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    R For Dummies

    Posted By: arundhati
    R For Dummies

    Andrie de Vries, "R For Dummies"
    English | ISBN: 1119962846 | 2012 | 406 pages | AZW3 | 2 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