Learning Tidymodels

This repository contains R notebooks and data for learning Tidymodels.

Using with renv

R package configuration is handled by renv. To set up packages, start R and setup the snapshotted package configuration as follows:

R
> renv::restore()

Note that packages were installed using https://github.com/r-lib/pak. To install a new package, use

pak::pkg_install("ggplot2")

Using with Docker

Dockerfile describes a docker image based on the rocker/tidyverse version 4.2.2 image from the [https://rocker-project.org/](Rocker Project). To build the image, run

docker build -t learn-tidymodels .

Use the following command to run the container created by the build above:

docker run -e PASSWORD=rstudio --rm -p 8787:8787
--mount src=pwd,target=/home/rstudio/tm,type=bind
learn-tidymodels

which will make the current working directory available in Docker under the directory /home/rstudio/tm.

Access the RStudio web interface by pointing your browser at http://localhost:8787/.

References

• Max Kuhn and Julia Silge. Tidy Modeling with R.
• Thomas Mock. Tidy Tuesday: A weekly data project aimed at the R ecosystem.
• Julia Silge and David Robinson. Text Mining with R: A Tidy Approach.
• Julia Silge. Blog.