Rstudio online

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Learn RStudio today: find your RStudio online course on Udemy. Learn RStudio today: find your RStudio online course on Udemy. New-learner offer

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Run RStudio Online - Turbo.net

Prompt. Specific help information can be found by entering the specific topic you are looking for information about, e.g., help(sd) for help with standard deviation. Information on contributors to the R project can be obtained by entering contributors() at the prompt. You can find out how to cite R by entering citation() at the prompt. License information for R can be easily obtained by entering license() at the prompt.R is distributed under the terms of the GNU General Public License, either Version 2, June 1991, or Version 3, June 2007. For more information about licensing R, refer to the R Project website.In addition, RStudio provides an excellent Help menu within the GUI. This area includes links to an RStudio cheat sheet (which can be downloaded as a PDF), online learning at RStudio, RStudio documentation, support, and license information.Are you doing data science with R? Let us know how you are using it by leaving a comment below. This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License. Menu and click “Check for R Updates” (see image below). If you do that, R will tell you the current version you’re on, and whether or not there is a more updated version that you can download (circled in blue).Alternatively, if you’re in RStudio, you can type and run “sessionInfo()” in the R Console. The first line that the console returns is the version of R that you’re using. You can then download and install the latest version of R here for Mac, and here for Windows.If you’re using a Windows computer, you may need to uninstall R to update it. You can find a quick guide for that here. Another great option for Windows users is to use a package called installr (unfortunately only available for Windows, @Mac users). All you need to do is install “installr”, load up the library, and run the code “updateR()”. This function will check for newer versions and will guide you through the update process.If you want to update to the latest version of RStudio, hover over “Help” on the top menu bar of your Mac, and click “Check for Updates”. Then, quit the RStudio program, go to the RStudio website, and download and install the latest version.Now you should have the latest versions of R and RStudio on your computer. I hope this tutorial was helpful!As a quick note: my “Basics of R” course uses R version 4.0.2 and RStudio version 1.3.959. There shouldn’t be any incompatibility issues if you’re running a slightly different version, but it is usually best to stay up to date with your software!If you liked this post and want to learn more, then check out my online course on the complete basics of R for ecology:Start learning nowAlso be sure to check out R-bloggers for other great tutorials on learning R

Teaching online with RStudio Cloud

If you’re opting for SSH, then make sure to copy the SSH URL. Clone the test GitHub repository to your computer via RStudioIn RStudio, start a new Project:File > New Project > Version Control > Git. In “Repository URL”, paste the URL of your new GitHub repository. It will be something like this you NOT see an option to get the Project from Version Control? Restart RStudio and try again. Still no luck? Go to chapter 13 for tips on how to help RStudio find Git.Accept the default project directory name, e.g. myrepo, which coincides with the GitHub repo name.Take charge of – or at least notice! – where the Project will be saved locally. A common rookie mistake is to have no idea where you are saving files or what your working directory is. Pay attention. Be intentional. Personally, I would do this in ~/tmp.I suggest you check “Open in new session”, as that’s what you’ll usually do in real life.Click “Create Project”.You should find yourself in a new local RStudio Project that represents your test repo on GitHub.This should download the README.md file from GitHub.Look in RStudio’s file browser pane for the README.md file. Make local changes, save, commitFrom RStudio, modify the README.md file, e.g., by adding the line “This is a line from RStudio”. Save your changes.Commit these changes to your local repo. How?From RStudio:Click the “Git” tab in upper right pane.Check “Staged” box for README.md.If you’re not already in the Git pop-up, click “Commit”.Type a message in “Commit message”, such as “Commit from RStudio”.Click “Commit”. Push your local changes online to GitHubClick the green “Push” button to send your local changes to GitHub.You should not experience a credential challenge, since one of the pre-requisites was successfully pushing to GitHub from the command line (chapter 11).RStudio’s Git pane just exposes a specific subset of command line Git and therefore once your credentials work in the shell, they should work in RStudio.If you do experience a credential challenge, that suggests you should have a look at the troubleshooting suggestions for your chosen protocol, either HTTPS or SSH. Confirm. Learn RStudio today: find your RStudio online course on Udemy. Learn RStudio today: find your RStudio online course on Udemy. New-learner offer RStudio Cloud is a lightweight, cloud-based solution that allows anyone to do, share, teach and learn data science online. RStudio Cloud Overview - RStudio RStudio Cloud

