Recursion in R is like a mirror reflecting a mirror—it's a function that calls itself to solve a problem, breaking it down into smaller, simpler instances until it reaches a base case where it doesn't need to call itself anymore.
Let's explain this with an example of a factorial function, which calculates the factorial of a non-negative integer:
Example
# Define a factorial function using recursion
factorial <- function(n) {
if (n == 0) { # Base case: factorial of 0 is 1
return(1)
} else {
return(n * factorial(n - 1)) # Recursive case: n! = n * (n-1)!
}
}
# Calculate the factorial of 5
result <- factorial(5)
print(result) # Output: 120
Here's what's happening:
factorial
function takes an integer n
as input.if
) to check if n
is equal to 0. If it is, the function returns 1 because the factorial of 0 is defined as 1 (this is the base case).n
is not 0, the function calculates the factorial recursively by multiplying n
with the factorial of n - 1
. This is the recursive case.n
until it reaches the base case, where n
equals 0.n
.Recursion can be a powerful tool for solving problems that can be broken down into smaller, similar sub-problems. However, it's important to ensure that there's a base case to prevent infinite recursion and that the problem can indeed be solved using recursion.