R/Pharma 2022 Workshops
R/Pharma 2022 Workshops
R/Pharma is excited to host 20 free workshops! Workshops will run the 2 weeks prior to the gathering and are hosted by members of the community. Workshops are one of the highlights of R/Pharma and we are indebted to the hosts who prepare them.
If you have not registered for the R/Pharma conference we ask that you do so before selecting a workshop. You can join at https://hopin.com/events/r-pharma-2022/registration.
New for 2022! R/Pharma will be offering for free, Digital Credentials via Credly for people that attend and complete the workshops.
Below are various Educational Learning Tracks for advice in taking workshops:
Clinical Programmer
- Drill Down Summary Tables in Shiny with Tplyr
- Creating Submission-Quality Clinical Trial Reporting Tables in R With rtables
- Coding Typical Clinical Processes Using R for the Entry Level Programmer
- Clinical Reporting in R
- Introducing {gtreg}: an R package to produce regulatory tables for clinical research
Beginner
- Coding Typical Clinical Processes Using R for the Entry Level Programmer
- Introduction to Julia
- Clinical Reporting in R
- A hands on introduction to Quarto
Data Science
- Introduction to Julia
- Observable
- Advanced Stan Workshop
- A hands on introduction to Quarto
- An intro to CI/CD for R packages
- Graph Neural Networks in Drug Discovery: Opportunities and Solutions
Data Analyis
- Introduction to Julia
- How to use pointblank to understand, validate, and document your data
- Using R to derive robust insights from real-world health care data
- A hands on introduction to Quarto
Admin
- How to build Shiny testing architecture
- Admin - Environment Management
- Building Production-Quality Shiny Applications
- An intro to CI/CD for R packages
Shiny
- Shiny for Python
- Drill Down Summary Tables in Shiny with Tplyr
- How to build Shiny testing architecture
- Introduction to {shinyValidator}
- Building Production-Quality Shiny Applications
- How to use a complete JavaScript toolchain in your Shiny development
Data Viz
- Observable
- How to use a complete JavaScript toolchain in your Shiny development
Tables
- Drill Down Summary Tables in Shiny with Tplyr
- Creating Submission-Quality Clinical Trial Reporting Tables in R With rtables
- Clinical Reporting in R
- Introducing {gtreg}: an R package to produce regulatory tables for clinical research
you can find registration links for all the workshops at https://rinpharma.com/workshop/2022conference/.