Online teaching Q A - RStudio

Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly /;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Notifications You must be signed in to change notification settings Fork 24 Star 51 Code Issues Pull requests Actions Projects Security Insights Repository files navigationREADMER programming ebooksBig Book for R, a book which collected R-related programming books.Base RR in Action Data Analysis and Graphics with R, the first book I used to learn RLearning R, suitable for beginners, the second book I used to learn RGetting used to R, RStudio, and R Markdown, free online, provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible researchR cookbook, 2nd Edition, free online, qucik reference manual for common R programming problemsAdvanced R, free online, and the solutions to the exercises in the book is provided in Advanced R solutionsWhat They Forgot to Teach You about R, free online, designed for experienced R and RStudio users who want to (re)design their R lifestyle and will improve your This appendix provides tips for installing RStudio Server for use with Oracle Machine Learning for R on Linux. This appendix includes these topics: About RStudioDescribes RStudio. Install RStudio ServerRStudio Server is a Linux application that provides a web-based interface to R on a server. Install RStudio DesktopRStudio Desktop is an IDE for standalone machines. C.1 About RStudio Describes RStudio. RStudio is a free, open source Integrated Development Environment (IDE) for R. RStudio is available under GNU Affero General Public License (AGPL). You can use RStudio with Oracle Machine Learning for R, however RStudio is not included with OML4R. If you want to use RStudio, you must install and license it separately. C.2 Install RStudio Server RStudio Server is a Linux application that provides a web-based interface to R on a server. To install RStudio Server for use with Oracle Machine Learning for R: Go to the RStudio website and navigate to the RStudio Server Download page. Download the server to your Linux system and follow the installation instructions. Create the file /etc/rstudio/rserver.conf. Add the values of R_HOME and ORACLE_HOME. sudo vi /etc/rstudio/rserver.conf rsession-ld-library-path=R_HOME/lib:ORACLE_HOME/libNote: The default value of R_HOME on Linux is /usr/lib64/R. Create the configuration file /usr/lib64/R/etc/Renviron.site. Supply the values of ORACLE_HOME, ORACLE_HOSTNAME, and ORACLE_SID. For example, using the BASH shell: cd /usr/lib64/R/etcsudo vi Renviron.site ORACLE_HOME=ORACLE_HOME ORACLE_HOSTNAME=ORACLE_HOSTNAME ORACLE_SID=ORACLE_SID Restart the RStudio Server service as sudo or root: sudo rstudio-server restart Refer to the instructions for configuring the server. Return to the RStudio Server Download page, then navigate to the Configuring the Server article in the RStudio documentation. C.3 Install RStudio Desktop RStudio Desktop is an IDE for standalone machines. To install RStudio Desktop: Install R. Go to the RStudio website, navigate to the RStudio Desktop Download page, and download RStudio Desktop. Run the installer and follow the prompts. Click the desktop icon to initialize RStudio.

GitHub - rstudio/rstudio: RStudio is an integrated development

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Installing RStudio Dependencies rstudio/rstudio Wiki

