repeted measures MANOVA - MANOVA.RM package

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repeted measures MANOVA - MANOVA.RM package

R help mailing list-2
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

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Re: repeted measures MANOVA - MANOVA.RM package

Bert Gunter-2
From the posting guide (linked below -- please read it):

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and:

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So don't be surprised if you get no useful responses here. You *might* try
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Cheers,
Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Sat, Nov 21, 2020 at 4:12 PM aliciablasit via R-help <
[hidden email]> 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]]
>
> ______________________________________________
> [hidden email] mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

        [[alternative HTML version deleted]]

______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.