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ranova with two within factors

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Rose Potter
Rose Potter on 15 Jun 2019
Edited: David on 24 Nov 2020
Hello everyone,
I have a question about how to do a repeated measures anova in Matlab. I have data from 20 people who were tested in 4 conditions each: treatment A pre test, treatment A post test, treatment B pre test, treatment B post test. I want to use time and treatment as factors. However I only managed an anova with one factor. Here's what I got so far:
datatable = cell2table(struct2cell([pre.A, pre.B, post.A, post.B]'));
datatable.Properties.VariableNames = {'pre_A','pre_B','post_A','post_B'};
rm = fitrm(datatable, 'pre_A,pre_B,post_A,post_B~1','WithinDesign',[1:4]);
ranovatable = ranova(rm)
How do I introduce the treatment as a second within factor? I read the documentation but did not find anything I could make use of. Thank you so much in advance!

Accepted Answer

Jeff Miller
Jeff Miller on 16 Jun 2019
Edited: Jeff Miller on 24 Nov 2020
datatable.Properties.VariableNames = {'pre_A','pre_B','post_A','post_B'};
% When you have more than one repeated-measures factor, you must set up a table
% to indicate the levels on each factor for each of your different variables.
% Here is the command you need for this case:
WithinStructure = table([1 1 2 2]',[1 2 1 2]','VariableNames',{'PrePost','TreatAB'});
% The 4 different rows of the WithinStructure table correspond to the 4 different
% columns, 'pre_A','pre_B','post_A','post_B', respectively, in your data table.
% Each 'pre_A','pre_B','post_A','post_B' column is coded as 1/2 on the PrePost factor
% and as 1/2 on the TreatAB factor.
% (Added based on later comments:)
% Indicate that the 1's and 2's of WithinStructure are category labels
% rather than regression-type numerical covariates:
WithinStructure.PrePost = categorical(WithinStructure.PrePost);
WithinStructure.TreatAB = categorical(WithinStructure.TreatAB);
% Now pass the WithinStructure table to fitrm so that it knows how the different
% columns correspond to the different levels of the repeated-measures factors.
rm = fitrm(datatable, 'pre_A,pre_B,post_A,post_B~1','WithinDesign',WithinStructure);
% Finally, you need to specify the repeated-measures factors again when you call ranova, like this:
ranovatable = ranova(rm,'WithinModel','PrePost*TreatAB');
Prabhjot Dhami
Prabhjot Dhami on 24 Nov 2020
I ran into the same issue of extremely small p-values, and what Florian Binder suggested seems to be correct. Make sure the appropriate variables in the WithinStructure are categorical. After doing so with my own data, I compared the Matlab output with SPSS, and they were identical.

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