Daily 2023.09 Desert Sunflower Built on August 18, 2023 () from c125f5be This is a daily build of RStudio 2023.09 "Desert Sunflower", a development version of RStudio. It is provided for testing purposes only, and is not recommended for general use. RStudio Desktop Platform Arch Filename Size Permalink Windows 10+ x86_64 RStudio-2023.09.0-daily-332.exe 172 MiB Details MacOS 11+ universal RStudio-2023.09.0-daily-332.dmg 306 MiB Details Ubuntu 20 x86_64 rstudio-2023.09.0-daily-332-amd64.deb 118 MiB Details Ubuntu 20 arm64 rstudio-2023.09.0-daily-332-arm64.deb 112 MiB Details Ubuntu 22 x86_64 rstudio-2023.09.0-daily-332-amd64.deb 119 MiB Details Ubuntu 22 arm64 rstudio-2023.09.0-daily-332-arm64.deb 112 MiB Details RedHat 7 x86_64 rstudio-2023.09.0-daily-332-x86_64.rpm 131 MiB Details RedHat 8 x86_64 rstudio-2023.09.0-daily-332-x86_64.rpm 132 MiB Details RedHat 9 x86_64 rstudio-2023.09.0-daily-332-x86_64.rpm 126 MiB Details RedHat 9 arm64 rstudio-2023.09.0-daily-332-aarch64.rpm 125 MiB Details OpenSUSE 15 x86_64 rstudio-2023.09.0-daily-332-x86_64.rpm 118 MiB Details Windows 10+ (installer-less) x86_64 RStudio-2023.09.0-daily-332.zip 239 MiB Details Ubuntu 20 (installer-less) x86_64 rstudio-2023.09.0-daily-332-amd64-debian.tar.gz 168 MiB Details Ubuntu 20 (installer-less) arm64 rstudio-2023.09.0-daily-332-arm64-debian.tar.gz 168 MiB Details Ubuntu 22 (installer-less) x86_64 rstudio-2023.09.0-daily-332-amd64-debian.tar.gz 169 MiB Details Ubuntu 22 (installer-less) arm64 rstudio-2023.09.0-daily-332-arm64-debian.tar.gz 168 MiB Details RedHat 7 (installer-less) x86_64 rstudio-2023.09.0-daily-332-x86_64-fedora.tar.gz 166 MiB Details RedHat 8 (installer-less) x86_64 rstudio-2023.09.0-daily-332-x86_64-fedora.tar.gz 168 MiB Details RedHat 9 (installer-less) x86_64 rstudio-2023.09.0-daily-332-x86_64-fedora.tar.gz 169 MiB Details RedHat 9 (installer-less) arm64 rstudio-2023.09.0-daily-332-aarch64-fedora.tar.gz 168 MiB Details OpenSUSE 15 (installer-less) x86_64 rstudio-2023.09.0-daily-332-x86_64-fedora.tar.gz 168 MiB Details RStudio Server Platform Arch Filename Size Permalink Ubuntu 20 x86_64 rstudio-server-2023.09.0-daily-332-amd64.deb 82 MiB Details Ubuntu 20 arm64 rstudio-server-2023.09.0-daily-332-arm64.deb 78 MiB Details Ubuntu 22 x86_64 rstudio-server-2023.09.0-daily-332-amd64.deb 82 MiB Details Ubuntu 22 arm64 rstudio-server-2023.09.0-daily-332-arm64.deb 78 MiB Details RedHat 7 x86_64 rstudio-server-rhel-2023.09.0-daily-332-x86_64.rpm 92 MiB Details RedHat 8 x86_64 rstudio-server-rhel-2023.09.0-daily-332-x86_64.rpm 93 MiB Details RedHat 9 x86_64 rstudio-server-rhel-2023.09.0-daily-332-x86_64.rpm 89 MiB Details RedHat 9 arm64 rstudio-server-rhel-2023.09.0-daily-332-aarch64.rpm 88 MiB Details SUSE 15+ x86_64 rstudio-server-2023.09.0-daily-332-x86_64.rpm 82 MiB Details These builds use your existing license. If you haven't yet licensed the product then the build provides a 45-day evaluation version subject to the Posit End User License Agreement. By downloading the product you acknowledge that you either have an existing license or that you are evaluating the product and agree to the terms of the Posit End User License Agreement. RStudio Desktop Pro Platform Arch Filename Size Permalink Windows 10+ x86_64 RStudio-pro-2023.09.0-daily-332.pro23.exe 162 MiB Details Windows 10+ x86_64 RStudio-pro-2023.09.0-daily-332.pro23.exe 175 MiB Details MacOS 11+ universal RStudio-pro-2023.09.0-daily-332.pro23.dmg 306 MiB Details MacOS 11+ universal RStudio-pro-2023.09.0-daily-332.pro23.dmg 219 MiB Details Ubuntu 20 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64.deb 117 MiB Details Ubuntu 20 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64.deb 119 MiB Details Ubuntu 22 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64.deb 120 MiB Details Ubuntu 22 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64.deb 118 MiB Details Ubuntu 22 arm64 rstudio-pro-2023.09.0-daily-332.pro23-arm64.deb 113 MiB Details RedHat 7 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 133 MiB Details RedHat 7 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 131 MiB Details RedHat 8 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 134 MiB Details RedHat 8 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 132 MiB Details RedHat 9 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 127 MiB Details RedHat 9 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 128 MiB Details RedHat 9 arm64 rstudio-pro-2023.09.0-daily-332.pro23-aarch64.rpm 127 MiB Details OpenSUSE 15 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 120 MiB Details OpenSUSE 15 x86_64 rstudio-pro-2023.09.0-daily-332.pro23-x86_64.rpm 118 MiB Details Windows 10+ (installer-less) x86_64 RStudio-pro-2023.09.0-daily-332.pro23.zip 225 MiB Details Windows 10+ (installer-less) x86_64 RStudio-pro-2023.09.0-daily-332.pro23.zip 243 MiB Details Ubuntu 20 (installer-less) x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64-debian.tar.gz 170 MiB Details Ubuntu 22 (installer-less) x86_64 rstudio-pro-2023.09.0-daily-332.pro23-amd64-debian.tar.gz 171. Learn RStudio today: find your RStudio online course on Udemy. Learn RStudio today: find your RStudio online course on Udemy. New-learner offer

