Removing Duplicate Rows When Spreading Data with R's Spread Function

Tidying Multiple Observations per Row with tidyverse

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

Handling Missing Data in R: A Conditional Approach Using Consecutive NA Values

Creating Grouping Indicators per Row in R with dplyr and match() Functions

Merging Multiple Rows into One Row in R: A Comprehensive Guide

Determining Last Observation in Time Series Data Using R's dplyr and tidyr Libraries

Selecting Certain Observations Plus Before and After Dates Using R

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

How to Transform Repeated Rows for a Column in R with Tidyverse Package