The “na_if” Function in R

• Package: dplyr

• Purpose: To replace specific values with missing values (NA).

• General Class: Data Manipulation

• Required Argument(s):

• x: The vector or data frame in which to replace values.

• y: The value to replace with NA.

• Notable Optional Arguments:

• None.

• Example (with Explanation):

• # Load necessary packages
  library(dplyr)
  
  # Create a sample data frame
  data <- data.frame(
  ID = c(1, 2, 3, 4, 5),
  value1 = c(10, NA, 20, NA, 30),
  value2 = c(NA, 15, NA, 25, NA)
  )
  
  # Replace specific values with NA
  result <- data %>%
  mutate_all(na_if, 20)
  
  # Display the result
  print(result)

• In this example, the na_if function from the dplyr package is used to replace the value 20 with NA in all columns of the sample data frame data. This function is applied to each column using mutate_all. The result is a new data frame result containing the original data with the specified values replaced by NA.