Mediantrimmed: Difference between revisions
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* '''dim''' = defines the dimension/mode along which the median is estimated (see MEDIAN). If dim is not defined the first non-singleton dimension is used. | * '''dim''' = defines the dimension/mode along which the median is estimated (see MEDIAN). If dim is not defined the first non-singleton dimension is used. | ||
====Outputs==== | ====Outputs==== | ||
* ''' | * '''x''' = trimmed median. | ||
===See Also=== | ===See Also=== | ||
[[auto]], [[meantrimmed]] | [[auto]], [[meantrimmed]] | ||
Latest revision as of 17:59, 6 March 2012
Purpose
Trimmed median.
Synopsis
- x = mediantrimmed(x,n,dim)
Inputs
- x = vector with M elements or MxN matrix of data. Higher order arrays are also supported.
- n = trimming factor. If (n>1) and even, (n) is the number of samples to exclude from the calculation. If (0<n<1), (n) is the fraction of samples to exclude from the calculation. If n>m(dim), then (n) is set to zero and the normal median is used.
Optional Inputs
- dim = defines the dimension/mode along which the median is estimated (see MEDIAN). If dim is not defined the first non-singleton dimension is used.
Outputs
- x = trimmed median.