A C D E F G I L M N O P R S T V

A

add(Matrix) - Method in class commonSense.math.linear.Matrix

Compute the sum of this and m.

C

clear() - Method in class commonSense.stat.basic.FirstMoment

clear() - Method in class commonSense.stat.basic.FourthMoment

clear() - Method in class commonSense.stat.basic.Mean

clear() - Method in class commonSense.stat.basic.SecondMoment

clear() - Method in class commonSense.stat.basic.ThirdMoment

clear() - Method in class commonSense.stat.basic.Variances

columnMeans() - Method in class commonSense.math.linear.Matrix

Gives the means of each colums of the matrix.

commonSense.math.linear - package commonSense.math.linear

commonSense.stat - package commonSense.stat

commonSense.stat.basic - package commonSense.stat.basic

copy() - Method in class commonSense.math.linear.Matrix

Create a new Matrix which is a copy of this.

correl(Matrix, int) - Static method in class commonSense.math.linear.SpecialMatrices

Calculates the correlation matrix based on the input matrix.

correl(Matrix) - Static method in class commonSense.math.linear.SpecialMatrices

Calculates the correlation matrix based on a pre-computed covariance matrix of any type.

covar(Matrix, int) - Static method in class commonSense.math.linear.SpecialMatrices

Calculates the covariance matrix of the specified type.

covar(Matrix) - Static method in class commonSense.math.linear.SpecialMatrices

Calculates the standard sample (co-)variance matrix in with n = N - 1 in which N is the number of rows in the matrix.

D

Distances - class commonSense.math.linear.Distances.

dev - Variable in class commonSense.stat.basic.FirstMoment

Deviation of most recently added value from previous first moment.

differenceByColumnMeans(Matrix) - Static method in class commonSense.math.linear.SpecialMatrices

Gives the difference matrix with the means calculated by Columns.

differenceByRowMeans(Matrix) - Static method in class commonSense.math.linear.SpecialMatrices

Gives the difference matrix with the means calculated by row.

E

euclidean(Matrix) - Static method in class commonSense.math.linear.Distances

Calculates the euclidean distance of a sample, and returns the non-squared distance.

evaluate(double[], int, int) - Method in class commonSense.stat.basic.Mean

Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[]) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[], int, int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double, int, int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the input array, using the precomputed mean value.

evaluate(double[], int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the input array, or Double.NaN if the array is empty.

evaluate(double[], int, int, int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.

evaluate(double[], double, int, int, int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.

evaluate(double[], double, int) - Method in class commonSense.stat.basic.Variances

Returns the variance of the entries in the input array, using the precomputed mean value.

F

FirstMoment - class commonSense.stat.basic.FirstMoment.

Computes the first moment (arithmetic mean).

FirstMoment() - Constructor for class commonSense.stat.basic.FirstMoment

Create a FirstMoment instance

FourthMoment - class commonSense.stat.basic.FourthMoment.

Computes a statistic related to the Fourth Central Moment.

FourthMoment() - Constructor for class commonSense.stat.basic.FourthMoment

Create a FourthMoment instance

G

getColumn(int) - Method in class commonSense.math.linear.Matrix

Returns the entries in column number col as an array.

getColumnDimension() - Method in class commonSense.math.linear.Matrix

getColumnMatrix(int) - Method in class commonSense.math.linear.Matrix

Returns the entries in column number col as a Matrix object.

getData() - Method in class commonSense.math.linear.Matrix

Returns matrix entries as a two-dimensional array.

getDataRef() - Method in class commonSense.math.linear.Matrix

Returns a reference to the underlying data array.

getDeterminant() - Method in class commonSense.math.linear.Matrix

getEntry(int, int) - Method in class commonSense.math.linear.Matrix

Returns the entry in the specified row and column.

getIdentity(int) - Method in class commonSense.math.linear.Matrix

Returns dimension x dimension identity matrix.

getLUMatrix() - Method in class commonSense.math.linear.Matrix

Returns the LU decomposition as a Matrix.

getN() - Method in class commonSense.stat.basic.FirstMoment

getN() - Method in class commonSense.stat.basic.Mean

getN() - Method in class commonSense.stat.basic.Variances

getNorm() - Method in class commonSense.math.linear.Matrix

getPermutation() - Method in class commonSense.math.linear.Matrix

Returns the permutation associated with the lu decomposition.

