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R for Dummies (For Dummies)by Joris Meys
Synopses & Reviews
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.
Open the book and find:
Still trying to wrap your head around R?
With more than two million users, R is the open-source programming language standard for data analysis and statistical modeling. R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.
Whether you're just starting out with statistical analysis or are a procedural programming pro, R For Dummies is the book you need to get the most out of R.
Learn to become an R master!
With R becoming one of the leading software packages, there is an increased need from new users, as well as experienced scientists and engineers to understand how to utilize the extensive capabilities of R software in any setting. This easy-to-follow guide explains how you can use R for data analysis and data management. This book delves into many important aspects of field application to keep you up to speed with the other companies and organizations that use R as a powerful programming language for data analysis.
An ideal introductory program, R For Dummies teaches you how to conduct powerful statistical data analysis and master R usage for future endeavors, regardless of your level of experience.
About the Author
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.
Table of Contents
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
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