R+RStudio in Container - Aiming at Statistics for data scientists

This container/repository gets you started with R+RStudio without having to do "as much" heavy lifting. This environment includes:

• Basic Environment for the use in the LABs
• Code associated with the book "Practical Statistics for Data Scientists: 50 Essential Concepts"
• Some Datasets based on the Book "Practical Statistics for Data Scientists: 50 Essential Concepts" and openintro
• renv to ensure your packages are "in sync"
• tidyverse to create consistent grammar around opinioated opackages

Installation from Docker

You need to install Docker first for your platform. Then the following command pulls the latest version of this repository in for you.

docker pull g4challenge/statistics-for-data-scientists:latest
# or 
docker pull docker.pkg.github.com/g4challenge/statistics-for-data-scientists/rstudio:latest

Attention: Alternatively use at the end 0.1 or another version string, to fixate the version

Start Docker

This starts the Docker container for you and makes it available at http://localhost:8787

• use "rstudio" as user and "12345" as password unless you change the password to something else (recommended).

Disclaimer: the password is visible in your terminal history and should therefore be different from other passwords and you should check that your system does not listen "publicly" on it's IP-address - use a firewall or configure it.

This command also "mounts" the current directory and lets you edit your local files and projects. I recommend you to use another git client (external of Docker).

docker run -e PASSWORD=12345 -v %cd%:/home/rstudio -p 8787:8787 docker.pkg.github.com/g4challenge/statistics-for-data-scientists/rstudio:0.1
docker run -e PASSWORD=12345 -v $(pwd):/home/rstudio -p 8787:8787 docker.pkg.github.com/g4challenge/statistics-for-data-scientists/rstudio:0.1

Using RStudio

After Accessing localhost:8787 login with the provided details above.

make sure to open the project and restore the renv locally

renv::restore()

After this you can either use the integrated package or start with your own project.

Learning

Get Started by using the "learnr"-Tutorials.

• Option 1: UN-Votes
• Option 2: Covid-19

Exercises

You can copy in the exercises and start editing right away.

Installation from Github

install.packages(remotes)
remotes::install_github("g4challenge/statistics-for-data-scientists")