getResult() - Method in class commonSense.stat.basic.FirstMoment

getResult() - Method in class commonSense.stat.basic.FourthMoment

getResult() - Method in class commonSense.stat.basic.Mean

getResult() - Method in class commonSense.stat.basic.SecondMoment

getResult() - Method in class commonSense.stat.basic.ThirdMoment

getResult(int) - Method in class commonSense.stat.basic.Variances

Gives back the variance of the specified type.

getResult() - Method in class commonSense.stat.basic.Variances

Gives back the sample variance.

getRow(int) - Method in class commonSense.math.linear.Matrix

Returns the entries in row number row as an array.

getRowDimension() - Method in class commonSense.math.linear.Matrix

getRowMatrix(int) - Method in class commonSense.math.linear.Matrix

Returns the entries in row number row as a Matrix object.

getSubMatrix(int, int, int, int) - Method in class commonSense.math.linear.Matrix

Get a submatrix.

getSubMatrix(int[], int[]) - Method in class commonSense.math.linear.Matrix

Get a submatrix.

getSubMatrix(int, int, int[]) - Method in class commonSense.math.linear.Matrix

Get a submatrix.

getSubMatrix(int[], int, int) - Method in class commonSense.math.linear.Matrix

Get a submatrix.

getTrace() - Method in class commonSense.math.linear.Matrix

I

incMoment - Variable in class commonSense.stat.basic.Mean

Determines whether or not this statistic can be incremented or cleared.

incMoment - Variable in class commonSense.stat.basic.Variances

Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.

increment(double) - Method in class commonSense.stat.basic.FirstMoment

increment(double) - Method in class commonSense.stat.basic.FourthMoment

increment(double) - Method in class commonSense.stat.basic.Mean

increment(double) - Method in class commonSense.stat.basic.SecondMoment

increment(double) - Method in class commonSense.stat.basic.ThirdMoment

increment(double) - Method in class commonSense.stat.basic.Variances

inverse() - Method in class commonSense.math.linear.Matrix

Returns the inverse matrix if this matrix is invertible.

isSingular() - Method in class commonSense.math.linear.Matrix

isSquare() - Method in class commonSense.math.linear.Matrix

L

LEAST_SQUARES - Static variable in interface commonSense.stat.RegressionTypes

This type represents the Least Squares regression.

LS - Static variable in interface commonSense.stat.RegressionTypes

This type represents the Least Squares regression.

luDecompose() - Method in class commonSense.math.linear.Matrix

Computes a new LU decompostion for this matrix, storing the result for use by other methods.

M

MA - Static variable in interface commonSense.stat.RegressionTypes

This type represents the Major Axis regression.

Matrix - class commonSense.math.linear.Matrix.

This class is based on the Apache.org commons.math package, of to be precise: RleaMatrixImpl
Differences with that class are: "0-based" in stead of "1-based" indexing.

Matrix() - Constructor for class commonSense.math.linear.Matrix

Creates a matrix with no data

Matrix(int, int) - Constructor for class commonSense.math.linear.Matrix

Create a new Matrix with the supplied row and column dimensions.

Matrix(double[][]) - Constructor for class commonSense.math.linear.Matrix

Create a new Matrix using the data as the underlying data array.

Matrix(double[]) - Constructor for class commonSense.math.linear.Matrix

Create a new (column) Matrix using v as the data for the unique column of the v.length x 1 matrix created.

Mean - class commonSense.stat.basic.Mean.

Returns the arithmetic mean of the available values.

Mean() - Constructor for class commonSense.stat.basic.Mean

Constructs a Mean.

Mean(FirstMoment) - Constructor for class commonSense.stat.basic.Mean

Constructs a Mean with an External Moment.

m1 - Variable in class commonSense.stat.basic.FirstMoment

First moment of values that have been added

m2 - Variable in class commonSense.stat.basic.SecondMoment

second moment of values that have been added

m3 - Variable in class commonSense.stat.basic.ThirdMoment

third moment of values that have been added

m4 - Variable in class commonSense.stat.basic.FourthMoment

fourth moment of values that have been added

mahalanobis(Matrix, Matrix) - Static method in class commonSense.math.linear.Distances

Calculates the mahalanobis distance of a sample, and returns the non-squared distance.

mahalanobis(Matrix) - Static method in class commonSense.math.linear.Distances

Calculates the mahalanobis distance of a sample, and returns the non-squared distance.

moment - Variable in class commonSense.stat.basic.Mean

First moment on which this statistic is based.

moment - Variable in class commonSense.stat.basic.Variances

SecondMoment is used in incremental calculation of Variance

multiply(Matrix) - Method in class commonSense.math.linear.Matrix

Returns the result of postmultiplying this by m.

