ubic.basecode.math.distribution

Class HistogramSampler

java.lang.Object

ubic.basecode.math.distribution.HistogramSampler

public class HistogramSampler
extends Object

Implements a simple (not very efficient) sampling algorithm for empirical distributions.

Author:

Paul

Constructor Summary

Constructors

Constructor and Description
HistogramSampler(hep.aida.ref.Histogram1D histogram)
HistogramSampler(int[] counts, double min, double max)

Method Summary

Modifier and Type	Method and Description
double	nextSample()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HistogramSampler

public HistogramSampler(hep.aida.ref.Histogram1D histogram)

Parameters:

histogram -

HistogramSampler

public HistogramSampler(int[] counts,
                        double min,
                        double max)

Parameters:

counts - Array of counts of how many events there are for each bin, from min to max.

min - Minimum of range histogram covers (value of the start of the first bin)

max - Maximum of range histogram covers (value at the start of the last bin)

Method Detail

nextSample

public double nextSample()