This vignette describes related resources and materials useful for teaching statistics with a focus on modeling and computation.
The mosaic
package includes a number of vignettes. These are available from within R or from cran.r-project.org/web/packages/mosaic/.
Minimal R describes a minimal set of R commands for use in Introductory Statistics and discusses why it is important to keep the set of commands small;
Less Volume, More Creativity, based on slides from an ICOTS 2014 workshop, introduces the mosaic
package and related tools and describes some of the philosophy behind the design choices made in the mosaic
package.
Graphics with with the mosaic package is gallery of plots made using tools from the mosaic
package.
Resampling methods in R demonstrates how to use the mosaic
package to compute p-values for randomization tests and bootstrap confidence intervals in a number of common situations. The examples are based on the ``resamping bake off’’ at USCOTS 2013.
The following longer documents are available at github.com/ProjectMOSAIC/LittleBooks.
Start Teaching Statistics Using R includes some strategies for teaching beginners, and introduction to the mosaic
package, and some additional things that instructors should know about using R.
A Student’s Guide to R provides a brief introduction to the R commands needed for all the basic statistical procedures in an Intro Stats course.
Start R in Calculus highlights features of R and the mosaic
package that can be used to teach calculus with R.
Start Modeling in R (coming soon).
GW Cobb, “The introductory statistics course: a Ptolemaic curriculum?”, Technology Innovations in Statistics Education, 2007, 1(1), www.escholarship.org/uc/item/6hb3k0nz.
NJ Horton, BS Baumer, and H Wickham, “Teaching precursors to data science in introductory and second courses in statistics,” CHANCE, 2015, 28(2):40-50, www.amherst.edu/~nhorton/precursors
D Nolan and D Temple Lang, “Computing in the statistics curricula”, The American Statistician, 2010, 64(2), www.stat.berkeley.edu/~statcur/Preprints/ComputingCurric3.pdf.