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publishReport_two.m
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%% Create folder for the report
colorscheme = jet(length(valoresIActual(1,:)));
createFolder = [folderOutput,'/Report/'];
mkdir(createFolder);
%fid = fopen(fileReport, 'w+' );
%disp(' ');
%str = 'Name of the experiment \n ';
%experimentName = input(str,'s');
experimentName = (OutputFolder);
if isempty(experimentName)
experimentName = 'Experiment 1';
end
%%
set(gcf,'Visible','off');
fig = figure('visible', 'off');
for i=1:length(curvesFinal)
fig = semilogy(valoresS(1:pointsAbs,1),matrizInput(i,1:pointsAbs)','Color',colorscheme(i,:));
hold on;
end
title('Matriz input (Absolute values) in semilogarithmic scale');
fileFig = [folderOutput, '/Report/datasetSemilog.svg'];
saveas(fig, fileFig);
fig = figure('visible', 'off');
for i=1:length(curvesFinal)
fig = plot(valoresS(1:pointsHoltzer,1),matrizHoltzer(i,1:pointsHoltzer)','Color',colorscheme(i,:));
hold on;
end
title('Matriz input (Holtzer values)');
fileFig = [folderOutput, '/Report/datasetHoltzer.svg'];
saveas(fig, fileFig);
fig = figure('visible', 'off');
for i=1:length(curvesFinal)
fig = plot(valoresS(1:pointsKratky,1),matrizKratky(i,1:pointsKratky)','Color',colorscheme(i,:));
hold on;
end
title('Matriz input (Kratky values)');
fileFig = [folderOutput, '/Report/datasetKratky.svg'];
saveas(fig, fileFig);
fig = figure('visible', 'off');
for i=1:length(curvesFinal)
fig = plot(valoresS(1:pointsPorod,1),matrizPorod(i,1:pointsPorod)','Color',colorscheme(i,:));
hold on;
end
title('Matriz input (Porod values)');
fileFig = [folderOutput, '/Report/datasetPorod.svg'];
saveas(fig, fileFig);
fig = figure('visible', 'off');
fig = bar(eigenvalues(1:8,1));
title('Eigenvalues');
text(9,eigenvalues(1,1), num2str(eigenvalues(1:10,:)),'HorizontalAlignment','left','VerticalAlignment','baseline');
fileFig = [folderOutput, '/Report/eigenvalues.svg'];
saveas(fig, fileFig);
% Plot eigenvectors
figure();
subplot(5,1,1);
title('Eigenvectors');
for i= 1:5
subplot(5,1,i);
plot(eigenvectors(:,i));
end
subplot(5,1,1);
title('Eigenvectors');
fileFig = [folderOutput, '/Report/eigenvectors.svg'];
fig = gcf;
saveas(fig, fileFig);
close all;
%%
createFile = [createFolder,'style.css'];
copyfile('C:\Users\aamin\Downloads\Compressed\COSMiCS2021-main\style.css', createFile);
fileReport = [createFolder,'report.html'];
fid = fopen(fileReport, 'w+' );
fprintf( fid, '<!DOCTYPE html>');fprintf(fid, '\n');
fprintf( fid, '<html><head>');fprintf(fid, '\n');
fprintf( fid, '<link href=''http://fonts.googleapis.com/css?family=Roboto:400,300,100,500'' rel=''stylesheet'' type=''text/css''>');fprintf(fid, '\n');
fprintf( fid, '<link href=''http://fonts.googleapis.com/css?family=Roboto+Slab:400,300,100,500'' rel=''stylesheet'' type=''text/css''>');fprintf(fid, '\n');
fprintf( fid,'<link rel="stylesheet" href="style.css">');fprintf(fid, '\n');
fprintf( fid, '</head>');fprintf(fid, '\n');
fprintf( fid, '<body>');fprintf(fid, '\n');
fprintf( fid, '<header id="fh5co-header" role="banner">');fprintf(fid, '\n');
fprintf( fid, ' <nav class="navbar navbar-default" role="navigation">');fprintf(fid, '\n');
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1">');fprintf(fid, '\n');
fprintf( fid, ' <div class="navbar-header"> ');fprintf(fid, '\n');
fprintf( fid, ' <a href="file:///Users/shelkie/Desktop/index2.html#" class="js-fh5co-nav-toggle fh5co-nav-toggle visible-xs-block" data-toggle="collapse" data-target="#fh5co-navbar" aria-expanded="false" aria-controls="navbar"><i></i></a>');fprintf(fid, '\n');
