org.jzy3d.maths

Class Statistics

java.lang.Object

org.jzy3d.maths.Statistics

public class Statistics
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
Statistics()

Method Summary

Modifier and Type	Method and Description
static double	mad(double[] values) Computes the mad statistic, that is the median of all distances to the median of input values.
static double	max(double[] values) Computes the maximum value of an array of doubles.
static float	max(float[] values)
static float	max(float[][] values)
static int	max(int[][] values)
static float	max(java.util.List<java.lang.Float> values)
static int	maxId(int[] values)
static double	mean(double[] values) Computes the mean value of an array of doubles.
static float	mean(float[] values)
static double	median(double[] values, boolean interpolated) Computes the median value of an array of doubles.
static double	min(double[] values) Computes the minimum value of an array of doubles.
static float	min(float[] values)
static float	min(float[][] values)
static int	min(int[][] values)
static float	min(java.util.List<java.lang.Float> values)
static int	minId(double[] values) Returns the id where the minimal value stands.
static int	minId(float[] values)
static int	minId(int[] values)
static double[]	quantile(double[] values, double[] levels) A convenient shortcut for: quantile(values, levels, true);
static double[]	quantile(double[] values, double[] levels, boolean interpolated) Computes the quantiles of an array of doubles.
static double	std(double[] values) Computes the standard deviation of an array of doubles.
static double	variance(double[] values) Compute the variance of an array of doubles.

Methods inherited from class java.lang.Object

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

Constructor Detail

Statistics

public Statistics()

Method Detail

mean

public static double mean(double[] values)

Computes the mean value of an array of doubles. NaN values are ignored during the computation.

Parameters:

values -

Returns:

the mean value

mean

public static float mean(float[] values)

min

public static float min(java.util.List<java.lang.Float> values)

min

public static double min(double[] values)

Computes the minimum value of an array of doubles. NaN values are ignored during the computation.

Parameters:

values -

Returns:

the minimum value

min

public static float min(float[] values)

min

public static float min(float[][] values)

min

public static int min(int[][] values)

minId

public static int minId(double[] values)

Returns the id where the minimal value stands.

minId

public static int minId(float[] values)

minId

public static int minId(int[] values)

max

public static float max(java.util.List<java.lang.Float> values)

max

public static double max(double[] values)

Computes the maximum value of an array of doubles. NaN values are ignored during the computation.

Parameters:

values -

Returns:

the maximum value

max

public static float max(float[] values)

max

public static float max(float[][] values)

max

public static int max(int[][] values)

maxId

public static int maxId(int[] values)

mad

public static double mad(double[] values)

Computes the mad statistic, that is the median of all distances to the median of input values. If the input array is empty, the output value is Double.NaN

Parameters:

values -

Returns:

std

public static double std(double[] values)

Computes the standard deviation of an array of doubles. NaN values are ignored during the computation. If the input array is empty, the output value is Double.NaN

Parameters:

values -

Returns:

the standard deviation

variance

public static double variance(double[] values)

Compute the variance of an array of doubles. variance normalizes the output by N-1 if N>1, where N is the sample size. This is an unbiased estimator of the variance of the population For N=1, the output is 0.

Parameters:

values -

Returns:

quantile

public static double[] quantile(double[] values,
                                double[] levels,
                                boolean interpolated)

Computes the quantiles of an array of doubles. This method assumes the array has at least one element. NaN values are ignored during the computation.

Parameters:

values -

levels - a list of levels that must belong to [0;100]

interpolated - computes an interpolation of quantile when required quantile is not an exact vector id.

Returns:

the quantiles

Throws:

an - IllegalArgumentException if a level is out of the [0;100] bounds.

quantile

public static double[] quantile(double[] values,
                                double[] levels)

A convenient shortcut for: quantile(values, levels, true);

Parameters:

values -

levels -

Returns:

median

public static double median(double[] values,
                            boolean interpolated)

Computes the median value of an array of doubles.

Parameters:

values -

interpolated -

Returns:

the mean value