In R, function parameters (or arguments) play a central role in determining how functions are called and executed. Here’s a deeper look at different aspects of R parameters, including default parameters, ellipsis (…), lazy evaluation, and argument matching.
1. Passing Parameters by Name
When passing parameters by name, you explicitly specify the argument names in the function call. This way, the order of arguments doesn’t matter, as they are matched based on the name.
# Example function
calculate_area <- function(length, width) { return(length * width)
}
# Passing arguments by name
result <- calculate_area(length = 5, width = 10)
print(result)
# Output: 50
Benefits:
2. Passing Parameters by Position
When passing parameters by position, the values are assigned to the arguments based on the order in which they are passed. You don’t specify the argument names.
# Example function
calculate_area <- function(length, width) {
return(length * width)
}
# Passing arguments by position
result <- calculate_area(5, 10)
print(result) # Output: 50
Benefits:
Caution:
3. Using Both Position and Names for Parameters
You can mix both approaches, passing some arguments by position and others by name. R matches positional arguments first, and then matches the named arguments.
# Example function
calculate_area <- function(length, width, unit = “square meters”) {
print(paste(“The area is”, length * width, unit))
}
# Mixing position and named arguments
calculate_area(5, width = 10) # Output: “The area is 50 square meters”
Benefits:
