Pre-Owned R For Dummies (Paperback) by Joris Meys, Andrie de Vries
Pre-Owned R For Dummies (Paperback) by Joris Meys, Andrie de Vries
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Pre-Owned R For Dummies (Paperback) by Joris Meys, Andrie de Vries

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  • ISBN: 9781119962847
  • Condition: New
  • Paperback
  • Pages: 406
  • 406 p. Illustrations. Intended for professional and scholarly audience.
  • Master the programming language of choice among statisticiansand data analysts worldwideComing to grips with R can be tough, even for seasonedstatisticians and data analysts. Enter R For Dummies, the quick,easy way to master all the R you'll ever need. Requiring no priorprogramming experience and packed with practical examples, easy,step-by-step exercises, and sample code, this extremely accessibleguide is the ideal introduction to R for complete beginners. Italso covers many concepts that intermediate-level programmers willfind extremely useful. * Master your R ABCs ? get up to speed in no time with thebasics, from installing and configuring R to writing simple scriptsand performing simultaneous calculations on many variables * Put data in its place ? get to know your way around lists, dataframes, and other R data structures while learning to interact withother programs, such as Microsoft Excel * Make data dance to your tune ? learn how to reshape andmanipulate data, merge data sets, split and combine data, performcalculations on vectors and arrays, and much more * Visualize it ? learn to use R's powerful data visualizationfeatures to create beautiful and informative graphicalpresentations of your data * Get statistical ? find out how to do simple statisticalanalysis, summarize your variables, and conduct classic statisticaltests, 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 globalR 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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