
R For Dummies
Description
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Coming 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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Persons
Joris Meys is a statistician and R programmer with the faculty of bio-engineering at the University of Ghent.
Content
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
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