Installing RStudio Dependencies rstudio/rstudio Wiki - GitHub

Daily 2023.09 Desert Sunflower Built on August 16, 2023 () from 87feebc8 This is a daily build of RStudio 2023.09 "Desert Sunflower", a development version of RStudio. It is provided for testing purposes only, and is not recommended for general use. RStudio Desktop Platform Arch Filename Size Permalink Windows 10+ x86_64 RStudio-2023.09.0-daily-338.exe 172 MiB Details MacOS 11+ universal RStudio-2023.09.0-daily-338.dmg 310 MiB Details Ubuntu 20 x86_64 rstudio-2023.09.0-daily-338-amd64.deb 118 MiB Details Ubuntu 20 arm64 rstudio-2023.09.0-daily-338-arm64.deb 112 MiB Details Ubuntu 22 x86_64 rstudio-2023.09.0-daily-338-amd64.deb 119 MiB Details Ubuntu 22 arm64 rstudio-2023.09.0-daily-338-arm64.deb 112 MiB Details RedHat 7 x86_64 rstudio-2023.09.0-daily-338-x86_64.rpm 131 MiB Details RedHat 8 x86_64 rstudio-2023.09.0-daily-338-x86_64.rpm 132 MiB Details RedHat 9 x86_64 rstudio-2023.09.0-daily-338-x86_64.rpm 126 MiB Details RedHat 9 arm64 rstudio-2023.09.0-daily-338-aarch64.rpm 125 MiB Details OpenSUSE 15 x86_64 rstudio-2023.09.0-daily-338-x86_64.rpm 118 MiB Details Windows 10+ (installer-less) x86_64 RStudio-2023.09.0-daily-338.zip 239 MiB Details Ubuntu 20 (installer-less) x86_64 rstudio-2023.09.0-daily-338-amd64-debian.tar.gz 168 MiB Details Ubuntu 20 (installer-less) arm64 rstudio-2023.09.0-daily-338-arm64-debian.tar.gz 168 MiB Details Ubuntu 22 (installer-less) x86_64 rstudio-2023.09.0-daily-338-amd64-debian.tar.gz 169 MiB Details Ubuntu 22 (installer-less) arm64 rstudio-2023.09.0-daily-338-arm64-debian.tar.gz 168 MiB Details RedHat 7 (installer-less) x86_64 rstudio-2023.09.0-daily-338-x86_64-fedora.tar.gz 166 MiB Details RedHat 8 (installer-less) x86_64 rstudio-2023.09.0-daily-338-x86_64-fedora.tar.gz 168 MiB Details RedHat 9 (installer-less) x86_64 rstudio-2023.09.0-daily-338-x86_64-fedora.tar.gz 169 MiB Details RedHat 9 (installer-less) arm64 rstudio-2023.09.0-daily-338-aarch64-fedora.tar.gz 168 MiB Details OpenSUSE 15 (installer-less) x86_64 rstudio-2023.09.0-daily-338-x86_64-fedora.tar.gz 168 MiB Details RStudio Server Platform Arch Filename Size Permalink Ubuntu 20 x86_64 rstudio-server-2023.09.0-daily-338-amd64.deb 82 MiB Details Ubuntu 20 arm64 rstudio-server-2023.09.0-daily-338-arm64.deb 78 MiB Details Ubuntu 22 x86_64 rstudio-server-2023.09.0-daily-338-amd64.deb 82 MiB Details Ubuntu 22 arm64 rstudio-server-2023.09.0-daily-338-arm64.deb 78 MiB Details RedHat 7 x86_64 rstudio-server-rhel-2023.09.0-daily-338-x86_64.rpm 92 MiB Details RedHat 8 x86_64 rstudio-server-rhel-2023.09.0-daily-338-x86_64.rpm 93 MiB Details RedHat 9 x86_64 rstudio-server-rhel-2023.09.0-daily-338-x86_64.rpm 89 MiB Details RedHat 9 arm64 rstudio-server-rhel-2023.09.0-daily-338-aarch64.rpm 88 MiB Details SUSE 15+ x86_64 rstudio-server-2023.09.0-daily-338-x86_64.rpm 82 MiB Details

