zscore: Wrapper for z-normalization

In asardaes/dtwclust: Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance

Wrapper for z-normalization

Description

Wrapper for function base::scale() that returns zeros instead of NaN. It also supports matrices, data frames, and lists of time series.

Usage

zscore(
  x,
  ...,
  multivariate = FALSE,
  keep.attributes = FALSE,
  error.check = TRUE
)

Arguments

x	Data to normalize. Either a vector, a matrix/data.frame where each row is to be normalized, or a list of vectors/matrices.
...	Further arguments to pass to base::scale().
multivariate	Is x a multivariate time series? It will be detected automatically if a list is provided in x.
keep.attributes	Should the mean and standard deviation returned by base::scale() be preserved?
error.check	Logical indicating whether the function should try to detect inconsistencies and give more informative errors messages. Also used internally to avoid repeating checks.

Details

Multivariate series must have time spanning the rows and variables spanning the columns.

Value

Normalized data in the same format as provided.

asardaes/dtwclust documentation built on March 3, 2023, 5:32 a.m.