Several text books either use ggformula or have accompanying documentation that demonstrate how to use ggformula.

*Foundations and Applications of Statistics: An Introduction Using R* (R Pruim, second edition) is an R-infused probability and mathematical statistics text that emphasizes connections between probability and statistics. The first edition of the book predates the `ggformula`

package, but the the second edition is supported by the `fastR2`

package and uses `ggformula`

for plotting.
*Introduction to the Practice of Statistics in R* (NJ Horton and BS Baumer) describes how to undertake analyses in R that are introduced as examples in *Introduction to the Practice of Statistics*, by David Moore, George McCabe, and Bruce Craig.

*Statistics: Unlocking the Power of Data* (Lock, Lock, Lock, Lock, and Lock) is an introductory statistics textbook that embraces a resampling approach.

An annotated companion to the examples in the book implemented using R can be found at

and the `Lock5withR`

R package provides all the data sets used in the text.

*Stats: Data and Models* (NJ Horton) describes how to undertake analyses in R for the examples in the Fourth Edition of *Stats: Data and Models* (2015), by Dick De Veaux, Paul Velleman, and Dave Bock.

*Intro Stats* (P Frenett and NJ Horton) describes how to undertake analyses in R for the examples in the Fifth Edition of *Intro Stats* (2013), by Dick De Veaux, Paul Velleman, and Dave Bock.

Open Intro Stats

OpenIntro Stats now has versions of their labs designed for use with the `mosaic`

package.

The `mosaic`

labs were adapted by Ben Baumer and Galen Long of Smith College and updated to `ggformula`

by Bonnie Lin and Nicholas Horton of Amherst College.