Optimizing Data Manipulation with R's data.table: Vectorized Approach for Column Remainders

Understanding the Performance Difference between `transform.data.table` and `transform.data.frame` in R

Summarizing Multiple Columns with dplyr: A Categorical Version

Applying an Iterative/Non-Aggregating Function to Multiple Subsets of Data in R: A Flexible Solution Beyond Aggregation Packages

Creating a Table where Each Column Represents Whether Value Exists in a Particular Vector

Efficiently Converting Date Columns in R's data.table Package Using Regular Expressions, anytime, and lubridate Packages

Optimizing Performance-Critical Operations in R with C++ and Rcpp

Collapsing BLAST HSPs Dataframe by Query ID and Subject ID Using dplyr and data.table

How to Replicate data.table's Nomatch Behavior in dplyr: A Step-by-Step Guide

Using Vectorize to Achieve Vectorization: Best Practices for Optimizing Performance in R