how to calculate the moving skewness of a vector in matlab

To calculate the moving skewness of a vector in Matlab, you can use the movskewness function. This function calculates the skewness over a rolling window of a vector.

Here's an example of how to use it:

main.m
% Generate example data
x = randn(1,100);

% Set window size
windowSize = 10;

% Calculate moving skewness
skew = movskewness(x, windowSize);

% Plot results
plot(x)
hold on
plot(skew)
legend('Data','Moving Skewness')
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In the above code, we generate random data x, set a window size windowSize of 10, and then calculate the moving skewness using the movskewness function. We then plot the original data and the moving skewness on the same graph.

Note that you can also specify a window function using the movskewness function to weight the values in the rolling window. This can be useful if you want to give more weight to recent values, for example.