fprintf( fid, ' <a class="navbar-brand" href="https://www.ncbi.nlm.nih.gov/pubmed/27889205" target="_blank">COSMiCS</a>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' <div id="fh5co-navbar" class="navbar-collapse collapse">');fprintf(fid, '\n');
fprintf( fid, ' <ul class="nav navbar-nav navbar-right">');fprintf(fid, '\n');
fprintf( fid, ' <li class="active"><a href="#dataInfo"><span>Data info <span class="border"></span></span></a></li>');fprintf(fid, '\n');
fprintf( fid, ' <li><a href="#analysisOptions"><span>Analysis options <span class="border"></span></span></a></li>');fprintf(fid, '\n');
fprintf( fid, ' <li><a href="#PCA"><span>PCA <span class="border"></span></span></a></li>');fprintf(fid, '\n');
fprintf( fid, ' <li><a href="#Results"><span>Results <span class="border"></span></span></a></li>');fprintf(fid, '\n');
fprintf( fid, ' </ul>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </nav>');fprintf(fid, '\n');
fprintf( fid, ' </header>');fprintf(fid, '\n');
fprintf( fid, '<div id="fh5co-main">');fprintf(fid, '\n');
fprintf( fid, ' <div class="fh5co-intro text-center">');fprintf(fid, '\n');
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-8 col-md-offset-2">');fprintf(fid, '\n');
fprintf( fid, ' <h1 class="intro-lead"> %s </h1>', experimentName );fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
% Seccion: Data information
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-3 animate-box">');fprintf(fid, '\n');
fprintf( fid, ' <a name="dataInfo"></a>');fprintf(fid, '\n');
fprintf( fid, ' <h3>Data information</h3>');fprintf(fid, '\n');
%fprintf( fid, ' <p>Data information about the dataset, folder of the input data and name of the files</p>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-9">');fprintf(fid, '\n');
% Aqui va la informacion de la seccion Data information
fprintf( fid, ' <p class="animate-box"><b>Input folder: </b> %s </p>', OutputFolder);fprintf(fid, '\n');
fprintf( fid, ' <p class="animate-box"><b>Output folder: </b> %s </p>', folderOutput);fprintf(fid, '\n');
fprintf( fid, '<br>');
fprintf( fid, ' <p class="animate-box"><b>LIST OF FILES: </b> </p>');
for i=1:length(OutFiles)
fprintf(fid, 'Curve %s - %s',num2str(i), OutFiles(i).name);
fprintf(fid, '<br>');
end
fprintf( fid, ' <br><p class="animate-box"><b>Total files: </b> %d </p>', curvasTotales);fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="datasetSemilog.svg" alt="Dataset semilogaritmic scale">');fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="datasetHoltzer.svg" alt="Dataset Holtzer scale">');fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="datasetKratky.svg" alt="Dataset Kratky scale">');fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="datasetPorod.svg" alt="Dataset Porod scale">');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
colorscheme = jet(length(curvesFinal));
fprintf( fid, '<br>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
% Seccion: Analysis options
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-3 animate-box">');fprintf(fid, '\n');
fprintf( fid, ' <a name="analysisOptions"></a>');fprintf(fid, '\n');
fprintf( fid, ' <h3>Analysis options</h3>');fprintf(fid, '\n');
%fprintf( fid, ' <p>Data information about the dataset, folder of the input data and name of the files</p>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-9">');fprintf(fid, '\n');
% Aqui va la informacion de la seccion Analysis options
fprintf( fid, ' <p class="animate-box"><b>Points removed at the beginning: </b> %d </p>', elimPoints);fprintf(fid, '\n');
