Displaying 3 results from an estimated 3 matches for "wassick".
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warwick
2004 Oct 10
3
some help interpreting ANOVA results, please?
...fort/sickness estimate, normalised to 0..1, the session time T
> (normalised to 0..1 and binned in 0.2 wide bins) and a qualitive
> indicator if a given Subject was sick or not. For instance, to see if
> there is an effect of time, I do
>
>
> > summary( aov.SS1( Sickness.norm~WasSick*T.norm.Class + Error(Subject/(WasSick*T.norm.Class)), na.action=na.exclude ) )
> Factor "WasSick", levels: 0 1
> Factor "T.norm.Class", levels: 0 0.2 0.4 0.6 0.8 1
> Sun Oct 10 13:45:45 2004
> WasSick data: 377
> Warning in aov(Sickness.norm ~ WasSick * T.norm....
2004 Jul 13
0
an(other) anova question
...e
1) personal data like age and gender
2) a subjective rating of discomfort/sickness, on a 10-level scale, "sampled" by the subjects as changes occurred. This rating is normalised per subject to the individual maxima given: Sickness.norm .
3) a conclusive, objective rating sick/not-sick. (WasSick)
4) various objective observables, sampled throughout the experiment. These are averaged either per time-interval (of say 2") or per "plateau" of the subjective discomfort rating.
I intend to analyse the averaged observables from (4) (say mean and power/variance) as a function of th...
2006 Aug 02
2
best way to calculate per-parameter differences in across-subject means
Hello,
I have some data in a data.frame where for each of a number of
subjects, I have scores for all of a number of symptoms.
Subjects are subdivided in a number of groups, which have unequal sizes.
I'd like to plot between-group differences in the scores on the
various symptoms. Ideally, that would be in a form as would be
produced by
> bwplot( Score~Symptom )
but I'm not sure