R Programming  

 

• Basics
• Advance
• Compare with SAS
• R and SQL
• Blogs, Classes and References
• Pharma Industry
• Data Science
• Books
• Popular R Packages
• R Markdown
• Papers

Basics

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

   

Tutorials Point Quick Guide

R Examples  

R Programming Style Types

      

Data Access   and Data Management  

     

Data Wrangling                                                              Data Cleaning

Data Reporting, Analysis and Plotting  

Advance

Advanced R Solutions    Custom Functions

R4Stats - SAS and R code GitHub-Sheets R Project for Statistical Computing  

             

Advanced R book

 

Compare with SAS

Guru99 Blog  EDUCBA Blog  SAS Programming for R Users Book   SAS and R Examples  Read/Write SAS Datasets

R Package for SAS Programmers

Example 1: Listing

Example 2: Summary Stats Table

Example 3: Figure

        

flextable() vs Proc Report

R and SQL

Three Options: SQLDF(), DPLY, DDPLYR()

CRAN package     SQL Server

SQLDF() rdrr.io

        

SQLDF() in R                                                   SQLDF() Tutorial

   

SQLDF() Examples

  

Introduction to DPLY  

 

Blogs, Classes and References

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

Quick-R

            

Statistics Globe

Geeks for Geeks - Task based examples

Pharma Industry

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: Regulatory Compliance and Validation Issues A Guidance Document for the Use of R in Regulated Clinical Trial Environments

R for Biostatisicians [Presentation]

Clinical Trials Package

• Design and Monitoring
• Design and Analysis
• Analysis for Specific Designs
• Analysis in General
• Meta-Analysis
• Examples         

         Tools for Clinical Data Management Package

        atable: Create Tables for Reporting Clinical Trials Package [Documentation  Article]

Data Science

ANOVA in R

Tidyverse Cheat Sheet

R Markdown

Introduction   PDF Reports   Cheetsheet

Gallery

Books 

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

Popular R Packages

FAQs   CRAN

Tidyverse  Manifesto  Design Guide   Introduction to Tidyverse   Book

Getting Started with Tidyverse

Tidy Definitions and Functions

Microsoft  Data.Table   RStudio   RShinyTLF   OpenFDA RShiny

gt Package

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?

Papers

1.Exploring Use of R for Clinical Trials, Kalpesh Prajapati

2. Is R language reliable and efficient tool for programming SAS datasets or just art for art’s sake?, Piotr Podlewsk

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]

19. CDISC Dataset-XML – A new Dataset Structure for Clinical Trial Data Transport for Future Drug Submissions, Jörg Dillert [R4CDISC, R4DSXML]

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