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The R Project for Statistical Computing
However, you can still download all files associated with the R Tutorial Series. R Tutorial Series. By John M Quick The R Tutorial Series provides a collection of user-friendly tutorials to people who want to learn how to use R for statistical analysis.
R Tutorial Series: R is a free, cross-platform, open-source statistical analysis language and program. It is also an alternative to expensive commercial statistics software such as SPSS. The environment for R differs from the typical point and click interface found in most professional office applications. Although it does take some effort to become familiar with, R ultimately proves to be an affordable, customizable, and expandable statistical analysis solution.
This tutorial intends to quickly and easily bring new users up to speed with R. Only the most basic elements are covered. Detailed statistical analyses and advanced techniques will be covered in future articles.
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Below is a list of the topics to be covered in part one of this tutorial. Feel free to jump to a particular section of interest at any time. Download links for all versions can be found at the official R Project website http: After downloading R, you should install the program as appropriate for your operating system.
In Mac OS X The R Interface The R interface is composed of three main parts. The first is the Console window, which resembles a simple programming interface. This is the default view that loads when R is launched. The Console executes functions and commands, and displays outputs related to those operations.
A second view, called the Quartz window, displays visual information such as graphs, histograms, and plots. It automatically appears when a related command is executed in the console window and can also be manually displayed through the Window menu. Lastly, the Editor window, which resembles a basic word processor, is called when a text file is opened in R.
This is especially useful for looking back at past work done in the Console that can be applied to a new project. Together, the Console, Quartz, and Editor windows compose the R interface. While all are useful components, the vast majority of your time working with R will be spent in the Console window.
Posted by John. R Project , R Tutorial Series , statistics , tutorial.
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Anonymous April 19, at 6: John M. Quick April 19, at 7: Anonymous September 21, at 2: Quick September 21, at 2: Brian September 28, at Nick October 23, at 1: Anonymous December 15, at Quick December 15, at The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
Installing R on a Mac 1: Installing R on Windows 3: Installing R Studio Mac 1: Roger D. Peng, PhD. Jeff Leek, PhD.
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Brian Caffo, PhD. It's a very simple process, it only takes a few steps. So the first thing you need to do is open your web browser and go to CRAN,. So we're going to download the Mac platform here.
Updating R and RStudio
So we can go to Download R for the Mac, you want to download this package file. It might take a few minutes depending on the speed of your internet connection, so. I'll click Continue here and. Hit Continue. So I can just go to my applications folder, which is right here.