How to produce a grouped errorbars?
조회 수: 2 (최근 30일)
이전 댓글 표시
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.
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?
댓글 수: 0
채택된 답변
Voss
2022년 3월 28일
편집: Voss
2022년 3월 28일
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);
댓글 수: 3
Voss
2022년 3월 28일
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');
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Errorbars에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!