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/.