This session will be a bit more technically involved as we’ll be learning how to use C++ code from within R to speed up computationally intensive algorithms. This step is only necessary if you’ll be joining us for the final session on high-performance computing. Then go back and repeat the same process for knitr and rmarkdown. Instead of entering modest into the dialog box, enter pkgkitten. Simply open the program and follow the instructions in this video.
#Downloard r studio for mac video install#
In this step you will need to install the other three packages: pkgKitten, knitr and rmarkdown. Since it’s a bit harder to set up, I’ll discuss it as a separate item below. RcppArmadillo is only needed for our final session on high performance computing. Step 3: Install R Packagesĭuring the workshop we’ll use a number of packages to extend the functionality of R in helpful ways: pkgKitten, knitr, rmarkdown, and RcppArmadillo. RStudio is fairly self-explanatory but if you’ve never done any programming before you may want to take a look at this video by Peter Rossi. Links to the tutorials and solutions are posted here (scroll down to “R Tutorials”). You may also want to take a look at my R Tutorials for Econ 103 at Penn. It’s free and doesn’t require that you have R installed on your machine: you can do everything in a browser window. I recommend starting with the Try R interactive tutorial from O’Reilly’s Code School. If you haven’t, that’s ok too but it might be worth spending a little time familiarizing yourself with R and RStudio before the workshop. If you’ve done a little programming in a language like python or matlab, you should be fine. The first session will be an overview of R and we’re going to do our best to make sure that you can still benefit from the workshop. If you’ve never used R or RStudio before, don’t panic!
If you’re running Linux, we’ll assume you already know what you’re doing ) Step 2: Familiarize Yourself with R and R Studio If you run into any problems, detailed video instructions are available for Mac and Windows on Youtube. In this workshop we’ll interact with R via a front-end called RStudio so that everyone sees the same interface regardless of operating system.Īfter installing R, you can download and install RStudio here. You’ll first need to download and install R from CRAN. Laptop Setup Instructions Step 1: Install R and RStudio This page contains an archive of the material covered in the workshop, along with setup instructions. On November 21-22, 2014, I organized a hands-on R Workshop through the Warren Center featuring Yihui Xie and Dirk Eddelbuettel.
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