Beginning R: An Introduction to Statistical Programming

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Beginning R: An Introduction to Statistical Programming by Larry Pace

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This is a beginning to intermediate book on the statistical language and computing environment called R. As you will learn, R is freely available and open source. Thousands of contributed packages are available from members of the R community. In this book, you learn how to get R, install it, use it as a command-line interpreted language, program in it, write custom functions, use it for the most common descriptive and inferential statistics, and write an R package. You also learn some “newer” statistical techniques including bootstrapping and simulation, as well as how to use R graphical user interfaces (GUIs) including RStudio and RCommander.

Who This Book Is For

This book is for working professionals who need to learn R to perform statistical analyses. Additionally, statistics students and professors will find this book helpful as a textbook, a supplement for a statistical computing class, or a reference for various statistical analyses. Both statisticians who want to learn R and R programmers who need a refresher on statistics will benefit from the clear examples, the hands-on nature of the book, and the conversational style in which the book is written.



  • CC BY-NC-SA 3.0 PH
  • The author's reference is not required

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