multiple comparisons test figure object selection

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Luck Haviland
Luck Haviland 2023-2-16
评论： the cyclist 2023-2-19
Ran in:
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
f=gcf
f.Children.SelectObject=2
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,
Luck

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回答（1 个）

the cyclist
the cyclist 2023-2-16
Ran in:
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.
  2 个评论
Luck Haviland
Luck Haviland 2023-2-19
编辑：Luck Haviland 2023-2-19
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,
Luck
the cyclist
the cyclist 2023-2-19
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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