utils_rescale_vector: Rescale Numeric Vector to a New Data Range

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Rescale Numeric Vector to a New Data Range

Description

Rescale Numeric Vector to a New Data Range

Usage

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

Arguments

x	(required, numeric vector) Numeric vector. 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

Value

numeric vector

See Also

Other tsl_processing_internal: utils_drop_geometry(), utils_global_scaling_params(), utils_optimize_loess(), utils_optimize_spline()

Examples

 out <- utils_rescale_vector(
   x = stats::rnorm(100),
   new_min = 0,
   new_max = 100,
   )

 out

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