Splitting and Transforming Wide-Form Data into Long-Form with R's Tidyverse

Here's a summary of the provided information and some additional examples to demonstrate the usage of the `melt()` function in R:

Creating Tables or Data Frames of Members of a Group in Cluster Analysis

Understanding Missing Values in DataFrames: Best Practices for Handling Missing Data in Statistical Analysis

Extracting Emotions from Text Data: A Step-by-Step Guide Using R's Tidytext Library

Mastering bind_rows with tibble: A Step-by-Step Guide to Overcoming Common Challenges

Understanding the sf library's St Intersection Function with Map2 in R: A Troubleshooting Guide for Spatial Operations

Comparing Unique Name-Value Combinations in R Using Various Methods

Transforming Two-Timepoint Wide Data to Long Format by Including All Time Points Between