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Index exceeds the number of array elements. Index must not exceed 0.I am getting a lot errors on my code can you please help which one should fix especially line 15.Thank you

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% Read the data from the file
fid = fopen('gc-data-21.txt', 'r');
data = textscan(fid, '%f %s %f');
fclose(fid);
% 1.Identify the lines that contain data
readfile=@(fn)cellstr(readlines(fn));
% 2.Get the number of data points
npoints = length(ind);
Unrecognized function or variable 'ind'.
% Read up to the data
x = data{1};
y = data{2};
% 3. Initialize the data vectors
time = zeros(npoints, 1);
signal = zeros(npoints, 1);
% Read in the data
for i = 1:npoints
time(i) = data{1}(ind(i));
signal(i) = data{2}(ind(i));
end
% 4.Plot the data
figure
plot(time, signal)
xlabel('Time (s)')
ylabel('Signal')
title('data')
% Correct for non-zero baseline
signal = signal - mean(signal);
% 5.Implementing a fitting procedure using a decaying gaussian function
% Define the decaying gaussian function
gauss = @(p, x) p(1)*exp(-((x - p(2))./p(3)).^2) + p(4);
% Define the objective function
obj = @(p) sum((gauss(p, time) - signal).^2);
% Define the initial guess for the parameters
p0 = [1, mean(time), std(time), 0];
% Optimize the parameters
p = fminsearch(obj, p0);
% 6. implementing a fitting procedure with two peaks and plot the fitting function with an initial guess for each parameter
% Define the function that adds two decaying gaussian functions
gauss2 = @(p, x) p(1)*exp(-((x - p(2))./p(3)).^2) + p(4) + p(5)*exp(-((x - p(6))./p(7)).^2) + p(8);
% 7. Plot fitting function with an initial guess for each parameter
% First we define Define the initial guess for the parameters
p0 = [1, mean(time), std(time), 0, 1, mean(time), std(time), 0];
% Plot the fitting function with the initial guess for the parameters
figure
plot(time, gauss2(p0, time))
xlabel('Time (s)')
ylabel('Signal')
title('fitting function with initial guess')
% 8.using nonlinear fitting to get the parameters that best fit our data, and ploting the fit on the graph
% Optimize the parameters
p2 = lsqnonlin(obj2, p0);
% Plot the fit on the graph
figure
plot(time, signal)
hold on
plot(time, gauss2(p2, time))
xlabel('Time (s)')
ylabel('Signal')
% 9.extracting out the two peaks and integrating the areas
% Extract the two peaks
peak1 = gauss(p2(1:4), time);
peak2 = gauss(p2(5:8), time);
% Display the two peaks extracted
figure
plot(time, peak1)
hold on
plot(time, peak2)
xlabel('Time (s)')
ylabel('Signal')
legend('Peak 1', 'Peak 2')
title('the two extracted peaks')
% Integrate the areas
area1 = trapz(time, peak1);
area2 = trapz(time, peak2);
% Display the integrated areas
fprintf('Integrated area 1: %f\n', area1)
fprintf('Integrated area 2: %f\n', area2)
% 10.Compute the relative amounts
rel1 = area1/(area1 + area2);
rel2 = area2/(area1 + area2);
% Display the relative amounts
fprintf('Relative amount 1: %f\n', rel1)
fprintf('Relative amount 2: %f\n', rel2)

Accepted Answer

Cris LaPierre
Cris LaPierre on 12 Jan 2023
Your variable data contains 3 empty cells, so you are getting an indexing error because you are trying to index into it using a value greater than 0. Note that, in MATLAB, you will get an error if you try to use 0 as well.
data={[],[],[]}
data = 1×3 cell array
{0×0 double} {0×0 double} {0×0 double}
% Works
data{1}
ans = []
% your error
data{1}(1)
Index exceeds the number of array elements. Index must not exceed 0.
  7 Comments
Cris LaPierre
Cris LaPierre on 12 Jan 2023
This function is part of the Optimization toolbox. If you have access to the optimization toolbox and have not installed it, you can do so using the Add-ons explorer.
You can check if you already have it installed using the ver command.

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