Categories / tidyverse
How to Replace Missing Values with the Opposite of the First Non-Missing Value in Each Group Using zoo Package in R
Processing Entire Rows in Dplyr's rowwise() Function: A Scalable Solution for Missing Values
Extracting Last Three Digits from a Unique Code in Each Row with Tidyverse Only
Using Summarize Within Mutate Instead of Left Join in R
Using tidverse's `across` Function to Mutate Columns with Pasted External Vectors.
Transforming Numbers to Month Names in R: A Comprehensive Approach
Adding a Third Column to a List of Data Frames in R Tidyverse
Extracting Minimal Time from Datetime Values in R
Deleting Rows Based on Threshold Values Across All Columns
Extracting Elements from Nested Lists in R: A More Elegant Approach Using `unlist()`, `rowwise()`, and `mutate()`