The “md.pattern” Function in R

• Package: mice

• Purpose: Identify the pattern of missing data.

• General class: Imputation

• Required argument(s):

• data: A data frame or matrix with missing values.

• Notable optional arguments:

• plot: Logical, whether to plot the missing data pattern (default is TRUE).

• rotate.names: Logical, whether to rotate variable names in the plot (default is FALSE).

• Example:

• # Load the required library
  library(mice)
  
  # Create a sample data frame with missing values
  data <- data.frame(
  age = c(25, 30, NA, 40, 35, NA),
  income = c(50000, 55000, 60000, NA, 65000, 70000)
  )
  
  # Identify the pattern of missing data
  missing_pattern <- md.pattern(data, plot = TRUE, rotate.names = TRUE)
  
  # Print the missing data pattern
  print(missing_pattern)

• This example demonstrates how to use the md.pattern function from the mice package to identify and visualize the pattern of missing data in a dataset. The data argument takes a data frame or matrix with missing values. Optional arguments like plot and rotate.names can be used to customize the output and visualization of the missing data pattern.