ops: Optimal Power Space Transformation
Version 1.0

Comparison of data by Pearson product-moment correlation coefficients is prone to outliers. The problem can be alleviated by normalizing data with outliers before computing the Pearson correlation coefficient. The sample provides such normalization by optimal power space transformation.

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AuthorMicha Sammeth
Date of publication2012-02-20 06:28:20
MaintainerMicha Sammeth <micha@sammeth.net>
LicenseApache License 2.0
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ops")

Man pages

distance: Relative Euclidean Distance from Source
filter: Filter matrix
findP: Find Power Exponent
ops-package: Optimal Power Space Transformation

Functions

distance Man page Source code
filter Man page Source code
findP Man page Source code
ops Man page
ops-package Man page

Files

MD5
R
R/findP.R
R/filter.R
R/distance.R
NAMESPACE
man
man/ops-package.Rd
man/findP.Rd
man/filter.Rd
man/distance.Rd
DESCRIPTION
ops documentation built on May 19, 2017, 7:42 a.m.