ts_standardise: Standardise a vector

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Standardise a vector

Description

Standardise a vector

Usage

ts_standardise(
  y,
  na.rm = TRUE,
  keepNAvalues = TRUE,
  type = c("mean.sd", "median.mad")[1],
  adjustN = TRUE
)

Arguments

y	A time series or numeric vector
na.rm	Set the na.rm field
keepNAvalues	If na.rm = TRUE and keepNAvalues = TRUE, any NA values in y will be re-inserted after transformation.
type	Center on the "mean" and divide by sd (default), or center on "median" and divide by mad
adjustN	If TRUE, apply Bessel's correction (divide by N-1) or return the unadjusted SD (divide by N) (default = TRUE)

Value

A standardised vector

Author(s)

Fred Hasselman

See Also

Other Time series operations: ts_center(), ts_changeindex(), ts_checkfix(), ts_detrend(), ts_diff(), ts_discrete(), ts_duration(), ts_embed(), ts_integrate(), ts_levels(), ts_peaks(), ts_permtest_block(), ts_permtest_transmat(), ts_rasterize(), ts_sd(), ts_slice(), ts_slopes(), ts_sumorder(), ts_symbolic(), ts_trimfill(), ts_windower()

FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.