fprintf( fid, ' <p class="animate-box"><b>Momentum transfer range: </b></p>');fprintf(fid, '\n');
if units == 'A' || units == 'a'
fprintf(fid, '<p class="animate-box">- Absolute: %4.2f Å<sup>-1</sup></p>', corteAbs);
fprintf(fid, '<p class="animate-box">- Holtzer: %4.2f Å<sup>-1</sup></p>', corteHoltzer);
fprintf(fid, '<p class="animate-box">- Kratky: %4.2f Å<sup>-1</sup></p>', corteKratky);
fprintf(fid, '<p class="animate-box">- Porod: %4.2f Å<sup>-1</sup></p>', cortePorod);
end
if units == 'N' || units == 'n'
fprintf(fid, '<p class="animate-box">- Absolute: %4.2f 1/nm\n</p>', corteAbs);
fprintf(fid, '<p class="animate-box">- Holtzer: %4.2f 1/nm\n</p>', corteHoltzer);
fprintf(fid, '<p class="animate-box">- Kratky: %4.2f 1/nm\n</p>', corteKratky)
fprintf(fid, '<p class="animate-box">- Porod: %4.2f 1/nm\n</p>', cortePorod);
end
fprintf(fid, '<p class="animate-box"><b>Number of species:</b> %d </p>', numeroEspecies);
%fprintf(fid, '<br>');
fprintf( fid, ' <br><p class="animate-box"><b>CONSTRAINTS </b> %d </p>');fprintf(fid, '\n');
if tipoALS ==1
fprintf(fid,'<p class="animate-box"><b>Constraints for fibrillation experiment</b></p>');fprintf(fid, '\n');
fprintf(fid, '<ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Non-negativity: Concentrations and spectra</li>');fprintf(fid, '\n');
fprintf(fid, '<ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Selected algorithm for concentrations: fnnls (all species)</li>');fprintf(fid, '\n');
fprintf(fid, '<li>Selected algorithm for spectra: fnnls (all species)</li>');fprintf(fid, '\n');
fprintf(fid, '</ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Closure: Concentrations</li>');fprintf(fid, '\n');
fprintf(fid, '<ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Number of closure constants: 1</li>');fprintf(fid, '\n');
fprintf(fid, '<li>Closure constant: 1.0</li>');fprintf(fid, '\n');
fprintf(fid, '<li>Closure condition: Equal condition (all species)</li>');fprintf(fid, '\n');
fprintf(fid, '</ul>');fprintf(fid, '\n');
fprintf(fid, '</ul>');fprintf(fid, '\n');
end
if(tipoALS == 2)
fprintf(fid,'<p class="animate-box"><b>Constraints for titration experiment</b></p>');fprintf(fid, '\n');
fprintf(fid, '<ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Non-negativity: Concentrations and spectra</li>');fprintf(fid, '\n');
fprintf(fid, '<ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Selected algorithm for concentrations: fnnls (all species)</li>');fprintf(fid, '\n');
fprintf(fid, '<li>Selected algorithm for spectra: fnnls (all species)</li>');fprintf(fid, '\n');
fprintf(fid, '</ul>');fprintf(fid, '\n');
fprintf(fid, '<li>Unimodality: Concentrations (averaged)</li>');fprintf(fid, '\n');
fprintf(fid, '</ul>');fprintf(fid, '\n');
end
fprintf( fid, '<br>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
fprintf(fid,'<p class="animate-box"><b>Convergence criterion:</b> %.1f </p>', tolsigma);
fprintf(fid,'<p class="animate-box"><b>Maximum number of iterations:</b> %.0f </p>', numIterations);
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
fprintf( fid, '<br>');fprintf(fid, '\n');
% Seccion: PCA
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-3 animate-box">');fprintf(fid, '\n');
fprintf( fid, ' <a name="PCA"></a>');fprintf(fid, '\n');
fprintf( fid, ' <h3>Principal Component Analysis</h3>');fprintf(fid, '\n');
%fprintf( fid, ' <p>Data information about the dataset, folder of the input data and name of the files</p>');fprintf(fid, '\n');
% fprintf( fid, ' </div>');fprintf(fid, '\n');
% fprintf( fid, ' <div class="col-md-9">');fprintf(fid, '\n');
fprintf( fid, '<div class="fh5co-portfolio-item ">');fprintf(fid, '\n');
fprintf( fid, ' <div class="fh5co-portfolio-figure animate-box" style="background-image: url(images/work_1.jpg);"></div>');fprintf(fid, '\n');
fprintf( fid, ' <div class="fh5co-portfolio-description">');fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="eigenvalues.svg" alt="Eigenvalues" >');fprintf(fid, '\n');
fprintf( fid, '<img class="small" src="eigenvectors.svg" alt="Eigenvectors">');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
% Seccion: Results
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-3 animate-box">');fprintf(fid, '\n');
fprintf( fid, ' <a name="Results"></a>');fprintf(fid, '\n');
fprintf( fid, ' <h3>Analysis results</h3>');fprintf(fid, '\n');
% fprintf( fid, ' </div>');fprintf(fid, '\n');
% fprintf( fid, ' <div class="col-md-9">');fprintf(fid, '\n');
fprintf( fid, '<div class="fh5co-portfolio-item ">');fprintf(fid, '\n');
fprintf( fid, ' <div class="fh5co-portfolio-figure animate-box" style="background-image: url(images/work_1.jpg);"></div>');fprintf(fid, '\n');
fprintf( fid, ' <div class="fh5co-portfolio-description">');fprintf(fid, '\n');
%fprintf(fid, '<pre>');fprintf(fid, '\n');
%fprintf(fid, 'Test \t Combination \t Rem.curves \t Init.estim. \t l.o.f (PCA) \t l.o.f (exp) \t Variance \t X^2 \t Convergence');fprintf(fid, '\n');
%fprintf(fid, '-------------------------------------------------------------------------------------------------------------------------------------');
fprintf(fid, '<table>');fprintf(fid, '\n');
fprintf(fid, ' <tr>');fprintf(fid, '\n');
fprintf(fid, ' <th>Test</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>Combination</th> ');fprintf(fid, '\n');
fprintf(fid, ' <th>Rem.curves</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>Init.estim.</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>l.o.f (PCA)</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>l.o.f (exp)</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>Variance</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>chi^2</th>');fprintf(fid, '\n');
fprintf(fid, ' <th>Convergence</th>');fprintf(fid, '\n');
fprintf(fid, ' </tr>');fprintf(fid, '\n');
for il=1:length(matricesUsadasWF(:,1))
comb2 = 'A';
if (matricesUsadasWF(il,2)==1) comb2 = [comb2,'+H']; end;
if (matricesUsadasWF(il,3)==1), comb2 = [comb2,'+K']; end;
if (matricesUsadasWF(il,4)==1), comb2 = [comb2,'+P']; end;
numMatrices = 0;
for i=1:length(matricesUsadasWF(il,:))
if matricesUsadasWF(il,i) == 1
numMatrices = numMatrices + 1;
end
end
if ((numMatrices == 1) || (numMatrices == 2) || (numMatrices == 3))
comb2 = [comb2, ' '];
end
if (statisticsWorkflow(il).solution ==1)
solucion = 'Convergence';
end
if (statisticsWorkflow(il).solution ==2)
solucion = 'Divergence';
end
if (statisticsWorkflow(il).solution ==3)
solucion = 'Num. iteration exceeded';
end
textEstim = [];
for in = 1:length(curvasEstimInicWF(il).Test)
textEstim = [ textEstim, num2str(curvasEstimInicWF(il).Test(in))];
if (in<length(curvasEstimInicWF(il).Test) && length(curvasEstimInicWF(il).Test) > 1)
textEstim = [ textEstim, ' , '];
end
end
textElim = [];
for in = 1:length(curvasEliminadasWF(il).Test)
textElim = [textElim, num2str(curvasEliminadasWF(il).Test(in))];
if (in<length(curvasEliminadasWF(il).Test) && length(curvasEliminadasWF(il).Test) > 1)
textElim = [ textElim, ' , '];
end
end
% fprintf('%d \t %s \t %s \t\t %s \t %f \t %f \t %f \t %.2f \t %s \n', il, comb2, textElim, textEstim, statisticsWorkflow(il).lackOfFit_PCA, statisticsWorkflow(il).lackOfFit_Exp, statisticsWorkflow(il).percentR2, chiAverageWorkflow(il,1), solucion);
