pareto: Pareto Scaling
In ChristianGoueguel/specProc: Preprocessing Tools For Laser-Induced Breakdown Spectroscopy (LIBS) Spectra
pareto R Documentation
Pareto Scaling
Description
This function performs Pareto scaling on a numeric matrix or data frame.
Pareto scaling scales each variable (column) by dividing it by the square
root of its standard deviation.
Usage
pareto(x, drop.na = FALSE)
Arguments
x
A numeric matrix or data frame to be scaled.
drop.na
A logical value indicating whether to remove missing values
(NA) from the calculations. If TRUE (the default), missing values will be
removed. If FALSE, missing values will be included.
Value
A numeric matrix or data frame with the same dimensions as x,
but with each variable scaled by the square root of its standard deviation.
Author(s)
Christian L. Goueguel
ChristianGoueguel/specProc documentation built on Nov. 9, 2024, 3:23 p.m.
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| pareto | R Documentation |
Pareto Scaling
Description
This function performs Pareto scaling on a numeric matrix or data frame. Pareto scaling scales each variable (column) by dividing it by the square root of its standard deviation.
Usage
pareto(x, drop.na = FALSE)
Arguments
x |
A numeric matrix or data frame to be scaled. |
drop.na |
A logical value indicating whether to remove missing values
(NA) from the calculations. If |
Value
A numeric matrix or data frame with the same dimensions as x,
but with each variable scaled by the square root of its standard deviation.
Author(s)
Christian L. Goueguel
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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