On 17 Jan 2000 00:04:42 -0800, [EMAIL PROTECTED] (Donald F.
Burrill) wrote:
> As Bob Hayden has already pointed out, you have interrupted time-series
> data. However, you actually have three diferent such time series, and it
> seems to me that differences between them may be your principal interest.
> Schematically, you have (I think) the following, in temporal order:
>
> 1. Pretest weight (42 readings, averaged)
> 2. 10 weeks of Diet A (or Diet B, or Diet C, in the other two groups)_
> 3. Post-diet weight #1 (42 readings, averaged)
- After the average the 42 readings, which is the righteous thing to
do, you don't have much of a useful time series remaining. Oh, if
these are young puppies or calves, then there would be an overall time
trend which would have to be accounted for. But -- prominently --
here are several sets of Pre-Post.
Three group adaption of a Crossover design?
The sets of 42 readings don't serve as a time series for any
hypothesis that was mentioned, so averaging is the right way to start.
--
Rich Ulrich, [EMAIL PROTECTED]
http://www.pitt.edu/~wpilib/index.html
