norm_boxcox: Two-parameter Box-Cox normalisation
In TSrepr: Time Series Representations
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/normalizations_R.R
Description
The norm_boxcox normalises time series by two-parameter Box-Cox normalisation.
Usage
1
norm_boxcox(x, lambda = 0.1, gamma = 0)
Arguments
x
the numeric vector (time series)
lambda
the numeric value - power transformation parameter (default is 0.1)
gamma
the non-negative numeric value - parameter for holding the time series positive (offset) (default is 0)
Value
the numeric vector of normalised values
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
norm_z, norm_min_max, norm_atan
Examples
1
norm_boxcox(runif(50))
TSrepr documentation built on July 13, 2020, 9:07 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/normalizations_R.R
Description
The norm_boxcox normalises time series by two-parameter Box-Cox normalisation.
Usage
1 | norm_boxcox(x, lambda = 0.1, gamma = 0)
|
Arguments
x |
the numeric vector (time series) |
lambda |
the numeric value - power transformation parameter (default is 0.1) |
gamma |
the non-negative numeric value - parameter for holding the time series positive (offset) (default is 0) |
Value
the numeric vector of normalised values
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
norm_z, norm_min_max, norm_atan
Examples
1 | norm_boxcox(runif(50))
|
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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