NNS.norm: NNS Normalization

Description Usage Arguments Value Author(s) References Examples

View source: R/Normalization.R

Description

Normalizes a matrix of variables based on nonlinear scaling normalization method.

Usage

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NNS.norm(A, chart.type = NULL, linear = FALSE)

Arguments

A

a numeric matrix or data frame.

chart.type

options: ("l", "b"); NULL (default). Set (chart.type = "l") for line, (chart.type = "b") for boxplot.

linear

logical; FALSE (default) Performs a linear scaling normalization, resulting in equal means for all variables.

Value

Returns a data.frame of normalized values.

Author(s)

Fred Viole, OVVO Financial Systems

References

Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" http://amzn.com/1490523995

Examples

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set.seed(123)
x <- rnorm(100) ; y<-rnorm(100)
A <- cbind(x, y)
NNS.norm(A)

NNS documentation built on April 15, 2019, 5:05 p.m.