How to install #R for your #MachineLearning on #MacOS #Linux, #Windows by @gp_pulipaka. #BigData #DataScience #AI

Mac OS X El Capitan 10.11

This article focuses on installation of both R and RStudio for rich powerful graphics to intertwine with R. This installation was performed on Mac OS X El Capitan 10.11 version. Initial navigation to the website http://cran.r-project.org/ displays a bevy of R distributions for various operating systems such as Linux, Windows, and Mac OS. The initial section in the website points to each distribution. Upon clicking the version for Mac OS X, it leads to a display section of multiple packages available for several versions of Mac OS X version. As of this discussion, the current package version is shown as R 3.2.2 package dubbed Fire Safety for Mac OS X. Downloading the package shows a size of 72.5 MB with file extension .pkg. The first step of the pop up shows Introduction screen with continue button. Upon clicking the continue button a read me section appears with a standard warning, that the version is applicable for Mac OS X Mavericks or higher, in this case Mac OS X El Capitan 10.11. The next section displays EULA for general public distribution.

After accepting the license agreement, a warning pops up that the installation will consume around 158.5 MB space on the computer. Clicking the install button pops up window for Mac OS X administrator password. After entering the password for installation, the total installation time shows as one minute with a progress bar indicator multiple steps and final step shows as scripts packages are currently being run. After a minute a successful message with green indicator shows a successful installation. Navigating to the Mac applications shows R, upon clicking it, an R console Fire Safety is opened prompting commands.

Entering the hyperlink https://www.rstudio.com leads to integrated development environment (IDE) for R. Clicking that link navigates to the next page with multiple options for RStudio for Desktop and RStudio Server. Installers options show option for Mac OS X 64-bit version. Upon clicking, the file is downloaded with a size of 59 MB with .dmg extension. Dragging and dropping the file to Mac applications increment the size to 315 MB. Now, both R and RStudio are available in Mac applications. The installations have been successful on Mac OS X El Capitan.

Ubuntu Linux Desktop 14.04. Desktop

Similar to the Mac OS X, navigating to http://cran.r-project.org/ and choosing the installation for Linux shows multiple options for debian, redhat, suse, and Ubuntu versions. Since I am running Ubuntu Linux 14.04 Desktop on Parallels of Mac OS X, choosing Ubuntu version leads to installation instructions. However, the installation process is different. Running the command sudo apt with option of –get install r-base prompts to configure the package manually. Running another command sudo dpkg with –configure option with –a performed the installation on Ubuntu Linux. However, the packages have to be installed independently for Ubuntu Linux. After, running the sudo apt –get command with install r-base-dev installs all the packages into Ubuntu Linux. Once the installation is confirmed, just running capital R on Linux terminal shows that R is console is working.

Similar to RStudio installation on Mac OS, Linux has the file for Ubuntu. Downloading the file directly shows in Ubuntu Software Center, clicking the installation begins the installation process with progress indicator installing. Administration password is asked for installation and resumes the state of installing. R was installed successfully. I installed RStudio directly from Rstudio.com for Ubuntu Linux 64-bit operating system.

Windows 10

Similar to Mac OS X, Ubuntu Linux installations, navigating to the website http://cran.r-project.org/ will provide the link to Windows. In this case, I’m installing on Windows running on Parallels. The version is R 3.2.2 similar to Mac OS X version number. The downloaded version shows the file size of 62.2 MB. Set up will navigate to complete the installation of R. Following the website RStudio.com will lead to Windows Desktop version installation. The download shows a file size of 73.9 MB.

References

R (2015). The Comprehensive R Archive Network. Retrieved November 5, 2015, from https://cran.r-project.org/

RStudio (2015). RStudio. Retrieved November 5, 2015, from https://www.rstudio.com/