Programmer Guide/Command Reference/EVAL/median: Difference between revisions

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Compute median or quantiles of a vector ''x''.
Compute median or quantiles of a vector ''x''.


The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' of: <code>an element of x is lower than '''q<sub>p</sub>'''</code>. The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.
The quantile '''q<sub>p</sub>''' can be defined as the probability '''p''' such that ''an element of x is lower than '''q<sub>p</sub>'''</code>.'' The value '''p''' must be in the range 0 to 1. The special quantile q<sub>0.5</sub> is also called '''median'''.


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Revision as of 16:43, 8 April 2011

Compute median or quantiles of a vector x.

The quantile qp can be defined as the probability p such that an element of x is lower than qp. The value p must be in the range 0 to 1. The special quantile q0.5 is also called median.


Usage 1
median(xvector {, pscalar })
x
data vector
p
the propability; 0 < p < 1 (default=0.5)
Result 1
Returns the p-quantile (scalar) of x.

Usage 2
median(xvector , pvector })
x
data vector
p
vector with propability values
Result 1
Returns a vector containing the quantiles for all probabilities p[i].
See also
avr, sort, hist

<function list>

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