The last link that you need to worry about is the Download link near the top of that window. (Ignore the links in the section labeled 'Source Code for all Platforms.') I have recently switched to a Mac, and all of the steps are almost exactly the same, though I will continue to discuss the Windows version.Īt this point click on 'base,' which will give you: Click on your choice now, and you will see the screen shown below. Because I am writing for a Windows machine, I would click on the Windows link.

In the center top are the links for downloading what you want. On the left are links you might want to use in the future but can ignore for now.

Click on that link and it will take you to the site where you will see something like: You should easily be able to adapt what I say to other environments. I have written this with respect to a Windows machine, though I now use an iMac, but installing R and RStudio on a Mac is virtually the same process. R is available for Windows, Macs, and Unix. However I have done a more complete job here, including screenshots, for those who would like more direction. For many people this page will be far more than they need, because the discussion in the text should probably be sufficient. This document is simply designed to help you download those two programs. You can also download and install RStudio, which is both a very nice editor for R and a graphical user interface that loads R when you start it up and provides a frame for R output and another frame for graphics. If you want to calculate confidence limits on a population proportion, you just download the code that someone else has written, provide the necessary information, such as sample size and sample proportion, and click 'run.'Īs I have said elsewhere, if you can download and install iTunes on your laptop, you can download and install R. The nice thing is that if you want to take the latter course, you will find that someone has been there before you. Alternatively, you can write extensive programs that will do just about anything you want. For this you don't really need to know anything about programming other than editing the program that is there. You can cut and paste programs that I or others have written, make minor edits, and run the program. R is a 'programming environment' that allows you to perform a huge array of statistical (and non-statistical) tasks with very few commands.

Rstudio download for mac