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mosaic-resources.Rmd
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---
title: "Resources Related to the mosaic Package"
author: "Randall Pruim, Daniel T. Kaplan, Nicholas J. Horton"
date: "`r Sys.Date()`"
vignette: >
%\VignetteIndexEntry{Resources Related to the mosaic Package}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
This vignette describes related resources and materials useful for teaching
statistics with a focus on modeling and computation.
## Package Vignettes
The `mosaic` package includes a number of vignettes. These are available
from within R or from
[cran.r-project.org/package=mosaic](http://cran.r-project.org/package=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.
## Project MOSAIC Little Books
The following longer documents are available at
[github.com/ProjectMOSAIC/LittleBooks](https://github.com/ProjectMOSAIC/LittleBooks/blob/master/README.md).
* *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).
## Textbook Related
* *Statistical Modeling: A Fresh Approach* (DT Kaplan, second edition)]
is an introduction to statistics embracing a modeling approach and employing
resampling methods.
The `mosaic` package is used throughout.
* [www.mosaic-web.org/StatisticalModeling](http://www.mosaic-web.org/StatisticalModeling)
* *Foundations and Applications of Statistics: An Introduction Using R* (R Pruim)
is an R-infused probability and mathematical statistics text that emphasizes
connections between probability and statistics. The book predates the `mosaic` package,
but much of the code originally in the `fastR` package has been moved into the `mosaic` package.
* [www.ams.org/publications/authors/books/postpub/amstext-13](http://www.ams.org/publications/authors/books/postpub/amstext-13)
* *The Statistical Sleuth in R* (NJ Horton)
describes how to undertake analyses in R for the
examples in the first 13 chapters of the Third Edition of the
*Statistical Sleuth: A Course in Methods of Data Analysis* (2013),
the excellent text by Fred Ramsey and Dan Schafer.
* [www.amherst.edu/~nhorton/sleuth](http://www.amherst.edu/~nhorton/sleuth)
* *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 the first
chapters of the Sixth Edition of *Introduction to the Practice of
Statistics* (2007), the excellent text by David Moore, George McCabe,
and Bruce Craig.
* [www.amherst.edu/~nhorton/ips6e](http://www.amherst.edu/~nhorton/ips6e)
* *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/](https://github.com/rpruim/Lock5withR/blob/master/README.md)
and the `Lock5withR` R package provides all the data sets used in the text.
Additional information about the book and the approach used there can be found at
* [lock5stat.com](http://lock5stat.com)
* *Introduction to Statistical Investigations* (Tintle *et al*)
is another 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/ISIwithR/](https://github.com/rpruim/ISIwithR/blob/master/README.md)
and the `ISIwithR` R package provides all the data sets used in the text.
Additional information about the book and the approach used there can be found at
* [math.hope.edu/isi/](http://math.hope.edu/isi/)
* [Open Intro Stats](https://www.openintro.org/stat/labs.php)
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.
## Articles
* GW Cobb, "The introductory statistics course: a Ptolemaic curriculum?",
*Technology Innovations in Statistics Education*, 2007, 1(1),
[www.escholarship.org/uc/item/6hb3k0nz](http://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](http://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](http://www.stat.berkeley.edu/~statcur/Preprints/ComputingCurric3.pdf).