fprintf(fid, ' <tr>');fprintf(fid, '\n');
fprintf(fid, ' <td><b>%d</b></td>', il);fprintf(fid, '\n');
fprintf(fid, ' <td>%s</td> ', comb2);fprintf(fid, '\n');
fprintf(fid, ' <td>%s</td>', textElim);fprintf(fid, '\n');
fprintf(fid, ' <td>%s</td>', textEstim);fprintf(fid, '\n');
fprintf(fid, ' <td>%f</td>', statisticsWorkflow(il).lackOfFit_PCA);fprintf(fid, '\n');
fprintf(fid, ' <td>%f</td>', statisticsWorkflow(il).lackOfFit_Exp);fprintf(fid, '\n');
fprintf(fid, ' <td>%f</td>', statisticsWorkflow(il).percentR2);fprintf(fid, '\n');
fprintf(fid, ' <td>%.2f</td>', chiAverageWorkflow(il,1));fprintf(fid, '\n');
fprintf(fid, ' <td>%s</td>',solucion );fprintf(fid, '\n');
fprintf(fid, ' </tr>');fprintf(fid, '\n');
if(mod(il, length(combinacionesWF(:,1))) == 0)
fprintf(fid, '<br>');fprintf(fid, '\n');
end
clear comb;
end
fprintf(fid, '</table>');fprintf(fid, '\n');
for indice=1:length(matricesUsadasWF(:,1))
fprintf(fid, '<br>');fprintf(fid, '\n');
fprintf(fid, '<h4>Test %d</h4>', indice);fprintf(fid, '\n');
comb = ['Test ' num2str(indice), ': Absolute'];
if (matricesUsadasWF(indice,2)==1), comb = [comb, ' + Holtzer']; end;
if (matricesUsadasWF(indice,3)==1), comb = [comb, ' + Kratky']; end;
if (matricesUsadasWF(indice,4)==1), comb = [comb, ' + Porod']; end;
figure(indice);
subplot(2,1,1);
semilogy(valoresS(1:pointsAbs),speciesWorkflow(indice).Test(1:pointsAbs,:));
texto = ['xi2 = ', num2str(chiAverageWorkflow(indice,1))];
text(0.8, 0.8, texto, 'Units', 'normalized');
title(comb);
if statisticsWorkflow(indice).solution ~= 1
text(0.8, 0.7, 'DIVERGENCE!', 'Units', 'normalized','Color','Red');
end
subplot(2,1,2);
plot(coptElimWorkflow(indice).Test);
title('Concentrations');
fileFig = [folderOutput, '/Report/solution', num2str(indice), '.svg'];
fig = gcf;
saveas(fig, fileFig);
close(fig);
fprintf( fid, '<img class="grande" src="solution%d.svg" alt="Solution%d" >', indice, indice);fprintf(fid, '\n');
figure(indice);
plot(chiSquareAll(:,indice), ':*');
fileFig = [folderOutput, '/Report/chiTest', num2str(indice), '.svg'];
fig = gcf;
saveas(fig, fileFig);
close(fig);
fprintf( fid, '<img class="grande" src="chiTest%d.svg" alt="Eigenvalues" >', indice);fprintf(fid, '\n');
if curvasEliminadasWF(indice).Test ~= 0
figure(indice);
bar(diferenciaXiWF(:,indice));
fileFig = [folderOutput, '/Report/diffChi', num2str(indice), '.svg'];
fig = gcf;
saveas(fig, fileFig);
close(fig);
fprintf( fid, '<img class="grande" src="diffChi%d.svg" alt="Eigenvalues" >', indice);fprintf(fid, '\n');
end
end
%fprintf(fid, '</pre>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' <p><a href="report.html" class="btn btn-primary">Back to top</a></p>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
%fprintf( fid, '</div>');
fprintf( fid, ' <footer id="fh5co-footer">');fprintf(fid, '\n');
fprintf( fid, ' <div class="container">');fprintf(fid, '\n');
fprintf( fid, ' <div class="row">');fprintf(fid, '\n');
fprintf( fid, ' <div class="col-md-10 col-md-offset-1 text-center">');fprintf(fid, '\n');
fprintf( fid, ' <p>COSMiCS <br>Created by <a href="mailto:[email protected]" target="_blank">Fatima Herranz-Trillo</a></p>');fprintf(fid, '\n');
fprintf( fid, ' <p>COSMiCS <br>Created by <a href="mailto:[email protected]@gmail.com" target="_blank">Amin Sagar</a></p>');fprintf(fid, '\n');
fprintf( fid, ' <p>COSMiCS <br>Developed by <a href="mailto:[email protected]" target="_blank">Pau Bernado Group</a></p>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </div>');fprintf(fid, '\n');
fprintf( fid, ' </footer>');fprintf(fid, '\n');
fprintf( fid, '</body></html>');
fclose(fid);