HistogramSampler (baseCode 1.1.19 API)

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

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type Method 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()
```