Creating Conditional Variables in R: A Step-by-Step Guide for Data Analysis and Manipulation

Creating a Single DataFrame by Aggregating Multiple DataFrames in R Using Nested sapply Functions

Transforming Columns Based on Separate Dataframe - R Solution

Combining Filter, Across, and Starts_With: Powerful String Searches in R Data Manipulation with dplyr

Comparing Two Data Frames with Multiple Columns as Identifiers in R

Populating Multiple Columns in R Dataframe Using dplyr for Matching Values

Replacing Values in a Data Frame with Random Uniform Distribution Using R

Using Filter Function within Walk Formula for Parallel Processing in R Dplyr Library

Advanced Pivot Long: Mastering the `pivot_longer` Function for Complex Data Transformations

Splitting Data into Wide and Long Formats in R Using melt Function from data.table Package