How to convert integer to float in R?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to convert integer to float in R?

How to convert integer to float in R?

This recipe helps you convert integer to float in R

0

Recipe Objective

How to convert an integer to a float in R? When a data type is converted to another data type, it is known as data type casting. Data type casting is necessary when an output returned is a data type different than what we need to perform any further operations. Data type casting is necessary when an output returned is a data type different than what we need to perform any further operations. There are different types of data types like integer, float, character, etc. Integers are described as whole numbers, whereas float describes a number as a decimal type. This recipe converts an integer value to a float value.

Step 1- Define a integer value

x <- 4

Step 2- Convert integer to float

sprintf() function returns a formatted character value of the given input value.

a <- sprintf("%1.3f",x) # converts the numeric value to character type print(a)

noquote() function removes the quotes from a character value.

b <- noquote(sprintf("%1.3f",x)) # converts character type to float type print(b)
"Output of the code is": 4.000

Relevant Projects

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.

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

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

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

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.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.