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R For Dummies 2Nd Edition

Andrie De Vries

  • Bindwijze: Paperback
  • Taal: en
  • Categorie: Wetenschap & Natuur
  • ISBN: 9781119055808
Inhoud
Taal:en
Bindwijze:Paperback
Oorspronkelijke releasedatum:21 juli 2015
Aantal pagina's:418
Illustraties:Nee
Betrokkenen
Hoofdauteur:Andrie De Vries
Tweede Auteur:Joris Meys
Tweede Auteur:Joris Meys
Overige kenmerken
Editie:2
Extra groot lettertype:Nee
Product breedte:191 mm
Product hoogte:25 mm
Product lengte:235 mm
Studieboek:Ja
Verpakking breedte:185 mm
Verpakking hoogte:26 mm
Verpakking lengte:234 mm
Verpakkingsgewicht:937 g
Overige kenmerken
Editie:2
Extra groot lettertype:Nee
Product breedte:191 mm
Product hoogte:25 mm
Product lengte:235 mm
Studieboek:Ja
Verpakking breedte:185 mm
Verpakking hoogte:26 mm
Verpakking lengte:234 mm
Verpakkingsgewicht:937 g

Samenvatting

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.

Learn to:

  • Use R for data analysis and processing
  • Write functions and scripts for repeatable analysis
  • Create high-quality charts and graphics
  • Perform statistical analysis and build models

All the R you need for statistical and data analysis, explained in plain English!

Do you have to use R on the job, but you don't know much about programming? Relax! Here's a quick and painless guide to using R for all sorts of statistical and data analysis. Through real-world examples and step-by-step exercises you'll learn how to reshape and manipulate data, perform calculations, create graphical representations, and more.

  • Get started with R — acquire and install R, learn what makes R unique, compare code editors, and write your first R script
  • Play well with others — see how R interacts with Excel and other programs and why statisticians and data analysts favor it
  • R ABCs — make your code clear and explore functions and arguments
  • A calculating side — take advantage of R's calculating power, working with numbers, infinity, missing values, mathematical functions, and vectors
  • Get textual — use character vectors for text data, manipulate text, and work with strings and factors
  • Data tells a tale — manipulate and process data using subsets, merge data from different sources, sort it, and summarize using statistical techniques
  • Go graphic — present your data visually using plots and lattice graphics

Open the book and find:

  • User packages that extend R
  • Tips for getting data into and out of R
  • How R handles basic arithmetic
  • What to do with regression models
  • Advice on managing the logical flow
  • Effective debugging strategies
  • How to incorporate dates and times
  • Additional graphics packages you can use