Equivalent of covariance pattern model with a heterogeneous compound symmetric

Hi Ben,

The example I am trying to construct is a 3 x 2 x 3 within-subject design.
I have the following column in my data set
 trial 1:18, Bodysite with 3 levels, Strength with 2 levels,  Pattern with 3 levels, and subject id.
I am interested in SC_slope as a DV.

I just contracted the following but I am not sure if I followed your example correctly. Is this correct?


comsym <- gls(SC_slope~Bodysite+Pattern+Strength,data = df.na.removed.,
                   correlation=corCompSymm(form = ~ trial |id), method="REML", na.action = na.omit,
              weights = varIdent (form = ~1 | trial))

summary(comsym)

Thank you again!
Paris

Hi Pardis,

Four say 4 occasions you could use:

HCS.gls <- gls (read ~ 1+occ2+occ3+occ4, data=DA68, method="REML",

correlation = corCompSymm(form = ~ occasion|id ),

weights = varIdent (form = ~1 | occasion) )



Best regards, Ben.

Hi everyone,

I am trying to figure out how to replicate the results I've gotten from SPSS when using the Repeated Covariance Type : Compound Symmetry: Heterogeneous.  Can anyone help me figure this out?
So far I know the following does't produce the same results.

comsym <- gls(SC_slope~Bodysite+Pattern+Strength,data = df.na.removed.,
                    correlation=corCompSymm(form = ~ 1 |id), method="REML", na.action = na.omit)

summary(comsym)


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