The “group_by” Function in R

• Package: dplyr

• Purpose: Groups a data frame by one or more variables.

• General Class: Data Manipulation

• Required Argument(s):

• .data: A data frame or tibble.

• ...: Grouping variables (column names or expressions).

• Notable Optional Arguments:

• None specific to group_by, but it is commonly used in conjunction with other functions from dplyr like summarize, mutate, etc.

• Example:

• # Example data for grouping a data frame using dplyr
  library(dplyr)
  
  df <- data.frame(
  ID = c(1, 2, 3, 4, 5, 6),
  Category = c("A", "B", "A", "B", "A", "B"),
  Value = c(10, 15, 20, 25, 30, 35)
  )
  
  # Group data frame by the "Category" column
  grouped_df <- group_by(df, Category)
  
  # Display the grouped data frame
  print(grouped_df)

• In this example, the group_by function from the dplyr package is used to group a data frame (df) by the values in the “Category” column. The result is a grouped data frame (grouped_df). Note that you need to have the dplyr package installed and loaded to use the group_by function.