Very useful. Nice work.

Best,

Manuel

2012/8/9 Nicholas Horton <nhorton@smith.edu>

> My summer students and I have created a series of files to help describe
> how to undertake analyses introduced as examples in the Second Edition of
> the Statistical Sleuth: A Course in Methods of Data Analysis (2002), the
> excellent text by Fred Ramsey and Dan Schafer.  If you are using this book,
> or would like to see straightforward ways to undertake analyses in R for
> intro and intermediate statistics courses, these may be of interest.
>
> These files can be found at http://www.math.smith.edu/~nhorton/sleuth
>
> We have include both formatted pdf files as well as the original knitr
> files which were used to generate the output. Knitr is an elegant, flexible
> and fast means to undertake reproducible analysis and dynamic report
> generation within R and RStudio.
>
> This work leverages efforts undertaken by Project MOSAIC, an NSF-funded
> initiative to improve the teaching of statistics, calculus, science and
> computing in the undergraduate curriculum. In particular, we utilize the
> mosaic package, which was written to simplify the use of R for introductory
> statistics courses. More information can be found at
> http://www.mosaic-web.org.
>
> We've generated these illustrated analyses for chapters 1-6 plus 9-11 and
> 13, with more chapters to come.  Comments, suggestions and corrections
> welcomed.
>
> Best wishes for the balance of the summer,
>
> Nick
>
> Nicholas Horton
> Department of Mathematics and Statistics, Smith College
> Clark Science Center, Northampton, MA 01063-0001
> http://www.math.smith.edu/~nhorton
>
> _______________________________________________
> R-sig-teaching@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
>



-- 
*Manuel Spínola, Ph.D.*
Instituto Internacional en Conservación y Manejo de Vida Silvestre
Universidad Nacional
Apartado 1350-3000
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COSTA RICA
mspinola@una.ac.cr
mspinola10@gmail.com
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Personal website: Lobito de río <https://sites.google.com/site/lobitoderio/>
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