Dataplot

Vol 2

Vol 1

Dataplot Reference Manual
Volume 2: LET Subcommands and Library Functions

Chapter 4: Matrix LET Subcommands

INTRODUCTION

CATCHER MATRIX

CHOLESKY DECOMPOSITION

CONDITION INDICES

CORRELATION MATRIX

CREATE MATRIX

DIAGONAL MATRIX

DIRICHLET RANDOM NUMBERS

DISTANCE FROM MEAN (for a Matrix)

HOTELLING ONE SAMPLE TSQUARE

HOTELLING TWO SAMPLE TSQUARE

INDPENDENT UNIFORM RANDOM NUMBERS

LINEAR COMBINATION (of a Matrix and a Vector)

MATRIX ADDITION

MATRIX ADD ROW

MATRIX ADJOINT

MATRIX AUGMENT

MATRIX BIN

MATRIX COFACTOR

MATRIX COLUMN STATISTIC

MATRIX DEFINITION

MATRIX DELETE ROW

MATRIX DETERMINANAT

MATRIX DIAGONAL

MATRIX DISTANCE

MATRIX EIGENVALUES

MATRIX EIGENVECTORS

MATRIX ELEMENT

MATRIX EUCLIDEAN NORM

MATRIX GRAND STATISTIC

MATRIX GROUP MEAN

MATRIX GROUP SD

MATRIX INVERSE

MATRIX ITERATIVE SOLUTION

MATRIX MEAN

MATRIX MINOR

MATRIX MULTIPLICATION

MATRIX NUMBER OF COLUMNS

MATRIX NUMBER OF ROWS

MATRIX PARTITION STATISTIC

MATRIX RANK

MATRIX REPLACE ELEMENT

MATRIX REPLACE ROW

MATRIX ROW

MATRIX ROW STATISTIC

MATRIX SCALE

MATRIX SIMPLEX SOLUTION

MATRIX SOLUTION

MATRIX SPECTRAL NORM

MATRIX SPECTRAL RADIUS

MATRIX SUBMATRIX

MATRIX SUBTRACTION

MATRIX SUM

MATRIX TRACE

MATRIX TRANSPOSE

MATRIX TRUNCATION

MULTINOMIAL RANDOM NUMBERS

MULTIVARIATE NORMAL CDF

MULTIVARIATE NORMAL RANDOM NUMBERS

MULTIVARIATE T CDF

MULTIVARIATE T RANDOM NUMBERS

MULTIVARIATE UNIFORM RANDOM NUMBERS

POOLED VARIANCE-COVARIANCE MATRIX

PRINCIPAL COMPONENTS

QUADRATIC FORM (of a Matrix and a Vector)

SET MATRIX <CORRELATION/COVARIANCE> DIRECTION

SINGULAR VALUES

SINGULAR VALUE DECOMPOSITION

SINGULAR VALUE FACTORIZATION

TRIANGULAR INVERSE

TRIANGULAR SOLUTION

TRIDIAGONAL SOLUTION

VARIANCE-COVARIANCE MATRIX

VARIANCE INFLATION FACTORS

VECTOR TIMES TRANSPOSE

WISHART RANDOM NUMBERS

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