Hi all,
I have a similar doubt, I've been reading about when to demean or not and when to use the -D option. But I'm a little bit confused.
In my case I want to compare two different groups, adjusting for some covariates (some of them are binary), the design matrix looks something like that:
1 0 284 0 1
1 0 296 1 1
.....
0 1 290 1 0
0 1 293 0 0
Should I use this or should I demean my covariates?
1 0 -9 -0.7 0.4
1 0 1 0.3 0.4
...
0 1 -5 0.3 -0.6
0 1 -2 -0.7 -0.6
From what I read, I think that in this specific case there is no difference to use one of the other, but demeaning is harmless. Am I correct or should I use the demeaned version? I also have to use the -D in the randomise command? Thanks in advance?
Regards,
Manuel
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