I’m using Nucleo-G474RE to send a bit stream over Simulink, instead of receiving 24 bits on the oscilloscope i can read only 8 bits, which are supposed to be the 8 bits in the middle that have the address of the peripheral and the status of the I2C block gives me 516 which is not on the documentation from matlab.I’m using Nucleo-G474RE to send a bit stream over Simulink, instead of receiving 24 bits on the oscilloscope i can read only 8 bits, which are supposed to be the 8 bits in the middle that have the address of the peripheral and the status of the I2C block gives me 516 which is not on the documentation from matlab. I’m using Nucleo-G474RE to send a bit stream over Simulink, instead of receiving 24 bits on the oscilloscope i can read only 8 bits, which are supposed to be the 8 bits in the middle that have the address of the peripheral and the status of the I2C block gives me 516 which is not on the documentation from matlab. i2c, nucleo-g474re MATLAB Answers — New Questions

​

Our campus license includes the Statistics and Machine Learning Toolbox, but it is not getting installed with our installations of Matlab R2025a or R2025b. The %ProgramFiles%MatlabR2025atoolboxstats folder doesn’t get created and the component (though listed within Matlab) is not usable.
We are installing through Configuration Manager using an application built from the downloaded ISO. If I uninstall the toolbox manually and then reinstall it, the components are there (though I also have to manually reinstall all other toolboxes that are dependent on Statistics toolbox), so our license is obviously fine.Our campus license includes the Statistics and Machine Learning Toolbox, but it is not getting installed with our installations of Matlab R2025a or R2025b. The %ProgramFiles%MatlabR2025atoolboxstats folder doesn’t get created and the component (though listed within Matlab) is not usable.
We are installing through Configuration Manager using an application built from the downloaded ISO. If I uninstall the toolbox manually and then reinstall it, the components are there (though I also have to manually reinstall all other toolboxes that are dependent on Statistics toolbox), so our license is obviously fine. Our campus license includes the Statistics and Machine Learning Toolbox, but it is not getting installed with our installations of Matlab R2025a or R2025b. The %ProgramFiles%MatlabR2025atoolboxstats folder doesn’t get created and the component (though listed within Matlab) is not usable.
We are installing through Configuration Manager using an application built from the downloaded ISO. If I uninstall the toolbox manually and then reinstall it, the components are there (though I also have to manually reinstall all other toolboxes that are dependent on Statistics toolbox), so our license is obviously fine. statistics toolbox, installation problem MATLAB Answers — New Questions

​

Hello,
I am currently working with the Simulink Test Manager and need assistance with programmatically duplicating test cases within the same test suite, similar to the "copy/paste" functionality available in the Test Manager interface.
I have a test suite loaded, and I want to create new test cases by duplicating existing ones. The goal is to maintain all properties (including the scripts and variable definitions in the callback sections) and settings of the original test case in the new duplicates.
So far, I have tried to retrieve the existing test case I wish to duplicate into the workspace and used dot operations like copy and duplicate, but these methods did not work as expected. For example:
newTestCase = existingTestCase.copy;
newTestCase = existingTestCase.duplicate;
A follow-up question, is it possible to programmatically edit or modify the scripts written in the callback sections of test cases? I am looking to automate the process of creating multiple test cases based on an existing one that was manually created in the Test Manager.
If anyone has experience with this or can provide guidance on how to achieve this programmatically, I would greatly appreciate your help!

Thank youHello,
I am currently working with the Simulink Test Manager and need assistance with programmatically duplicating test cases within the same test suite, similar to the "copy/paste" functionality available in the Test Manager interface.
I have a test suite loaded, and I want to create new test cases by duplicating existing ones. The goal is to maintain all properties (including the scripts and variable definitions in the callback sections) and settings of the original test case in the new duplicates.
So far, I have tried to retrieve the existing test case I wish to duplicate into the workspace and used dot operations like copy and duplicate, but these methods did not work as expected. For example:
newTestCase = existingTestCase.copy;
newTestCase = existingTestCase.duplicate;
A follow-up question, is it possible to programmatically edit or modify the scripts written in the callback sections of test cases? I am looking to automate the process of creating multiple test cases based on an existing one that was manually created in the Test Manager.
If anyone has experience with this or can provide guidance on how to achieve this programmatically, I would greatly appreciate your help!

