R For Dummies
R For Dummies by de Vries, Andrie
English | June 25, 2012 | ISBN: 1119962846 | 406 pages | EPUB | 1.55 Mb
English | June 25, 2012 | ISBN: 1119962846 | 406 pages | EPUB | 1.55 Mb
Master the programming language of choice among statisticians and data analysts worldwide
Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful.
- Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables
- Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel
- Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more
- Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data
- Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests
- Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes
- Open the book and find:
- Help downloading, installing, and configuring R
- Tips for getting data in and out of R
- Ways to use data frames and lists to organize data
- How to manipulate and process data
- Advice on fitting regression models and ANOVA
- Helpful hints for working with graphics
- How to code in R
- What R mailing lists and forums can do for you
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