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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 .
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers
General Information
- Version 1.0.0.0 (1.71 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
