LibGuides: HSL Digital Union Software: R

What This Software Does

R is a freely available software for statistical computing and graphics. Its capabilities include many different types of analysis such as basic and complex statistics, classification, clustering, text mining, and more.

About R
Learn more about this program on their website.
R FAQ
Updated regularly and maintained by the R Core Team, named in the extensive FAQ resource provided by the software.

How Can I Use This Software?

Statistical analysis of various kinds, data mining, machine learning, graphic visualizations.

Tutorials

DataCamp
DataCamp provides free Introduction to R tutorial covering many basics including vectors, matrices, factors, data frames, and lists. Text based exercises have the R console built into the interface to allow real-time feedback on the operation you are learning.
SwirlStats
Swirl teaches R using R itself. Requires installation of the “swirl” package in R and using the R Studio interface is highly recommended (a separate installation). Courses must also be installed.

Recommended E-Books

A Course in Statistics with R by Prabhanjan N. Tattar; Suresh Ramaiah; B. G. Manjunath
Publication Date: 2016-05-02
The book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation.
Using R for Statistics by Sarah Stowell; Sarah Baldock
Publication Date: 2014-06-24
Using R for Statistics will get you the answers to most of the problems you are likely to encounter when using a variety of statistics. This book is a problem-solution primer for using R to set up your data, pose your problems and get answers using a wide array of statistical tests. The book walks you through R basics and how to use R to accomplish a wide variety statistical operations.
The Essential R Reference by Mark Gardener
Publication Date: 2012-11-16
An essential library of basic commands you can copy and paste into R. The powerful and open-source statistical programming language R is rapidly growing in popularity, but it requires that you type in commands at the keyboard rather than use a mouse, so you have to learn the language of R. This practical reference is a library of basic R commands that you can copy and paste into R to perform many types of statistical analyses.

OSU Library Catalog
Search the full catalog to find additional books.

Open Access Textbook

OpenIntro Statistics
OpenIntro Statistics was written to allow flexibility in choosing and ordering course topics. The material is divided into two pieces: main text and special topics. The main text has been structured to bring statistical inference and modeling closer to the front of a course. Special topics, labeled in the table of contents and in section titles, may be added to a course as they arise naturally in the curriculum.

Downloads

R for Windows Users
This link provides information to download R for a Windows computer from their website.
R for Mac (OS X)
This link provides information to download R for a Mac computer from their website.
R for Linux Users
This link provides information to download R for a Linux system from their website.

Costs

Free

Technical Requirements

Memory requirements are in general low for basic analysis but can vary depending on the type of analysis being conducted. Data sets larger than 1 GB may require more RAM. R actually limits the amount of memory it uses.