Nicholas Horton | 18 Jul 19:12 2012

request for computing tasks you use (or avoid) in intro stats

Colleagues,

For the last year, I've been working with Randy Pruim and Danny Kaplan on the "mosaic" package for R and
RStudio to provide a more concise and expressive way for introductory students to undertake statistical
computing in a less painful manner.  You'll have to judge for yourself, of course, whether the result will
work for you and your students.  

As the project moves into its final stages, we're looking for examples --- from you! --- of computing tasks
in your introductory statistics course that you have your students carry out, or things you want your
students to do but don't because they are hard to express in the computer system you use (whether that be R or
something else).  Specific examples of things that you as an instructor or your students found difficult
in R are particularly welcomed.

I'll summarize the findings (and possible solutions) if this elicits responses.

Thanks in advance,

Nick

Nicholas Horton 
Department of Mathematics and Statistics, Smith College
Clark Science Center, Northampton, MA 01063-0001
http://www.math.smith.edu/~nhorton

AbouEl-Makarim Aboueissa | 18 Jul 20:02 2012
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Applied Linear Regression

Dear All:

I am going to teach Applied Regression course (undergraduate/graduate) level(s). I will use the Applied
Linear Statistical Models by Kutner and etal 5th edition. I am planning to use R as the main statistical
package. If someone have power points with R codes, R codes for the examples and some of the exercises of
this book and willing to share, it will be appreciated.

with many thanks
abou

 

 

 
==========================
AbouEl-Makarim Aboueissa, Ph.D.
Associate Professor of Statistics
Graduate Program Coordinator
Department of Mathematics & Statistics
University of Southern Maine
96 Falmouth Street
P.O. Box 9300
Portland, ME 04104-9300
USA

Tel: (207) 228-8389
Fax: (207) 780-5607
Email: aaboueissa <at> usm.maine.edu
          aboueiss <at> yahoo.com
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