Tags / dplyr
Optimizing Similarity Matching: A Step-by-Step Guide to Grouping Observations
Using apply and mutate to create a new variable in data manipulation: A Step-by-Step Guide to Efficient Data Transformation
Removing Extraneous Characters from Variable Names in R: A Two-Method Approach
Conditional Mutate with Ifelse in dplyr: A Comprehensive Guide to Flexible String Manipulation
Using group_modify to Apply Function to Grouped Dataframe: The Power of the Dot (`...`) Syntax
Understanding the Dot (.) in dplyr: A Comprehensive Guide to Using the Grammar of Data Manipulation
Applying a List to a Function that Outputs a Dataframe in R Using Tidyverse and Base R
How to Apply Weights to Survey Data for Accurate Representation Using R and the weights Package
Filling Columns Based on Conditions Using sum() for Matches in R
Creating a New Column in a Smaller DataFrame Based on Conditions Met by Another Larger DataFrame