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	<title>Comments on: Statistical software</title>
	<link>http://www.26econ.com/statistical-software/</link>
	<description>Online economics</description>
	<pubDate>Fri, 10 Oct 2008 20:43:11 +0000</pubDate>
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		<title>By: Anon.</title>
		<link>http://www.26econ.com/statistical-software/#comment-8123</link>
		<dc:creator>Anon.</dc:creator>
		<pubDate>Thu, 26 Jun 2008 11:07:52 +0000</pubDate>
		<guid>http://www.26econ.com/statistical-software/#comment-8123</guid>
		<description>Re: file compatability --- R, at least, reads .txt and .csv files (and .xls?), as does MATLAB.</description>
		<content:encoded><![CDATA[<p>Re: file compatability &#8212; R, at least, reads .txt and .csv files (and .xls?), as does MATLAB.</p>
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		<title>By: Owinok</title>
		<link>http://www.26econ.com/statistical-software/#comment-8119</link>
		<dc:creator>Owinok</dc:creator>
		<pubDate>Thu, 26 Jun 2008 10:40:10 +0000</pubDate>
		<guid>http://www.26econ.com/statistical-software/#comment-8119</guid>
		<description>I have recently been acquainted with Stata too as I have been more familiar with SPSS. In spite of its being a very useful tool, my view is that the programming required to use Stata at an intermediate level does not compare as well with SPSS. I would appreciate an answer about why the previous post says that SPSs is less flexible.</description>
		<content:encoded><![CDATA[<p>I have recently been acquainted with Stata too as I have been more familiar with SPSS. In spite of its being a very useful tool, my view is that the programming required to use Stata at an intermediate level does not compare as well with SPSS. I would appreciate an answer about why the previous post says that SPSs is less flexible.</p>
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		<title>By: rodrigo</title>
		<link>http://www.26econ.com/statistical-software/#comment-8080</link>
		<dc:creator>rodrigo</dc:creator>
		<pubDate>Tue, 24 Jun 2008 14:32:46 +0000</pubDate>
		<guid>http://www.26econ.com/statistical-software/#comment-8080</guid>
		<description>I would say that there seems to be an inverse relationship between the success and dissemination of a statistical software and its flexibility. The power of Stata remains in its capability to adopt other's programming and some level of user friendship. E-views and SPSS are user friendly but inflexible. R is flexible but not friendly. SAS is none. Stata can be used by professional economist as well as a consultant. The others remain in its own niche.</description>
		<content:encoded><![CDATA[<p>I would say that there seems to be an inverse relationship between the success and dissemination of a statistical software and its flexibility. The power of Stata remains in its capability to adopt other&#8217;s programming and some level of user friendship. E-views and SPSS are user friendly but inflexible. R is flexible but not friendly. SAS is none. Stata can be used by professional economist as well as a consultant. The others remain in its own niche.</p>
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