post hoc testing Bonferroni correction after a repeated measure ANOVA

Hello, I am trying to multicompare set of data with Bonferroni correction after a repeated measure ANOVA. Here is the code i am using.

M = [1 101.05  39.99 1.10;
    2  216.14  70.14 1.25;
    3   26.53  81.12 1.54;
    4  231.18 135.89 0.89;
    5  140.40  37.21 0.01];

T = array2table(M(:,2:end));
T.Properties.VariableNames = {'A' 'B' 'C'};

withinDesign = table([1 2 3]','VariableNames',{'Condition'});
withinDesign.Condition = categorical(withinDesign.Condition);
rm = fitrm(T,'A-C ~ 1','WithinDesign',withinDesign);
raov = ranova(rm,'WithinModel','Condition');

result = multcompare(rm,'Condition','CriticalValueType','bonferroni')

however, code results follwoing error. Can anyone help me correctly use Bonferroni correction ?.

Error using internal.stats.parseArgs
Invalid parameter name: CriticalValueType.

Error in RepeatedMeasuresModel/multcompare (line 1132)
                internal.stats.parseArgs(okargs,defaults,varargin{:});

Error in new (line 17)
result = multcompare(rm,'Condition','CriticalValueType','bonferroni');

Any help appreciated. Thank you.

[Rik]

Which release are you using? This option may have been added in a later release than you are using.

[Gineesh]

Im using R2020a.

Answer 1

[Rik]

In R2020a, this parameter was called CType, not CriticalValueType. You can find the release-specific documentation page here.