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In this workshop, statistical programmers will be introduced to the R programming language and the tidyverse, using familiar clinical examples. Attendees will leave with a basic understanding of what R is, what the tidyverse is and why it’s important, and what the open-source landscape has to offer us in the world of clinical statistical programming.
Hands-on programming examples will be offered to give attendees some basic knowledge of the tools available in R to support common clinical workflows, such as SDTM, ADaM and clinical TFLs. If you’ve never worked in R before, but want to see how it can be used in your day-to-day tasks, come join us and see what this powerful open-source language has to offer!
| Today's Schedule |
|---|
| 🎬 Getting Started |
| 📓 R Basics |
| 📈 Working with Data Frames |
| 💻 Translating Keep, Drop, Where, & Rename |
| ⌨️ Breakout 1 |
| 💻 Translating Set & Merge |
| ⌨️ Breakout 2 |
| 💻 Mutate |
| ⌨️ Breakout 3 |
| 💻 Translating PROC MEAN, PROC FREQ, PROC UNIVARIATE |
| ⌨️ Breakout 4 |
| 🌐 Where to go from Here |