![]() 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. Complete guide as PDF download (2013 version free registration required)īecause it's a programmable environment that uses command-line scripting, you can store a series of complex data-analysis steps in R.Part 5: Syntax quirks you'll want to know.Part 3: Easy ways to do basic data analysis. ![]() "You have a lot of prepackaged stuff that's already available, so you're standing on the shoulders of giants," Google's chief economist told The New York Times back in 2009. Why R? It's free, open source, powerful and highly extensible. ![]() Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn's R group or the more than 400 R Meetup groups currently in existence, there can be little doubt that interest in the R statistics language, especially for data analysis, is soaring.
0 Comments
Leave a Reply. |