Using R for Statistics

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Using R for Statistics by Sarah Stowell

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Welcome to Using R for Statistics. This book was written for anyone who wants to use R to analyze data and create statistical plots. It is suitable for those with little or no experience with R, and aims to get you up and running quickly without having to learn all the details of programming.

About R

R is a statistical analysis and graphics environment and also a programming language. It is command-driven and very similar to the commercially produced S-Plus® software. R is known for its professional-looking graphics, which allow complete customization.

R is open-source software and free to install under the GNU general public license. It is written and maintained by a group of volunteers known as the R core team.

The base software is supplemented by over 5,000 add-on packages developed by R users all over the world, many of whom belong to the academic community. These packages cover a broad range of statistical techniques including some of the most recently developed and niche purpose. Anyone can contribute add-on packages, which are checked for quality before they are added to the collection.

At the time of writing, the current version of R is 3.1.0.

What You Will Learn

This book is designed to give straightforward, practical guidance for performing popular statistical methods in R. The programming aspect of R is explored only briefly.

After reading this book you will be able to:

- navigate the R system

- enter and import data

- manipulate datasets

- calculate summary statistics

- create statistical plots and customize their appearance

- perform hypothesis tests such as the t-test and analysis of variance

- build regression models

- access additional functionality with the use of add-on packages

- create your own functions



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

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