Thank you Hello,
I am currently working with the Simulink Test Manager and need assistance with programmatically duplicating test cases within the same test suite, similar to the "copy/paste" functionality available in the Test Manager interface.
I have a test suite loaded, and I want to create new test cases by duplicating existing ones. The goal is to maintain all properties (including the scripts and variable definitions in the callback sections) and settings of the original test case in the new duplicates.
So far, I have tried to retrieve the existing test case I wish to duplicate into the workspace and used dot operations like copy and duplicate, but these methods did not work as expected. For example:
newTestCase = existingTestCase.copy;
newTestCase = existingTestCase.duplicate;
A follow-up question, is it possible to programmatically edit or modify the scripts written in the callback sections of test cases? I am looking to automate the process of creating multiple test cases based on an existing one that was manually created in the Test Manager.
If anyone has experience with this or can provide guidance on how to achieve this programmatically, I would greatly appreciate your help!

Thank you create duplicate test case MATLAB Answers — New Questions

​

Hello, I am trying to fit some data to an exponential + constant function and have this approach that I came across:

% code is giving good results with template equation : % y = a.*(1-exp(b.*(x-c))) + d;
f = @(a,b,c,d,x) a.*(1-exp(b.*(x-c))) + d;
obj_fun = @(params) norm(f(params(1), params(2), params(3), params(4),x)-y);
sol = fminsearch(obj_fun, [y(end)-y(1),0,0,y(1)]);
a_sol = sol(1);
b_sol = sol(2);
c_sol = sol(3);
d_sol = sol(4);
y_fit = f(a_sol, b_sol,c_sol ,d_sol, x);
figure
plot(x,y,’-+b’,x,y_fit,’-r’); grid on;
legend(‘signal’,’aexp(b(x-c))+d’);
title([‘a=’,num2str(a_sol,’%0.2f’), ‘ b=’,num2str(b_sol),’ c=’,num2str(c_sol),’ d=’,num2str(d_sol)],’FontSize’,14,’Color’,’b’)

Whilst the fit is good, the value of "a" seems wrong (at the expense of "d")

I’ve tried another approach that I came across from Steven Lord (as i don’t really understand the code above)

D=[x y]
% It would be better to parametrize the function as
xmin=min(x);
fitfun = fittype( @(a,b,c,x) a*exp(b*(x-xmin))+c );

[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
plot(fitted_curve,’r-‘)
But I get this error:
Error using fit>iFit (line 362)
Inf computed by model function, fitting cannot continue.
Try using or tightening upper and lower bounds on coefficients.
Error in fit (line 117)
[fitobj, goodness, output, convmsg] = iFit( xdatain, ydatain, fittypeobj, …
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Error in PlotAnalysis/FitExp1ContstantButtonPushed (line 1361)
[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^Hello, I am trying to fit some data to an exponential + constant function and have this approach that I came across:

% code is giving good results with template equation : % y = a.*(1-exp(b.*(x-c))) + d;
f = @(a,b,c,d,x) a.*(1-exp(b.*(x-c))) + d;
obj_fun = @(params) norm(f(params(1), params(2), params(3), params(4),x)-y);
sol = fminsearch(obj_fun, [y(end)-y(1),0,0,y(1)]);
a_sol = sol(1);
b_sol = sol(2);
c_sol = sol(3);
d_sol = sol(4);
y_fit = f(a_sol, b_sol,c_sol ,d_sol, x);
figure
plot(x,y,’-+b’,x,y_fit,’-r’); grid on;
legend(‘signal’,’aexp(b(x-c))+d’);
title([‘a=’,num2str(a_sol,’%0.2f’), ‘ b=’,num2str(b_sol),’ c=’,num2str(c_sol),’ d=’,num2str(d_sol)],’FontSize’,14,’Color’,’b’)

Whilst the fit is good, the value of "a" seems wrong (at the expense of "d")

I’ve tried another approach that I came across from Steven Lord (as i don’t really understand the code above)

