find mean error of vector in matlab

To find the mean error of a vector in MATLAB, you can calculate the mean absolute error (MAE) or mean squared error (MSE) by comparing the vector with a reference vector. Here is a simple example using MAE:

main.m
% Example vectors
vector = [1, 2, 3, 4, 5];
reference_vector = [1.1, 2.2, 3.3, 4.4, 5.5];

% Mean Absolute Error (MAE)
mae = mean(abs(vector - reference_vector));

disp(mae);
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In this example, mae will give you the mean absolute error between the vector and reference_vector. You can modify this code to calculate the mean squared error (MSE) by squaring the differences before taking the mean.

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