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R-Devel Build for Windows: Download the Development Version of R with New Features and Improvements



Download R in 2023: A Complete Guide




If you are interested in data analysis, statistics, or visualization, you might have heard of R. R is a free software environment that allows you to perform various tasks with data, such as manipulating, transforming, modeling, plotting, and reporting. In this article, we will show you how to download R in 2023 for different operating systems, as well as how to update it to the latest version.




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What is R and why should you use it?




R is a programming language and a software environment that was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, in 1993. It is an extension of the S language, which was developed at Bell Laboratories by John Chambers and others. The name R comes from the first letters of its creators' names.


R is a free software for statistical computing and graphics




One of the main reasons to use R is that it is free. You can download, install, use, modify, and distribute it without any restrictions or fees. This makes it accessible to anyone who wants to learn or practice data analysis. You can also find many free resources online, such as books, tutorials, courses, blogs, podcasts, and videos, that can help you learn and improve your skills in R.


R has many features and advantages for data analysis and visualization




Another reason to use R is that it has many features and advantages that make it suitable for data analysis and visualization. Some of these are:


  • R has a large and diverse collection of packages that extend its functionality and provide tools for various domains and applications. For example, you can use packages like dplyr, tidyr, ggplot2, shiny, rmarkdown, knitr, caret, mlr, etc., to perform tasks such as data manipulation, data visualization, web development, document generation, machine learning, etc.



  • R has a powerful and expressive syntax that allows you to write concise and readable code. You can also use functions, loops, conditionals, vectors, matrices, lists, data frames, etc., to create complex data structures and operations.



  • R has an interactive and dynamic environment that allows you to execute your code line by line and see the results immediately. You can also use tools like RStudio or Jupyter Notebook to create interactive documents that combine code, output, text, images, etc.



  • R has a high-quality graphics system that allows you to create stunning plots and charts with minimal code. You can also customize your graphics with themes, colors, fonts, legends, annotations, etc., or use interactive graphics with packages like plotly, leaflet, highcharter, etc.



R is widely used and supported by a large community of users and developers




A third reason to use R is that it is widely used and supported by a large community of users and developers. According to the 2022 Stack Overflow Developer Survey, R ranked as the 14th most popular programming language among professional developers, and the 6th most loved language. R also has a vibrant and active community that contributes to its development, maintenance, and improvement. You can find many forums, mailing lists, blogs, podcasts, webinars, conferences, meetups, etc., where you can ask questions, share your knowledge, learn from others, network with peers, and stay updated with the latest trends and innovations in R.


How to download R for different operating systems?




Now that you know what R is and why you should use it, let's see how you can download it for different operating systems. The official website of R is where you can find all the information and resources related to R. To download R, you need to go to the Comprehensive R Archive Network (CRAN) page at which is a network of servers that store and distribute R packages and binaries. Depending on your operating system, you need to follow different steps to download and install R.


Download R for Windows




If you are using Windows, you need to follow these steps to download R:


Choose your preferred CRAN mirror. On the CRAN page, you will see a list of mirrors that are located in different countries. You can choose any mirror that is close to your location or that has a good connection speed. For example, you can choose the USA (CA 1) mirror at


  • Download the latest version of R for Windows. On the CRAN mirror page, you will see a link that says "Download R for Windows". Click on it and you will be taken to another page where you will see a link that says "base". Click on it and you will see another link that says "Download R x.x.x for Windows" where x.x.x is the latest version number of R. For example, as of June 2023, the latest version of R is 4.2.1, so you will see a link that says "Download R 4.2.1 for Windows". Click on it and save the file to your computer.



  • Install UCRT if needed. UCRT stands for Universal C Runtime, which is a component of the Windows operating system that is required by some applications. Starting from R 4.1.0, UCRT is required by R for Windows. If you are using Windows 10 or later, you don't need to install UCRT separately as it is already included in your system. However, if you are using an older version of Windows, such as Windows 7 or 8.1, you need to install UCRT before installing R. You can find the UCRT installer at (for 64-bit systems) or (for 32-bit systems). Download and run the installer and follow the instructions.



  • Verify the integrity of the downloaded file. Before installing R, it is recommended that you verify the integrity of the downloaded file to make sure that it has not been corrupted or tampered with during the download process. You can do this by checking the MD5 checksum or the SHA-256 checksum of the file against the values provided on the CRAN mirror page under "Checksums". You can use tools like MD5 & SHA Checksum Utility or HashTab to calculate and compare the checksums.



  • Install R for Windows. After verifying the integrity of the downloaded file, you can install R for Windows by double-clicking on the file and following the instructions. You can choose the default settings or customize them according to your preferences.



Download R for macOS




If you are using macOS, you need to follow these steps to download R:


Choose your preferred CRAN mirror. On the CRAN page, you will see a list of mirrors that are located in different countries. You can choose any mirror that is close to your location or that has a good connection speed. For example, you can choose the USA (CA 1) mirror at


  • Download the latest version of R for macOS. On the CRAN mirror page, you will see a link that says "Download R for (Mac) OS X". Click on it and you will be taken to another page where you will see a link that says "R-x.x.x.pkg" where x.x.x is the latest version number of R. For example, as of June 2023, the latest version of R is 4.2.1, so you will see a link that says "R-4.2.1.pkg". Click on it and save the file to your computer.



  • Install XQuartz if needed. XQuartz is an implementation of the X Window System for macOS, which is required by some R packages that use graphics or GUIs. Starting from R 4.0.0, XQuartz is no longer included in the R installer for macOS, so you need to install it separately if you don't have it already. You can find the XQuartz installer at Download and run the installer and follow the instructions.



