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	<title>Comments on: Gnuplot in Action</title>
	<atom:link href="http://hans.fugal.net/blog/2008/09/22/gnuplot-in-action/feed/" rel="self" type="application/rss+xml" />
	<link>http://hans.fugal.net/blog/2008/09/22/gnuplot-in-action/</link>
	<description>Counterpoint by Hans Fugal</description>
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		<title>By: eggyknap</title>
		<link>http://hans.fugal.net/blog/2008/09/22/gnuplot-in-action/comment-page-1/#comment-1780</link>
		<dc:creator>eggyknap</dc:creator>
		<pubDate>Wed, 31 Dec 1969 17:00:00 +0000</pubDate>
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		<description>&lt;p&gt;For greater ability to manipulate data at the possible expense of prettiness in resulting plots, try R (r-project.org)&lt;/p&gt;</description>
		<content:encoded><![CDATA[<p>For greater ability to manipulate data at the possible expense of prettiness in resulting plots, try R (r-project.org)</p>
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		<title>By: Hans</title>
		<link>http://hans.fugal.net/blog/2008/09/22/gnuplot-in-action/comment-page-1/#comment-1781</link>
		<dc:creator>Hans</dc:creator>
		<pubDate>Wed, 31 Dec 1969 17:00:00 +0000</pubDate>
		<guid isPermaLink="false">urn:uuid:15ad7f16-2a9b-4bad-a41c-355584ee81da#comment-1781</guid>
		<description>&lt;p&gt;BIG R&lt;br /&gt;
little r&lt;br /&gt;
Rosy Robin Ross.&lt;br /&gt;
Rosy&#039;s going riding on her red rhinoceros.&lt;/p&gt;

&lt;p&gt;R is an excellent tool and another one which I highly recommend. There is some overlap, but I see the tools as complements—R picks up where gnuplot leaves off. Whenever I need to make histograms or do statistical analysis (vs. graphical analysis) I reach for R.&lt;/p&gt;

&lt;p&gt;I didn&#039;t mention it here because I didn&#039;t want to steal the spotlight from gnuplot. Also because this is a book review about an awesome gnuplot book and I have yet to come across an awesome R book (though there are a few candidates I haven&#039;t got my hands on yet).&lt;/p&gt;</description>
		<content:encoded><![CDATA[<p>BIG R<br />
little r<br />
Rosy Robin Ross.<br />
Rosy&#8217;s going riding on her red rhinoceros.</p>
<p>R is an excellent tool and another one which I highly recommend. There is some overlap, but I see the tools as complements—R picks up where gnuplot leaves off. Whenever I need to make histograms or do statistical analysis (vs. graphical analysis) I reach for R.</p>
<p>I didn&#8217;t mention it here because I didn&#8217;t want to steal the spotlight from gnuplot. Also because this is a book review about an awesome gnuplot book and I have yet to come across an awesome R book (though there are a few candidates I haven&#8217;t got my hands on yet).</p>
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