Categories / dplyr
Merging Rows in a Tibble Based on Identical Content of a Column: A Comparative Analysis of `reframe` and `group_by`/`summarise` Approaches.
Replacing Missing Values in Numeric Columns Using dplyr’s mutate_if Function
Using pmap() for Efficient Linear Regression Predictions in R Datasets
Rapidly Format Data in Tables with Custom Conditions Using Formattable Package in R Programming Language
Renaming Nested Column Names in R Using map2 and rename_with
Improving Saccade Data Analysis with R: A Comparative Approach Using data.table and dplyr
Indexing a DataFrame with Two Vectors to Add Metadata Using Classical and Functional Programming Approaches in R
Using Tidy Evaluation Inside mutate Without Explicit Reference to Original Dataframe
Mastering Nested Syntactic Expressions (NSE) with dplyr: Workarounds for Complex Operations.
Using is.na() with dplyr: Handling Column Names as Strings