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Installing R on a Mac

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R Programming

Johns Hopkins University

4.6 (14,285 ratings) | 410K Students Enrolled

Course 2 of 10 in the Data Science Specialization

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

Skills You'll Learn

Data Analysis, Debugging, R Programming, Rstudio

Reviews

4.6 (14,285 ratings)

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AK

May 27, 2017

This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.\n\nThis is perhaps the best course on R Programming designed for a small duration.

GB

Feb 03, 2016

Excelente opportunity to learn a lot. The course is very well prepared introduce you to R programing. Dont feel bad if you dont get it at te first moment. It will be a process of leaning worth trying

From the lesson

Week 1: Background, Getting Started, and Nuts & Bolts

This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. 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 Mac1:43

Installing R on Windows3:01

Installing R Studio (Mac)1:36

Writing Code / Setting Your Working Directory (Windows)7:20

Writing Code / Setting Your Working Directory (Mac)7:44

Taught By

Roger D. Peng, PhD
Associate Professor, Biostatistics
Jeff Leek, PhD
Associate Professor, Biostatistics
Brian Caffo, PhD
Professor, Biostatistics

In this video, I'm going to briefly show how you can install R on the Mac.

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,

this is the Comprehensive R Archive Network, and you'll see that there

are a number of options for you to download here for different platforms.

So we're going to download the Mac platform here.

So we can go to Download R for the Mac, you want to download this package file

here, so just click on this and you'll see that the download meter will start going.

It might take a few minutes depending on the speed of your internet connection, so

just be patient.

It's finished downloading.

I'm just going to open up here,

the package, and you can see it will start the installer, and

it will guide you through all of the steps you need to install R.

I'll click Continue here and

this is just the description of what's going to get installed.

Hit Continue.

The software license agreement is the GNU General Public License Version 2, so

you should agree to the license, after having read it, of course.

Then you can just click Install here and you might have to type in your

administrator password, so just go ahead and do that.

It'll start installing the files on your computer.

Now it's finished, I can hit Close, then it will be in my applications folder.

So I can just go to my applications folder, which is right here.

They're in alphabetical order, so I'll just scroll down to R and there it is and

there you have it.

You've installed R on your computer and now you can go ahead,

you can just use it directly, or if you want to, you can install an interface,

like R Studio, if you like.

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