmount</title>
		<link>http://www.win-vector.com/blog/2009/11/r-examine-objects-tutorial/comment-page-1/#comment-1643</link>
		<dc:creator>jmount</dc:creator>
		<pubDate>Wed, 09 Dec 2009 16:21:55 +0000</pubDate>
		<guid isPermaLink="false">http://www.win-vector.com/blog/?p=1134#comment-1643</guid>
		<description>&lt;a href=&quot;#comment-1613&quot; rel=&quot;nofollow&quot;&gt;@Dirk Eddelbuettel &lt;/a&gt; Unfortunately coef(model) does not return the standard errors.   coef() is also hard to find (not listed in methods(class=class(model)), and being a generic functions you can&#039;t find it unless you notice its link in the documentation).

This is also a case where the documentation is irritating.  The entire text in the help(lm) page is: &quot;See also: The generic functions coef, effects, residuals, fitted, vcov.&quot;  You are not told why to look at these functions, so you have to go by their names.  And coef() is a generic function so its documentation is the nearly meaningless phrase &quot;coef is  generic functions which extracts model coefficients&quot; (the problem being what is extracted will vary from model type to model type).</description>
		<content:encoded><![CDATA[<p><a href="#comment-1613" rel="nofollow">@Dirk Eddelbuettel </a> Unfortunately coef(model) does not return the standard errors.   coef() is also hard to find (not listed in methods(class=class(model)), and being a generic functions you can&#8217;t find it unless you notice its link in the documentation).</p>
<p>This is also a case where the documentation is irritating.  The entire text in the help(lm) page is: &#8220;See also: The generic functions coef, effects, residuals, fitted, vcov.&#8221;  You are not told why to look at these functions, so you have to go by their names.  And coef() is a generic function so its documentation is the nearly meaningless phrase &#8220;coef is  generic functions which extracts model coefficients&#8221; (the problem being what is extracted will vary from model type to model type).</p>
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		<title>By: Dirk Eddelbuettel</title>
		<link>http://www.win-vector.com/blog/2009/11/r-examine-objects-tutorial/comment-page-1/#comment-1613</link>
		<dc:creator>Dirk Eddelbuettel</dc:creator>
		<pubDate>Tue, 01 Dec 2009 20:34:02 +0000</pubDate>
		<guid isPermaLink="false">http://www.win-vector.com/blog/?p=1134#comment-1613</guid>
		<description>Very nice indeed -- but the form of using &#039;coef(model)&#039; is generally preferred over &#039;summary(model)$coefficients&#039;.</description>
		<content:encoded><![CDATA[<p>Very nice indeed &#8212; but the form of using &#8216;coef(model)&#8217; is generally preferred over &#8216;summary(model)$coefficients&#8217;.</p>
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	<item>
		<title>By: shane</title>
		<link>http://www.win-vector.com/blog/2009/11/r-examine-objects-tutorial/comment-page-1/#comment-1600</link>
		<dc:creator>shane</dc:creator>
		<pubDate>Thu, 26 Nov 2009 04:05:35 +0000</pubDate>
		<guid isPermaLink="false">http://www.win-vector.com/blog/?p=1134#comment-1600</guid>
		<description>very helpful, thanks!</description>
		<content:encoded><![CDATA[<p>very helpful, thanks!</p>
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	<item>
		<title>By: jmount</title>
		<link>http://www.win-vector.com/blog/2009/11/r-examine-objects-tutorial/comment-page-1/#comment-1586</link>
		<dc:creator>jmount</dc:creator>
		<pubDate>Sun, 22 Nov 2009 01:38:58 +0000</pubDate>
		<guid isPermaLink="false">http://www.win-vector.com/blog/?p=1134#comment-1586</guid>
		<description>A sincere thank you to Joshua Ulrich ( http://www.linkedin.com/in/joshuaulrich ) who pointed out in this case the answers are in the R documentation system.  I guess I had been getting too cynical to thoroughly look there.</description>
		<content:encoded><![CDATA[<p>A sincere thank you to Joshua Ulrich ( <a href="http://www.linkedin.com/in/joshuaulrich" rel="nofollow">http://www.linkedin.com/in/joshuaulrich</a> ) who pointed out in this case the answers are in the R documentation system.  I guess I had been getting too cynical to thoroughly look there.</p>
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