How to do modulus operation in R?

How to do modulus operation in R?

How to do modulus operation in R?

This recipe helps you do modulus operation in R


Recipe Objective

Modulus Operation is an arithmetic operation in R which calculates the remainder after division of two numeric variables. This recipe demonstrates how to carry out the Modulus operation using two numeric variables while storing them in a third variable.

Step 1: Creating two numeric variables

We assign numbers to two variables

a = 10 b = 4

Step 2: Multiplying the two variables

We use the arithmetic operator " %% " to carry out this task and finally store the result in a third variable

# storing the result of the modulus arithmetic operation of the two numbers stored in variables 'a' and 'b' in 'result' result = a %% b # displaying the value stored in result result

Alternatively, we can also find the remainder after division of two numbers without assigning any variables to it. Just like a calculator. This is done simply by writing the operation as mentioned below and pressing 'enter'

10 %% 4

Relevant Projects

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Perform Time series modelling using Facebook Prophet
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Forecast Inventory demand using historical sales data in R
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.

Customer Market Basket Analysis using Apriori and Fpgrowth algorithms
In this data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.