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plotExpGraphSE.m
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plotExpGraphSE.m
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function plotExpGraphSE(experiment_data)
%PLOTEXPGRAPHSE (testWACOW) Plots the graphs with overall data
run(experiment_data);
%% Files and folders
% Folter for storing results
resultsdir = 'results/';
% Base filename
resultsBaseFn = experiment_data;
% Experimente results filename
expFilename = [ resultsdir resultsBaseFn '_data' ];
%%
load (expFilename);
% testresultstable = struct2table(testresults);
% Test: Psi
% Filter: m
% Implicit: Np/Nm
plotBaseFn = [resultsdir resultsBaseFn];
for m = m_v
% filter the table on m
ifx = testresultstable.m==m;
filtered = testresultstable(ifx,:);
% Sort by Implicit and then by Test
[x ix] = sort(filtered.Np);
filtered = filtered(ix,:);
[x ix] = sort(filtered.Psi);
filtered = filtered(ix,:);
% Get the indexes for the plots (unique values for each var)
valstest = unique(filtered.Psi);
valsimpl = unique(filtered.Np);
nvalstest = numel(valstest);
nvalstest = numel(Psi_v);
nvalsimpl = numel(valsimpl);
% Plot location error
% Create the array:
plotdata = reshape(filtered.locerrmax, nvalsimpl,nvalstest);
h = figure;
plot(Psi_v*180/pi,plotdata','*-')
ylim([0 Inf])
title(['location, max error, m=' num2str(m) ', VRT=' num2str(params.validReadingThreshold) ])
ylabel('Max error/m')
xlabel('Psi/deg')
legend(num2str(NmNp(:,1)))
filename = [ plotBaseFn '_LocMaxErr_m_' num2str(m) '.png' ]
print(filename,'-dpng')
% Plot radius error
% Create the array:
plotdata = reshape(filtered.raderrmax, nvalsimpl,nvalstest);
h = figure;
plot(Psi_v*180/pi,plotdata','*-')
ylim([0 Inf])
title(['radius, max error, m=' num2str(m) ', VRT=' num2str(params.validReadingThreshold) ])
ylabel('Max error/m')
xlabel('Psi/deg')
legend(num2str(NmNp(:,1)))
filename = [ plotBaseFn '_RadMaxErr_m_' num2str(m) '.png' ]
print(filename,'-dpng')
end
% Test: m
% Filter: Psi
% Implicit: Np/Nm
if Psi_mode == 2
% Rearrange Psi values
% Psi values are a function of Np. Replace actual values by the ratio
% Psi/Psi_min
% 1. Get the values for corresponding Phi_min
Psi_min = 0.5*acos(cos(pi./(2*testresultstable.Np)).^2);
% 2. Compute the ratio Psi/Psi_min
Psi_ratio = round(testresultstable.Psi ./ Psi_min,2);
% 3. Update table
testresultstable.Psi = Psi_ratio;
end
for Psi = Psi_v
Psi
% filter the table on Psi
ifx = testresultstable.Psi==Psi;
filtered = testresultstable(ifx,:);
% Sort by Implicit and then by Test
[x ix] = sort(filtered.Np);
filtered = filtered(ix,:);
[x ix] = sort(filtered.m);
filtered = filtered(ix,:);
% Get the indexes for the plots (unique values for each var)
valstest = unique(filtered.m);
valsimpl = unique(filtered.Np);
nvalstest = numel(valstest);
nvalsimpl = numel(valsimpl);
% Plot location error
% Create the array:
plotdata = reshape(filtered.locerrmax, nvalsimpl,nvalstest);
h = figure;
plot(m_v,plotdata','*-')
ylim([0 Inf])
title(['location, max error, \Psi=' num2str(Psi*180/pi) ', VRT=' num2str(params.validReadingThreshold) ])
ylabel('Max error/m')
xlabel('m')
legend(num2str(NmNp(:,1)))
filename = [ plotBaseFn '_LocMaxErr_Psi_' num2str(180*Psi/pi) '.png' ]
print(filename,'-dpng')
% Plot radius error
% Create the array:
plotdata = reshape(filtered.raderrmax, nvalsimpl,nvalstest);
h = figure;
plot(m_v,plotdata','*-')
ylim([0 Inf])
title(['radius, max error, \Psi=' num2str(Psi*180/pi) ', VRT=' num2str(params.validReadingThreshold) ])
ylabel('Max error/m')
xlabel('m')
legend(num2str(NmNp(:,1)))
filename = [ plotBaseFn '_RadMaxErr_Psi_' num2str(180*Psi/pi) '.png' ]
print(filename,'-dpng')
end