Department of Mathematics

College of the Redwoods

• Department Home Page
• Blackboard
• WebAdvisor
• Optimath

Using R in Statistics

Students in statistics soon discover that performing calculations on large sets of data can be tedious and time consuming. We quickly become aware of the need for some sort of statistical software in our studies. GNU R, a free version of the statistical program S, can serve such a purpose, freeing us from the painstaking calculations and allowing us time to spend on the interpretation of the data.

The following link provides access to the home page for the R program.

http://www.R-project.org/

In these pages we will explore the use of R in a typical statistics class. Stay tuned as the number of offerings on this page grow with time.

Installation

• Windows Users: Download R for Windows from the following URL:

  http://cran.cnr.Berkeley.edu/bin/windows/base/R-2.7.0-win32.exe

  Installation is straight forward. Double-click the download to begin the installation process and follow the on-screen instructions.
• Macinstosh Users: Download R for Mac OS X from the following URL:

  http://cran.cnr.Berkeley.edu/bin/macosx/R-2.7.0.dmg

  Installation is straight forward. After the download mounts, simply double-click the package and follow the onscreen instructions.

Table of Contents

• Simple Plot
• Pie Charts
• Bar Charts
• Histograms
• Boxplots
• Sampling Discrete Distributions
• Linear Regression in R
• Data Frames in R
• Importing Data in R
• Dataframes in R
• The 1970 Draft Lottery
• The Standard Normal Distribution
• The Normal Distribution
• Discrete Distributions in R
• Continuous Distributions in R
• The Central Limit Theorem (Part 1)
• The Central Limit Theorem (Part 2)
• Transforming Data
• The Central Limit Theorem (Part 3)

External Links

• R Homepage
• R Download Page
• Using R in Statistics

Last Revision: 6/29/08 | Email Webmaster | © Design by Andreas Viklund