Stats & R - How to install R and Rstudio (2024)

R is an open-source programming language and software environment for statistical computing, data analysis, and graphics. It was developed by Ross Ihaka and Robert Gentleman in 1993 and has since become a popular tool for data analysis and visualization in academia, government, and industry.

There are several reasons why you may want to learn R programming:

• Data analysis: R provides a wide range of statistical and graphical methods for data analysis, including linear and nonlinear regression, hypothesis testing, and machine learning algorithms.

• Visualization: R is equipped with powerful graphics capabilities, which make it an ideal tool for visualizing data in a way that can be easily understood.

• Open-source: R is free and open-source, meaning that users have access to its source code and can modify it to meet their needs.

• Community: R has a large and growing community of users and developers, which makes it easier to find help, tutorials, and resources.

• Interoperability: R integrates well with other programming languages, such as Python, SQL, and C++, making it a versatile tool for data analysis.

• Applications: R is widely used in various fields such as finance, biology, medicine, and marketing, making it a valuable skill to have in a number of industries.

  See Also

  Setting up R on macOS 10.15 Catalina (Complete Guide)(re-)Installation and Configuration of R on macOS | Maikel P.H. Verouden, Ph.D.How to Download and Install R & RStudio with Anaconda on Windows and Mac - Guru SoftwareHow to Download & Install R and RStudio on Mac

Overall, learning R programming provides users with a flexible, powerful, and accessible tool for data analysis, visualization, and machine learning.

RStudio is an integrated development environment (IDE) for the R programming language. It provides a user-friendly interface and includes features such as syntax highlighting, code completion, debugging, and visualization tools.

RStudio is not a part of the R programming language, but rather a third-party software that integrates with R. It provides additional functionality and a user-friendly interface on top of R, making it easier for users to interact with the R language and perform complex data analysis and visualization tasks. In short, R is a programming language, and RStudio is an IDE that makes it easier to work with R.

• Launch RStudio.

• Click on the “File” menu in the top left corner and select “New Project”.

• Select “New Directory” and then “New Project”.

  

• Choose the type of project you want to create: a standard project, a package project, or a Shiny web application project.

  

• Choose the location for your project and give it a name.

• Click “Create Project”.

  

• RStudio will create a new project directory with a specific structure, including a main R script file, a subdirectory for data, and a subdirectory for output.

• You can now start writing code and working on your project.

  

• Whenever you want to save your project, simply go to the “File” menu and select “Save”. Your project will be saved as an RStudio project file, which you can reopen later to continue working on it.

• Now test our installed R language environment

height <- c(145, 167, 176, 123, 150)weight <- c(51, 63, 64, 40, 55)cor(height, weight)

[1] 0.9893769

plot(height,weight, type = "p")

• If R language environment is installed properly, then you will see a dot plot of height and weight.