Plot two or more multcompare results vertically in one figure

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Abdulllah
Abdulllah 2023-2-27
编辑： Abdulllah 2023-2-27
Hello,
The multcompare test plots the lines horizontaly while the model names on verticle axis. How can I plot the lines vertically and model names on horizontal axis similar to the give figure. Morever, how can I show the results of two(or more) multicopmare tests in one figure (considerint the results as group data).
Any simple example could be used e.g.,
load carsmall % load data
[p,t,stats1] = anova1(MPG,Origin,'off'); %test 1 for group 1
[c,m,h,nms] = multcompare(stats1); %multicompare 1 for group 1
[p,t,stats2] = anova1(MPG+4,Origin,'off'); %test 2 for group 2
[c,m,h,nms] = multcompare(stats2); %multicompare 2 for group 2
However, I need the output similar to the attached figure

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回答（1 个）

Aditya
Aditya 2023-2-27
Ran in:
Hi,
I understand that you want to have the figure rotated.
You can do that programatically using the camroll function.
load carsmall % load data
[p,t,stats1] = anova1(MPG,Origin,'off'); %test 1 for group 1
[c,m,h,nms] = multcompare(stats1); %multicompare 1 for group 1
[p,t,stats2] = anova1(MPG+4,Origin,'off'); %test 2 for group 2
[c,m,h,nms] = multcompare(stats2); %multicompare 2 for group 2
camroll(90)
You can use Rotate 3D Tool of figure for changing orientation in general
For plotting together, there are many strategies. You can try using subplot
load carsmall % load data
[p,t,stats1] = anova1(MPG,Origin,'off'); %test 1 for group 1
camroll(90)
subplot(1,2,1)
[c,m,h,nms] = multcompare(stats1); %multicompare 1 for group 1
[p,t,stats2] = anova1(MPG+4,Origin,'off'); %test 2 for group 2
subplot(1,2,2)
[c,m,h,nms] = multcompare(stats2); %multicompare 2 for group 2
  1 个评论
Abdulllah
Abdulllah 2023-2-27
编辑：Abdulllah 2023-2-27
For this type of graph, 3D creates just mess. It shifts the axis, mixup the text etc. I am looking for a proper solution e.g., similar to group bar charts or group box plots. I wonder why it does not have verticle direction. I am happy the staff has responded me. Is it possible for you to please find some proper solution, since the subplot is also not doing the job similar to what I need (as show in attached figure). Thank you.
p.s. My data is actually different. for each group. If I use the subplot, all the axis are different. I need to use single axis. I can re-set the axis but I have to do many plots so this solution is not convinient.

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