R Programming Style Tidy Programming Style
RStudio Cheat Sheets R Reference Card
Required Steps: 1. Install R 4.0.4 for Windows, 2. Install RStudio, 3. Install RStudio Learnr Package
R Programming Style Types
Data Access and Data Management
Data Reporting, Analysis and Plotting
Advanced R Solutions Custom Functions
R4Stats - SAS and R code GitHub-Sheets R Project for Statistical Computing
Guru99 Blog EDUCBA Blog SAS Programming for R Users Book SAS and R Examples Read/Write SAS Datasets
Example 2: Summary Stats Table
Three Options: SQLDF(), DPLY, DDPLYR()
Listen Data R Blog Guru Blog Wikipedia R-blogger R-Tutor Joyti's R-blog
DataCamp CodeAcademy DataMentor R-Journal Data Table Study Trials Blog
YouTube Videos R Studio (Webinars) GitHub-Submission R-Bootcamp Kickstarting R
Geeks for Geeks - Task based examples
Clinical Reporting with R R/Pharma GitHub Pharma Packages GitHub R4CDISC/R4DSXML
Using R in the Pharmaceutical Industry Blog
Using the Statistical Programming Language R in the Pharma Industry Blog
R Programming in clinical trial data analysis Blog by Shrishaila Patil
The Rise of R-should SAS programmers get up to speed? Blog
FDA: R OK for drug trials Blog
R for Biostatisicians [Presentation]Tools for Clinical Data Management Package
atable: Create Tables for Reporting Clinical Trials Package [Documentation Article]
Introduction PDF Reports Cheetsheet
R Packages R for Data Science Efficient R R in Action Data Cleaning with R
DataQuest SAS and R R and Relational Databases A Little Book of R For Time Series [HTML]
Hands-On Programming with R [Debugging] Cookbook
Beginner Level
UC of Riverside University of Georgia
Glossary: An Introduction to R
Tidyverse Manifesto Design Guide Introduction to Tidyverse Book
Getting Started with Tidyverse
Tidy Definitions and Functions
Microsoft Data.Table RStudio RShinyTLF OpenFDA RShiny
Debugging
1. Debug – Essential Principles and Functions that you can’t miss! [Data-Flair]
2. Debugging in R – How to Easily Overcome Errors in Your Code?
1.Exploring Use of R for Clinical Trials, Kalpesh Prajapati
3. Clinical Trial Datasets (CDISC - SDTM/ADaM) Using R, Prasanna Murugesan [Compare Code]
4. A Gentle Introduction to R From A SAS Programmer's Perspective, Saranya Duraisamy
5. Python and R made easy for the SAS® Programmer, Janet Li [Compare Code]
6. R for SAS programmers: It’s different, but friendly, Friedrich Schuster
7. SAS® and R - stop choosing, start combining and get benefits!, Diana Bulaienko
8. SAS and R Playing Nice Together, David Edwards, Bella Feng, Brian Schultheiss
9. Can clinical trial data sets (CDSIC - SDTM/ADaM) be generated using R? Blog
10. R: Regulatory Compliance and Validation Issues
11. CRAN Task View: Clinical Trial Design, Monitoring, and Analysis (packages)
12. SAS® and R Working Together, Matthew Cohen
13. Best Practices for Reproducible Package Management in R
14. Techniques for writing robust R programs, Martin Gregory , Merck Serono
15. R for SAS programmers: It’s different, but friendly, Friedrich Schuster
16. How do I select an R package for my clinical workflow?, Sean Lopp & Phil Bowsher
17. The Challenges of Validating R [Presentation]
18. Using R to Drive Agility in Clinical Reporting [Presentation]
20. End to End Interactive TLF using R Shiny, Rohit Banga
21. Is there any better option than SAS for TLFs? Yes, there R!, Niccolo Bassani [Presentation - ddply()]
22. A quick introduction to plyr, Sean Anderson
23. Using R Programming for Clinical Trial Data Analysis Blog
24. The SAS® Versus R Debate in Industry and Academia, Chelsea Loomis Lofland, Rebecca Ottesen
25. Using R in a Regulatory Environment: some FDA perspectives [Presentation]
26. Using R: Perspectives of a FDA Statistial Reviewer [Presentation]
27. R-Pharma Papers