favstats / ds3_r_intro

Materials for the "Introduction to R Programming" workshop taught at the Hertie School Data Science Summer School (DS3)

Introduction to R Programming

Data Science Summer School (DS3)

This workshop focuses on the very beginnings of a great journey ahead of you: learning how to use and be comfortable with the statistical programming language R.

Together we will explore the basics, from the working environment itself, creating functions for simplifying your tasks, to data management with the tidyverse package.

The overarching goal of the workshop is for you to receive the necessary skill set that will enable you to soon embark on your own data science adventures.

That being said, the most important aspect of the workshop will be to have fun along the way so that your journey can begin as smoothly and easily as possible.

Materials

Here you can find the materials for the R Workshop.

Preperation:

Before starting your adventure, please follow the steps of the pre-workshop preparation guide:

favstats.github.io/ds3_r_intro/prep/instructions.html

It includes detailed instructions to:

1. Install R
2. Install RStudio (make sure you have the latest version!)
3. Download workshop materials
4. Install necessary R packages

Scripts:

The workshop is based on four Rmarkdown scripts (.Rmd):

1. 01_r_basics.Rmd
2. 02_exercises_I.Rmd
   • covers the R basics
3. 03_datamanipulation.Rmd
4. 04_exercises_II.Rmd
   • covers data manipulation with the tidyverse

Slides

• Link to Slides

The slides are knitted with the help of the {xaringan} R package and the source code can be found here.

Alternatives to local RStudio

If you cannot install R or RStudio on your computer for any reason, you have two options to follow along: Binder or Google Colab.

• Simply start a Binder instance which will create a session of RStudio in your Browser (may take a little bit):

Note: If you are using Binder don't forget to download the files before you close out the session because otherwise anything you added will be lost!

• Google Colab (note this is based on an older version of the workshop)

Google Colab instantaneously runs Jupyter Notebooks in your browser with an R Kernel.

• Part I (R Basics)
• Part II (Data Manipulation with the tidyverse)

Further Resources to learn R

• Book: R for Data Science

• Danielle Navarro's YouTube channel

• Start coding using RStudio.cloud Primers

• RStudio Cheat Sheets

• Book: A ModernDive into R and the Tidyverse

• TidyTuesday - Community

Recording 2021 Workshop

Click here for recording on YouTube: