9781119962847-1119962846-R For Dummies

R For Dummies

ISBN-13: 9781119962847
ISBN-10: 1119962846
Edition: 1
Author: Andrie de Vries, Joris Meys
Publication date: 2012
Publisher: For Dummies
Format: Paperback 406 pages
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Book details

ISBN-13: 9781119962847
ISBN-10: 1119962846
Edition: 1
Author: Andrie de Vries, Joris Meys
Publication date: 2012
Publisher: For Dummies
Format: Paperback 406 pages

Summary

R For Dummies (ISBN-13: 9781119962847 and ISBN-10: 1119962846), written by authors Andrie de Vries, Joris Meys, was published by For Dummies in 2012. With an overall rating of 4.0 stars, it's a notable title among other Mathematical & Statistical (Software) books. You can easily purchase or rent R For Dummies (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.57.

Description

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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