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	<title>Rense Nieuwenhuis &#187; convert.isi</title>
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	<description>&#34;The extra-ordinary lies within the curve of normality&#34;</description>
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		<title>useR! 2008: Retrieving old data using &#8216;read.isi&#8217;</title>
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		<pubDate>Sun, 18 May 2008 19:09:19 +0000</pubDate>
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		<description><![CDATA[Today I was notified that my proposal for a presentation on userR! 2008, the The R User Conference 2008,Â is approved. Actually, I applied for a poster-presentation, but apparently the organization upgraded it to a full ...]]></description>
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<a href="http://i0.wp.com/www.rensenieuwenhuis.nl/wp-content/uploads/2008/05/user-middle.png"><img class="alignnone size-medium wp-image-346" title="useR! 2008" src="http://i1.wp.com/www.rensenieuwenhuis.nl/wp-content/uploads/2008/05/user-middle.png?resize=237%2C114" alt="" data-recalc-dims="1" /></a></p>
<p><a href="http://www.rensenieuwenhuis.nl/wp-content/uploads/2008/05/user-middle.png"></a>Today I was notified that my proposal for a presentation on userR! 2008, the <a href="http://www.rensenieuwenhuis.nl/wp-admin/r-project.org/useR-2008"> The R User Conference 2008</a>,Â is approved. Actually, I applied for a poster-presentation, but apparently the organization upgraded it to a full presentation. The presentation will be on a macro I programmed, enabling me to retrieve old statistical data, which was incompatible with commonly used statistical programs.</p>
<p>From the proposal:</p>
<blockquote><p>Due to technological and software development, it sometimes is no longer possible to automatically read older data-files into statistical software. Especially data-files that originate from the times magnetic tapes were used to store data are often distributed as raw (ASCII) data, without proper means to read those data into statistical packages.<br />
However, for those interested in using data to perform longitudinal analyses, these older sets of data are very valuable.<br />
In the Netherlands, the national archive for data storage (DANS) is currently organizing conferences on a unified and time-proof manner of storing data-files. But what to do with those data that already have become difficult to access?</p></blockquote>
<p>The solution I came up with consists of a software macro, that read and interprets the code-book and converts this to syntax allowing the original data to be read into a statistical package. It is programmed for <a href="http://www.r-project.org">R-Project</a>, the open-source software package for statistical analysis that I work with and <a href="http://www.rensenieuwenhuis.nl/r-project/">write about</a>. A first public release is scheduled shortly before the conference.</p>
<p>The conference will be held in Dortmund, August 12-14. It will be the ideal opportunity of sharing my approach with experts in the field and perhaps find some people who are interested in using it.</p>
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