On Sun, Jul 6, 2008 at 7:46 AM, Martin Henry H. Stevens
<[EMAIL PROTECTED]> wrote:
> Hi John,
> 1. I do not know why you remove the intercept in the lme model, but keep it
> in the aov model.
> 2. The distributional assumptions are shot --- you can't run any sort of
> normal model with these data.
Hi John,
1. I do not know why you remove the intercept in the lme model, but
keep it in the aov model.
2. The distributional assumptions are shot --- you can't run any sort
of normal model with these data. You might consider some sort of
binomial (metabolite detected vs. not detected).
Hank
Hi
As I can't find an example of my data structure I'd like some advice on which
is the most appropriate test for significant effects. If I should be using
either lme or anova, is the relevant example below the best/correct way to do
the test?
The Data...
2 groups of patients (5 in GroupA, 7
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