Using Piecewise Regression for Multiple Variables and Groups: A Step-by-Step Guide in R with the Segmented Package

Calculating and Plotting 95% Confidence Intervals for Predicted Values in Linear Regression Models Using R

Creating a New Column Based on Mode: A Flexible Approach in R

Merging Data Frames Using Purrr Reduce: A Flexible Approach vs Dplyr for Merging

Replacing Missing Values in Multiple Columns with NA Using dplyr Package in R

Subtracting Values by Group Using dplyr: A Step-by-Step Guide to Normalization

Understanding R List Objects and Data Mutation: Best Practices and Techniques for Efficient Data Manipulation

Filtering Groups in R: A Deeper Dive into the `any` and `all` Functions for Data Analysis

Manipulating Data Frames to Consolidate Relevant Values in R Using Tidyverse

Using dplyr's do Function to Create Multiple Plots with Conditional Scaling in R