To my understanding, you have written MATLAB code to generate “n” random samples from the given input data. Now, you want to automate this process and generate only one output dataset from all the generated samples.
To accomplish this task, we can pre-allocate a matrix to store the output sample data. Next, we can iterate “n” times using for loop to generate the samples and store them in the output matrix using array indexing in MATLAB.
Here is the MATLAB code that addresses this task:
data = 1:100;
k = 10;
n = 5;
% Preallocate a matrix to store the samples
samples = zeros(n, k);
% Perform random sampling multiple times
for i = 1:n
samples(i, :) = datasample(data, k);
end
disp('All samples in a single dataset:');
disp(samples);
Please find attached the documentations of “loops”, “zeros” and “array indexing” in MATLAB for reference:
I anticipate this will address the issue.
