I'll select Windows and then you'll want to choose base, then you'll download and install. However, you can use a cloud version of RSudio and you won't have to download the base R package which I'll show you when we get to downloading the RStudio or posit software. Because those chips did not come with a C++ compiler. Please note that if you have a Mac operating system with the M1 or M2 chip, you may have to download some specialized software to run R and the packages in R. I'm going to choose Iowa State since that's close to Colorado and I have my selection from which to choose for Linux, for the Mac operating system and for Windows. You'll select the country in which you are currently located and we're going to choose a mirror from which to download the base R software. Cran stands for the comprehensive R archive network. We'll first start by installing R, you can download R at And once it's downloaded will double click to install R, once at the R project website, go to download and select Cran. So it's necessary to download and install these free programs. And because RStudio requires R to work, you'll need to install both on your computer. Throughout the course, we'll be using RStudio to import, handle and analyze data.
Know that R is the programming language and RStudio is the user interface. After you have downloaded RStudio, open the downloaded file and follow the on-screen instructions to install it.Let's first get started with installing both R and RStudio also known as posit.Under Installers for ALL Platforms, choose Mac OS X 10.6+.After you have downloaded R, open the downloaded file and follow the on-screen instructions to install it.Click on R-3.1.0-snowleopard.pkg to download the installer.If you have any difficulty while installing the software, bring your laptop to the Help Desk in Clapp Library or email a description of the problem. Both R and RStudio are free and open source. The default interface for R on Macs is usually sufficient, though users who are used to another statistical software program, such as Stata, may prefer the familiar interface of R Studio.
RStudio is a user interface for R that organizes the windows you see while using R.
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