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Submission + - Beginner's guide to R: Introduction (

Lucas123 writes: Why R? It's free, open source, powerful and highly extensible and its hot. Whether measured by more than 4,400 add-on packages, the 18,000+ members of LinkedIn's R group or the close to 80 R Meetup groups currently in existence, there can be little doubt that interest in the R statistics language, especially for data analysis, is soaring. Because it's a programmable environment that uses command-line scripting, you can store a series of complex data-analysis steps in R. That lets you re-use your analysis work on similar data more easily than if you were using a point-and-click interface, notes Hadley Wickham, author of several popular R packages and chief scientist with RStudio.
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Beginner's guide to R: Introduction

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In every non-trivial program there is at least one bug.