f_hellinger: Data Transformation: Rowwise Hellinger Transformation

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Data Transformation: Rowwise Hellinger Transformation

Description

Transforms the input zoo object to proportions via f_proportion and then applies the Hellinger transformation.

Usage

f_hellinger(x = NULL, ...)

Arguments

x	(required, zoo object) Zoo time series object to transform.
...	(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_list(), f_log(), f_percent(), f_proportion(), f_proportion_sqrt(), f_rescale_global(), f_rescale_local(), f_scale_global(), f_scale_local(), f_trend_linear(), f_trend_poly()

Examples

x <- zoo_simulate(
  cols = 5,
  data_range = c(0, 500)
  )

y <- f_hellinger(
  x = x
)

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

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