How to Install R Studio on Linux
R is a statistical computing and graphics programming language and software environment developed by the R Foundation. R is a software package that includes tools for data processing, computation, and graphical presentation. R programming language is frequently used by statisticians, data scientists and data miners to create statistical tools and do data analysis. R is is the implementation of S programming language.
Installing R studio is a very simple and straight forward process. Just follow the steps and R Studio will be installed on your Linux distribution and ready for use in no time.
Installation Requirements
- At least 1 GB of RAM (Preferably more for bigger projects)
- 2 Core CPU
- 200 GB Disk Storage
- 2 GB RAM
- SUDO Privileges
Note: R Studio Installation Requirements Vary Based on R Studio Version and the Size of the Projects that you intend to work on.
R Studio Installation Steps
- Install R Base Core for Linux
sudo apt-install r-base-core
- Select your Linux Distribution and Download the latest version of R Studio
https://www.rstudio.com/products/rstudio/download/
- Select the Downloads Folder
cd Downloads
- Install R Studio Using the Following Command
sudo apt install .rstudio-2022.07.2-576-amd64.deb
Note that the Installation File Name Varies - It's better to Copy And Paste R Studio Installation File Name - Installation Complete. To open R Studio Simply Click on R Studio Icon to Launch the Program.
Installing and Learning R programming is quite simple actually, yet many students say that doing R Statistics Assignments is time consuming. The best solution for that is to get R Statistics Homework Help which does in fact save time and effort, giving you the freedom to study and focus on the tasks that actually matters.
R has many libraries such as ggplot2 and plotly, which provide users with visually appealing graphical plots. R is most known for its striking visuals, which makes it better than other Data Statistics Software for the majority of Data Scientists. Keep in mind that, R is maintained by a large community that maintains and updates R. If you have any problems with the code in R, you may seek help from the community.
