Data Transformation: Local Centering and Scaling
Scaling and/or centering by variable and time series. Local scaling helps dynamic time warping focus entirely on shape comparisons.
f_scale_local(x = NULL, center = TRUE, scale = TRUE, ...)
x
: (required, zoo object) Zoo time series object to transform.center
: (optional, logical or numeric vector) Triggers centering if TRUE. Default: TRUEscale
: (optional, logical or numeric vector) Triggers scaling if TRUE. Default: TRUE...
: (optional, additional arguments) Ignored in this function.zoo object
x <- zoo_simulate() y <- f_scale_global( x = x ) if(interactive()){ zoo_plot(x) zoo_plot(y) }
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_rescale_local()
, f_scale_global()
, f_trend_linear()
, f_trend_poly()