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# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General
# Public License along with this library; if not, write to the
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston,
# MA 02111-1307 USA
# Copyrights (C)
# for this R-port:
# 1999 - 2004, Diethelm Wuertz, GPL
# Diethelm Wuertz <wuertz@itp.phys.ethz.ch>
# info@rmetrics.org
# www.rmetrics.org
# for the code accessed (or partly included) from other R-ports:
# see R's copyright and license files
# for the code accessed (or partly included) from contributed R-ports
# and other sources
# see Rmetrics's copyright file
################################################################################
# GENERATION: DESCRIPTION:
# matrix R Creates a matrix from the given set of values
# diag R Creates a diagonal matrix or extracts diagonals
# triang M Extracs the lower tridiagonal part from a matrix
# Triang M Extracs the upper tridiagonal part from a matrix
# pascal M Creates a Pascal matrix
# colVec M Creates a column vector from a vector
# rowVec M Creates a row vector from a vector
# as.matrix R Attempts to turn its argument into a matrix
# is.matrix R Tests if its argument is a (strict) matrix
# dimnames R Retrieves or sets the dimnames of an object
# colnames|rownames R Retrieves or sets the row or column names
# colIds|rowIds M ... use alternatively
# colIds<-|rowIds<- M ... for assignments
# SUBSETS: DESCRIPTION:
# dim R Returns the dimension of a matrix object
# ncol|nrow R Counts columns|rows of a matrix object
# length R Counts elements of a matrix object
# "["|"[[" R Subsets a matrix object
# (Arith) R Elementwise Arithmetic: + - * /
# (Lops) R Elementwise logical Ops: > < >= <= == !=
# cbind|rbind R Augments a matrix object by columns|rows
# na.omit R Removes NA from a matrix object
# BASIC STATISTICS: DESCRIPTION:
# var R returns the variance matrix
# cov R returns the covariance matrix
# col|rowStats B calculates column|row statistics
# col|rowMeans R calculates column|row means
# col|rowAvgs B calculates column|row averages
# col|rowVars B calculates column|row variances
# col|rowStdevs B calculates column|row standard deviations
# col|rowSkewness B calculates column|row skewness
# col|rowKurtosis B calculates column|row kurtosis
# col|rowCumsums B calculates column|row cumulated sums
# LINEAR ALGEBRA: DESCRIPTION:
# t R returns the transposed matrix
# det R returns the determinant of a matrix
# inv|chol2inv M|R returns the inverse of a matrix
# norm M returns the norm of a matrix
# rk M returns the rank of a matrix
# tr M returns the trace of a matrix
# %*% R returns the product of two matrices
# %x%|kron R|S returns the Kronecker product
# mexp M computes the exponential of a square matrix
# vec M is the operator that stacks a matrix
# vech M is the operator that stacks the lower triangle
# MORE LINEAR ALGEBRA: DESCRIPTION:
# chol R returns the Cholesky factor matrix
# eigen R returns eigenvalues and eigenvectors
# svd R returns the singular value decomposition
# kappa R returns the condition number of a matrix
# qr R returns the QR decomposition of a matrix
# solve R solves a system of linear equations
# backsolve R ... use when the matrix is upper triangular
# forwardsolve R ... use when the matrix is lower triangular
# TIME SERIES DESCRIPTION:
# tslag R Lagged or leading vector/matrix of selected order(s)
# .tslag1 Internal Function used by tslag
# pdl R Regressor matrix for polynomial distributed lags
################################################################################
### Uncomplete - Under Development ###
test.helpFile =
function()
{
# Help File:
helpFile = function() {
example(OutlierDetection); return() }
checkIdentical(
target = class(try(helpFile())),
current = "NULL")
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.generate =
function()
{
# Generate:
D = diag(3)
D
P = pascal(3)
P
triang(P)
Triang(P)
v = 1:3
colVec(v)
rowVec(v)
# Return Value:
return()
}
# ------------------------------------------------------------------------------
if (FALSE) {
require(RUnit)
testResult = runTestFile("C:/Rmetrics/SVN/trunk/fMultivar/test/runit6C.R")
printTextProtocol(testResult)
}
################################################################################
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