Categories / dplyr
Repeating Observations by Group in data.table: An Efficient Approach
Renaming Variables in Datasets: 2 Efficient Approaches Using R
Splitting and Transforming Wide-Form Data into Long-Form with R's Tidyverse
Subsetting Data in R to Remove Rows with Missing Values for Two Variables
Handling Duplicate Values in R DataFrames: A Step-by-Step Guide
Removing Zero-Inflation from Data Using dplyr: A Step-by-Step Guide to Grouping, Subsetting, and Summarizing
Using group_by() to Calculate Means in a Single dplyr Pipe: Best Practices and Tips
Replacing Column Values in DataFrame if They Are Found in a Vector Using Vectorized Operations with R Code Examples.
Calculating Moving Averages for Multiple IDs by Date in R: 3 Alternative Approaches
Understanding the Logic Behind Removing NA Values When Filtering Character Vectors in R's data.table Package