How to produce a grouped errorbars?
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Hi all,
I am trying to produce a grouped errorbars with the attached data.
"Mean' is 5x3 matrix with means and 'std' is the same with standard deviations of those means.
The ouput figure should look like more or less like this, with the exception I should have 5 error bars per group (not 3 like in the image), with diffrent colours for means.
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/943574/image.bmp)
More precisle what I mean, using an example of just one group
figure
subplot(3,3,1)
Group 'Sag'
errorbar(mean(1,1), std(1,1),'-s','MarkerSize',10,...
'MarkerEdgeColor','red','MarkerFaceColor','red', 'LineWidth', 1);
errorbar(mean(2,1), std(2,1),'-s','MarkerSize',10,...
'MarkerEdgeColor','green','MarkerFaceColor','green', 'LineWidth', 1);
errorbar(mean(3,1), std(3,1),'-s','MarkerSize',10,...
'MarkerEdgeColor','black','MarkerFaceColor','black', 'LineWidth', 1);
errorbar(mean(4,1), std(4,1),'-s','MarkerSize',10,...
'MarkerEdgeColor','yellow','MarkerFaceColor','yellow', 'LineWidth', 1);
errorbar(mean(5,1), std(5,1),'-s','MarkerSize',10,...
'MarkerEdgeColor','blue','MarkerFaceColor','blue', 'LineWidth', 1);
Group 'Frnt'
errorbar(mean(1,2), std(1,2),'-s','MarkerSize',10,...
'MarkerEdgeColor','red','MarkerFaceColor','red', 'LineWidth', 1);
etc
Can you help please?
0 件のコメント
採用された回答
Voss
2022 年 3 月 28 日
編集済み: Voss
2022 年 3 月 28 日
Maybe something like this:
load('mean.mat')
load('std.mat')
mean = mean.';
figure();
ax = gca();
hold on
% to be adjusted for different numbers of groups or bars/group:
group_names = {'Sag','Frnt','Tran'};
bar_colors = 'rgkyb';
[n_groups,n_bars] = size(std);
x_min = 0.5;
x_max = n_groups*n_bars+0.5;
y_min = min(mean(:)-std(:));
y_max = max(mean(:)+std(:));
dy = y_max-y_min;
y_min = y_min-0.05*dy;
y_max = y_max+0.05*dy;
% grey shading on top:
p = patch( ...
'Parent',ax, ...
'XData',[x_min x_max x_max x_min], ...
'YData',[0.75 0.75 1 1]*(y_max-y_min)+y_min, ... % not sure exactly where the grey box goes this time
'FaceColor',[0.8 0.8 0.8], ...
'EdgeColor','none');
% line separating axes into 3 parts:
gl = line( ...
'Parent',ax, ...
'XData',[1 1 NaN 2 2]/3*(x_max-x_min)+x_min, ...
'YData',[y_min y_max NaN y_min y_max]);
% error bars:
for ii = 1:n_bars
h = errorbar((0:n_groups-1)*n_bars+ii,mean(:,ii),std(:,ii),'-sk', ...
'MarkerSize',10,...
'MarkerEdgeColor',bar_colors(ii), ...
'MarkerFaceColor',bar_colors(ii), ...
'LineWidth',1, ...
'LineStyle','none');
end
set(ax, ...
'Box','on', ...
'Layer','top', ...
'XLim',[x_min x_max], ...
'YLim',[y_min y_max], ...
'XTick',(n_bars+1)/2+n_bars*(0:n_groups-1), ...
'XTickLabel',group_names);
3 件のコメント
Voss
2022 年 3 月 28 日
Keep each bar as it is created by making h into a vector, then use h in legend() with whatever names you want to call them, and you can use 'Location','best'
load('mean.mat')
load('std.mat')
mean = mean.';
figure();
ax = gca();
hold on
% to be adjusted for different numbers of groups or bars/group:
group_names = {'Sag','Frnt','Tran'};
bar_colors = 'rgkyb';
[n_groups,n_bars] = size(std);
x_min = 0.5;
x_max = n_groups*n_bars+0.5;
y_min = min(mean(:)-std(:));
y_max = max(mean(:)+std(:));
dy = y_max-y_min;
y_min = y_min-0.05*dy;
y_max = y_max+0.05*dy;
% grey shading on top:
p = patch( ...
'Parent',ax, ...
'XData',[x_min x_max x_max x_min], ...
'YData',[0.75 0.75 1 1]*(y_max-y_min)+y_min, ... % not sure exactly where the grey box goes this time
'FaceColor',[0.8 0.8 0.8], ...
'EdgeColor','none');
% line separating axes into 3 parts:
gl = line( ...
'Parent',ax, ...
'XData',[1 1 NaN 2 2]/3*(x_max-x_min)+x_min, ...
'YData',[y_min y_max NaN y_min y_max]);
% error bars:
for ii = 1:n_bars
h(ii) = errorbar((0:n_groups-1)*n_bars+ii,mean(:,ii),std(:,ii),'-sk', ...
'MarkerSize',10,...
'MarkerEdgeColor',bar_colors(ii), ...
'MarkerFaceColor',bar_colors(ii), ...
'LineWidth',1, ...
'LineStyle','none');
end
set(ax, ...
'Box','on', ...
'Layer','top', ...
'XLim',[x_min x_max], ...
'YLim',[y_min y_max], ...
'XTick',(n_bars+1)/2+n_bars*(0:n_groups-1), ...
'XTickLabel',group_names);
legend(h,sprintfc('Bar %d',1:n_bars),'Location','best');
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