How to Dynamically Create Multiple Columns from Sets of Columns using dplyr and Rlang in R

The Tidyverse Ecosystem: Understanding the Differences Between plyr, dplyr, and More

Renaming Columns in R Using str_replace_all for More Than Two String Types

Creating New Columns with Conditional Values Based on Grouped Column Data in R

Understanding pmin and Pattern Matching in R: Unlocking Data Insights with Efficient Code

Using dplyr's Mutate Function for Multiple Conditions in R Data Transformation

Finding Members in Only One of the Two Groups and in Both the Groups

Creating Dynamic Column Names Within Dplyr Functions: A Comparative Approach

Using dplyr to Drop Groups Based on NA Frequency Threshold

Indexing a DataFrame with Two Vectors to Add Metadata Using Classical and Functional Programming Approaches in R