Clinical R Programming Master Classes : Mixing Objects - 6| For SAS Programmers

Hi there! Are you curious about how to effectively use R Programming in Clinical Trial Analysis? If you’ve been working with SAS and are looking to expand your skills into Clinical R Programming, you’re in the right place!
📝 To Enroll in Clinical R Programming Full Course: greatonlinetra...
🔴In this session, we’ll guide you step-by-step through:
Mixing Objects in R: Learn how R handles different data types when combined and how coercion works-whether implicit or explicit.
R for SAS Programmers: Transition smoothly with insights tailored to help you understand R’s data structures, like matrices and data frames.
R Programming in Clinical Data Analysis: Discover how to process clinical trial data efficiently using lists, factors, and missing value handling techniques.
🔴We’ll also show you practical ways to:
Convert data types using functions like as.numeric and as.character.
Work with matrices and data frames for better data organization and manipulation.
Create and manage factors to categorize data efficiently.
Identify and handle missing values in clinical datasets.
Whether you're a seasoned SAS programmer or just starting out in R Programming for Clinical Trial Analysis, this session will make your learning experience engaging and practical. You’ll gain hands-on skills with real-world examples, making it easier to handle clinical data analysis tasks.
So, what are you waiting for? Dive in now and elevate your expertise in Clinical R Programming!
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