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Data Analysis

This guide includes useful resources for Social Science data analysis. It covers how to use different software for conducting quantitative and qualitative analyses.

What is R?

R is a language and environment for statistical computing and graphics.

R is available as Free Software. You can download R using this link

http://cran.r-project.org

RStudio is a separate piece of software that works with R to make it much more user friendly and also adds some helpful features.

You can download R Studio here:

http://www.rstudio.com/

Books

Online Resources

The UCLA Academic Technology Services R resources page contains tutorials and useful resources to learn R

Germán Rodriguez from Princeton University, provides useful notes how to get started with R and how to fit linear and generalized linear models

R-bloggers. You will find posts, news and tutorials on R. 

Go to http://patilv.github.io/ if you want to create graphs and charts using R. It has some sample codes to create cool visualization projects

R: A self-learn tutorial. Introduction from National Center for Ecological Analysis and Synthesis at UC Santa Barbara

Statistics with R Computing and Graphics. You will find a 15-page introduction to R . By Kjell Konis, then at the University of Oxford

Little Book of R for Time Series. This is an useful resource to use R for analyzing data collected over time. By Avril Coghlan at the Wellcome Trust Sanger Instituie, Cambridge, U.K.

Introduction to ggplot2. 11-page introduction to ggplot2, by N. Matloff at UC Davis.

Subject Guide

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Margarita Corral
Contact:
mcorral@brandeis.edu
781-736-4654