DataVector

java.lang.Object
- org.jlab.groot.data.DataVector

```
public class DataVector
extends Object
```

Constructor Summary

Constructors
Constructor and Description

DataVector()

DataVector(double[] data)

DataVector(int size)

DataVector(List<Double> data)

Constructors
Constructor and Description
`DataVector()`
`DataVector(double[] data)`
`DataVector(int size)`
`DataVector(List<Double> data)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`add(double value)` Add value to the vector and ensure that the vector is ordered.
`void`	`addDataVector(DataVector vec)`
`void`	`clear()`
`void`	`copy(DataVector vec)`
`void`	`divide(double norm)` Divides the content of the vector by given number.
`int`	`findBin(double value)`
`int`	`findBin(double value, int start)`
`double[]`	`getArray()`
`int`	`getBinSuggestion()`
`double`	`getBinWidth(int index)`
`DataVector`	`getCumulative()` Returns cumulative integral of the vector.
`double`	`getHighEdge(int bin)`
`double`	`getLowEdge(int bin)` Returns the low edge for the bin which is determined by bin width.
`double`	`getMax()` calculate maximum value in the data
`double`	`getMean()` Calculates the mean of the vector.
`double`	`getMean(DataVector xvec)` Calculates the normalized mean with the given axis.
`double`	`getMin()` calculate the minimum value in the data.
`double`	`getRMS()`
`int`	`getSize()` Returns the number of entries in the vector
`double`	`getValue(int index)`
`boolean`	`isOrdered()`
`void`	`mult(double norm)` Multiplies the whole data with the provided number
`void`	`set(double[] data)` Initialize the array with given values.
`void`	`set(int index, double value)`
`void`	`set(List<Double> data)`
`void`	`setValue(int index, double value)`
`int`	`size()`

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

- Constructor Detail
  - DataVector
```
public DataVector(int size)
```
  - DataVector
```
public DataVector()
```
  - DataVector
```
public DataVector(double[] data)
```
  - DataVector
```
public DataVector(List<Double> data)
```
- Method Detail
  - set
```
public final void set(double[] data)
```
    Initialize the array with given values.
    
    Parameters:
    
    data - initial data
  - set
```
public final void set(List<Double> data)
```
  - size
```
public int size()
```
  - clear
```
public void clear()
```
  - addDataVector
```
public void addDataVector(DataVector vec)
```
  - add
```
public void add(double value)
```
    Add value to the vector and ensure that the vector is ordered. If the value does not appear to be in ordered mode, then set the flag ordered to FALSE.
    
    Parameters:
    
    value - next value to the data vector.
  - getMin
```
public double getMin()
```
    calculate the minimum value in the data.
    
    Returns:
    
    minimum of all data points
  - getMax
```
public double getMax()
```
    calculate maximum value in the data
    
    Returns:
    
    maximum value of the data.
  - getBinSuggestion
```
public int getBinSuggestion()
```
  - copy
```
public void copy(DataVector vec)
```
  - isOrdered
```
public boolean isOrdered()
```
  - findBin
```
public int findBin(double value)
```
  - findBin
```
public int findBin(double value,
                   int start)
```
  - mult
```
public void mult(double norm)
```
    Multiplies the whole data with the provided number
    
    Parameters:
    
    norm - multiplication factor
  - divide
```
public void divide(double norm)
```
    Divides the content of the vector by given number.
    
    Parameters:
    
    norm -
  - getCumulative
```
public DataVector getCumulative()
```
    Returns cumulative integral of the vector.
    
    Returns:
  - getMean
```
public double getMean(DataVector xvec)
```
    Calculates the normalized mean with the given axis.
    
    Parameters:
    
    xvec -
    
    Returns:
  - getMean
```
public double getMean()
```
    Calculates the mean of the vector.
    
    Returns:
    
    mean value
  - getRMS
```
public double getRMS()
```
  - getSize
```
public int getSize()
```
    Returns the number of entries in the vector
    
    Returns:
    
    size
  - getValue
```
public double getValue(int index)
```
  - getLowEdge
```
public double getLowEdge(int bin)
```
    Returns the low edge for the bin which is determined by bin width.
    
    Parameters:
    
    bin - bin number
    
    Returns:
    
    the low edge for the bin.
  - getHighEdge
```
public double getHighEdge(int bin)
```
  - getBinWidth
```
public double getBinWidth(int index)
```
  - getArray
```
public double[] getArray()
```
  - set
```
public void set(int index,
                double value)
```
  - setValue
```
public void setValue(int index,
                     double value)
```

Class DataVector

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

DataVector

DataVector

DataVector

DataVector

Method Detail

set

set

size

clear

addDataVector

add

getMin

getMax

getBinSuggestion

copy

isOrdered

findBin

findBin

mult

divide

getCumulative

getMean

getMean

getRMS

getSize

getValue

getLowEdge

getHighEdge

getBinWidth

getArray

set

setValue