Finding your way around R - reprise

August 27, 2008 at 8:52 am · Filed under musings

I have previously written on this topic - how to find your way around the vast, sprawling (and free) statistical language and analysis system that is R, but some new resources have come to light.

Specialized R Search Engines

Reference Cards

also
the R wiki and the R Graph Gallery (includes source code), the R Language short companion , and as usual more links from Wikipedia
including links to some front-ends (in case you don’t want to program directly in R) of which StatisticalLab looks interesting

3 Comments »

  1. Sandro Saitta said,

    August 28, 2008 @ 6:46 pm

    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.

  2. John Aitchison said,

    August 29, 2008 @ 2:33 pm

    well, if you are in the Microsoft world (as in, you like to use Excel and Word) and you are interested in “literate analytics”, 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

    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

    fwiw

  3. Shane said,

    August 30, 2008 @ 3:32 pm

    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

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