Sorting in R Programming Language

Here’s the translation of the Go sorting example into R:

Our example demonstrates sorting in R using built-in functions. We’ll look at sorting for different data types.

# In R, we don't need to import packages for basic sorting operations

# Main function to demonstrate sorting
main <- function() {
  # Sorting strings
  strs <- c("c", "a", "b")
  sorted_strs <- sort(strs)
  cat("Strings:", sorted_strs, "\n")

  # Sorting integers
  ints <- c(7, 2, 4)
  sorted_ints <- sort(ints)
  cat("Ints:   ", sorted_ints, "\n")

  # Checking if a vector is sorted
  is_sorted <- is.unsorted(sorted_ints) == FALSE
  cat("Sorted: ", is_sorted, "\n")
}

# Run the main function
main()

R’s sort() function is versatile and works with various data types, including strings and numbers. The is.unsorted() function can be used to check if a vector is sorted, but it returns TRUE for unsorted vectors, so we negate it to match the original example’s behavior.

To run the program, save it as sorting.R and use the R interpreter:

$ Rscript sorting.R
Strings: a b c 
Ints:    2 4 7 
Sorted:  TRUE

This example demonstrates basic sorting operations in R. The language provides more advanced sorting capabilities, including custom sorting functions and sorting data frames, which are commonly used in data analysis tasks.