A B C F G H I J L M N P R S T V W

A

arithmeticMean(double[]) - Static method in class jstats.Mean

Calculate the arithmetic mean from an array of doubles.

B

binomialDistribution(double, long, long) - Static method in class jstats.Probability

Calculates a binomial distribution probability.

binomialMean(double, long) - Static method in class jstats.Mean

Calculate a binomial mean.

C

Correlation - class jstats.Correlation.

Correlation() - Constructor for class jstats.Correlation

chebyshev(double) - Static method in class jstats.Variance

coefficient(double[], double[]) - Static method in class jstats.Correlation

Computes the coefficient of correlation for sample or population data.

coefficientOfVariation(double, double) - Static method in class jstats.Variance

Computes the coefficient of variation.

coefficientOfVariation(double[]) - Static method in class jstats.Variance

Computes the coefficient of variation.

combination(double, double) - Static method in class jstats.Statistic

Combination function: nCr = n!

F

factorial(double) - Static method in class jstats.Statistic

Performs factorial (n!)

fisherZTransformation(double[], double[]) - Static method in class jstats.Correlation

fisherZTransformation(double) - Static method in class jstats.Correlation

G

geometricDistribution(double, long) - Static method in class jstats.Probability

Computes a geometric probability distribution.

geometricMean(double[]) - Static method in class jstats.Mean

Calculates the geometic mean.

grandMean(double[], double[]) - Static method in class jstats.Mean

Calculates the grand mean.

H

harmonicMean(double[]) - Static method in class jstats.Mean

Calculates a harmonic mean.

hyperGeometricDistribution(long, long, long, long) - Static method in class jstats.Probability

Calculates a hypergeometric distribution.

hypergeometricMean(double, double, double) - Static method in class jstats.Mean

I

isValidProbability(double) - Static method in class jstats.Probability

Validates that a double is a valid probability (>= 0.0 and <= 1.0).

isValidProbabilityDistribution(double[], double) - Static method in class jstats.Probability

Validates that an array of doubles meets the criteria for a valid probability distribution (each value is a valid probability, and the distribution adds up to 1.00).

isValidProbabilityDistribution(double[]) - Static method in class jstats.Probability

Identical to the same method with a delta argument, but uses a default delta of 0.0 (i.e., allows no error tolerance).

J

jstats - package jstats

jstats.inference - package jstats.inference

L

locale - Static variable in class jstats.Statistic

M

Mean - class jstats.Mean.

Static methods for calculating means and other measures of center.

Mean() - Constructor for class jstats.Mean

Mean - class jstats.inference.Mean.

Mean() - Constructor for class jstats.inference.Mean

maximumError(double, double) - Static method in class jstats.inference.Mean

median(double[]) - Static method in class jstats.Mean

Computes a median of an array of values.

midrange(double[]) - Static method in class jstats.Mean

Computes the midrange (the value exactly between the lowest and highest values) from an array of doubles.

multinomialDistribution(long, double[], long[]) - Static method in class jstats.Probability

Calculates a multinomial probability distribution.

multinomialDistribution(long, double[], long[], double) - Static method in class jstats.Probability

This is the same function as the one without the delta argument, but allows specification of margin of error for the sum of all probabilities.

multipleCorrelationCoefficient() - Static method in class jstats.Correlation

multivariateHypergeometricDistribution(long[], long[]) - Static method in class jstats.Probability

Calculates a multivariate hypergeometric distribution.

N

Nonparametric - class jstats.Nonparametric.

Nonparametric() - Constructor for class jstats.Nonparametric

negativeHypergeometricDistribution(long, long, long, long) - Static method in class jstats.Probability

Calculates a negative hypergeometric distribution.

normalCorrelation(double[], double[], double) - Static method in class jstats.Correlation

P

Probability - class jstats.Probability.

The Probability class deals with probability calculations.

Probability() - Constructor for class jstats.Probability

Proportion - class jstats.inference.Proportion.

Proportion() - Constructor for class jstats.inference.Proportion

pearsonianSkewness(double, double, double) - Static method in class jstats.Variance

Determines relationship between the mean and the median.

pearsonianSkewness(double[]) - Static method in class jstats.Variance

Computes the skewness factor from a sample of data.

permutation(double, double) - Static method in class jstats.Statistic

Permutation function: nPr = n!

poissonApproximation(double, long, long) - Static method in class jstats.Probability

Approximates a binomial probability using a special form of the Poisson Distribution.

poissonDistribution(double, long) - Static method in class jstats.Probability

Computes the probability of a given number of successes given an average number of successes per unit.

populationStandardDeviation(double[]) - Static method in class jstats.Variance

populationStandardUnit(double, double, double) - Static method in class jstats.Variance

populationStandardUnit(double[], int) - Static method in class jstats.Variance

populationVarience(double[]) - Static method in class jstats.Variance

probabilityMean(double, double[]) - Static method in class jstats.Mean

Calculates the mean of a probability distribution.

R

Regression - class jstats.Regression.

Regression() - Constructor for class jstats.Regression

regressionSumSquares(double[], double[]) - Static method in class jstats.Variance

S

STIRLING_THRESHOLD - Static variable in class jstats.Statistic

Numbers greater than this will have factorials computed using Stirling's Approximation

StandardDeviation - class jstats.inference.StandardDeviation.

StandardDeviation() - Constructor for class jstats.inference.StandardDeviation

Statistic - class jstats.Statistic.

Statistic is the base class of the jstats package, providing a number of static methods useful for collections of data.

Statistic() - Constructor for class jstats.Statistic

StatisticException - exception jstats.StatisticException.

Exception thrown by a Statistic calculation given invalid parameters.

StatisticException() - Constructor for class jstats.StatisticException

Default constructor

StatisticException(String) - Constructor for class jstats.StatisticException

Contructor with an error String describing what caused the Exception to be thrown.

StirlingApproximation(double) - Static method in class jstats.Statistic

Stirling's Approximation for a factorial: For large values of n, n!

sampleStandardDeviation(double[]) - Static method in class jstats.Variance

Computes the sample standard deviation.

sampleStandardUnit(double, double, double) - Static method in class jstats.Variance

Computes the sample standard unit(aka sample z-score) from a list of doubles.

sampleStandardUnit(double[], int) - Static method in class jstats.Variance

Computes sample standard unit for the value at 'index' in an array of doubles.

sampleVariance(double[]) - Static method in class jstats.Variance

Computes sample variance.

standardError(double[], double[]) - Static method in class jstats.Variance

sumDeviations(double[]) - Static method in class jstats.Variance

Computes the sum of deviations (or Sxx).

summation(double[]) - Static method in class jstats.Statistic

Sum of all the values in an array.

summation(long[]) - Static method in class jstats.Statistic

Sum of all the values in an array.

T

totalSumSquares(double[]) - Static method in class jstats.Variance

V

Variance - class jstats.Variance.

Variance() - Constructor for class jstats.Variance

validateProbability(double) - Static method in class jstats.Probability

Confirms that the probability passed into the public functions is proper.

validateProbability(double[]) - Static method in class jstats.Probability

Validate an array of probabilities

validateProbabilityDistribution(double[], double) - Static method in class jstats.Probability

Valid a probability distribution (an array of probabilities, each of which must be a valid probability, and the sum of which must add up to 1.00).

validateProbabilityDistribution(double[]) - Static method in class jstats.Probability

Identical to the same method with a delta, but uses a default delta of 0 (i.e., has no error tolerance).

W

weightedMean(double[], double[]) - Static method in class jstats.Mean

Caculate a weighted mean.

A B C F G H I J L M N P R S T V W