D=[x y]
% It would be better to parametrize the function as
xmin=min(x);
fitfun = fittype( @(a,b,c,x) a*exp(b*(x-xmin))+c );

[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
plot(fitted_curve,’r-‘)
But I get this error:
Error using fit>iFit (line 362)
Inf computed by model function, fitting cannot continue.
Try using or tightening upper and lower bounds on coefficients.
Error in fit (line 117)
[fitobj, goodness, output, convmsg] = iFit( xdatain, ydatain, fittypeobj, …
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Error in PlotAnalysis/FitExp1ContstantButtonPushed (line 1361)
[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Hello, I am trying to fit some data to an exponential + constant function and have this approach that I came across:

% code is giving good results with template equation : % y = a.*(1-exp(b.*(x-c))) + d;
f = @(a,b,c,d,x) a.*(1-exp(b.*(x-c))) + d;
obj_fun = @(params) norm(f(params(1), params(2), params(3), params(4),x)-y);
sol = fminsearch(obj_fun, [y(end)-y(1),0,0,y(1)]);
a_sol = sol(1);
b_sol = sol(2);
c_sol = sol(3);
d_sol = sol(4);
y_fit = f(a_sol, b_sol,c_sol ,d_sol, x);
figure
plot(x,y,’-+b’,x,y_fit,’-r’); grid on;
legend(‘signal’,’aexp(b(x-c))+d’);
title([‘a=’,num2str(a_sol,’%0.2f’), ‘ b=’,num2str(b_sol),’ c=’,num2str(c_sol),’ d=’,num2str(d_sol)],’FontSize’,14,’Color’,’b’)

Whilst the fit is good, the value of "a" seems wrong (at the expense of "d")

I’ve tried another approach that I came across from Steven Lord (as i don’t really understand the code above)

D=[x y]
% It would be better to parametrize the function as
xmin=min(x);
fitfun = fittype( @(a,b,c,x) a*exp(b*(x-xmin))+c );

[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
plot(fitted_curve,’r-‘)
But I get this error:
Error using fit>iFit (line 362)
Inf computed by model function, fitting cannot continue.
Try using or tightening upper and lower bounds on coefficients.
Error in fit (line 117)
[fitobj, goodness, output, convmsg] = iFit( xdatain, ydatain, fittypeobj, …
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Error in PlotAnalysis/FitExp1ContstantButtonPushed (line 1361)
[fitted_curve,gof] = fit(D(:,1),D(:,2),fitfun,’StartPoint’,[max(y) -2 min(y)])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ fit, fminsearch, fittype MATLAB Answers — New Questions

​

Why will MATLAB not start up properly on my Mac?Why will MATLAB not start up properly on my Mac? Why will MATLAB not start up properly on my Mac?  MATLAB Answers — New Questions

​

I have a set of binarized pictures (like the following one) of the water surface in a small portion of flume, taken during a laboratory experiment. The water surface is represented by the thin curved line, but as you can see the picture is "corrupted" by other big white patches representing light reflections on the flume glass walls, that I could not get rid of.
I am working on a script that tries to detect the position of the water surface and fits it with a spline. I tried to remove the extra patches by filtering them by area (i.e. by removing the patches with pixel area lower than a threshold) before fitting the spline; but I am stuck because for many pictures the area of the water surface patch is roughly the same as those of the extra patches, so they are both removed by the filter. Moreover, occasionally the extra patches intersect the surface patch, as is the case in the picture below.
Can you help me figuring out a method to fit a curve to identify the surface, that is as less sensitive as possible to the presence of the extra patches? Thank you.I have a set of binarized pictures (like the following one) of the water surface in a small portion of flume, taken during a laboratory experiment. The water surface is represented by the thin curved line, but as you can see the picture is "corrupted" by other big white patches representing light reflections on the flume glass walls, that I could not get rid of.
I am working on a script that tries to detect the position of the water surface and fits it with a spline. I tried to remove the extra patches by filtering them by area (i.e. by removing the patches with pixel area lower than a threshold) before fitting the spline; but I am stuck because for many pictures the area of the water surface patch is roughly the same as those of the extra patches, so they are both removed by the filter. Moreover, occasionally the extra patches intersect the surface patch, as is the case in the picture below.
Can you help me figuring out a method to fit a curve to identify the surface, that is as less sensitive as possible to the presence of the extra patches? Thank you. I have a set of binarized pictures (like the following one) of the water surface in a small portion of flume, taken during a laboratory experiment. The water surface is represented by the thin curved line, but as you can see the picture is "corrupted" by other big white patches representing light reflections on the flume glass walls, that I could not get rid of.
I am working on a script that tries to detect the position of the water surface and fits it with a spline. I tried to remove the extra patches by filtering them by area (i.e. by removing the patches with pixel area lower than a threshold) before fitting the spline; but I am stuck because for many pictures the area of the water surface patch is roughly the same as those of the extra patches, so they are both removed by the filter. Moreover, occasionally the extra patches intersect the surface patch, as is the case in the picture below.
Can you help me figuring out a method to fit a curve to identify the surface, that is as less sensitive as possible to the presence of the extra patches? Thank you. image processing, digital image processing MATLAB Answers — New Questions