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User3752

Prompt. Specific help information can be found by entering the specific topic you are looking for information about, e.g., help(sd) for help with standard deviation. Information on contributors to the R project can be obtained by entering contributors() at the prompt. You can find out how to cite R by entering citation() at the prompt. License information for R can be easily obtained by entering license() at the prompt.R is distributed under the terms of the GNU General Public License, either Version 2, June 1991, or Version 3, June 2007. For more information about licensing R, refer to the R Project website.In addition, RStudio provides an excellent Help menu within the GUI. This area includes links to an RStudio cheat sheet (which can be downloaded as a PDF), online learning at RStudio, RStudio documentation, support, and license information.Are you doing data science with R? Let us know how you are using it by leaving a comment below. This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.

2025-04-02
User3969

Menu and click “Check for R Updates” (see image below). If you do that, R will tell you the current version you’re on, and whether or not there is a more updated version that you can download (circled in blue).Alternatively, if you’re in RStudio, you can type and run “sessionInfo()” in the R Console. The first line that the console returns is the version of R that you’re using. You can then download and install the latest version of R here for Mac, and here for Windows.If you’re using a Windows computer, you may need to uninstall R to update it. You can find a quick guide for that here. Another great option for Windows users is to use a package called installr (unfortunately only available for Windows, @Mac users). All you need to do is install “installr”, load up the library, and run the code “updateR()”. This function will check for newer versions and will guide you through the update process.If you want to update to the latest version of RStudio, hover over “Help” on the top menu bar of your Mac, and click “Check for Updates”. Then, quit the RStudio program, go to the RStudio website, and download and install the latest version.Now you should have the latest versions of R and RStudio on your computer. I hope this tutorial was helpful!As a quick note: my “Basics of R” course uses R version 4.0.2 and RStudio version 1.3.959. There shouldn’t be any incompatibility issues if you’re running a slightly different version, but it is usually best to stay up to date with your software!If you liked this post and want to learn more, then check out my online course on the complete basics of R for ecology:Start learning nowAlso be sure to check out R-bloggers for other great tutorials on learning R

2025-04-13
User1566

If you’re opting for SSH, then make sure to copy the SSH URL. Clone the test GitHub repository to your computer via RStudioIn RStudio, start a new Project:File > New Project > Version Control > Git. In “Repository URL”, paste the URL of your new GitHub repository. It will be something like this you NOT see an option to get the Project from Version Control? Restart RStudio and try again. Still no luck? Go to chapter 13 for tips on how to help RStudio find Git.Accept the default project directory name, e.g. myrepo, which coincides with the GitHub repo name.Take charge of – or at least notice! – where the Project will be saved locally. A common rookie mistake is to have no idea where you are saving files or what your working directory is. Pay attention. Be intentional. Personally, I would do this in ~/tmp.I suggest you check “Open in new session”, as that’s what you’ll usually do in real life.Click “Create Project”.You should find yourself in a new local RStudio Project that represents your test repo on GitHub.This should download the README.md file from GitHub.Look in RStudio’s file browser pane for the README.md file. Make local changes, save, commitFrom RStudio, modify the README.md file, e.g., by adding the line “This is a line from RStudio”. Save your changes.Commit these changes to your local repo. How?From RStudio:Click the “Git” tab in upper right pane.Check “Staged” box for README.md.If you’re not already in the Git pop-up, click “Commit”.Type a message in “Commit message”, such as “Commit from RStudio”.Click “Commit”. Push your local changes online to GitHubClick the green “Push” button to send your local changes to GitHub.You should not experience a credential challenge, since one of the pre-requisites was successfully pushing to GitHub from the command line (chapter 11).RStudio’s Git pane just exposes a specific subset of command line Git and therefore once your credentials work in the shell, they should work in RStudio.If you do experience a credential challenge, that suggests you should have a look at the troubleshooting suggestions for your chosen protocol, either HTTPS or SSH. Confirm

