Bonus Resources

Essential tools, cheat sheets, and advanced guides specifically designed for SAS programmers transitioning to R in clinical research and regulatory environments.

Reference Materials

📅

Date & Text Processing

lubridate and stringr patterns for clinical data cleaning

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🔧

Advanced Data Manipulation

Complex data manipulation techniques for clinical datasets

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🔄

R vs SAS Cheatsheet

Essential syntax comparisons for SAS programmers transitioning to R

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⚙️

SAS Macro → R Functions

Converting SAS macros to reusable R functions with examples

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📋

SDTM Programming Guide

CDISC SDTM domain creation with R and sdtm.oak package

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✅

QC & Validation Toolkit

Double programming, data validation, and quality control procedures

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Useful Links

R for Data Science

The complete online book by Hadley Wickham & Garrett Grolemund

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R Documentation

Official R documentation and help

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RStudio Cheatsheets

Quick reference for RStudio features

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CDISC Standards

Clinical data standards documentation

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Ready to Apply Your Skills?

Now that you have all the resources, start building your clinical programming projects with confidence using R and AI assistance!

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