Calculating and add the std error bar from the mean values
131 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Gadelhag M Omar Mohmed
am 28 Apr. 2022
Bearbeitet: Scott MacKenzie
am 28 Apr. 2022
Hi everyone
I have data vector (named: Mean_data) representing the mean of 6 different treatments. I already plotted this Mean_data as a bar graph, but I would like to add the std error bar on the top of each bar. My question is, how can I calculate the std error bar from the mean that I have already got and plot it on the top of each bar.
here is my code and data.
Mean_data=[20.43 8.61 15.37 2.70 29.09 31.59];
% Create figure
figure('Color',[1 1 1]);
% Create axes
axes1 = axes;
hold(axes1,'on');
% Create bar
bar(Mean_data,'DisplayName','Photosynthesis','FaceColor',[0 0 1],...
'BarWidth',0.4);
% Create ylabel
ylabel('µmol m⁻² s⁻¹','FontSize',15);
% Create title
title({'Average of response to each treatment'});
hold(axes1,'off');
% Set the remaining axes properties
set(axes1,'FontSize',12,'FontWeight','bold','XColor',[0 0 0],'XGrid','on',...
'XTick',[1 2 3 4 5 6],'XTickLabel',...
{'treatment1','treatment2','treatment3','treatment4','treatment5','treatment6'},...
'YColor',[0 0 0],'YGrid','on','ZColor',[0 0 0]);
Thanks in advance
0 Kommentare
Akzeptierte Antwort
Scott MacKenzie
am 28 Apr. 2022
Bearbeitet: Scott MacKenzie
am 28 Apr. 2022
You can't calculate the standard error from the means. You need the raw data. If the raw data (used to calculate the means) are in a matrix M, then the standard error vector is
se = std(M) / sqrt(size(M,1));
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Data Distribution Plots finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!