DataSet (timeseries 0.4 API)

All Known Implementing Classes:

DoubleDataSet, TimeSeries
```
public interface DataSet
```
A collection of numerical observations.

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method and Description
`double[]`	`asArray()` The observations.
`double`	`correlation(DataSet otherData)` The unbiased sample correlation of these observations with the observations contained in the given data set.
`double`	`covariance(DataSet otherData)` The unbiased sample covariance of these observations with the observations contained in the given data set.
`double`	`mean()` The mean of the observations.
`double`	`median()` The median value of the observations.
`DataSet`	`plus(DataSet otherData)` Add every element of this data set to the corresponding element of the given data set.
`int`	`size()` The size of the data set.
`double`	`stdDeviation()` The unbiased sample standard deviation of the observations.
`double`	`sum()` The sum of the observations.
`double`	`sumOfSquares()` The sum of the squared observations.
`DataSet`	`times(DataSet otherData)` Multiply every element of this data set with the corresponding element of the given data set.
`double`	`variance()` The unbiased sample variance of the observations.

- Method Detail
  - sum
```
double sum()
```
    The sum of the observations.
    
    Returns:
    
    the sum of the observations.
  - sumOfSquares
```
double sumOfSquares()
```
    The sum of the squared observations.
    
    Returns:
    
    the sum of the squared observations.
  - mean
```
double mean()
```
    The mean of the observations.
    
    Returns:
    
    the mean of the observations.
  - median
```
double median()
```
    The median value of the observations.
    
    Returns:
    
    the median value of the observations.
  - size
```
int size()
```
    The size of the data set.
    
    Returns:
    
    the size of the data set.
  - times
```
DataSet times(DataSet otherData)
```
    Multiply every element of this data set with the corresponding element of the given data set.
    
    Parameters:
    
    otherData - The data to multiply by.
    
    Returns:
    
    A new data set containing every element of this data set multiplied by the corresponding element of the given data set.
  - plus
```
DataSet plus(DataSet otherData)
```
    Add every element of this data set to the corresponding element of the given data set.
    
    Parameters:
    
    otherData - The data to add to.
    
    Returns:
    
    A new data set containing every element of this data set added to the corresponding element of the given data set.
  - variance
```
double variance()
```
    The unbiased sample variance of the observations.
    
    Returns:
    
    the unbiased sample variance of the observations.
  - stdDeviation
```
double stdDeviation()
```
    The unbiased sample standard deviation of the observations.
    
    Returns:
    
    the unbiased sample standard deviation of the observations.
  - covariance
```
double covariance(DataSet otherData)
```
    The unbiased sample covariance of these observations with the observations contained in the given data set.
    
    Parameters:
    
    otherData - the data to compute the covariance with.
    
    Returns:
    
    the unbiased sample covariance of these observations with the observations contained in the given data set.
  - correlation
```
double correlation(DataSet otherData)
```
    The unbiased sample correlation of these observations with the observations contained in the given data set.
    
    Parameters:
    
    otherData - the data to compute the correlation coefficient with.
    
    Returns:
    
    the unbiased sample correlation of these observations with the observations contained in the given data set.
  - asArray
```
double[] asArray()
```
    The observations.
    
    Returns:
    
    the observations.

Interface DataSet

Method Summary

Method Detail

sum

sumOfSquares

mean

median

size

times

plus

variance

stdDeviation

covariance

correlation

asArray