+1 Wayne Smith, Ph.D. Department of Management CSU Northridge
On 8/13/2012 3:00 AM, [email protected] wrote:
Send R-sig-teaching mailing list submissions to [email protected] To subscribe or unsubscribe via the World Wide Web, visit https://stat.ethz.ch/mailman/listinfo/r-sig-teaching or, via email, send a message with subject or body 'help' to [email protected] You can reach the person managing the list at [email protected] When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-teaching digest..." Today's Topics: 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 <[email protected]> To: Nicholas Horton <[email protected]> Cc: [email protected] Subject: Re: [R-sig-teaching] Illustrating the case studies in the "Statistical Sleuth" using R Message-ID: <cabkcotrll8c54gdkrrz8yvcxgnbzcuz+vjjnpopazgojs61...@mail.gmail.com> Content-Type: text/plain Very useful. Nice work. Best, Manuel 2012/8/9 Nicholas Horton <[email protected]>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 _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
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