R Studio Tutorial – Installation
What’s new in RStudio 1. Python and Notebooks: Use a shared Python session to execute Python chunks via reticulate Simple bindings to access R objects from Python chunks and vice versa Show matplotlib plots emitted by Python chunks Read the full changelog RStudio is a comprehensive application that features development tools, optimized for R language.
R-3.4.1 for Windows (32/64 bit)
This appendix will show you how to download R as well as RStudio, a software application that makes R easier to use. Both R and RStudio are free and easy to download. The top of the web page provides three links for downloading R.
Follow the link that describes your operating system: Windows, Mac, or Linux. Next, click the first link at the top of the new page. The link downloads an installer program, which installs the most up-to-date version of R for Windows. Run this program and step through the installation wizard that appears. The wizard will install R into your program files folders and place a shortcut in your Start menu. Next, click on the R An installer will download to guide you through the installation process, which is very easy.
The installer lets you customize your installation, but the defaults will be suitable for most users. Binaries Versus Source R can be installed from precompiled binaries or built from source on any operating system. For Windows and Mac machines, installing R from binaries is extremely easy.
The binary comes preloaded in its own installer. For Linux systems, the opposite is true. Precompiled binaries can be found for some systems, but it is much more common to build R from source files when installing on Linux.
The exact installation procedure will vary depending on the Linux system you use. Which should you use? Both versions use bit integers, which means they compute numbers to the same numerical precision.
The difference occurs in the way each version manages memory. This means bit R has a larger memory space to use and search through. As a rule of thumb, bit builds of R are faster than bit builds, though not always. On the other hand, bit builds can handle larger files and data sets with fewer memory management problems. In either version, the maximum allowable vector size tops out at around 2 billion elements.
The Windows and Mac installers will automatically install both versions if your system supports bit R. You use R by writing commands in the R language and asking your computer to interpret them. In the old days, people ran R code in a UNIX terminal window—as if they were hackers in a movie from the s. Now almost everyone uses R with an application called RStudio, and I recommend that you do, too.
R which opens an R interpreter. You can then do your work and close the interpreter by running q when you are finished. I use RStudio throughout the book because it makes using R much easier. That will help me match the book to your personal experience. You can download RStudio for free. The R GUIs Windows and Mac users usually do not program from a terminal window, so the Windows and Mac downloads for R come with a simple program that opens a terminal-like window for you to run R code in.
This is what opens when you click the R icon on your Windows or Mac computer. These programs do a little more than the basic terminal window, but not much. When you open RStudio, a window appears with three panes in it, as in Figure A. The largest pane is a console window.
Everything else you see is unique to RStudio. Hidden in the other panes are a text editor, a graphics window, a debugger, a file manager, and much more.
Figure A. Do I still need to download R?
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Download R Studio and Install
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Follow the steps below with respect to the operating system you are using For Windows: Download the binary setup file for R from the following link.
Watch: Download RStudio
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