Join us at rstudio::conf(2022) to sharpen your R skills. | July 25-28th in D.C.
Learn More
rstudio::conf(2022) | July 25-28th in D.C. 7/25 - 7/28 in D.C.
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
rstudio::global 2021 programming
Designing Randomized Studies using Shiny
January 21, 2021
This talk will walk through building a self-contained randomized study using Shiny and learnr modules. We will discuss building informed consent, the randomization process, demographic surveys, and R-based studies into a single online framework to allow users to seamlessly enroll and participate in randomized studies via a single URL. The talk will include both practical recommendations as well as technical code snippets.
Lucy D'Agostino McGowan, Neal Richardson, ZJ, and Garrick Aden Buie Q&A
Lucy D'Agostino McGowan and Neal Richardson Q&A
Lucy D’Agostino McGowan is an assistant professor of statistics at Wake Forest University, where she leads the WFU Data Science Lab. Her research focuses on causal inference, human-data interaction, and statistical communication.