Working with Datasets in R: A Deep Dive into Vectorized Operations and Generic Functions for Data Manipulation, Analysis, Reusability, Efficiency, Readability, and Example Use Cases.

Applying Functions in R: Mastering Multiple Changing Arguments

Revised Solution for Mapping Values in Two Columns Using dplyr and %in%

Making Your Custom Functions Available at Startup in R: Best Practices for Reproducibility and Efficiency

Extracting Specific Values Using R's Remainder Function: A Comparative Analysis

Using the Tidyverse to Create Flexible Functions with NULL Values in R

Understanding R Nested Function Calls with Inner and Outer Functions

Creating Acronyms in R: A Solution Using Stringr Package

Using callCC to Break Out of Nested Calls in R

Building a Scalable Simulator in R: Abstraction and Refactoring Strategies for Efficient Card Dropping Simulations