The “summary” Function in R

• Package: Base R (no specific package required)

• Purpose: Generates summary statistics of the input data.

• General Class: Descriptive Statistics

• Required Argument(s):

• object: An R object for which a summary is desired. This can be various types of objects, such as vectors, data frames, or statistical models.

• Notable Optional Arguments:

• ...: Additional arguments depending on the class of the object. For example, when the object is a linear model fit, additional arguments can be specified.

• digits: The number of digits to print. The default is getOption("digits") - 3.

• quantile.type: A string specifying the type of quantile to be computed, with options “7” (default), “1”, “2”, “3”, “4”, “5”, “6”, “8”, “9”, “10”.

• Example:

• # Example data frame
  data <- data.frame(
  Age = c(25, 30, 35, 40, 45),
  Height = c(160, 170, 165, 175, 180),
  Weight = c(55, 70, 60, 80, 75)
  )
  
  # Generate summary statistics for the data frame
  result <- summary(data)
  print(result)

• In this example, the summary function is used to generate summary statistics for a data frame containing columns Age, Height, and Weight. The result is printed to the console.