2025-04-22
User5688

Skip to content Navigation Menu GitHub Copilot Write better code with AI Security Find and fix vulnerabilities Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes Discussions Collaborate outside of code Code Search Find more, search less Explore Learning Pathways Events & Webinars Ebooks & Whitepapers Customer Stories Partners Executive Insights GitHub Sponsors Fund open source developers The ReadME Project GitHub community articles Enterprise platform AI-powered developer platform Pricing Provide feedback Saved searches Use saved searches to filter your results more quickly /;ref_cta:Sign up;ref_loc:header logged out"}"> Sign up Notifications You must be signed in to change notification settings Fork 24 Star 51 Code Issues Pull requests Actions Projects Security Insights Repository files navigationREADMER programming ebooksBig Book for R, a book which collected R-related programming books.Base RR in Action Data Analysis and Graphics with R, the first book I used to learn RLearning R, suitable for beginners, the second book I used to learn RGetting used to R, RStudio, and R Markdown, free online, provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible researchR cookbook, 2nd Edition, free online, qucik reference manual for common R programming problemsAdvanced R, free online, and the solutions to the exercises in the book is provided in Advanced R solutionsWhat They Forgot to Teach You about R, free online, designed for experienced R and RStudio users who want to (re)design their R lifestyle and will improve your

2025-04-12
User3909

This appendix provides tips for installing RStudio Server for use with Oracle Machine Learning for R on Linux. This appendix includes these topics: About RStudioDescribes RStudio. Install RStudio ServerRStudio Server is a Linux application that provides a web-based interface to R on a server. Install RStudio DesktopRStudio Desktop is an IDE for standalone machines. C.1 About RStudio Describes RStudio. RStudio is a free, open source Integrated Development Environment (IDE) for R. RStudio is available under GNU Affero General Public License (AGPL). You can use RStudio with Oracle Machine Learning for R, however RStudio is not included with OML4R. If you want to use RStudio, you must install and license it separately. C.2 Install RStudio Server RStudio Server is a Linux application that provides a web-based interface to R on a server. To install RStudio Server for use with Oracle Machine Learning for R: Go to the RStudio website and navigate to the RStudio Server Download page. Download the server to your Linux system and follow the installation instructions. Create the file /etc/rstudio/rserver.conf. Add the values of R_HOME and ORACLE_HOME. sudo vi /etc/rstudio/rserver.conf rsession-ld-library-path=R_HOME/lib:ORACLE_HOME/libNote: The default value of R_HOME on Linux is /usr/lib64/R. Create the configuration file /usr/lib64/R/etc/Renviron.site. Supply the values of ORACLE_HOME, ORACLE_HOSTNAME, and ORACLE_SID. For example, using the BASH shell: cd /usr/lib64/R/etcsudo vi Renviron.site ORACLE_HOME=ORACLE_HOME ORACLE_HOSTNAME=ORACLE_HOSTNAME ORACLE_SID=ORACLE_SID Restart the RStudio Server service as sudo or root: sudo rstudio-server restart Refer to the instructions for configuring the server. Return to the RStudio Server Download page, then navigate to the Configuring the Server article in the RStudio documentation. C.3 Install RStudio Desktop RStudio Desktop is an IDE for standalone machines. To install RStudio Desktop: Install R. Go to the RStudio website, navigate to the RStudio Desktop Download page, and download RStudio Desktop. Run the installer and follow the prompts. Click the desktop icon to initialize RStudio.

2025-03-30

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