​

Buenos días
Acabé el curso de Simulink Onramp en línea; pero no me deja descargar el certificado; al abrir nuevamente me sale 0% de realización. Si le coloco realizar el curso en línea si me sale el 100% realizado. Su gentil ayuda por favor.
Atentamente
Carlos Tomalá

Good morning. I finished the Simulink OnRamp online course, but I can’t download the certificate. When I open it again, it shows 0% completion. If I select "complete the course online," it shows 100% completion. Your kind assistance would be greatly appreciated.

Sincerely, Carlos TomaláBuenos días
Acabé el curso de Simulink Onramp en línea; pero no me deja descargar el certificado; al abrir nuevamente me sale 0% de realización. Si le coloco realizar el curso en línea si me sale el 100% realizado. Su gentil ayuda por favor.
Atentamente
Carlos Tomalá

Good morning. I finished the Simulink OnRamp online course, but I can’t download the certificate. When I open it again, it shows 0% completion. If I select "complete the course online," it shows 100% completion. Your kind assistance would be greatly appreciated.

Sincerely, Carlos Tomalá Buenos días
Acabé el curso de Simulink Onramp en línea; pero no me deja descargar el certificado; al abrir nuevamente me sale 0% de realización. Si le coloco realizar el curso en línea si me sale el 100% realizado. Su gentil ayuda por favor.
Atentamente
Carlos Tomalá

Good morning. I finished the Simulink OnRamp online course, but I can’t download the certificate. When I open it again, it shows 0% completion. If I select "complete the course online," it shows 100% completion. Your kind assistance would be greatly appreciated.

Sincerely, Carlos Tomalá certificado simulink MATLAB Answers — New Questions

​

Hi,
I am new to Matlab. Let me first explain what I want to do, and then my problem. First, I want to plot a line with two shaded intervals around it (basically, the impulse response with two confidence intervals). After reading some posts in this forum, I managed to do it (thanks a lot, Matlab community). Probably that is not the best way (I plot one shaded region over another), but it seems to work. Below I provide an example.
% Create values to plot
IR = [1 2 5; 5 3 8; 2 2 5]’;
INF = IR-0.50;
SUP = IR+0.50;
INF2 = IR-1;
SUP2 = IR+1;

% Define the rows and columns for the subplots (you choose)
row = 2;
col = 2;

% Define a timeline
nsteps = size(IR, 1);
steps = 1:1:nsteps;
x_axis = zeros(1,nsteps);
x = steps;

% Options for plot
opt_plot.marker = ‘o’;
opt_plot.linecol = [13, 54, 84]./255;
opt_plot.swathecol = [138, 178, 212]./255;
opt_plot.linewidth = 2;
opt_plot.alpha = 0.5;
opt_plot.marker_x = ‘–k’;
opt_plot.linewidth_x = 0.5;

FigSize(26, 24)

% var1
ii = 1;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,1);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var1′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var2
ii = 2;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,2);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var2′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var3
ii = 3;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,3);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var3′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

After runing it, I get the following plot in Matlab.

