[R] R: r course

Prof Brian Ripley ripley at stats.ox.ac.uk
Wed Oct 13 09:12:15 CEST 2004

`second year statistics students' is rather imprecise, but I will guess
these are undergraduate statistics majors.  However, the book by Nolan &
Speed listed in the R FAQ would seem to be at about that level and is
rather close to your description.

  author =       {Deborah Nolan and Terry Speed},
  title =        {Stat Labs. Mathematical Statistics Through Applications},
  publisher =    {Springer},
  year =         2000,
  address =      {New York},
  ISBN =         "0-387-98974-9",

I've also used examples from 

  author =       {Fred L. Ramsey and Daniel W. Schafer},
  title =        {The Statistical Sleuth. A Course in Methods of Data Analysis},
  publisher =    {Duxbury Press},
  year =         2002,
  edition =      "Second",
  address =      {Belmont, CA},
  ISBN         = "0-534-38670-9",


  author =       {John Fox},
  title =        {A {R} and {S-PLUS} Companion to Applied Regression},
  publisher =    {Sage Publications},
  year =         2002,
  address =      {Thousand Oaks, CA},
  ISBN =         "0-7619-2280-6",

in courses to graduates based on case studies.

It depends what you mean by `R programming', too.  Almost all the 
statistics our third-year students (let alone second-year) know can be 
done by direct calls to existing R code.  (The third years use R as from 
last year, and this allows topics such as robust estimation and smoothing 
to be covered.)

On Wed, 13 Oct 2004, allan clark wrote:

> hi all
> i need some advice. i am a university lecturer and will be teaching a R
> programming course next year. the course will be taught to second year
> statistics students. the aim is to introduce them to programming. the
> emphasis will be on solving real life consulting projects by using R. i
> must still develop the course but if anyone has any suggestions on
> possible content and interesting data sets to explore, please email. if
> any lecturers are offering similar courses could you please send me a
> course outline- some notes if at all possible. references will also be a
> big help. i will appreciate any comments.

Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
University of Oxford,             Tel:  +44 1865 272861 (self)
1 South Parks Road,                     +44 1865 272866 (PA)
Oxford OX1 3TG, UK                Fax:  +44 1865 272595

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