denorm_yj: Yeo-Johnson denormalisation
In TSrepr: Time Series Representations
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/normalizations_R.R
Description
The denorm_yj denormalises time series by Yeo-Johnson method
Usage
1
denorm_yj(x, lambda = 0.1)
Arguments
x
the numeric vector (time series) to be denormalised
lambda
the numeric value - power transformation parameter (default is 0.1)
Value
the numeric vector of denormalised values
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
denorm_z, denorm_min_max, denorm_boxcox
Examples
1
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 denorm_yj denormalises time series by Yeo-Johnson method
Usage
1 | denorm_yj(x, lambda = 0.1)
|
Arguments
x |
the numeric vector (time series) to be denormalised |
lambda |
the numeric value - power transformation parameter (default is 0.1) |
Value
the numeric vector of denormalised values
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
See Also
denorm_z, denorm_min_max, denorm_boxcox
Examples
1 |
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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