How to convert integer to string in R?

How to convert integer to string in R?

How to convert integer to string in R?

This recipe helps you convert integer to string in R


Recipe Objective

Variables are used to store data in any programming language. In R language, The type of the data is checked at run time. The different data types in R include: Character, Numeric , Integer, Factor and Logical.

There are a few instances where we need to convert one data type into another to further use the information in order to perform operations. This is known as data type-casting.

In this recipe, We will demonstrate how to type-cast integer values into character (also known as string in other languages).

Step 1: Define an integer variable

We use the as.integer() function to define any integer value

a = as.integer(2)

To check the data type of a variable, we use class() function


Step 2: Converting integer to character

We use as.character() function to convert any data type to character/string data type

b = as.character(a) b
To check the data type of a variable, we use class() function


Relevant Projects

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.

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.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

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.

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.

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.

Topic modelling using Kmeans clustering to group customer reviews
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.

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.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales 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.