- Missing Data: Make sure that the data is properly preprocessed and doesn't contain any "NaN" values.
- Within-Subjects Design: Try using a table in the "WithinDesign" argument in "fitrm".
- Factor-levels: You can also verify that the factors have multiple levels.
ranova function output contains only NaN
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I am trying to calculate a ranova with matlab. I defined the model as follows:
WithinFacs = table(confirmatoryTable_alpha_pre_young.hemifield,confirmatoryTable_alpha_pre_young.setsize,'VariableNames',{'hemifield','setsize'});
rm_alpha_pre = fitrm(confirmatoryTable_alpha_pre_young, 'value ~ hemifield*setsize','WithinDesign', [3:4])
ranova(rm_alpha_pre)
However the output keeps looking like this:
Somebody else already had this problem?
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Answers (1)
Shivansh
on 13 Sep 2024 at 13:04
Hi Alenka!
The function "ranova" resulting in only "NaN" values can be due to the following reasons:
Please refer to the following documentation link for more information about "ranova": https://www.mathworks.com/help/stats/repeatedmeasuresmodel.ranova.html.
I hope the above points help in resolving the issue.
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