A {fun} Intro to R Programming
Pre-Workshop To-Do List
Welcome to the pre-workshop to-do list for the Intro to R Programming workshop
during the Data Science Summer School
(DS3) 2023!
This workshop is taught using R
and RStudio
on your computer. So some minor preparations are necessary for a smooth
experience. They should not take too long for you to complete and
hopefully we can avoid any surprises on the day of the workshop!
Install

First of all, we want to download R. Find below install links depending on your operating system:
Install

Next, please download & install RStudio.
RStudio is a graphical interface in which we can program in R. You can write, save and open R Code within RStudio an it also provides syntax-highlighting, auto-completion & many more conveniences!
VERY IMPORTANT:
Please make sure you have the latest version of RStudio installed.
It should be at least any version more recent than July 2022
(2022.07.0+548
) which can be downloaded
here. We are going to use some brand new features in
RStudio during this workshop, so please make sure you have an updated
version!
💻 Download Workshop files
Please download the workshop files from this Dropbox folder.
The link will download a .zip
file. Extract it to
its own folder:
The contents of the new folder should look like this:
On to the final step!
📦 Install R packages
Finally, we need some R packages. It will be convenient if you already have the necessary R packages installed for the workshop.
Packages are at the heart of R:
R packages are basically a collection of additional R functionalities that you can use.
They contain code that other R users have prepared for the community.
Instructions
- Double-click on the
install.R
file
This will open your RStudio environment with the
install.R
script open.
- Next, click on the
Source
tab which will run all the R code in your script (as opposed toRun
, which will only run the R code you select!).
3. You should see some code running in your console like this:
Let it run and it should be done after a few moments.
Note: If you use Ubuntu Linux then you need to install the
following non-R packages on your computer before you can install the
tidyverse
:
🎉 All Set 🎉
Congratulations!
Now you have everything installed on your computer and the fun can begin! 🎉🎉🎉