Plot two or more multcompare results vertically in one figure

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

Answer 1

[Aditya]

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

[Abdulllah]

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.