R for Clinical Programming: dplyr Part 1 | Data Manipulation Basics
Welcome to the first video in my dplyr series for clinical programming in R!
This video is part of my Tidyverse Series for Clinical Programming in R.
In this video (Part 1), we cover:
Introduction to dplyr
Key functions: select(), filter(), arrange(), mutate(), summarise()
Simple clinical examples using the ADSL dataset
Hands-on examples of data manipulation with dplyr
📌 Example datasets used:
ADSL.csv (Subject-level dataset)
ADAE.csv (Adverse Events)
This series is perfect for clinical programmers who want to transition from SAS to R.
Stay tuned for Part 2, where we will cover more advanced dplyr functions and real-world clinical data scenarios.
🔗 My YouTube channel for clinical programming insights: / @clinical-r-insights
#R #dplyr #ClinicalProgramming #ClinicalData #DataManipulation #ADSL #ADAES #Tidyverse