Install R Ubuntu 20.04: Complete Beginner’s Setup Guide

R has become one of the most widely used programming languages for statistics, machine learning, and data visualization. If you’re looking to Install R Ubuntu systems for analytics or scientific computing, Ubuntu 20.04 provides a stable platform that works well with the latest R packages and development tools.

This guide explains how to install R on Ubuntu 20.04, verify the installation, and prepare your system for installing additional CRAN packages.

Why Install R Ubuntu?

R is an open-source programming language built specifically for statistical analysis and graphical computing. It is widely adopted by researchers, data scientists, analysts, and academic institutions because of its extensive package ecosystem and active community.

Some common applications of R include:

• Statistical analysis
• Machine learning
• Data visualization
• Predictive modeling
• Scientific research
• Business intelligence

Installing R from the official CRAN repository also ensures you receive newer releases compared to the versions available in Ubuntu’s default repositories.

Install R Ubuntu from the CRAN Repository

Before installing R, ensure your Ubuntu system is updated and that you have a user account with sudo privileges.

First, install the packages required for securely adding external repositories:

sudo apt update
sudo apt install dirmngr gnupg apt-transport-https ca-certificates software-properties-common

Next, add the official CRAN repository and its signing key:

sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9

sudo add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu focal-cran40/"

After adding the repository, install R using:

sudo apt update
sudo apt install r-base

Once installation completes, verify the installed version:

R --version

If version information appears, R has been installed successfully.

Install R Ubuntu Packages

One of R’s biggest strengths is its massive collection of packages available through the Comprehensive R Archive Network (CRAN).

To compile source packages efficiently, install Ubuntu’s development tools:

sudo apt install build-essential

Launch the R console:

R

Install a package from CRAN:

install.packages("stringr")

Load the package:

library(stringr)

You can now use its functions within your R scripts.

Testing Your Installation

A simple test confirms everything works correctly.

Create a character vector:

words <- c("Install","R","on","Ubuntu")

Display the length of each string:

stringr::str_length(words)

If the output returns the character counts, your installation and package setup are functioning correctly.

Tips for Managing R Packages

To maintain a healthy R environment:

• Install packages only from trusted CRAN repositories.
• Update installed packages regularly.
• Use separate project environments for large projects.
• Install development tools before compiling source packages.
• Remove unused packages periodically to keep your system clean.

Following these practices helps improve package compatibility and overall system stability.

Conclusion

Choosing to Install R Ubuntu is an excellent step for anyone working in statistics, machine learning, or data science. By installing R from the official CRAN repository and adding essential development tools, you’ll have access to the latest features and thousands of community-supported packages. Whether you’re analyzing datasets, creating visualizations, or building predictive models, Install R Ubuntu provides a reliable and powerful environment for professional data analysis.