  • Verify the integrity of the downloaded file. Before installing R, it is recommended that you verify the integrity of the downloaded file to make sure that it has not been corrupted or tampered with during the download process. You can do this by checking the MD5 checksum or the SHA-256 checksum of the file against the values provided on the CRAN mirror page under "Checksums". You can use tools like MD5 & SHA Checksum Utility or HashTab to calculate and compare the checksums.



  • Install R for macOS. After verifying the integrity of the downloaded file, you can install R for macOS by double-clicking on the file and following the instructions. You can choose the default settings or customize them according to your preferences.



Download R for Linux




If you are using Linux, you need to follow these steps to download R:


Choose your preferred CRAN mirror. On the CRAN page, you will see a list of mirrors that are located in different countries. You can choose any mirror that is close to your location or that has a good connection speed. For example, you can choose the USA (CA 1) mirror at


  • Download the latest version of R for Linux. On the CRAN mirror page, you will see a link that says "Download R for Linux". Click on it and you will be taken to another page where you will see a list of links for different Linux distributions, such as Debian, Ubuntu, Fedora, Red Hat, etc. Choose the link that matches your distribution and follow the instructions on how to download and install R from the repositories or from source code.



  • Install the dependencies if needed. Depending on your Linux distribution and how you install R, you may need to install some dependencies before or after installing R. These dependencies are usually libraries or packages that are required by R or some of its packages. You can find a list of dependencies for different distributions on the CRAN mirror page under "Installation and Compilation". You can use tools like apt-get, yum, dnf, etc., to install the dependencies.



  • Verify the integrity of the downloaded file. If you download R from source code, it is recommended that you verify the integrity of the downloaded file to make sure that it has not been corrupted or tampered with during the download process. You can do this by checking the MD5 checksum or the SHA-256 checksum of the file against the values provided on the CRAN mirror page under "Checksums". You can use tools like md5sum or sha256sum to calculate and compare the checksums.



  • Install R for Linux. After verifying the integrity of the downloaded file and installing the dependencies if needed, you can install R for Linux by following the instructions on how to compile and install R from source code. You can find the instructions on the CRAN mirror page under "Installation and Compilation". You can use tools like make, gcc, gfortran, etc., to compile and install R.



How to update R to the latest version?




If you already have R installed on your computer, you may want to update it to the latest version from time to time. This will allow you to enjoy the new features, bug fixes, and performance improvements that are added by the R developers. Depending on your operating system, you need to follow different steps to update R.


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Update R for Windows




If you are using Windows, you need to follow these steps to update R:


  • Uninstall the previous version of R. Before installing the new version of R, it is recommended that you uninstall the previous version of R to avoid any conflicts or errors. You can do this by going to the Control Panel and selecting "Uninstall a program". Find R in the list of programs and click on "Uninstall". Follow the instructions to remove R from your computer.



  • Download and install the latest version of R for Windows. Follow the same steps as described above in the section "Download R for Windows" to download and install the latest version of R for Windows.



Update R for macOS




If you are using macOS, you need to follow these steps to update R:


  • Uninstall the previous version of R. Before installing the new version of R, it is recommended that you uninstall the previous version of R to avoid any conflicts or errors. You can do this by dragging the R icon from the Applications folder to the Trash. Alternatively, you can use tools like AppCleaner or AppZapper to remove R and its associated files from your computer.



  • Download and install the latest version of R for macOS. Follow the same steps as described above in the section "Download R for macOS" to download and install the latest version of R for macOS.



Update R for Linux




If you are using Linux, you need to follow these steps to update R:


  • Uninstall the previous version of R. Before installing the new version of R, it is recommended that you uninstall the previous version of R to avoid any conflicts or errors. You can do this by using tools like apt-get, yum, dnf, etc., to remove R and its dependencies from your system.



  • Download and install the latest version of R for Linux. Follow the same steps as described above in the section "Download R for Linux" to download and install the latest version of R for Linux.



Conclusion




In this article, we have shown you how to download and update R in 2023 for different operating systems. We have also explained what R is and why you should use it for data analysis and visualization. We hope that this article has been helpful and informative for you. If you have any questions or comments, please feel free to leave them below.


Frequently Asked Questions




  • Q: How do I check which version of R I have installed?



  • A: You can check which version of R you have installed by running the command R --version in your terminal or console. This will display information such as the version number, platform, date, etc., of your installed R.



  • Q: How do I install additional packages in R?



  • A: You can install additional packages in R by using the install.packages() function in R. For example, if you want to install the dplyr package, you can run the command install.packages("dplyr") in R. You can also use tools like RStudio or Jupyter Notebook to install packages from a graphical interface.



  • Q: How do I update the packages in R?



  • A: You can update the packages in R by using the update.packages() function in R. This will check for new versions of the packages that you have installed and update them if needed. You can also use tools like RStudio or Jupyter Notebook to update packages from a graphical interface.



  • Q: How do I uninstall the packages in R?



  • A: You can uninstall the packages in R by using the remove.packages() function in R. For example, if you want to uninstall the dplyr package, you can run the command remove.packages("dplyr") in R. You can also use tools like RStudio or Jupyter Notebook to uninstall packages from a graphical interface.



  • Q: How do I get help or documentation for R or its packages?



  • A: You can get help or documentation for R or its packages by using the help() or ?() functions in R. For example, if you want to get help or documentation for the dplyr package, you can run the command help(dplyr) or ?dplyr in R. You can also use tools like RStudio or Jupyter Notebook to access help or documentation from a graphical interface.



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