OnlineStats

java.lang.Object
- com.emphysic.myriad.core.data.ops.math.OnlineStats

```
public class OnlineStats
extends java.lang.Object
```
OnlineStats - approximations for incremental mean and standard deviation for large / streaming data. Based on the algorithms outlined in: Chan, Tony F., Gene H. Golub, and Randall J. LeVeque. "Algorithms for computing the sample variance: Analysis and recommendations." The American Statistician 37.3 (1983), pp 242-247.

Constructor Summary

Constructors
Constructor and Description

OnlineStats()

Constructors
Constructor and Description
`OnlineStats()`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`double`	`getCurrentMean()` Current mean value
`int`	`getN()` The number of elements seen so far.
`double`	`getSumSquaredMeanDiff()` The current sum of squares of differences from the current mean.
`static void`	`main(java.lang.String[] args)`
`double`	`mean()` Returns the current mean of the numbers.
`double`	`mean(Dataset input)` Updates the approximations then returns the current mean
`double`	`mean(double[] data)` Updates the statistics then returns the current mean
`void`	`setCurrentMean(double currentMean)`
`void`	`setN(int n)`
`void`	`setSumSquaredMeanDiff(double sumSquaredMeanDiff)`
`double`	`stddev()` Returns the current approximation of the standard deviation of the data.
`double`	`stddev(Dataset input)` Updates the statistics with the supplied values then returns the current standard deviation.
`double`	`stddev(double[] data)` Updates the statistics then returns the current standard deviation.
`void`	`update(Dataset input)` Updates the current mean, variance, and standard deviation approximations.
`void`	`update(double[] data)` Updates the current mean, variance, and standard deviation.
`double`	`variance()` Returns the current approximation of the variance of the data.
`double`	`variance(Dataset input)` Updates the statistics with new values then returns the current variance.
`double`	`variance(double[] data)` Updates the statistics then returns the current variance.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - OnlineStats
```
public OnlineStats()
```
- Method Detail
  - update
```
public void update(double[] data)
```
    Updates the current mean, variance, and standard deviation.
    
    Parameters:
    
    data - new elements
  - update
```
public void update(Dataset input)
```
    Updates the current mean, variance, and standard deviation approximations.
    
    Parameters:
    
    input - new elements
  - mean
```
public double mean()
```
    Returns the current mean of the numbers.
    
    Returns:
    
    current mean
  - mean
```
public double mean(double[] data)
```
    Updates the statistics then returns the current mean
    
    Parameters:
    
    data - new elements
    
    Returns:
    
    current mean
  - mean
```
public double mean(Dataset input)
```
    Updates the approximations then returns the current mean
    
    Parameters:
    
    input - new elements
    
    Returns:
    
    current mean
  - variance
```
public double variance()
```
    Returns the current approximation of the variance of the data.
    
    Returns:
    
    current variance, or NaN if less than 2 elements have been seen.
  - variance
```
public double variance(double[] data)
```
    Updates the statistics then returns the current variance.
    
    Parameters:
    
    data - new elements
    
    Returns:
    
    current variance, or NaN if less than 2 elements have been seen.
  - variance
```
public double variance(Dataset input)
```
    Updates the statistics with new values then returns the current variance.
    
    Parameters:
    
    input - new elements
    
    Returns:
    
    current variance, or NaN if less than 2 elements have been seen.
  - stddev
```
public double stddev()
```
    Returns the current approximation of the standard deviation of the data.
    
    Returns:
    
    current standard devication, or NaN if less than 2 elements have been seen.
  - stddev
```
public double stddev(double[] data)
```
    Updates the statistics then returns the current standard deviation.
    
    Parameters:
    
    data - new elements
    
    Returns:
    
    current standard deviation, or NaN if less than 2 elements have been seen.
  - stddev
```
public double stddev(Dataset input)
```
    Updates the statistics with the supplied values then returns the current standard deviation.
    
    Parameters:
    
    input - new elements
    
    Returns:
    
    current standard deviation, or NaN if less than 2 elements have been seen.
  - getN
```
public int getN()
```
    The number of elements seen so far.
    
    Returns:
    
    number of elements included in statistics
  - getSumSquaredMeanDiff
```
public double getSumSquaredMeanDiff()
```
    The current sum of squares of differences from the current mean.
    
    Returns:
    
    current value
  - setN
```
public void setN(int n)
```
  - getCurrentMean
```
public double getCurrentMean()
```
    Current mean value
  - setCurrentMean
```
public void setCurrentMean(double currentMean)
```
  - setSumSquaredMeanDiff
```
public void setSumSquaredMeanDiff(double sumSquaredMeanDiff)
```
  - main
```
public static void main(java.lang.String[] args)
```

Class OnlineStats

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

OnlineStats

Method Detail

update

update

mean

mean

mean

variance

variance

variance

stddev

stddev

stddev

getN

getSumSquaredMeanDiff

setN

getCurrentMean

setCurrentMean

setSumSquaredMeanDiff

main