The “anti_join” Function in R

• Package: dplyr

• Purpose: To perform an anti-join between two data frames, keeping only the rows from the first data frame that do not have matching values in specified columns with the second data frame.

• General Class: Data Manipulation

• Required Argument(s):

• x, y: The data frames to be joined.

• by: Columns used for matching and merging.

• Notable Optional Arguments:

• suffix: A character vector of suffixes to be appended to duplicate and colliding column names.

• Example (with Explanation):

• # Load necessary packages
  library(dplyr)
  
  # Create two sample data frames
  data1 <- data.frame(
  ID = c(1, 2, 3),
  value1 = c(10, 15, 20)
  )
  
  data2 <- data.frame(
  ID = c(2, 3, 4),
  value2 = c(25, 30, 35)
  )
  
  # Perform an anti join based on the 'ID' column
  anti_joined_data <- anti_join(data1, data2, by = "ID")
  
  # Display the anti joined data
  print(anti_joined_data)

• In this example, the anti_join function from the dplyr package is used to perform an anti-join between two sample data frames (data1 and data2) based on the matching values in the ‘ID’ column. The result, anti_joined_data, contains only the rows from data1 that do not have matching values in data2. This function is useful when you want to identify and retain only the non-matching rows from the first data frame.