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Patch 1 #1

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1921d26
Update Tester.m (solve matrix dimension error)
oblancke Nov 20, 2017
d081a40
Update plotAlphaLambda.m to solve boxplot error
oblancke Nov 21, 2017
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15 changes: 7 additions & 8 deletions +PrognosticsMetrics/plotAlphaLambda.m
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Original file line number Diff line number Diff line change
Expand Up @@ -37,9 +37,9 @@

% set up default options
options = struct('boxFill',[.4 .5 .6],'coneFill',[.95 .95 .95],'width',1,...
'timeUnits','s','showResults',1,'xR',-3,'yR',10,'xB',-3,'yB',5,...
'printSummary',0,'FontName','Times','textColor',[0 0 0],'lineColor',[0 0 0],...
'style','tufte','MarkerSize',3,'FontSize',10,'UTParams',[],'completeLegend',0,...
'timeUnits','s','showResults',1,'xR',-0.15,'yR',0.5,'xB',-0.15,'yB',0.9,...
'printSummary',1,'FontName','Times','textColor',[0 0 0],'lineColor',[0 0 0],...
'style','tukey','MarkerSize',3,'FontSize',10,'UTParams',[],'completeLegend',0,...
'name','RUL');

if nargin>3
Expand Down Expand Up @@ -184,21 +184,21 @@
case 'tukey'

% make the box
h = patch([k-width/2 k+width/2 k+width/2 k-width/2],[Q(1) Q(1) Q(3) Q(3)],fillColor);
h = patch([k-width/6 k+width/6 k+width/6 k-width/6],[Q(1) Q(1) Q(3) Q(3)],fillColor);
boxhandles = h;
h = line([k-width/2 k+width/2],[Q(2) Q(2)]);
h = line([k-width/6 k+width/6],[Q(2) Q(2)]);
set(h,'Color',options.lineColor);

% mark the mean
h = line(k,mean(Y));
set(h,'LineStyle','.','Marker','o','Color',options.lineColor,'MarkerFaceColor',options.lineColor);
set(h,'LineStyle','-','Marker','o','Color',options.lineColor,'MarkerFaceColor',options.lineColor);
boxhandles(end+1) = h;

% plot confidence line (whiskers)
h = line([k k],[percentile(Y,.05) percentile(Y,.95)]);
set(h,'Color',options.lineColor);
h = line([k k],[percentile(Y,.05) percentile(Y,.95)]);
set(h,'LineStyle','.','Marker','+','Color',options.lineColor);
set(h,'LineStyle','-','Marker','+','Color',options.lineColor);
boxhandles(end+1) = h;
upperMark = [k percentile(Y,.95)];

Expand Down Expand Up @@ -239,4 +239,3 @@




9 changes: 7 additions & 2 deletions Tester.m
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Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,12 @@
prognosisData.RUL.true=prognosisData.EOL.true - prognosisData.time;
% .RUL.values = (N x t) RUL prediction values at each prediction
% time.
prognosisData.RUL.values=prognosisData.EOL.values - prognosisData.time;
prognosisData.RUL.values=ones(N_sam,Time_Max)
for i = 1:N_sam
for j=1:Time_Max
prognosisData.RUL.values(i,j)=prognosisData.EOL.values(i,j) - prognosisData.time(j);
end
end
% .RUL.weights = (N x t) RUL prediction weights at each prediction
% time.
prognosisData.RUL.weights=prognosisData.EOL.weights;
Expand All @@ -53,4 +58,4 @@

M = computePrognosisMetrics(prognosisData,alphaBeta,sigma);
plotAlphaLambda(prognosisData,alphaBeta(1),alphaBeta(2))
%
%