R Programming is a powerful statistical computing and graphics tool widely used for data analysis, visualization, and machine learning. It provides an extensive range of statistical techniques and graphical tools, making it a preferred choice for researchers, data scientists, and analysts. R integrates with various data sources and has a vibrant community that offers robust support and continuous development.

Features of R Programming:

Comprehensive tools for statistical analysis and data modeling.
Rich graphical capabilities for creating detailed and customizable visualizations.
Extensive library support for specialized analysis and machine learning tasks.
Seamless integration with databases, cloud platforms, and big data tools.
Open-source and free to use with contributions from a global developer community.
Flexibility to automate workflows and handle both small and large datasets efficiently.
Support for reproducible research with tools like R Markdown and Shiny applications.
Compatibility with other programming languages like Python, C++, and Java.

To check the R version run these commands:
$ sudo su
$ sudo apt update
$ R --version

Disclaimer: R is an open-source software distributed under the GNU General Public License. It is not affiliated with, endorsed by, or sponsored by any specific organization other than The R Foundation for Statistical Computing. R is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to R are not responsible for any damages

R ProgrammingbCloud LLC

R Programming

bCloud LLC

R Programming

bCloud LLC

R Programming
bCloud LLC