R Examples for Beginners – R Program to Find the Factorial of a Number Using Recursion

(R Example for Citizen Data Scientist & Business Analyst)

 

R Program to Find the Factorial of a Number Using Recursion

In this example, you’ll learn to find the factorial of a number using a recursive function.

 


The factorial of a number is the product of all the integers from 1 to the number.

For example, the factorial of 6 (denoted as 6!) as

1 * 2 * 3 * 4 * 5 * 6 = 720

Factorial is not defined for negative numbers and the factorial of zero is one, 0! = 1.

In this example, the factorial of a number is calculated using a recursive function. However, you can also calculate it without the recursive function.

 


Example: Find Factorial of a number using recursion

recur_factorial <- function(n) {
if(n <= 1) {
return(1)
} else { 
return(n * recur_factorial(n-1))
}
}

Output

> recur_factorial(5)
[1] 120

Here, we ask the user for a number and use recursive function recur_factorial() to compute the product upto that number.

Lets suppose the user passes 5 to the function.

Inside the recur_factorial(), the number 5 is multiplied to the factorial of (5 – 1 = 4).

4 is multiplied again to the factorial of (4 – 1 = 3). This goes on until the number reaches 1.

Now, all previous functions of 2, 3, 4 and 5 returns the result one by one giving you the final result 1*2*3*4*5, which equals 120.

 

Python Examples for Beginners: Python Code to Find the Factorial of a Number

 

R Examples for Beginners – R Program to Find the Factorial of a Number Using Recursion

 

Sign up to get end-to-end “Learn By Coding” example.


 

 

Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!

Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:

Applied Statistics with R for Beginners and Business Professionals

Data Science and Machine Learning Projects in Python: Tabular Data Analytics

Data Science and Machine Learning Projects in R: Tabular Data Analytics

Python Machine Learning & Data Science Recipes: Learn by Coding

R Machine Learning & Data Science Recipes: Learn by Coding

 

There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $79.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.

Please do not waste your valuable time by watching videos, rather use end-to-end (Python and R) recipes from Professional Data Scientists to practice coding, and land the most demandable jobs in the fields of Predictive analytics & AI (Machine Learning and Data Science).

The objective is to guide the developers & analysts to “Learn how to Code” for Applied AI using end-to-end coding solutions, and unlock the world of opportunities!

 

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.