The “drop_na” Function in R

• Package: tidyr

• Purpose: To drop rows containing missing values.

• General Class: Data Reshaping

• Required Argument(s):

• data: A data frame to manipulate

• ...: Columns to consider for missing 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)
  )
  
  # Drop rows containing missing values in the 'Value' column
  result <- drop_na(data, Value)
  
  # Display the result
  print(result)

• In this example, the drop_na function from the tidyr package is used to drop rows containing missing values in the ‘Value’ column of the sample data frame data. As a result, rows 2 and 4, which contain missing values in the ‘Value’ column, are dropped from the data frame. The result is a new data frame result containing the original data with rows containing missing values removed.