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Meys, Joris

R For Dummies

Meys, Joris - R For Dummies, ebook

30,05€

Ebook, ePUB with Adobe DRM
ISBN: 9781119055839
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Printing130 pages with an additional page accrued every 6 hours, capped at 130 pages
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Mastering R has never been easier

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more.

R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide.

  • Covers downloading, installing, and configuring R
  • Includes tips for getting data in and out of R
  • Offers advice on fitting regression models and ANOVA
  • Provides helpful hints for working with graphics

R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

Keywords: R For Dummies; R For Dummies 2nd Edition Joris Meys; Andre de Vries; introduction to R; R data structures; programming language; statisticians and data analysts; statisticians; data analysts; downloading, installing, and configuring R; configuring R; downloading R; installing R; fitting regression models and ANOVA; manipulate data; merge data sets; split and combine data; perform calculations on vectors and arrays; getting data in and out of R<

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2015
Language
en
Edition
2
Page amount
432 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781119055839
Printed ISBN
9781119055808

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