R Workshop, Syracuse University Department of Psychology, Spring 2020

This workshop is designed as an introduction to the R statistical computing environment for practical data analysis, especially in psychology. I have been running workshops like this off and on since 2012. The recordings here stem from an eight-session workshop series I held in Spring 2020 with an audience composed mostly of Syracuse University graduate students. I have split the hour-long sessions into multiple videos each.

The videos linked on this page are designed to be viewed in order, so each video's page has a link to the next. They are also available in a Youtube playlist. I have provided some keywords in the titles in case you want to skip to a particular part.

When I administer workshops in person, I recommend bringing a laptop with R (r-project.org) installed to follow along. RStudio (rstudio.com) is optional but a lot of people like it, and I think it holds a special appeal for SPSS, SAS, and Stata users because of its graphical layout.

Sessions 1 through 4 are the basic introduction portion of the workshop, corresponding to the Introduction to R Workshop Summary resource on my stats page. There, you can find links to a PDF summary [pdf] and the example data and code files to walk through [zip].

In Sessions 5 through 7, I process and analyze a real dataset from one of my studies. You can download the data and code files here [zip].

Session 8 is a demonstration of a variety of plots, corresponding to the Introduction to R Workshop Plotting Demo resource on my stats page. There, you can find links to a PDF showcasing the demo plots [pdf] and the code file [text].

List of Videos

R Workshop - Session 1 of 8, Video 1 of 3 (intro, variable assignment, arithmetic)

R Workshop - Session 1 of 8, Video 2 of 3 (functions, vectors)

R Workshop - Session 1 of 8, Video 3 of 3 (vectors, etc.)

R Workshop - Session 2 of 8, Video 1 of 3 (t-tests, formulas, data frames)

R Workshop - Session 2 of 8, Video 2 of 3 (attach, reading data files, regression)

R Workshop - Session 2 of 8, Video 3 of 3 (plots, factors, interactions)

R Workshop - Session 3 of 8, Video 1 of 5 (data and subset arguments, etc.)

R Workshop - Session 3 of 8, Video 2 of 5 (ANOVA)

R Workshop - Session 3 of 8, Video 3 of 5 (missing values, etc.)

R Workshop - Session 3 of 8, Video 4 of 5 (true, false, and, or, etc.)

R Workshop - Session 3 of 8, Video 5 of 5 (for loops)

R Workshop - Session 4 of 8, Video 1 of 5 (if statements)

R Workshop - Session 4 of 8, Video 2 of 5 (composite scores)

R Workshop - Session 4 of 8, Video 3 of 5 (packages)

R Workshop - Session 4 of 8, Video 4 of 5 (data types)

R Workshop - Session 4 of 8, Video 5 of 5 (user-defined functions)

R Workshop - Session 5 of 8, Video 1 of 4 (real data example: background, data source)

R Workshop - Session 5 of 8, Video 2 of 4 (real data example: initial steps, condition)

R Workshop - Session 5 of 8, Video 3 of 4 (real data example: initial steps, misc.)

R Workshop - Session 5 of 8, Video 4 of 4 (real data example: composite scores)

Sessions 6 through 8 are not yet online. I will post them as soon as I can.