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Data Resources and Support: Guides for using R

Support for locating and working with datasets, statistical information, and geographic data.

Guides for Using R

R Resources:

"Articles on Statistical Computing - R" from the Social Science Computing Cooperative, at the University of Wisconsin-Madison

"Cookbook for R," by Winston Chang

"Data Transformation with dplyr:: Cheat Sheet"

"Getting Started in Data Analysis Using Stata and R," by Oscar Torres-Reyna, Princeton University

"Quick-R - 'Accessing the Power of R'"

"R for Data Science," by Garrett Grolemund and Hadley Wickham

"R - "Quick List of Useful R Packages"

"RStudio Cheat Sheets"

"R for SAS and SPSS Users," by Robert A. Muenchen, the University of Tennessee

"R for Stata Users," by Matthieu Gomez , Princeton University

"R Markdown Cookbook," by Yihui Xie, Christopher Dervieux, and Emily Riderer

"Resources to Help You Learn and Use R," from UCLA's Academic Technology Services

"Tidyverse - R Packages for Data Science," by Hadley Wickham

"Using R and RStudio for Data Management, Statistical Analysis, and Graphics" (Second Edition) (.pdf)

"Using R to Analyse Key UK Surveys," from the UK Data Service (.pdf)

Data Services

Robert O'Reilly, Ph.D

Email Me

Contact:

roreill@emory.edu

Emory Center for Digital Scholarship (ECDS)

We help researchers with locating quantitative data and with cleaning and preparing data for analysis.

We are currently doing consults via e-mail or Zoom. Please feel free to continue to e-mail Dr. O'Reilly with your data questions.