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Cheers,
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On Sat, Nov 21, 2020 at 4:12 PM aliciablasit via R-help <
r-help at r-project.org> wrote:
> Dear R-help listers,
>
> I tried to use functions from MANOVA.RM package but without success. In my
> case, I have several independent and dependent variables. Each subject
> corresponds to a single combination of IV (because they are not real
> subjects, but numerical models). For each of them, I have several repeated
> measures, represented by a ?time? column. I want to explain my DV with my
> IV (so MANOVA seems appropriate) and consider the effect of several
> observations at different time (so repeated measures).
>
> Here an example of my dataset:
>
> Subject
>
> Time
>
> IV1
>
> IV2
>
> DV1
>
> DV2
>
> s1
>
> 1
>
> 1
>
> 1
>
> 14.1
>
> s1
>
> 2
>
> 1
>
> 1
>
> 14.2
>
> ?
>
> S2
>
> 1
>
> 1
>
> 2
>
> 13.4
>
> S2
>
> 2
>
> 1
>
> 2
>
> ?
>
> ?
>
> S3
>
> ?
>
> I would like to apply a repeated measures MANOVA: multRM(cbind(DV1,DV2) ~
> IV1*IV2*time, data = data, subject = ?subject?, within = ?time?).
>
> However, due to my dataset nature, I always have only 1 observation for
> every factor-level combination. Hence, I am wondering if repeated measures
> MANOVA is theoretically applicable to my dataset or if another test is
> recommended instead. How should I deal with it?
>
> Thanks in advance,
>
> abt
>
> Sent with [ProtonMail](https://protonmail.com) Secure Email.
> [[alternative HTML version deleted]]
>
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