multiple comparisons test figure object selection

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I have a done a multiple comparisons test using the command multcompare. Say for example I have the following image:
load carsmall
[p,t,stats] = anova1(MPG,Origin);
[c,m,h,gnames] = multcompare(stats);
I want to be able to automatically select which group to highlight blue via code, as I am trying to automatically save my figure with exportfigure.
I suspect the command to highlight the group blue is something like
I am pretty sure I have been able to do it before, but I can't for the life of me remember what command I used, or where I put the code I used before.
I would greatly appreciate any help on this.
Thank you,

Answers (1)

the cyclist
the cyclist on 16 Feb 2023
The only way I could see to do this is to set the control type to "dunnett", and set the control group.
load carsmall
[p,t,stats] = anova1(MPG,Origin);
% Set the desired control group name, and the index will then be found programatically
controlGroup = "Japan";
controlIndex = find(stats.gnames==controlGroup);
[c,m,h,gnames] = multcompare(stats,"CriticalValueType","dunnett","ControlGroup",controlIndex);
I admit that I don't understand why this method relinquishes the ability to interact with the chart to change the control group, or why the error bars on the control group go away.
Luck Haviland
Luck Haviland on 19 Feb 2023
Edited: Luck Haviland on 19 Feb 2023
Thank you for your contribution, the cyclist. While this is interesting, I require the standard deviation bars to stay there for my final pictures, so I cannot accept this as an answer.
My apologies,
the cyclist
the cyclist on 19 Feb 2023
Most of the multcompare code is written in MATLAB (as opposed to being buried in internal C code or whatever), so it is conceivable to me that you could dig into where this is happening, and make your own version. Be careful not to overwrite the original.

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