I haven't taught from that book in a while, but here are some tips:

1) If the 7th edition is still current, grab the Devore7 package which contains 
many of the data sets (sometimes awkwardly formatted and poorly labeled, but at 
least they are there.)

2) Choose a graphics system.  I recommend lattice, but I really recommend that 
you don't mix and match.  One advantage of lattice is that it teaches the 
formula interface you will want to use for linear models, so students will be a 
step ahead when you get there.

3) If you go with lattice, I suggest you also give the mosaic package a try.  
It adds other functionality via a formula interface (e.g. mean(age ~ sex, 
data=foo) gives mean ages broken down by sex) and simplifies some important 
tasks, like adding a linear model fit to a plot or evaluating the fit at 
specific values of the explanatory variables.

4) You might also take a look at the minimalR vignette in the mosaic package.  
It was designed for a slightly different course, but tries to give a small but 
sufficient set of commands for teaching introductory statistics using lattice 
and mosaic.  I'd encourage you to find or create something like this for your 
students.  (The target audience for the current vignette is really faculty.)

5) Less volume, more creativity.

Try to keep the number of different R commands you teach to a minimum.  Choose 
them wisely and choose tools that play well together.  That makes it easier for 
the students to master the skills they really need.  R often provides several 
ways to skin a cat, but your students only need one way.

Have fun.

---rjp




On Nov 18, 2012, at 9:09 PM, Nguyen Chanh Tu wrote:

> Dear all,
> I am going to teach Probability and Statistics for engineering students. I
> probably use the book "Probability and Statistics for engineeriing and the
> sciences" by J. L. Devore. And I am going to use R for the course.
> This is the first time for me to try to use R. (Before I just use Excel).
> Could you please be so kind to help me for anything concerning to a
> beginner, especially:
> 1) Which packages should I install with the standard  R?
> 2) Can I find some where demo files of teaching or  script files concerning
> to the course.
> 3) If there is any help already had in the forum about these starting
> steps, please point out to me such that I can read more.
> 4) Is there anyone using the same textbook or similar one of mine such that
> we can exchange teaching experients on the course.
> 
> Thank you very much in advances. Looking forward to hearing from you.
> Sincerely,
> Nguyen
> 
>       [[alternative HTML version deleted]]
> 
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