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	<title>Comments on: R, Stata and &#8220;non-rectangular&#8221; data</title>
	<atom:link href="http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/feed/" rel="self" type="application/rss+xml" />
	<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/</link>
	<description>Stata, Sociology, and Diffusion Models</description>
	<lastBuildDate>Sat, 19 Dec 2009 23:53:31 +0000</lastBuildDate>
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		<title>By: sunday morning links &#8211; academic experiences edition &#171; orgtheory.net</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-109</link>
		<dc:creator>sunday morning links &#8211; academic experiences edition &#171; orgtheory.net</dc:creator>
		<pubDate>Sun, 17 May 2009 02:35:09 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-109</guid>
		<description>[...] Back at Gabe&#8217;s house, Code and Culture, Pierre is a new blogger and has two posts on R vs. Stata and how to make R behave. Meanwhile, the Rossman does a hazard analysis of how people unsubrsribe to [...]</description>
		<content:encoded><![CDATA[<p>[...] Back at Gabe&#8217;s house, Code and Culture, Pierre is a new blogger and has two posts on R vs. Stata and how to make R behave. Meanwhile, the Rossman does a hazard analysis of how people unsubrsribe to [...]</p>
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		<title>By: pkremp</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-74</link>
		<dc:creator>pkremp</dc:creator>
		<pubDate>Wed, 29 Apr 2009 01:20:49 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-74</guid>
		<description>actually, i don’t have any opinion on people using spss — as long as they save their code/logs and can replicate their results, I’m fine with any statistical package… (but I agree that point-and-click without logs is a recipe for disaster)
i guess reformatting datasets can be a pain in any language; R is no exception… but being able to work on different datasets at the same time can definitely save time and avoid coding mistakes.</description>
		<content:encoded><![CDATA[<p>actually, i don’t have any opinion on people using spss — as long as they save their code/logs and can replicate their results, I’m fine with any statistical package… (but I agree that point-and-click without logs is a recipe for disaster)<br />
i guess reformatting datasets can be a pain in any language; R is no exception… but being able to work on different datasets at the same time can definitely save time and avoid coding mistakes.</p>
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		<title>By: Trey</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-72</link>
		<dc:creator>Trey</dc:creator>
		<pubDate>Wed, 29 Apr 2009 01:09:33 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-72</guid>
		<description>Agreed with what&#039;s written above, but it is possible to open more than one copy of Stata at once (on Windows boxes) to work with multiple datasets.</description>
		<content:encoded><![CDATA[<p>Agreed with what&#8217;s written above, but it is possible to open more than one copy of Stata at once (on Windows boxes) to work with multiple datasets.</p>
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		<title>By: shrinkingisaac</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-71</link>
		<dc:creator>shrinkingisaac</dc:creator>
		<pubDate>Wed, 29 Apr 2009 00:04:05 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-71</guid>
		<description>i&#039;ve always been baffled by how Stata can take something so simple and make it so complicated (&quot;reshape&quot; - no need to be embarrassed by having to look that one up. It just doesn&#039;t make sense).</description>
		<content:encoded><![CDATA[<p>i&#8217;ve always been baffled by how Stata can take something so simple and make it so complicated (&#8220;reshape&#8221; &#8211; no need to be embarrassed by having to look that one up. It just doesn&#8217;t make sense).</p>
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		<title>By: gabrielrossman</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-70</link>
		<dc:creator>gabrielrossman</dc:creator>
		<pubDate>Tue, 28 Apr 2009 22:28:09 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-70</guid>
		<description>it&#039;s funny because i spend a &lt;i&gt;lot&lt;/i&gt; of time merging and reshaping datasets but it never occurred to me that there was a better way to do it, i just figured that&#039;s the way it is. 
a friend of mine likes to say &quot;all 3s!&quot; that he (rightly) considers this to be a boast is pretty good evidence of what a pain merging issues are in Stata, i&#039;m just surprised that it&#039;s easier in another package. (no doubt you&#039;re thinking about me right now the same way i think of spss people)</description>
		<content:encoded><![CDATA[<p>it&#8217;s funny because i spend a <i>lot</i> of time merging and reshaping datasets but it never occurred to me that there was a better way to do it, i just figured that&#8217;s the way it is.<br />
a friend of mine likes to say &#8220;all 3s!&#8221; that he (rightly) considers this to be a boast is pretty good evidence of what a pain merging issues are in Stata, i&#8217;m just surprised that it&#8217;s easier in another package. (no doubt you&#8217;re thinking about me right now the same way i think of spss people)</p>
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		<title>By: Bobby Chen</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-69</link>
		<dc:creator>Bobby Chen</dc:creator>
		<pubDate>Tue, 28 Apr 2009 19:46:22 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-69</guid>
		<description>Hi Pierre: 

In my department there&#039;s a divide between R users and Stata users. Mainly having to do with the R users doing more work in network analysis as well as bayesian statistics. The stata users (like myself) is generally thought of as lower level non-quantiods. But I agree with you, working on merging multiple datasets gets very cumbersome with Stata.</description>
		<content:encoded><![CDATA[<p>Hi Pierre: </p>
<p>In my department there&#8217;s a divide between R users and Stata users. Mainly having to do with the R users doing more work in network analysis as well as bayesian statistics. The stata users (like myself) is generally thought of as lower level non-quantiods. But I agree with you, working on merging multiple datasets gets very cumbersome with Stata.</p>
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		<title>By: Vincent</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-68</link>
		<dc:creator>Vincent</dc:creator>
		<pubDate>Tue, 28 Apr 2009 19:34:41 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-68</guid>
		<description>Thanks a lot Pierre. This is a very timely post for me, and I look forward to your next entries.</description>
		<content:encoded><![CDATA[<p>Thanks a lot Pierre. This is a very timely post for me, and I look forward to your next entries.</p>
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		<title>By: Jenn Lena</title>
		<link>http://codeandculture.wordpress.com/2009/04/28/r-stata-and-non-rectangular-data/#comment-66</link>
		<dc:creator>Jenn Lena</dc:creator>
		<pubDate>Tue, 28 Apr 2009 17:23:23 +0000</pubDate>
		<guid isPermaLink="false">http://codeandculture.wordpress.com/?p=279#comment-66</guid>
		<description>Welcome, Pierre!</description>
		<content:encoded><![CDATA[<p>Welcome, Pierre!</p>
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