All materials are available in our GitHub repository and on Google Drive.

Links to each workshop below.

Intro to Shiny for interactive graphics and data visualization (2020-02-11)

  • Led by Emma Smith

RMarkdown and Bookdown for Academic Writing in R (2020-01-14)

Data cleaning and exploration in R (2019-12-03)

  • Led by Jaky Kueper

Data Visualization: Basics to 3D (2019-11-12)

  • Led by Olivia Daub

Intro to R and RStudio (2019-10-01)

  • Led by Cortney Hanna-Benson

Data cleaning and exploration in R (2019-05-30)

  • Led by Jaky Kueper

Dissertating with R Markdown and bookdown (2019-04-25)

  • Led by Thea Knowles
  • Additional materials on GitHub or Drive

Heatmaps and Pointmaps using ggmap (2019-03-28)

  • Led by Rebecca Henderson

Transitioning from SPSS to R (2018-11-29)

Figuring out figures in R with ggplot (2018-10-25)

Intro to R and RStudio (2018-09-25)

  • Led by Cortney Hanna-Benson

Making science open with R (2018-06-26)

  • Led by Monica Granados

R in Industry (2018-05-29)

  • Led by Vicki Cocco

R-Shiny for performing interactive data analyses and visualizations (2018-04-03)

  • Led by Rhiannon Rose

Using RMarkdown to generate summary reports and journal articles (2018-03-06)

  • Led by Thea Knowles

Lightning Talks (2018-01-30)

  • 3-5 minute blitzes from a number of our members!

Linear, logistic, and Cox regression: When and how to run in R and RStudio (2017-12-05)

  • Led by Jaky Kueper

Intro to writing scripts in R and RStudio (2017-11-07)

  • Led by Rachael Smyth

R and RStudio basics (2017-10-03)

  • Led by Pierina Cheung

SPSS to R (2017-07-07)

  • Led by Daryn Cushnie-Sparrow

Data manipulation and multivariate analyses (2017-06-19)

  • Led by Monica Granados

2D and 3D graphics in R (2017-06-01)

  • Led by Olivia Daub

Intro to GitHub (2017-05-01)

Intro to R (2017-05-01)

  • Intro to R led by Rachael Smyth

Data visualization and graphics (2017-04-03)

  • Led by Sinthiya Thavam

Introduction to RMarkdown (2017-03-04)

  • Led by Cortney Hannah