R Programming  

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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  


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Advance

Advanced R Solutions    Custom Functions

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

             

Advanced R book

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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



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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  

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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

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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]

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    Data Science

    ANOVA in R

    Tidyverse Cheat Sheet

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    R Markdown

    Introduction   PDF Reports   Cheetsheet


    Gallery

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    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

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    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

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    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

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