Repeated measures ANOVA post hoc testing Bonferroni correction
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Hi, I am using a repeated measures ANOVA, and I would like to use the multcompare function to do Bonferroni correction.
When I use the default Tukey's HSD it works
multcompare(rm,'instruction')
ans =
2×7 table
instruction_1 instruction_2 Difference StdErr pValue Lower Upper
_____________ _____________ __________ _______ ________ _______ ________
1 2 2.0082 0.85855 0.029293 0.22279 3.7937
2 1 -2.0082 0.85855 0.029293 -3.7937 -0.22279
But when I try to use the bonferroni correction it doesn't
multcompare(rm,'instruction',"CriticalValueType","bonferroni")
Error using internal.stats.parseArgs
Invalid parameter name: CriticalValueType.
Error in RepeatedMeasuresModel/multcompare (line 1132)
internal.stats.parseArgs(okargs,defaults,varargin{:});
I'm not sure what the issue with my syntax is- please help!
1 Comment
Rik
on 2 Feb 2023
Well, your original code already results in an error for me. Without your initial code working, it is not possible to say why your second doesn't work.
load carsmall
[p,t,stats] = anova1(MPG,Origin);clc,close all
multcompare(stats,'instruction')
Answers (1)
Koen van der Laan
on 8 Nov 2023
Hello,
I recently experienced the same problem and found a answer. you need to use 'ComparisonType' to set the correction method when using a repeated measures model as input for 'multcompare'.
see this page:
https://nl.mathworks.com/help/stats/repeatedmeasuresmodel.multcompare.html#namevaluepairarguments
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