# Learn More About ggformula

#### R Pruim

#### 2020-03-04

Want to learn more about ggformula? Here are some places to look.

## mosaic Package Vignettes

The `mosaic` package includes a number of vignettes. These are available

- from within R
- from https://cran.r-project.org/package=mosaic
- from https://projectmosaic.github.io/mosaic/

One of these is a side-by-side comparison of lattice and ggfromula

## Textbook-Related Resources

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.

  - https://bookstore.ams.org/amstext-28
  - www.ams.org/publications/authors/books/postpub/amstext-28

- 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.

  - 9th edition: nhorton.people.amherst.edu/ips9

- 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

  - github.com/rpruim/Lock5withR/

  and the `Lock5withR` R package provides all the data sets used in the text.

  - lock5stat.com

- 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.

  - nhorton.people.amherst.edu/sdm4

- 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.

  - 5th edition: nhorton.people.amherst.edu/is5

- 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.