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	<title>Comments on: Finding your way around R - reprise</title>
	<link>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144</link>
	<description>Data Analytics- the art and science of analyzing data</description>
	<pubDate>Wed, 10 Mar 2010 08:07:55 +0000</pubDate>
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		<title>by: Shane</title>
		<link>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12626</link>
		<pubDate>Sun, 31 Aug 2008 04:32:13 +0000</pubDate>
		<guid>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12626</guid>
					<description>Here are some links if you are starting from other languages such as SAS or SPSS:
http://www.statmethods.net/
http://oit.utk.edu/scc/RforSAS%26SPSSusers.pdf</description>
		<content:encoded><![CDATA[<p>Here are some links if you are starting from other languages such as SAS or SPSS:<br />
<a href='http://www.statmethods.net/' rel='nofollow'>http://www.statmethods.net/</a><br />
<a href='http://oit.utk.edu/scc/RforSAS%26SPSSusers.pdf' rel='nofollow'>http://oit.utk.edu/scc/RforSAS%26SPSSusers.pdf</a>
</p>
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		<title>by: John Aitchison</title>
		<link>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12585</link>
		<pubDate>Sat, 30 Aug 2008 03:33:48 +0000</pubDate>
		<guid>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12585</guid>
					<description>well, if you are in the Microsoft world (as in, you like to use Excel and Word) and you are interested in &quot;literate analytics&quot;, you might care to look at
http://inferenceforR.com

I looked, was underwhelmed, didn't from their little movie see anything one could not easily do with RCOM or cut and paste - but maybe it is early days yet.

From their website
&lt;blockquote&gt;

Inference for R enables you to use the familiar Microsoft Excel and Word environment to assemble dynamic documents containing your data, R software objects, R commands, and text annotations (commentary). When executed, a dynamic document runs R commands and generates a results document that contains textual, numerical and graphic output of R commands in addition to formatted text annotations. Results documents are useful for documenting your R work, creating standardized analyses, explaining and illustrating concepts with R, and publishing and sharing your results.

Inference for R enables reproducible research and literate programming

snip...

 This paradigm is based on the ideas of literate programming and literate data analysis

snip

Inference for R is an alternative to R-project’s Sweave functions
R provides Sweave for embedding R code in LaTEX documents to create dynamic reports, which can be updated automatically if the data or analysis changes. However, to use Sweave functions requires a steep learning curve involving LaTex text formatting syntax and Sweave procedures. 

snip

&lt;/blockquote&gt;

fwiw</description>
		<content:encoded><![CDATA[<p>well, if you are in the Microsoft world (as in, you like to use Excel and Word) and you are interested in &#8220;literate analytics&#8221;, you might care to look at<br />
<a href='http://inferenceforR.com' rel='nofollow'>http://inferenceforR.com</a></p>
<p>I looked, was underwhelmed, didn&#8217;t from their little movie see anything one could not easily do with RCOM or cut and paste - but maybe it is early days yet.</p>
<p>From their website</p>
<blockquote>
<p>Inference for R enables you to use the familiar Microsoft Excel and Word environment to assemble dynamic documents containing your data, R software objects, R commands, and text annotations (commentary). When executed, a dynamic document runs R commands and generates a results document that contains textual, numerical and graphic output of R commands in addition to formatted text annotations. Results documents are useful for documenting your R work, creating standardized analyses, explaining and illustrating concepts with R, and publishing and sharing your results.</p>
<p>Inference for R enables reproducible research and literate programming</p>
<p>snip&#8230;</p>
<p> This paradigm is based on the ideas of literate programming and literate data analysis</p>
<p>snip</p>
<p>Inference for R is an alternative to R-project’s Sweave functions<br />
R provides Sweave for embedding R code in LaTEX documents to create dynamic reports, which can be updated automatically if the data or analysis changes. However, to use Sweave functions requires a steep learning curve involving LaTex text formatting syntax and Sweave procedures. </p>
<p>snip</p>
</blockquote>
<p>fwiw
</p>
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		<title>by: Sandro Saitta</title>
		<link>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12550</link>
		<pubDate>Fri, 29 Aug 2008 07:46:46 +0000</pubDate>
		<guid>http://dsanalytics.com/dsblog/finding-your-way-around-r-reprise_144#comment-12550</guid>
					<description>Thanks for this post John, very useful links. I started using R for data mining a few months ago and it's a very powerful language.</description>
		<content:encoded><![CDATA[<p>Thanks for this post John, very useful links. I started using R for data mining a few months ago and it&#8217;s a very powerful language.
</p>
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