How to read a text file in R?

This recipe helps you read a text file in R

Get access to Data Science projects View all Data Science projects
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

Recipe Objective

How to read a text file in R? A text file (.txt extension) is a plain text file which can be accessed using notepad. R can read files with different formats like text file, csv file etc which are stored outside the R environment. Reading a file means, accessing the file in the R environment to perform various operations on the data. This recipe gives an example on how to read a text file in R.

Learn to Implement Deep Learning Techniques for Medical Image Segmentation

Step 1 - Read a text file

A text file can be read from an url. Syntax for reading a text file - readLines("x.txt")

x <- readLines("https://storage.googleapis.com/dimensionless/python/files/In-Flanders-Fields.txt") head(x)

A text file can also be imported by adding it to te files by clicking into 'Upload to session storage'

x <- readLines("R_61_SampleTextFile.txt") head(x)

What Users are saying..

profile image

Abhinav Agarwal

Graduate Student at Northwestern University
linkedin profile url

I come from Northwestern University, which is ranked 9th in the US. Although the high-quality academics at school taught me all the basics I needed, obtaining practical experience was a challenge.... Read More

Relevant Projects

Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students

You might also like

Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture

Relevant Projects

Ensemble Machine Learning Project - All State Insurance Claims Severity Prediction
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
View Project Details
Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.
View Project Details
Deep Learning Project- Real-Time Fruit Detection using YOLOv4
In this deep learning project, you will learn to build an accurate, fast, and reliable real-time fruit detection system using the YOLOv4 object detection model for robotic harvesting platforms.
View Project Details
Build a Logistic Regression Model in Python from Scratch
Regression project to implement logistic regression in python from scratch on streaming app data.
View Project Details
Build a Text Generator Model using Amazon SageMaker
In this Deep Learning Project, you will train a Text Generator Model on Amazon Reviews Dataset using LSTM Algorithm in PyTorch and deploy it on Amazon SageMaker.
View Project Details
Recommender System Machine Learning Project for Beginners-1
Recommender System Machine Learning Project for Beginners - Learn how to design, implement and train a rule-based recommender system in Python
View Project Details
Word2Vec and FastText Word Embedding with Gensim in Python
In this NLP Project, you will learn how to use the popular topic modelling library Gensim for implementing two state-of-the-art word embedding methods Word2Vec and FastText models.
View Project Details
NLP and Deep Learning For Fake News Classification in Python
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
View Project Details
Mastering A/B Testing: A Practical Guide for Production
In this A/B Testing for Machine Learning Project, you will gain hands-on experience in conducting A/B tests, analyzing statistical significance, and understanding the challenges of building a solution for A/B testing in a production environment.
View Project Details
End-to-End Snowflake Healthcare Analytics Project on AWS-1
In this Snowflake Healthcare Analytics Project, you will leverage Snowflake on AWS to predict patient length of stay (LOS) in hospitals. The prediction of LOS can help in efficient resource allocation, lower the risk of staff/visitor infections, and improve overall hospital functioning.
View Project Details