f_scale_local: Data Transformation: Local Centering and Scaling

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Data Transformation: Local Centering and Scaling

Description

Scaling and/or centering by variable and time series. Local scaling helps dynamic time warping focus entirely on shape comparisons.

Usage

f_scale_local(x = NULL, center = TRUE, scale = TRUE, ...)

Arguments

x	(required, zoo object) Zoo time series object to transform.
center	(optional, logical or numeric vector) Triggers centering if TRUE. Default: TRUE
scale	(optional, logical or numeric vector) Triggers scaling if TRUE. Default: TRUE
...	(optional, additional arguments) Ignored in this function.

Value

zoo object

See Also

Other tsl_transformation: f_binary(), f_clr(), f_detrend_difference(), f_detrend_linear(), f_detrend_poly(), f_hellinger(), f_list(), f_log(), f_percent(), f_proportion(), f_proportion_sqrt(), f_rescale_global(), f_rescale_local(), f_scale_global(), f_trend_linear(), f_trend_poly()

Examples

x <- zoo_simulate()

y <- f_scale_global(
  x = x
)

if(interactive()){
  zoo_plot(x)
  zoo_plot(y)
}

distantia documentation built on April 4, 2025, 5:42 a.m.