f_rescale_local: Data Transformation: Local Rescaling of to a New Range

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Data Transformation: Local Rescaling of to a New Range

Description

Data Transformation: Local Rescaling of to a New Range

Usage

f_rescale_local(
  x = NULL,
  new_min = 0,
  new_max = 1,
  old_min = NULL,
  old_max = NULL,
  ...
)

Arguments

x	(required, zoo object) Time Series. Default: NULL
new_min	(optional, numeric) New minimum value. Default: 0
new_max	(optional_numeric) New maximum value. Default: 1
old_min	(optional, numeric) Old minimum value. Default: NULL
old_max	(optional_numeric) Old maximum value. Default: NULL
...	(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_scale_global(), f_scale_local(), f_trend_linear(), f_trend_poly()

Examples

x <- zoo_simulate(cols = 2)

y <- f_rescale_global(
  x = x,
  new_min = 0,
  new_max = 100
)

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

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