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2.2 Step 2: Install RStudio. Visit RStudio’s Website Go to RStudio Download. Download RStudio Click Download under the free RStudio Desktop version. Select the

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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.

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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

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One of the first steps to learning R is to have it downloaded and installed on your computer. In this post I’ll show you how to do that and how to download and install RStudio—a key tool for using R, and how I do all my work and tutorials.If you want to follow along with a video tutorial, you can click on the image below where you can watch the first lesson in my full course on the Basics of R (for ecologists).For starters, R is a free open-source programming language used for organizing, analyzing, and visualizing data. Its versatility is highlighted by the large number of user-created packages that it comes with, which provide useful functions and guides that anyone can use (e.g., found on CRAN). So R is the programming language itself, and it comes with an environment or console that can read and execute your code. You could code in R without using RStudio, as you can see in the image below. That’s what the plain R console looks like; I just loaded up some data, viewed the first few rows, and renamed the columns.By comparison, RStudio is a more versatile IDE, or Integrated Development Environment. Most people who use R also use RStudio because it provides a clean point-and-click dashboard of tools where you can type your code, view your figures, organize your data, variables, and files, as well as viewing the help window. In comparison to RStudio, the basic R IDE/console is extremely basic and doesn’t provide as many accessible tools as RStudio does.If you are installing R and RStudio for the first time:To download R, go here. Choose the download link that corresponds to your computer. I have a Mac, so I clicked that link.You can download RStudio here, and you want to choose “RStudio Desktop”.The important thing when installing R and RStudio is that you need to install R before you install RStudio. If you do it in the reverse order, you will likely run into errors. All you’ll need to do is open the files you downloaded for R and RStudio, and the installation process should begin on its own.For Mac users, there’s also something called XQuartz, which you might not need for basic coding in R, but which might be helpful down the line for running certain packages. You can download XQuartz here. Similarly, if you just open the downloaded file, XQuartz should install on its own.If you want to update R and RStudio:There are a few ways you can check your version of R and see whether or not it needs to be updated. One way is to run the actual R program. There, you can go to the “R”. 2.2 Step 2: Install RStudio. Visit RStudio’s Website Go to RStudio Download. Download RStudio Click Download under the free RStudio Desktop version. Select the 2.2 Step 2: Install RStudio. Visit RStudio’s Website Go to RStudio Download. Download RStudio Click Download under the free RStudio Desktop version. Select the

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Whilst its eminently possible to just use the base installation of R (many people do), we will be using a popular Integrated Development Environment (IDE) called RStudio. RStudio can be thought of as an add-on to R which provides a more user-friendly interface, incorporating the R Console, a script editor and other useful functionality (like R markdown and GitHub integration). You can find more information about RStudio here.RStudio is freely available for Windows, Mac and Linux operating systems and can be downloaded from the RStudio site. You should select the ‘RStudio Desktop’ version. Note: you must install R before you install RStudio (see previous section for details).See this video for step-by-step instructions on how to download and install R and RStudio Windows and Mac usersFor Windows and Mac users you should be presented with the appropriate link for downloading. Click on this link and once downloaded run the installer and follow the instructions. If you don’t see the link then scroll down to the ‘All Installers’ section and choose the link manually. Linux usersFor Linux users scroll down to the ‘All Installers’ section and choose the appropriate link to download the binary for your Linux operating system. RStudio for Ubuntu (and Debian) is available as a *.deb package. The easiest way to install deb files on Ubuntu is by using the gdebi command. If gdebi is not available on your system you can install it by using the following command in the Terminal (you will need root permission to do

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D-Lab's R Data Visualization Workshop This repository contains the materials for D-Lab's R Data Visualization workshop.PrerequisitesPrior experience with R Fundamentals is assumed.Check D-Lab's Learning Pathways to figure out which of our workshops to take!Workshop GoalsIn this workshop, we provide an introduction to data visualization in R. First, we'll cover some basics of visualization theory. Then, we'll explore how to plot data in R using ggplot2. The learning objectives are:Identify instances when visualization helps with analysis and understandingUnderstand the general principles and common pitfalls of data visualizationLearn the ggplot functions for creating data visualizationsWe will cover the following types of plots:histogramsbar chartsbox plotsscatter plotsWe will also explore the basic grammar of ggplot2, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or paneling by groups. Throughout the workshop, we'll discuss the plot types best suited for particular types of data.Basic familiarity with R is assumed. If you are not familiar with material in R Fundamentals, we recommend attending that workshop first.Installation InstructionsWe will use RStudio to go through the workshop materials, which requires installation of both the R language and the RStudio software. Complete the following steps:Download R: Follow the links according to the operating system that you are running. Download the package, and install R onto your compute. You should install the most recent version (at least version 4.0).Download RStudio: Install RStudio Desktop. This should be free. Do this after you have already installed R. The D-Lab strongly recommends an RStudio edition of 2022.02.0+443 "Prairie Trillium" or higher.Download these workshop materials:Click the green "Code" button in the top right of the repository information.Click "Download Zip".Extract this file to a folder on your computer where you can easily access it (we recommend Desktop).Optional: if you're familiar with git, you can instead clone this repository by opening a terminal and entering git clone [email protected]:dlab-berkeley/R-Data-Visualization.git.Run the codeNow that you have all the required software and materials, you need to run the code:Launch the RStudio software.Use the file navigator to find the R-Data-Visualization folder that you downloaded from Github.Double click on the R-Data-Visualization.Rproj file, and click "yes" when RStudio asks you to confirm whether you want to open up the project.Open up the R-Data-Visualization.Rmd file, located in the lessons folder.If you do not have the tidyverse package installed (which includes ggplot2 ), be sure to install it using the install.packages() function in the first code block of the R-Data-Visualization.Rmd file.Run a chunk of code by clicking the green "play" button in the upper right hand corner of each code chunk. Alternatively, place your cursor on a given line and press "Command + Enter" (Mac) or "Control + Enter" (PC) to run an individual line of code.Theere are challenges throughout the workshop.. 2.2 Step 2: Install RStudio. Visit RStudio’s Website Go to RStudio Download. Download RStudio Click Download under the free RStudio Desktop version. Select the 2.2 Step 2: Install RStudio. Visit RStudio’s Website Go to RStudio Download. Download RStudio Click Download under the free RStudio Desktop version. Select the

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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