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
