R Program to Print the Fibonacci Sequence

A Fibonacci sequence is the integer sequence of

0, 1, 1, 2, 3, 5, 8....

The first two terms are 0 and 1. All other terms are obtained by adding the preceding two terms.

This means to say the nth term is the sum of (n-1)^th and (n-2)^th term.

Example: Print Fibonacci Sequence

# take input from the user
nterms = as.integer(readline(prompt="How many terms? "))
# first two terms
n1 = 0
n2 = 1
count = 2
# check if the number of terms is valid
if(nterms <= 0) {
print("Plese enter a positive integer")
} else {
if(nterms == 1) {
print("Fibonacci sequence:")
print(n1)
} else {
print("Fibonacci sequence:")
print(n1)
print(n2)
while(count < nterms) {
nth = n1 + n2
print(nth)
# update values
n1 = n2
n2 = nth
count = count + 1
}
}
}

How many terms? 7
[1] "Fibonacci sequence:"
[1] 0
[1] 1
[1] 1
[1] 2
[1] 3
[1] 5
[1] 8 

Here, we ask the user for the number of terms in the sequence. We initialize the first term to 0 and the seconde term to 1.

If the number of terms is more than 2, we use a while loop to find the next term in the sequence.

Inside the while loop, we first print the first two terms n1 and n2 respectively. Then, we calculate the next term nth by adding the last two terms and print it.

Now, we update the values of n1 and n2 to the last two terms, i.e. the term in n2 to n1 and the term we just calculated nth to n2.

This goes on until the number of terms reaches the nterms entered by the user.

Python Examples for Beginners: Python Code to Display Fibonacci Sequence Using Recursion

R Examples for Beginners – R Program to Print the Fibonacci Sequence

 

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.