How do you use the mean function in MATLAB?
M = mean( A ) returns the mean of the elements of A along the first array dimension whose size does not equal 1.
- If A is a vector, then mean(A) returns the mean of the elements.
- If A is a matrix, then mean(A) returns a row vector containing the mean of each column.
How does MATLAB calculate standard deviation?
S = std( A , w , ‘all’ ) computes the standard deviation over all elements of A when w is either 0 or 1. This syntax is valid for MATLAB® versions R2018b and later. S = std( A , w , dim ) returns the standard deviation along dimension dim for any of the previous syntaxes.
What is Bsxfun MATLAB?
The bsxfun function expands the vectors into matrices of the same size, which is an efficient way to evaluate fun for many combinations of the inputs.
How does MATLAB calculate weighted average?
Direct link to this comment Here’s the command lines: A = rand(180,360). *100; w = cos(linspace(-pi/2,pi/2,180)); weighted_mean = mean(w.
Is Mean same as average?
Average can simply be defined as the sum of all the numbers divided by the total number of values. A mean is defined as the mathematical average of the set of two or more data values. Average is usually defined as mean or arithmetic mean. Mean is used in a more technical and mathematical sense.
How does Matlab calculate kurtosis?
Description. k = kurtosis( X ) returns the sample kurtosis of X . If X is a vector, then kurtosis(X) returns a scalar value that is the kurtosis of the elements in X . If X is a matrix, then kurtosis(X) returns a row vector that contains the sample kurtosis of each column in X .
How do you do a moving average in Matlab?
M = movmean( A , [kb kf] ) computes the mean with a window of length kb+kf+1 that includes the element in the current position, kb elements backward, and kf elements forward. M = movmean(___, dim ) returns the array of moving averages along dimension dim for any of the previous syntaxes.