R For Dummies

R For Dummies

Paperback For Dummies

By (author) Joris Meys, By (author) Andrie de Vries

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  • Publisher: John Wiley & Sons Inc
  • Format: Paperback | 406 pages
  • Dimensions: 188mm x 234mm x 23mm | 612g
  • Publication date: 20 July 2012
  • Publication City/Country: New York
  • ISBN 10: 1119962846
  • ISBN 13: 9781119962847
  • Edition: 2
  • Sales rank: 43,343

Product description

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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Author information

Andrie de Vries is a market research consultant specializing in surveys, statistical analysis, and strategy. Joris Meys is a statistician and R programmer with the faculty of bio-engineering at the University of Ghent.

Back cover copy

Master the programming language of choice among statisticians and data analysts worldwideComing 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 variablesPut 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 ExcelMake 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 moreVisualize it -- learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your dataGet 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 purposesOpen the book and find: Help downloading, installing, and configuring RTips for getting data in and out of RWays to use data frames and lists to organize dataHow to manipulate and process dataAdvice on fitting regression models and ANOVAHelpful hints for working with graphicsHow to code in RWhat R mailing lists and forums can do for youLearn to: Use R for data analysis and processingWrite functions and scripts for repeatable analysisCreate high-quality charts and graphicsPerform statistical analysis and build models

Table of contents

Introduction 1 Part I: R You Ready? 7 Chapter 1: Introducing R: The Big Picture 9 Chapter 2: Exploring R 15 Chapter 3: The Fundamentals of R 31 Part II: Getting Down to Work in R 43 Chapter 4: Getting Started with Arithmetic 45 Chapter 5: Getting Started with Reading and Writing 71 Chapter 6: Going on a Date with R 93 Chapter 7: Working in More Dimensions 103 Part III: Coding in R 137 Chapter 8: Putting the Fun in Functions 139 Chapter 9: Controlling the Logical Flow 159 Chapter 10: Debugging Your Code 179 Chapter 11: Getting Help 193 Part IV: Making the Data Talk 203 Chapter 12: Getting Data into and out of R 205 Chapter 13: Manipulating and Processing Data 219 Chapter 14: Summarizing Data 253 Chapter 15: Testing Differences and Relations 275 Part V: Working with Graphics 299 Chapter 16: Using Base Graphics 301 Chapter 17: Creating Faceted Graphics with Lattice 317 Chapter 18: Looking At ggplot2 Graphics 333 Part VI: The Part of Tens 347 Chapter 19: Ten Things You Can Do in R That You Would've Done in Microsoft Excel 349 Chapter 20: Ten Tips on Working with Packages 359 Appendix: Installing R and RStudio 365 Index 371