anovaBF dataset

Matin

Hello, I am currently doing a 3-factor BF ANOVA by anovaBF() in r, and I have some questions about the data I should feed to the function:

1) My raw dataset has a DV, and 5 within factors (A,B,C,D,E), a between factor (F) and id variable (subjID):

data=my_data

2) I know when I compute conventional ANOVA, I should aggregate the conditional means first, and for example:

aov_car(DV ~ A*B*C+ Error(subjID/A*B), fun=mean, data=my_data)

3）So for anovaBF, do I need to aggregate the data to conditional means first, or I should feed the whole data to the function?

option 1:

bayesfactor_inclusion(anovaBF(DV~ A*B*C+ subjID, whichRandom="subjID", data=aggregate(DV~ A*B*C*subjID, mean, na.rm=T, data=my_data)), match_models =T)

option 2:

bayesfactor_inclusion(anovaBF(DV~ A*B*C+ subjID, whichRandom="subjID", data=data=my_data), match_models =T)

Thank you in advance!

Matin

EJ

I've attended Richard to your question!

Cheers,

E.J.

Matin

Thank you! Looking forward the reply!

EJ

If you don't hear anything please feel free to contact him directly

Matin

Hello, I still haven't heard anything.