> If I understand the use case properly, I think that you can do what
> you want with with an aggregate followed by a few simple compute
> commands: [...]
Thanks!
Werner
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> SORT CASES BY var1 [var2].
> SPLIT FILE LAYERED BY var1 [var2].
>
> T-TEST /TESTVAL=0
> /VARIABLES= dependent variables /MISSING=ANALYSIS
> /CRITERIA=CI(insert your confidence level here, e.g. 0.95).
Very nice, thanks!
> Then you can use the means and the bounds of the confidence
> It seems to be a mixed ANCOVA with a within-subjects factor called
> "Location", a between-subjects factor called "Group" and a covariate
> "Age". I think that the GLM command in PSPP is not able to compute
> such an analysis. GLM can only compute between-subjects designs in
> PSPP (cf. PSPP m
> I just responded to your statements about the relations between CIs
> and hypothesis test that a CI is *not* always associated with a
> hypothesis. The equations I mentioned were only examples for a
> confidence interval and its equivalent hypothesis test. [...]
Thanks a lot to all who have re
Folks,
I would like to get a 95% confidence interval so that I could use it
in AGGREGATE, e.g.,
AGGREGATE OUTFILE * MODE ADDVARIABLES
/BREAK=...
/Mean = mean(V)
/CI = ci(V, 0.95)
What must I do to get the result of my hypothetical `ci' function?
I'm a PSPP novice, so maybe there
