How to Install R on Debian/Ubuntu
This guide explains how to install the R programming language on your Debian or Ubuntu server. R is an open-source language widely used for developing statistical software, data analysis, and visualization.
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Prerequisites
- SSH access as root or user with sudo
- Debian 11/12 or Ubuntu 20.04/22.04/24.04
- Minimum 1 GB RAM (2 GB+ recommended for heavy computations)
Why Use R?
R is particularly suited for:
- Statistical Analysis: Tests, regression models, analysis of variance
- Data Visualization: Publication-ready graphics with ggplot2
- Machine Learning: Classification, clustering, neural networks
- Bioinformatics: Genomic and proteomic analysis
- Finance: Risk analysis, financial modeling
Step 1: Install Dependencies
Since R is an actively developed project, the latest stable version is not always available in Debian/Ubuntu repositories. We will add the external repository maintained by CRAN.
Update the System
sudo apt update && sudo apt upgrade -y
Install Required Tools
sudo apt install -y dirmngr gnupg apt-transport-https ca-certificates software-properties-common
These packages provide:
dirmngr: Certificate management and network operationsgnupg: GPG key managementapt-transport-https: HTTPS support for APTca-certificates: Certificate authority certificatessoftware-properties-common: Repository management
Step 2: Add CRAN Repository
Add the GPG Key
sudo gpg --keyserver keyserver.ubuntu.com --recv-key '95C0FAF38DB3CCAD0C080A7BDC78B2DDEABC47B7'
sudo gpg --armor --export '95C0FAF38DB3CCAD0C080A7BDC78B2DDEABC47B7' | sudo tee /etc/apt/trusted.gpg.d/cran_debian_key.asc
Add the Repository for Your Distribution
For Debian 11 (Bullseye)
echo "deb http://cloud.r-project.org/bin/linux/debian bullseye-cran40/" | sudo tee /etc/apt/sources.list.d/r-project.list
For Debian 12 (Bookworm)
echo "deb http://cloud.r-project.org/bin/linux/debian bookworm-cran40/" | sudo tee /etc/apt/sources.list.d/r-project.list
For Ubuntu 22.04 (Jammy)
sudo add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/"
For Ubuntu 24.04 (Noble)
sudo add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu noble-cran40/"
Update Package List
sudo apt update
Step 3: Install R
Check Available Version
apt-cache policy r-base
Install R
sudo apt install -y r-base r-base-dev
The r-base-dev package includes development tools needed to compile R packages from source.
Verify Installation
R --version
You should see something like:
R version 4.4.x (2024-xx-xx) -- "Pile of Leaves"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu
Step 4: Using R
Launch R in Interactive Mode
For personal use:
R
To install packages available to all users:
sudo -i R
R Interface
Once in R, you will see the > prompt. Here are some basic commands:
# Display version
version
# Get help
help()
# Quit R
q()
Step 5: Install Packages from CRAN
R has thousands of packages available on CRAN (Comprehensive R Archive Network).
Install a Package
In the R interpreter:
install.packages('package_name')
Example: Install Common Packages
# Data manipulation
install.packages('dplyr')
install.packages('tidyr')
install.packages('data.table')
# Visualization
install.packages('ggplot2')
# Machine Learning
install.packages('caret')
install.packages('randomForest')
# Reports
install.packages('rmarkdown')
install.packages('knitr')
Load a Package
library(ggplot2)
Practical Example with txtplot
Let's install a simple package to create ASCII charts:
# Install the package
install.packages('txtplot')
# Load the package
library('txtplot')
# Create a simple plot
txtplot(cars[,1], cars[,2], xlab = 'speed', ylab = 'distance')
Result:
+----+--------+--------+-------+--------+--+
120 + * +
| |
d 100 + * +
i | * * |
s 80 + * * +
t | * * * |
a 60 + * +
n | * * * |
c 40 + * ** +
e | * * * * |
20 + * * * +
+----+--------+--------+-------+--------+--+
5 10 15 20 25
speed
Step 6: Install RStudio Server (Optional)
RStudio Server provides a web interface for R.
Download and Install RStudio Server
For Debian/Ubuntu:
# Install dependencies
sudo apt install -y gdebi-core
# Download RStudio Server (check the latest version at https://posit.co/download/rstudio-server/)
wget https://download2.rstudio.org/server/jammy/amd64/rstudio-server-2024.04.2-764-amd64.deb
# Install
sudo gdebi rstudio-server-2024.04.2-764-amd64.deb
Check Status
sudo systemctl status rstudio-server
Configure Firewall
sudo ufw allow 8787/tcp
sudo ufw reload
Access RStudio Server
Open your browser and navigate to:
http://SERVER_IP:8787
Log in with your Linux credentials.
Advanced Configuration
Set a Default CRAN Mirror
Create or edit the .Rprofile file:
nano ~/.Rprofile
Add:
options(repos = c(CRAN = "https://cloud.r-project.org"))
Install System Packages for R
Some R packages require system libraries:
# For packages with common dependencies
sudo apt install -y libcurl4-openssl-dev libssl-dev libxml2-dev libfontconfig1-dev libharfbuzz-dev libfribidi-dev libfreetype6-dev libpng-dev libtiff5-dev libjpeg-dev
Increase Available Memory
For heavy computations, you can increase the memory limit in R:
# Check available memory
memory.limit()
# On Linux, the limit is typically the available RAM
R Scripts from Command Line
Run an R Script
Rscript my_script.R
Example Script
Create a file analysis.R:
#!/usr/bin/env Rscript
# Load data
data <- read.csv("data.csv")
# Descriptive statistics
summary(data)
# Save results
write.csv(summary(data), "results.csv")
print("Analysis complete!")
Run it:
Rscript analysis.R
Popular Packages by Domain
Data Science
| Package | Description |
|---|---|
tidyverse | Collection of data science packages |
dplyr | Data manipulation |
ggplot2 | Visualization |
readr | Data import |
tidyr | Data cleaning |
Machine Learning
| Package | Description |
|---|---|
caret | Unified ML framework |
randomForest | Random forests |
xgboost | Gradient boosting |
keras | Deep learning |
mlr3 | Modern ML framework |
Statistics
| Package | Description |
|---|---|
stats | Basic statistics (included) |
lme4 | Mixed models |
survival | Survival analysis |
forecast | Time series |
Troubleshooting
Error When Installing a Package
If you get compilation errors:
# Install development tools
sudo apt install -y build-essential
# Install common dependencies
sudo apt install -y libcurl4-openssl-dev libssl-dev libxml2-dev
Package Not Found
Check that you're using the correct package name on CRAN.
Insufficient Memory
If R runs out of memory:
# Clean environment
rm(list = ls())
# Force garbage collection
gc()
Check Installed Packages
# List all packages
installed.packages()
# Check if a package is installed
"ggplot2" %in% rownames(installed.packages())
Updating R
To update R to the latest version:
sudo apt update
sudo apt upgrade r-base r-base-dev
After a major R update, you may need to reinstall your packages.