R Language Tutorial for Mainframe Programmers
Why R? It's free, open source, powerful and highly extensible. "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. Free Resources on R Language Part 1: Introduction Part 2: Getting your data into R Part 3: Easy ways to do basic data analysis Part 4: Painless data visualization Part 5: Syntax quirks you'll want to know Part 6: Useful resources Details of R Language 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. That also makes it easier for others to validate research results and check your work for errors -- an issue that