The “replace_na” Function in R

• Package: tidyr

• Purpose: To replace missing values with specified values.

• General Class: Data Reshaping

• Required Argument(s):

• data: The data frame containing the columns with missing values.

• replace: A list of replacements, with column names as named list components and replacement values as values.

• Notable Optional Arguments:

• None.

• Example (with Explanation):

• # Load necessary packages
  library(tidyr)
  
  # Create a sample data frame with missing values
  data <- data.frame(
  ID = 1:5,
  Value = c(10, NA, 30, NA, 50)
  )
  
  # Replace missing values in the 'Value' column with a specified value
  result <- replace_na(data, list(Value = -99))
  
  # Display the result
  print(result)

• In this example, the replace_na function from the tidyr package is used to replace missing values in the ‘Value’ column of the sample data frame data with the value -99. After replacement, any missing values in the ‘Value’ column are substituted with -99. The result is a new data frame result containing the original data with missing values replaced.