Tags / dplyr
Using Piecewise Regression for Multiple Variables and Groups: A Step-by-Step Guide in R with the Segmented Package
Using dplyr: Passing Arithmetic Expressions as Function Arguments
Multiplying Column Value by Another Value Depending on Value in Certain Column Using ifelse Function in R
Improving Data Manipulation with Coalescing and Naive Replacement in R
Spreading Columns by Count in R: A Comparative Analysis with dplyr, tidyr, reshape2, and data.table
Assigning Multiple Text Flags to Observations with tidyverse in R
Counting NAs Between First and Last Occurred Numbers in Each Column
Resolving Errors with dplyr: Understanding Conflicts and Renaming Functions for Efficient Data Manipulation
Conditional Mutate with Ifelse in dplyr: A Comprehensive Guide to Flexible String Manipulation
Comparing Methods for Applying Impure Functions to Data Frames in R