Clinical R Programming Master Classes : Subsetting R objects vectorzed operations - 9 | SAS

Hey there! 👋 Are you ready to dive into the fascinating world of Clinical R Programming? Whether you’re an R beginner or a seasoned SAS programmer transitioning into R, this session is for you! In this tutorial, we explore the powerful tools of R Programming in Clinical Trial Analysis, focusing on subsetting R objects like vectors, lists, and data frames. We'll break down how to use single brackets, double brackets, and the dollar operator, making it super simple to extract and manipulate data.
📝 To Enroll in Clinical R Programming Full Course: greatonlinetra...
But that's not all! We’ll also tackle R Programming in Clinical Data Analysis, demonstrating how to handle missing values (NA), calculate changes from baseline, and perform vectorized operations like addition and multiplication. These concepts are essential for working with clinical trial datasets effectively.
Plus, if you're familiar with SAS, you’ll love how we bridge the gap between R for SAS Programmers, helping you understand how R can complement your SAS skills. By the end of this video, you’ll feel confident in using R for real-world clinical data tasks.
Keywords:
Clinical R Programming
R Programming in Clinical Trial Analysis
R Programming in Clinical Data Analysis
R for SAS Programmers
Subsetting in R
Clinical Data Manipulation in R
Handling Missing Data in R
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