N

n - Variable in class commonSense.stat.basic.FirstMoment

Count of values that have been added

nDev - Variable in class commonSense.stat.basic.FirstMoment

Deviation of most recently added value from previous first moment, normalized by previous sample size.

nDevSq - Variable in class commonSense.stat.basic.ThirdMoment

Square of deviation of most recently added value from previous first moment, normalized by previous sample size.

O

operate(double[]) - Method in class commonSense.math.linear.Matrix

P

POPULATION - Static variable in interface commonSense.stat.VarianceTypes

This type represents the uncorrected (biased) (co-)variance type in which n = N.

preMultiply(Matrix) - Method in class commonSense.math.linear.Matrix

Returns the result premultiplying this by m.

preMultiply(double[]) - Method in class commonSense.math.linear.Matrix

R

RMA - Static variable in interface commonSense.stat.RegressionTypes

This type represents the Reduced Major Axis regression.

RegressionTypes - interface commonSense.stat.RegressionTypes.

rowMeans() - Method in class commonSense.math.linear.Matrix

Gives the means of each row of the matrix.

S

SAMPLE - Static variable in interface commonSense.stat.VarianceTypes

This type represents the corrected (unbiased) (co-)variance type in which n = N - 1.

SSCP(Matrix) - Static method in class commonSense.math.linear.SpecialMatrices

Calculates a SSCP (Sum-of-Squares-Cross-Product) matrix.

SecondMoment - class commonSense.stat.basic.SecondMoment.

Computes a statistic related to the Second Central Moment.

SecondMoment() - Constructor for class commonSense.stat.basic.SecondMoment

Create a SecondMoment instance

SpecialMatrices - class commonSense.math.linear.SpecialMatrices.

This class is the home of several special type matrices.

scalarAdd(double) - Method in class commonSense.math.linear.Matrix

Returns the result of adding d to each entry of this.

scalarMultiply(double) - Method in class commonSense.math.linear.Matrix

Returns the result multiplying each entry of this by d

setData(double[][]) - Method in class commonSense.math.linear.Matrix

Overwrites the underlying data for the matrix with a fresh copy of inData.

setDataRef(double[][]) - Method in class commonSense.math.linear.Matrix

Overwrites the underlying data for the matrix with a reference to inData.

setEntry(int, int, double) - Method in class commonSense.math.linear.Matrix

Sets the entry in the specified row and column to the specified value.

solve(double[]) - Method in class commonSense.math.linear.Matrix

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

solve(Matrix) - Method in class commonSense.math.linear.Matrix

Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.

subtract(Matrix) - Method in class commonSense.math.linear.Matrix

Compute this minus m.

T

TOO_SMALL - Static variable in class commonSense.math.linear.Matrix

Bound to determine effective singularity in LU decomposition

ThirdMoment - class commonSense.stat.basic.ThirdMoment.

Computes a statistic related to the Third Central Moment.

ThirdMoment() - Constructor for class commonSense.stat.basic.ThirdMoment

Create a ThirdMoment instance

toSquareString() - Method in class commonSense.math.linear.Matrix

toString() - Method in class commonSense.math.linear.Matrix

transpose() - Method in class commonSense.math.linear.Matrix

Returns the transpose matrix.

V

VarianceTypes - interface commonSense.stat.VarianceTypes.

This interface defines the two commonly used types of variances, population and sample.

Variances - class commonSense.stat.basic.Variances.

Computes the variance for a specific type VarianceTypes.

Variances() - Constructor for class commonSense.stat.basic.Variances

Constructs a Variance.

Variances(SecondMoment) - Constructor for class commonSense.stat.basic.Variances

Constructs a Variance based on an external second moment.

A C D E F G I L M N O P R S T V