Tags / dplyr
Summing the Number of Different Columns Apart from the Name Column in Data Frames Using Map Function in R
Using the %>% Operator from magrittr without Loading dplyr
Handling Missing Values when Grouping Data in R: The Power of `na.rm = TRUE`
Mastering dplyr with Tibbles: A Powerful Approach to Data Manipulation in R
How to Apply Weights to Survey Data for Accurate Representation Using R and the weights Package
Converting a List of DataFrames to a List of Character Vectors in R
R Code Example: Creating Missing Values and Calculating Summary Statistics for ID-Based Data
Applying an Iterative/Non-Aggregating Function to Multiple Subsets of Data in R: A Flexible Solution Beyond Aggregation Packages
Handling Duplicate Values in Columns and Assigning Values to Other Columns Using Dplyr
How to Clean and Manipulate Data in R Using Regular Expressions and String Splitting Techniques