But when I use exportgraphics to export the plot in PDF format (by using the code below), it does not save exactly what I see in the plot.
% Save
exportgraphics(gcf,’example.pdf’, ‘ContentType’, ‘vector’);
clf(‘reset’)
To be more precise, the plot contains the two shaded intervals (as you can see in the image above), but exportgraphics saves a PDF file with only one shaded interval (image below).

Can anyone help me, please? Thanks in advance.Hi,
I am new to Matlab. Let me first explain what I want to do, and then my problem. First, I want to plot a line with two shaded intervals around it (basically, the impulse response with two confidence intervals). After reading some posts in this forum, I managed to do it (thanks a lot, Matlab community). Probably that is not the best way (I plot one shaded region over another), but it seems to work. Below I provide an example.
% Create values to plot
IR = [1 2 5; 5 3 8; 2 2 5]’;
INF = IR-0.50;
SUP = IR+0.50;
INF2 = IR-1;
SUP2 = IR+1;

% Define the rows and columns for the subplots (you choose)
row = 2;
col = 2;

% Define a timeline
nsteps = size(IR, 1);
steps = 1:1:nsteps;
x_axis = zeros(1,nsteps);
x = steps;

% Options for plot
opt_plot.marker = ‘o’;
opt_plot.linecol = [13, 54, 84]./255;
opt_plot.swathecol = [138, 178, 212]./255;
opt_plot.linewidth = 2;
opt_plot.alpha = 0.5;
opt_plot.marker_x = ‘–k’;
opt_plot.linewidth_x = 0.5;

FigSize(26, 24)

% var1
ii = 1;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,1);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var1′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var2
ii = 2;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,2);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var2′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var3
ii = 3;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,3);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var3′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

After runing it, I get the following plot in Matlab.

But when I use exportgraphics to export the plot in PDF format (by using the code below), it does not save exactly what I see in the plot.
% Save
exportgraphics(gcf,’example.pdf’, ‘ContentType’, ‘vector’);
clf(‘reset’)
To be more precise, the plot contains the two shaded intervals (as you can see in the image above), but exportgraphics saves a PDF file with only one shaded interval (image below).

Can anyone help me, please? Thanks in advance. Hi,
I am new to Matlab. Let me first explain what I want to do, and then my problem. First, I want to plot a line with two shaded intervals around it (basically, the impulse response with two confidence intervals). After reading some posts in this forum, I managed to do it (thanks a lot, Matlab community). Probably that is not the best way (I plot one shaded region over another), but it seems to work. Below I provide an example.
% Create values to plot
IR = [1 2 5; 5 3 8; 2 2 5]’;
INF = IR-0.50;
SUP = IR+0.50;
INF2 = IR-1;
SUP2 = IR+1;

% Define the rows and columns for the subplots (you choose)
row = 2;
col = 2;

% Define a timeline
nsteps = size(IR, 1);
steps = 1:1:nsteps;
x_axis = zeros(1,nsteps);
x = steps;

% Options for plot
opt_plot.marker = ‘o’;
opt_plot.linecol = [13, 54, 84]./255;
opt_plot.swathecol = [138, 178, 212]./255;
opt_plot.linewidth = 2;
opt_plot.alpha = 0.5;
opt_plot.marker_x = ‘–k’;
opt_plot.linewidth_x = 0.5;

FigSize(26, 24)

% var1
ii = 1;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,1);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var1′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var2
ii = 2;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,2);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var2′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

% var3
ii = 3;
y = IR(:,ii)’;
ci1_u = SUP(:,ii)’;
ci1_l = INF(:,ii)’;
ci2_u = SUP2(:,ii)’;
ci2_l = INF2(:,ii)’;
subplot(row,col,3);
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on
patch([x fliplr(x)], [ci1_l fliplr(ci1_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
patch([x fliplr(x)], [ci2_l fliplr(ci2_u)], opt_plot.swathecol, ‘FaceAlpha’, opt_plot.alpha, ‘EdgeColor’, ‘none’)
plot(x, y, ‘color’, opt_plot.linecol, ‘Marker’, opt_plot.marker, ‘MarkerFaceColor’, opt_plot.linecol, ‘LineWidth’, opt_plot.linewidth); hold on % the same code line as above
plot(x_axis, opt_plot.marker_x, ‘LineWidth’, opt_plot.linewidth_x); hold on
xlim([1 nsteps]);
title(‘var3′,’FontSize’,11);
set(gca, ‘Layer’, ‘top’);

After runing it, I get the following plot in Matlab.

