The “table” Function in R

• Package: Base R (no specific package required)

• Purpose: Construct contingency tables of the counts at each combination of factor levels.

• General Class: Descriptive Statistics

• Required Argument(s):

• ...: One or more factors.

• Notable Optional Arguments:

• exclude: Levels to be excluded from the result. The default is NULL.

• useNA: A character string specifying if and how to treat missing values. Options include “no”, “ifany”, “always”. Default is “ifany”.

• dnn: A character vector specifying the names for the dimensions in the result. The default is NULL.

• deparse.level: An integer specifying how the levels of factors in the result should be deparsed. The default is 1.

• Example:

• # Example data frame
  data <- data.frame(
  Gender = c("Male", "Female", "Male", "Female", "Male", "Female", "Male", "Female", "Male", "Female"),
  Class = c("A", "B", "A", "B", "A", "B", "A", "B", "A", "B")
  )
  
  # Create a contingency table of counts
  result <- table(data$Gender, data$Class)
  print(result)

• In this example, the table function is used to create a contingency table of counts for the combination of the Gender and Class variables in the data frame. The result is then printed to the console.