The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
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 Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
rstudio::global 2021 pharma x sessions
R Package Validation Framework
January 19, 2021
In this talk I discuss the process developed for validating internally generated R packages at SCHARP (Statistical Center for HIV/AIDS Research and Prevention) - the R Package Validation Framework. I cover the elements of the framework and basics of applying it with some examples. By using tools native to the R package building infrastructure, validation can become an integrated part of your package development, improving the quality of both the package and validation.
Learn more about rstudio::global(2021) X-Sessions. Thank you to ProCogia for sponsoring the R in Pharma X-Session.
I am a statistical Programmer at Fred Hutch Cancer Research Center where I work on a team that evaluates potential HIV vaccine candidates. Having graduated from Washington State University with a degree in Bioengineering, I found a passion for programming in R. I now organize the Seattle UseR group, and enjoy building packages to automate my workflows.