Getting started with R

R is an open-source statistical package that is widely used in academia, research and industry. R Studio provides a nice interface for R and provides some very useful functionality.

You will be coding in R/R Studio and interpreting R code and output in this course. So, the purpose of the learnR Modules you will be working with this term is to give you experience with R code that may come in handy as you are working with data. We will be using the University of Toronto JupyterHub to access the R/R Studio environment. To access R Studio on JupyterHub, use your UTORid and password to login at https://r.datatools.utoronto.ca/. Alternatively, if you wish to install R (and RStudio) on your own machine, R is freely available for download at http://cran.r-project.org/ for Windows, MacOS, and Linux operating systems and RStudio is available at https://posit.co/downloads/.

This activity can be done in your browser, as you go through each of the chunks. You do not need to download R/R Studio or use JupyterHub for this activity.

In this module we will be going over:

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