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April 28, 2020

Time: Tues Apr 28, 2020 2-4pm

This introductory workshop is geared towards those who would like to get started with R or need to brush up on their skills. You will learn how to use R, RStudio, how to create objects in R, how to work with different data types, how to read tabular data into R and how to subset tables.

Prerequisites: None.
Please come with R and RStudio installed:

June 18, 2020

Starting April 8 the weekly R Lab will be online. This is a collaborative space to get started with R, to troubleshoot and connect.
Time: Wednesdays 2-4pm from April 8 to May 27
New Zoom link:

March 27, 2019

Dates and Location: June 24 – 25, 2019 in Ann Arbor, Michigan
Instructors: James Graham (Colorado State University) and Shane Redman (ICPSR)

Application deadline: May 20, 2019

January 10, 2019

UPDATED December 2018: New and Updated Modules Added

NCES provides a wealth of data online for users to access. However, the breadth and depth of the data can be overwhelming to first time users, and, sometimes, even for more experienced users. In order to help our users learn how to access, navigate, and use NCES datasets, we’ve developed a series of online training modules.

January 8, 2019

One of the languages we support at SSDS is R. A common complaint with R is that it is slow. R isn't the fastest, but it can usually be fast enough with good R code.

Check out our new blog post, Making R code over 100 times faster: An example, by SSDS software consultant Ben Stenhaug.

January 8, 2019

Date and Time: Monday, January 28, 2019 at 2 p.m. EST

October 22, 2018

Have specific questions about using Farmshare, Stanford's shared computing environment, or Sherlock, its high-performance computing cluster? Drop by to chat with a representative from Stanford Research Computing who can answer all your questions!

September 28, 2018

ICPSR has put together a pretty compelling series of webinars and conversations around data activism, data in the community, data transparency and more.

Take a look at the schedule and register:

September 27, 2018

On October 1st, 2018 we're resuming our regularly scheduled walk-in consulting. If you have questions about implementing your quantitative or qualitative analysis, wrangling your data, or are just wondering what sorts of tools are available, drop on by. We'd love to help you!

If you're wondering whether there will be a consultant available on any given day to help with the technology or package you use, whether R, NVivo, Stata, Python, or otherwise, check out our coverage schedule here.

July 16, 2018

Have questions about implementing statistical analysis in Stata, R, or another language? Figuring out to how analyze and visualize your data? We can help this summer. Every Thursday from 2 to 5pm until August 23, we'll be holding walk-in consulting hours in the Velma Denning Room (120F) of Green Library. Come by and see us!



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