But when I use exportgraphics to export the plot in PDF format (by using the code below), it does not save exactly what I see in the plot.
% Save
exportgraphics(gcf,’example.pdf’, ‘ContentType’, ‘vector’);
clf(‘reset’)
To be more precise, the plot contains the two shaded intervals (as you can see in the image above), but exportgraphics saves a PDF file with only one shaded interval (image below).

Can anyone help me, please? Thanks in advance. exportgraphics, shaded interval MATLAB Answers — New Questions

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I am working on an interpolation project where I have 4 variables, each representing a dimension of a 4D array. There are three seperate values that coincide with each coordinate of the 4 dimensional array. The only way I have been able to make this work so far is that I currently have 3 seperate 4D arrays, each with the same set of variables but with one of the 3 values stored at each coordinate. The issue is that this creates a lot of reduntanat data and significantly increases the file size, while also increasing the computational resource requirement by running the interpolation 3 seperate times. I would like to only have one 4D array, with each coordinate housing a 1×3 with all 3 data points needed. Is this possible? If so, what is the best approach? I have approached this using Cell arrays, but I still run into errors of trying to assign 1×3 in a 1×1 space or with trying to assign doubles in the cell array.I am working on an interpolation project where I have 4 variables, each representing a dimension of a 4D array. There are three seperate values that coincide with each coordinate of the 4 dimensional array. The only way I have been able to make this work so far is that I currently have 3 seperate 4D arrays, each with the same set of variables but with one of the 3 values stored at each coordinate. The issue is that this creates a lot of reduntanat data and significantly increases the file size, while also increasing the computational resource requirement by running the interpolation 3 seperate times. I would like to only have one 4D array, with each coordinate housing a 1×3 with all 3 data points needed. Is this possible? If so, what is the best approach? I have approached this using Cell arrays, but I still run into errors of trying to assign 1×3 in a 1×1 space or with trying to assign doubles in the cell array. I am working on an interpolation project where I have 4 variables, each representing a dimension of a 4D array. There are three seperate values that coincide with each coordinate of the 4 dimensional array. The only way I have been able to make this work so far is that I currently have 3 seperate 4D arrays, each with the same set of variables but with one of the 3 values stored at each coordinate. The issue is that this creates a lot of reduntanat data and significantly increases the file size, while also increasing the computational resource requirement by running the interpolation 3 seperate times. I would like to only have one 4D array, with each coordinate housing a 1×3 with all 3 data points needed. Is this possible? If so, what is the best approach? I have approached this using Cell arrays, but I still run into errors of trying to assign 1×3 in a 1×1 space or with trying to assign doubles in the cell array. array, cell array, matrices, double MATLAB Answers — New Questions

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Matlab provides a method for programmatically modifying or generating Simulink models ( https://www.mathworks.com/help/simulink/ug/approach-modeling-programmatically.html ).
I have a large collection of Simulink models that I would like to convert into scripts which, when executed, would then re-generate the orginal (or functionally equivalent) model. In effect, I want a way to seemlessly convert between .slx files and a text-based representation. Does Matlab provide a utility that does this?Matlab provides a method for programmatically modifying or generating Simulink models ( https://www.mathworks.com/help/simulink/ug/approach-modeling-programmatically.html ).
I have a large collection of Simulink models that I would like to convert into scripts which, when executed, would then re-generate the orginal (or functionally equivalent) model. In effect, I want a way to seemlessly convert between .slx files and a text-based representation. Does Matlab provide a utility that does this? Matlab provides a method for programmatically modifying or generating Simulink models ( https://www.mathworks.com/help/simulink/ug/approach-modeling-programmatically.html ).
I have a large collection of Simulink models that I would like to convert into scripts which, when executed, would then re-generate the orginal (or functionally equivalent) model. In effect, I want a way to seemlessly convert between .slx files and a text-based representation. Does Matlab provide a utility that does this? simulink MATLAB Answers — New Questions

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