Social Sciences Computing offers technology support services for the faculty, staff and graduate students in Departments of Anthropology, Economics, Education, Political Science, Sociology, and the Weidenbaum Center on the Economy, Government and Public Policy.
Find your Department Support Rep
Social Science Computing serves as the Designated Recipient of ICPSR for the Washington University campus. If you need assistance in downloading ICPSR data, contact Jonathan Rapkin.
Computation Resources – Local Clusters
Social Science Computing maintains clusters for the use of students, faculty, and staff in the Departments of Political Science and Sociology. Members of these departments should contact Jonathan Rapkin for more information.
Printing for Grad Students
Graduate students in Economics are offered a special printing service. If using an A&S Windows Computer in Seigle L014, or a student-worker computer housed in Economics, printing to the SSC Grad Reserved Lab, the First Year Suite, or the Econ Mail room printers will be possible with students will be charged 0 cents per page. This quantity is monitored by Economics and may incur fees if students print more than the Econ Department allots.
Students use their WUSTL Key credentials to log into the lab/student-worker machines in order to take advantage - the printers should add themselves automatically.
Mac printing and printing from personal devices is not supported for this service.
Washington University has a university-wide site license for Qualtrics. This tool makes it easier for members of the campus community to build, share, distribute, and collect results from online surveys. It is funded and managed through the Provost Office.
Numerous departments at Washington University use Tableau for data visualizations. If you would like to have Tableau installed, contact your Department Support Representative. For resources dedicated to Tableau, see the homepage for WU-TUG, the University-wide user group.
Washington University has a site license for ArcGis. If you need to have ArcGIS installed on your University owned PC, Please contact your Department Support Representative.
LaTeX Style Files
Various publishers' LaTeX Style files
Where to obtain R
R is available for free. Download links can be found below.
- Download R for Mac OS X
- Download the TCL/TK Utility to run Rcmdr
- Download R for Windows XP, Vista, and 7
Resources about R
Arts and Sciences Computing supports the use and development of the R statistical software package. Accordingly, we provide the following links to resources about R. The principal designer of S was John Chambers who works at Bell Labs and is a consulting professor of statistics at Stanford University.
Founders/What is R?
R is an implementation of the S programming language created by Ross Ihaka and Robert Gentleman. It is often said that S is the language, R is the dialect.
- R - Publications
- R - Books
- Official R manuals
- The Comprehensive R Archive Network
- Technical Notes on the R programming language
- Revolutions News about R
- R Bloggers A site that aggregates more than 100 blogs about R
- Rvideos at Texas A & M has about 20 videos
- ramstatdavid has roughly 25 videos
- Jeromy Anglim has links to dozens of videos (beginner through advanced) on his blog.
- Statistical Computing with R: A tutorial
- An R Introduction to Statistics |
- R TutorialR Tutorial (Using "R"
- Using R for statistical analyses - Introduction
- Quick-R: Home Page
- An Introduction to R
Status of the R project
- CRAN Mirror Status
- R Package Check Summary
- Cranberries An RSS feed about new packages
- R for MacOS Developers Page
Building R packages
- Cran's official manual for Writing R Packages
- Making R packages on a Mac
- Friedrich Leisch's paper on cran
- Graves and Dorai-Raj's presentation on cran
Scientific Applications for R
- Bayesian Analysis
- Cluster Analysis
- Probability Distributions
- Experimental Data
- High Performance Computing
- Multivariate Statistics
- Natural Language Processing
- Robust Statistical Methods
- Spatial Analysis
- Survival Analysis
- Time Series Analysis