how marginal means (also called least square means) and standard deviation are calculated from repeated measure model? I do not have any "groups" in my data, I only have 76 samples each measured in 6 locations (1 location missing in one sample)
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Mohammed Kamruzzaman
el 10 de Mayo de 2018
Comentada: Mohammed Kamruzzaman
el 11 de Mayo de 2018
I would like to calculate marginal means and std from repeated measure model or directly from raw data. I do not have any group in my data. I have 76 samples and each measured in six different location in the same sample. I would like to see effect of locations and I used repeated measure but I would like to calculate marginal mean and standard deviation of the data from the repeated measure model.
0 comentarios
Respuesta aceptada
Jeff Miller
el 11 de Mayo de 2018
With this model I believe the marginal means and standard deviations for the different locations are simply the raw means and standard deviations of the scores at each of the locations. The model does not seem to include anything other than location that could be adjusted for (e.g., covariates).
6 comentarios
Jeff Miller
el 11 de Mayo de 2018
Look at the value of rm.WithinFactorNames. This is the name of the variable that you shouldo pass to multcompare. Or you could just use this:
multcompare(rm,rm.WithinFactorNames)
Más respuestas (0)
Ver también
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!