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Included the option for removing outliers and indicate the confidence interval as a shaded region.

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Karthik 2021-07-11 06:05:24 +02:00
parent 2743854bb9
commit 271b180d27
1 changed files with 30 additions and 2 deletions
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30
MOT Capture Process Simulation/+Plotting/plotResultForOneParameterScan.m
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@ -10,7 +10,10 @@ function plotResultForOneParameterScan(XParameter, YQuantity, varargin)
addParameter(p, 'XLabelString', 'X parameter', @ischar) addParameter(p, 'XLabelString', 'X parameter', @ischar)
addParameter(p, 'ErrorsForYQuantity', false, @islogical) addParameter(p, 'ErrorsForYQuantity', false, @islogical)
addParameter(p, 'ErrorsArray', [], @isvector) addParameter(p, 'ErrorsArray', [], @isvector)
addParameter(p, 'CIForYQuantity', false, @islogical)
addParameter(p, 'CIArray', [], @ismatrix)
addParameter(p, 'RescalingFactorForYQuantity', 1, @isscalar) addParameter(p, 'RescalingFactorForYQuantity', 1, @isscalar)
addParameter(p, 'RemoveOutliers', false, @islogical)
addParameter(p, 'YLabelString', 'Y parameter', @ischar) addParameter(p, 'YLabelString', 'Y parameter', @ischar)
addParameter(p, 'TitleString', 'One-Parameter Scan', @ischar) addParameter(p, 'TitleString', 'One-Parameter Scan', @ischar)
@ -22,7 +25,10 @@ function plotResultForOneParameterScan(XParameter, YQuantity, varargin)
YQuantity = p.Results.QuantityOfInterestArray; YQuantity = p.Results.QuantityOfInterestArray;
ErrorsForYQuantity = p.Results.ErrorsForYQuantity; ErrorsForYQuantity = p.Results.ErrorsForYQuantity;
ErrorsArray = p.Results.ErrorsArray; ErrorsArray = p.Results.ErrorsArray;
CIForYQuantity = p.Results.CIForYQuantity;
CIArray = p.Results.CIArray;
RescalingFactorForYQuantity = p.Results.RescalingFactorForYQuantity; RescalingFactorForYQuantity = p.Results.RescalingFactorForYQuantity;
RemoveOutliers = p.Results.RemoveOutliers;
YLabelString = p.Results.YLabelString; YLabelString = p.Results.YLabelString;
TitleString = p.Results.TitleString; TitleString = p.Results.TitleString;
@ -39,16 +45,37 @@ function plotResultForOneParameterScan(XParameter, YQuantity, varargin)
screensize = get(0,'ScreenSize'); screensize = get(0,'ScreenSize');
f_h.Position = [[screensize(3)/3.5 screensize(4)/3.5] 750 600]; f_h.Position = [[screensize(3)/3.5 screensize(4)/3.5] 750 600];
if RemoveOutliers
[YQuantity,TF] = rmoutliers(YQuantity);
XParameter = XParameter(~TF);
ErrorsArray = ErrorsArray(~TF);
ClippedCIArray(:,1) = CIArray(~TF,1);
ClippedCIArray(:,2) = CIArray(~TF,2);
CIArray = ClippedCIArray;
end
RescaledXParameter = XParameter .* RescalingFactorForXParameter; RescaledXParameter = XParameter .* RescalingFactorForXParameter;
RescaledYQuantity = YQuantity .* RescalingFactorForYQuantity; RescaledYQuantity = YQuantity .* RescalingFactorForYQuantity;
hold on
if ErrorsForYQuantity if ErrorsForYQuantity
RescaledErrorsArray = ErrorsArray .* RescalingFactorForYQuantity; RescaledErrorsArray = ErrorsArray .* RescalingFactorForYQuantity;
errorbar(RescaledXParameter, RescaledYQuantity, RescaledErrorsArray) errorbar(RescaledXParameter, RescaledYQuantity, RescaledErrorsArray, 'o', 'Linewidth', 1.5, 'MarkerFaceColor', '#0071BB')
else else
plot(RescaledXParameter, RescaledYQuantity, '--o', 'Linewidth', 1.5); plot(RescaledXParameter, RescaledYQuantity, '--o', 'Linewidth', 1.5);
end end
if CIForYQuantity
RescaledCIArray = CIArray .* RescalingFactorForYQuantity;
Plotting.plotConfidenceIntervalRegion(RescaledXParameter, RescaledCIArray(:,1), RescaledCIArray(:,2));
end
hold off
xlim([0 inf])
ylim([0 inf])
hXLabel = xlabel(XLabelString); hXLabel = xlabel(XLabelString);
hYLabel = ylabel(YLabelString); hYLabel = ylabel(YLabelString);
hTitle = sgtitle(TitleString); hTitle = sgtitle(TitleString);
@ -58,5 +85,6 @@ function plotResultForOneParameterScan(XParameter, YQuantity, varargin)
set( hTitle , ... set( hTitle , ...
'FontSize' , 18 ); 'FontSize' , 18 );
grid on
Helper.bringFiguresWithTagInForeground(); Helper.bringFiguresWithTagInForeground();
end end