If x is a vector, find the univariate pseudo-median of x.
If x is a matrix, compute the univariate pseudo-median value for each column and return them in a row vector. If the optional argument dim is given, operate along this dimension. Arrays of more than two dimensions are not currently supported.
The pseudo-median is the Hodges-Lehmann estimator of centrality, which is robust having a breakdown point of 0.29.
Cite As
Andrew Penn (2026). pseudomedian (https://uk.mathworks.com/matlabcentral/fileexchange/53005-pseudomedian), MATLAB Central File Exchange. Retrieved .
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