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\title{Resources Related to the \texttt{mosaic} Package}
\author{Daniel Kaplan\thanks{dtkaplan@gmail.com} \\ \footnotesize Macalester College \\
\footnotesize St. Paul, MN
\and Nicholas J. Horton\thanks{nhorton@amherst.edu} \\ \footnotesize Amherst College \\
\footnotesize Amherst, MA \and 
Randall Pruim\thanks{rpruim@calvin.edu}
\\ \footnotesize Calvin College \\
\footnotesize Grand Rapids, MI
}
\date{\today}
\begin{document}
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\section{Introduction}

This vignette describes related resources and materials useful for teaching
statistics with a focus on modeling and computation.

\section{Package Vignettes}

The \pkg{mosaic} package includes a number of vignettes:
\begin{itemize}
	\item a minimal set of R commands for use in Introductory Statistics and why it is important
		to keep the set of commands small (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V1MinimalR.pdf});
	\item strategies for teaching statistics using R (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V2StartTeaching.pdf});
	\item the R commands needed for all the basic statistical procedures in 
an Intro Stats course (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V3Commands.pdf});
	\item modeling in R (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V4Modeling.pdf}); 
	\item resampling methods in R (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V5Resample.pdf}); and 
	\item using R in calculus (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/V6Calculus.pdf}).
	\item Less Volume, More Creativity, 
  slides from an ICOTS 2014 presentation introducing
  the mosaic package and related tools. (\url{http://cran.r-project.org/web/packages/mosaic/vignettes/LessVolume-MoreCreativity.Rhtml}).
\end{itemize}

\section{Textbook Related}
\begin{description} 
\item[\emph{Statistical Modeling: A Fresh Approach} 
(DT Kaplan, second edition)]
is an introduction to statistics embracing a modeling approach and employing  resampling methods.  
The \pkg{mosaic} package is used throughout 
(\url{http://www.mosaic-web.org/StatisticalModeling}).
\item[\emph{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 \pkg{mosaic} package, but much of
the code originally in the \pkg{fastR} package has been moved 
into the \pkg{mosaic} package.
(\url{http://www.ams.org/publications/authors/books/postpub/amstext-13}).
\item[\emph{The Statistical Sleuth in R} (NJ Horton)]
		available at \url{http://www.amherst.edu/~nhorton/sleuth} 
		describes how to undertake analyses in R for the
		examples in the first 13 chapters of the Third Edition of the
		\emph{Statistical Sleuth: A Course in Methods of Data Analysis} (2013),
		the excellent text by Fred Ramsey and Dan Schafer.
	\item[\emph{Introduction to the Practice of Statistics in R} (NJ Horton)]
		available at \url{http://www.amherst.edu/~nhorton/ips6e}, describes how
		to undertake analyses in R that are introduced as examples in the first
		chapters of the Sixth Edition of \emph{Introduction to the Practice of
		Statistics} (2007), the excellent text by David Moore, George McCabe,
		and Bruce Craig.  
	\item[\emph{Statistics: Unlocking the Power of Data} (Lock, Lock, Lock, Lock, and Lock)] 
		is a introductory statistics textbook that embraces a
			resampling approach.  
Additional information about the book and
			the approach used there can be found at
			\url{http://lock5stat.com}
An annotated companion to the examples in the book implemented using R can be found at \url{https://github.com/rpruim/Lock5withR/blob/master/Lock5withR.pdf}.
			
\end{description}


\section{Articles}
\begin{itemize}
\item GW Cobb, The introductory statistics course: a Ptolemaic curriculum?, 
   \emph{Technology Innovations in Statistics Education}, 2007, 1(1), \url{http://www.escholarship.org/uc/item/6hb3k0nz}.
\item D Nolan and D Temple Lang, Computing in the statistics curricula, 
   \emph{The American Statistician}, 2010, 64(2), \url{http://www.stat.berkeley.edu/~statcur/Preprints/ComputingCurric3.pdf}.
\end{itemize}

\end{document}
