R Programming Language is a language and free software environment, available under GNU license, supported by the R Foundation for Statistical Computing. Install R and R Studio The language is most widely known for its powerful statistical and data interpretation capabilities.
To use R language, you need the R environment to be Install R and R Studio on your machine, and an IDE (Integrated development environment) to run the language (can also be run using CMD on Windows or Terminal on Linux).
Why use R Studio?
- It is a powerful IDE, specifically used for the R language.
- Provides literate programming tools, which allow the use of R scripts, outputs, text, and images in reports, Word documents, and even HTML files.
- The use of Shiny (open-source R package) allows us to create interactive content in reports and presentations.
How to Install R and R Studio
To Install R and R Studio on windows we will follow the following steps.
Step 1: First, you need to set up an R environment in your local machine. You can download the same from r-project.org.
You have to download both the applications first go with R Base and then install RStudio. after click on install R you will get a new page like this.
Here we can select the linux,mac or windows any one according to users system. you have to click on for which you want to install.
now click on the link show above in image so R base start downloading and after again go to main page and download and click on Install RStudio.
Step 2: After downloading R for the Windows platform, install it by double-clicking it.
Step 3: Download R Studio from their official page. Note: It is free of cost (under AGPL licensing).
Step 4: After downloading, you will get a file named “RStudio-1.x.xxxx.exe” in your Downloads folder.
Step 5: Double-click the installer, and install the software.
Step 6: Test the R Studio installation
- Search for RStudio in the Window search bar on Taskbar.
- Start the application.
- Insert the following code in the console.
Input : print('Hello world!')
Output : [1] "Hello world!"
Step 7: Your installation is successful.
Installing R Studio on Ubuntu
Installing R Studio on Ubuntu has steps similar to Windows:
Through Terminal
Step 1: Open terminal (Ctrl+Alt+T) in Ubuntu.
Step 2: Update the package’s cache.
sudo apt-get update
Step 3: Install R environment.
sudo apt -y install r-base
Check for the version of R package using
R --version
Step 4: Check R installation by using the following command.
user@Ubuntu:~$ R
(Note that R version should be 3.6+ to be able to install all packages like tm, e1071, etc.). If there is issue with R version, see the end of the post.
Step 5: Exit the terminal.
Through Ubuntu software Center
Step 1: Open Ubuntu Software Center.
Step 2: Search for r-base.
Step 3: Click install.
Install Rstudio on Ubuntu
Step 1: Install gdebi package to install .deb packages easily.
sudo add-apt-repository universe
sudo apt-get install gdebi-core
Step 2: Go to R Studio downloads and select the latest *.deb package available under Ubuntu 18/Debian 10.
Step 3: Navigate to the Downloads folder in the local machine.
$ cd Downloads/
$ ls
rstudio-1.2.5042-amd64.deb
Step 4: Install using gdebi package.
sudo gdebi rstudio-1.2.5042-amd64.deb
Step 5: Run the RStudio using Terminal
user@Ubuntu:~/Downloads/ $ rstudio
Alternatively, use the menu to search for Rstudio.
Step 6: Test the R Studio using the basic “Hello world!” command and exit.
Input : print('Hello world!')
Output : [1] "Hello world!"
Alternatively, RStudio can be installed through Ubuntu Software as well, but using the above approach generally guarantees the latest version is installed.
If there are issues with the R version getting downloaded or the previously installed version is older, check R version with
R --version
Now, Run the following commands in Terminal (Ctrl + Alt + T)
Add the key to secure APT from the CRAN package list:
sudo apt-key adv –keyserver keyserver.ubuntu.com –recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
Add the latest CRAN repository to the repository list. (This is for Ubuntu 18.04 specifically):
sudo add-apt-repository ‘deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/’
Update the package cache:
sudo apt update
Install the r-base package:
sudo apt install r-base