R for Dummies - Andrie De Vries

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Résumé :
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

Biographie:
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.

Sommaire:
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