Changing color in legend for grouped bar graph and Minimizing Concise Code

Currently I have a legend for my bar graph that shows the colors of the Achilles tendon. But I want the legend to show a dark color (black) for Rupture, gray for Tendinopathy, and Light gray for Healthy. How would I do that in MATLAB? Also, if you look at my code you will notice that it is very repetitive since I am editing each bar. I would greatly appreciate any advice on how to minimize this code, maybe by using a for loop?

groups = categorical({'Achilles','LG','MG','Soleus'});
hold on
figure(1)
CSA_graph = bar(groups, avgCSA)
title('Average CSA for Triceps Surae and Achilles Tendon')
xlabel("Tissue Name")
ylabel('Average CSA (mm^2)')
legend('Achilles Rupture','Achilles Tendinopathy','Healthy',Location='west')

for a=1:3
    CSA_graph(a).FaceColor = 'flat';
end
CSA_graph(1).CData(1,:) = [hex2rgb('#556EC1')];
CSA_graph(2).CData(1,:) = [hex2rgb('#648FFF')];
CSA_graph(3).CData(1,:) = [hex2rgb('#9AB6FF')];

CSA_graph(1).CData(2,:) = [hex2rgb('#98295D')];
CSA_graph(2).CData(2,:) = [hex2rgb('#DC267F')];
CSA_graph(3).CData(2,:) = [hex2rgb('#EC87B9')];

CSA_graph(1).CData(3,:) = [hex2rgb('#B9521A')];
CSA_graph(2).CData(3,:) = [hex2rgb('#FE6100')];
CSA_graph(3).CData(3,:) = [hex2rgb('#FE9858')];

CSA_graph(1).CData(4,:) = [hex2rgb('#337E21')];
CSA_graph(2).CData(4,:) = [hex2rgb('#1CC214')];
CSA_graph(3).CData(4,:) = [hex2rgb('#82D97E')];

hold off

[dpb]

@Meghna Raj, it would be helpful if you would attach the data; just "save avgCSA avgCSA" and then attach the .mat file..are the other colors what you want; only changing those for the first set? If so, simply find a color triplet you like and replace the current values with those. Solid black is [0 0 0]; a common light gray is 0.9*[1 1 1]; adjust to whatever level of darkness suits.

You could write the above in a for loop, yes, but you would have to then store the color data in an array by group and condition and index into that array; once you've got the above written unless there are going to be alternate numbers of groups and/or conditions per group, it would hardly seem worth the effort; once you package this in a function that gets called, it's "out of sight, out of mind" and doesn't need anything but to pass it the data array...

Answer 1

[dpb]

MAX=[200, 900, 1200, 2000];     % a max to generate sample data
MIN=[ 50, 600,  900, 1800];     % and a min
for i=1:numel(MAX)
  avgCSA(i,:)=randi([MIN(i) MAX(i)],1,3);
end
groups = categorical({'Achilles','LG','MG','Soleus'});
hold on
figure(1)
CSA_graph = bar(groups, avgCSA);
title('Average CSA for Triceps Surae and Achilles Tendon')
xlabel("Tissue Name")
ylabel('Average CSA (mm^2)')
legend('Achilles Rupture','Achilles Tendinopathy','Healthy',Location='northwest')

%for a=1:3
%    CSA_graph(a).FaceColor = 'flat';
%end
set(CSA_graph,{'FaceColor'},{'flat'});              % can use multiple-handle facility of set

SHADES=[0 0.5 0.9];                                 % define some shades of gray...
CSA_graph(1).CData(1,:) = SHADES(1)*[1 1 1];
CSA_graph(2).CData(1,:) = SHADES(2)*[1 1 1];
CSA_graph(3).CData(1,:) = SHADES(3)*[1 1 1];

CSA_graph(1).CData(2,:) = [hex2rgb('#98295D')];
CSA_graph(2).CData(2,:) = [hex2rgb('#DC267F')];
CSA_graph(3).CData(2,:) = [hex2rgb('#EC87B9')];

CSA_graph(1).CData(3,:) = [hex2rgb('#B9521A')];
CSA_graph(2).CData(3,:) = [hex2rgb('#FE6100')];
CSA_graph(3).CData(3,:) = [hex2rgb('#FE9858')];

CSA_graph(1).CData(4,:) = [hex2rgb('#337E21')];
CSA_graph(2).CData(4,:) = [hex2rgb('#1CC214')];
CSA_graph(3).CData(4,:) = [hex2rgb('#82D97E')];

hold off

[dpb]

As for adding looping for the rest, it just seemed more effort than results gained...