MATLAB: How to modify Box Plot outliers marker size?? Can I insert a legend

box plotlegendmarker size for outliersmarkersizeMATLABoutliersstatistic analysis

Hello community
I'm working with box plot, I built them using previous post related to the subject.
My main 2 problems here are:
How can I increase the size of the markers for outliers? Because when I'm doing my report is very difficult to see wich one in 'o' or 'x'.
Also, based in this code, how can I add a legend "group 1", "group 2" ?
Here is the code I'm using
clc
clear
load file1
var =file1;
 x1 = var(1:124,1);  
 x2 = var(1:124,2);
 x3 = var(1:124,3);  
 x4 = var(1:124,4);
 x5 = var(1:124,5); 
 x6 = var(1:124,6); 
 x7 = var(1:124,7);   
x11 = var(125:225,1);
 x12 = var(125:225,2); 
x13 = var(125:225,3); 
x14 = var(125:225,4); 
x15 = var(125:225,5);
 x16 = var(125:225,6); 
x17 = var(125:225,7); 
x = [x1;x2;x3;x4;x5;x6;x7];
xx = [x11;x12;x13;x14;x15;x16; x17];
group_1 = [ones(size(x1)); 2*ones(size(x2)); 3*ones(size(x3));4*ones(size(x4)); 5*ones(size(x5)); 6*ones(size(x6)); 7*ones(size(x7))];
group_2 = [ones(size(x11)); 2*ones(size(x12)); 3*ones(size(x13));4*ones(size(x14)); 5*ones(size(x15)); 6*ones(size(x16)); 7*ones(size(x17))]; 
position1 = [2.325 3.325 4.325 5.325 6.325 7.325 8.325 ];
position2 = [2.575 3.575 4.575 5.575 6.575 7.575 8.575];
figure()
boxplot(x,group_1,'color','g','Widths',0.2,'positions',position1,'Symbol','o');
hold on
grid on 
set(gca, 'fontweight', 'bold', 'box', 'on', 'fontsize', 18);
boxplot(xx,group_2,'color','r','Widths',0.2,'positions',position2, 'Symbol','x','Labels',{'0','1','2','3','4','5','6'});
set(findobj(gca,'type','line'),'linew',1.5)
xlabel('Days from Inoculation')
ylabel('Scores PCA 1')
ax = gca;
ax.XRuler.Axle.LineWidth = 2;
ay = gca;
ay.YRuler.Axle.LineWidth = 2;
hold off

Best Answer

I think the following should work for you:
figure
boxplot(randn(1000,2))
h = findobj(gcf,'tag','Outliers')
set(ho,'MarkerSize',24)
Where I have written gcf, you should put your figure. (I was just using the current figure.)
I made the outliers huge, so the change is obvious. You can adjust the size with that parameter I set to 24.
You might have to adjust exactly how you do all this, given different number of boxes, outliers, etc, but you should get the gist.
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