[R-sig-teaching] R-sig-teaching Digest, Vol 54, Issue 3

Wayne Smith wayne.smith at csun.edu
Mon Aug 13 18:49:08 CEST 2012


+1

Wayne Smith, Ph.D.
Department of Management
CSU Northridge

On 8/13/2012 3:00 AM, r-sig-teaching-request at r-project.org wrote:
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> Today's Topics:
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>     1. Re: Illustrating the case studies in the "Statistical Sleuth"
>        using R (Manuel Sp?nola)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 12 Aug 2012 09:58:06 -0600
> From: Manuel Sp?nola <mspinola10 at gmail.com>
> To: Nicholas Horton <nhorton at smith.edu>
> Cc: r-sig-teaching at r-project.org
> Subject: Re: [R-sig-teaching] Illustrating the case studies in the
> 	"Statistical Sleuth" using R
> Message-ID:
> 	<CABkCotRLL8C54GDkrrz8yvcxgNbZcUz+vjJNPopaZGoJS61V-g at mail.gmail.com>
> Content-Type: text/plain
>
> Very useful. Nice work.
>
> Best,
>
> Manuel
>
> 2012/8/9 Nicholas Horton <nhorton at 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
>>
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