Plotting statistics for a table
2 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Nazar Adamchuk
am 29 Okt. 2021
Beantwortet: Ive J
am 29 Okt. 2021
Hello,
I have a complex table. An excerpt of it I have put into attachment. it has three regions and three variables.
My goal is to be able to plot such kind of grpah:
The blue markers are the maximum values of each variable per region, the green ones - the minimum values of each variable per each region, the black bar - standard deviation.
So far I have:
locmean = varfun(@mean,Local_Mat_Data,...
'InputVariables',...
{'LocFatigLim_MIN', 'LocSlop_MIN', 'LocCycLim_MIN'},...
'GroupingVariables','Region');
locstd = varfun(@std,Local_Mat_Data,...
'InputVariables',...
{'LocFatigLim_MIN', 'LocSlop_MIN', 'LocCycLim_MIN'},...
'GroupingVariables','Region');
locmin = varfun(@min,Local_Mat_Data,...
'InputVariables',...
{'LocFatigLim_MIN', 'LocSlop_MIN', 'LocCycLim_MIN'},...
'GroupingVariables','Region');
locmax = varfun(@max,Local_Mat_Data,...
'InputVariables',...
{'LocFatigLim_MIN', 'LocSlop_MIN', 'LocCycLim_MIN'},...
'GroupingVariables','Region');
Then I have somesow plot all data of this four tables nicely in three plots into the form of the graph that I have provided in the post. Do you have any alegand solution of plotting the graph?
Thanks!
0 Kommentare
Akzeptierte Antwort
Ive J
am 29 Okt. 2021
Try this, but note that your variables are highly skewed, so you should try boxplot or boxchart (median and IQR instead of mean and SD).
tab = load('example.mat').Local_Mat_Data;
t = groupsummary(tab, 'Region', {'mean', 'min', 'max', 'std'});
capsz = 20;
linew = 1.5;
hold on
plot(t.Region, t.mean_LocCycLim_MIN, 'Marker', '_', 'LineStyle', 'none', 'LineWidth', linew, 'Color', 'k', 'MarkerSize', capsz)
plot(t.Region, t.min_LocCycLim_MIN, 'Marker', '_', 'LineStyle', 'none', 'LineWidth', linew, 'Color', 'g', 'MarkerSize', capsz)
plot(t.Region, t.max_LocCycLim_MIN, 'Marker', '_', 'LineStyle', 'none', 'LineWidth', linew, 'Color', 'b', 'MarkerSize', capsz)
errorbar(t.Region, t.mean_LocCycLim_MIN, t.std_LocCycLim_MIN,'.','Color', 'k', 'LineWidth', linew, 'CapSize', capsz)
h = gca;
h.YGrid = 'on';
h.GridAlpha = 0.5;
h.XLim = [min(tab.Region) - 1, max(tab.Region) + 1];
h.XTick = t.Region;
h.XTickLabel = "Region " + h.XTick;
title('LocCycLim_MIN', 'Interpreter', 'none')
h.Box = 'on';
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Graphics Object Identification 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!