R is a programming language. Anaconda free open source is distributing both Python and R programming language. Anaconda is widely used in the scientific community and data scientist to carry out Machine Learning project or data conda install r. Anaconda will help you to manage all the libraries required for Python, or R. Otherwise, you would need to install them separately. Mac User Step 1 Go to and Download Anaconda for Python 3. By default, Chrome selects the downloading page of your system. In this tutorial, installation is done for Mac. If you run on Windows or Linux, download Anaconda 5. Step 2 You are now ready to install Anaconda. Double-click on the downloaded file to begin the installation. You will be asked to confirm the installation. You are redirected to the Anaconda3 Installer. Step 3 Next window displays the ReadMe. After you are done reading the document, click Continue Step 4 This window shows the Anaconda End User License Agreement. Step 5 You are prompted to agree, click Agree to go to the next step. Step 6 Click Change Install Location to set the location of Anaconda. Select the destination by clicking on Install for me only. It means Anaconda will be accessible only to this user. Step 7 You can install Anaconda now. A message box is prompt. You need to confirm by typing your password. Hit Install Software The installation may take sometimes. It depends on your machine. You can ignore it and hit Continue Step 9 The installation is completed. You can close the window. Install R Mac users Step 1 Anaconda uses the terminal to install libraries. The terminal is a quick way to install libraries. We need to be sure to point the installation toward the right path. We can confirm this by checking anaconda3 folder. It confirms that we installed Anaconda on the right path. As you can see in the figure below, the path of anaconda3 and the working directory are identical. For me, it is Thomas. The terminal will install all the libraries in this working directory. Step 4 We are ready to install R. I recommend you to install all packages and dependencies with the conda command in the terminal. In the terminalconda install r-essentials --yes r-essentials means conda will install R and all the necessary libraries used by data scientist. Conda is downloading the libraries It takes some time to upload all the libraries. In the terminal, you should see Executing transaction: done. If so, you have successfully installed R. You can check where R is located. Install Rstudio Mac User In the terminal, write the following code: In the terminalconda install -c r rstudio --yes In the terminal, you should see Executing transaction: done. If so, you have successfully installed Rstudio. You are all set now, congratulation. Windows User Step 1 Enter command to install R Studio in the Anaconda prompt Step 2 You will be shown a list of packages that will be installed. Enter y Step 3 R Studio will be installed Warning Avoid as much as you can to install a library using pip conda install r Python, and R. Conda libraries gather a lot of packages, you don't need to install libraries outside of conda environment. Run Rstudio Directly run the command line from the terminal to open Rstudio. You open the terminal and write rstudio. You can also use Desktop Shortcut Or A new window will be opened with Rstudio. Test Open Rstudio from the terminal and open a script. You can close Rstudio without saving the files. Install package Install package with anaconda is trivial. You go to your favorite browser, type the name of the library followed by anaconda r. You choose the link that points to anaconda. conda install r You copy and paste the library into the terminal. For instance, we need to install randomForest for the tutorial on random forest; we go. Run conda install -c r r-randomforest --yes from the terminal. Note that Thorough this tutorial, you won't need to install many libraries as the most used libraries came with the r-essential conda library. It includes ggplot for the graph and caret for the machine learning project. Open a library To run the R function randomForestwe need to open the library containing the function. In the Rstudio script, we can write library randomForest In Rstudiolibrary randomForest randomForest 4. Warning: Avoid as much as possible to open unnecessary packages. You might ended up creating conflicts between libraries. Our data will be stored in the Global Environment but no history is recorded. We won't be able to replicate the results once R is closed. We need to write the codes all over again. We can write conda install r many lines of codes as we want. To run the code, we simple select the rows we want to return. We can see the output in the Console. We can save our script and open it later. Our results won't we lost. Warning: In we point the cursor at the second row i. That's, we didn't run the line number 1. Similarly, if we point the cursor to an empty row and click on run, R return an empty output.
