Scaling and/or centering by variable using the mean and standard deviation computed across all time series. Global scaling helps dynamic time warping take variable offsets between time series into account.
Arguments
- x
(required, zoo object) Zoo time series object to transform.
- center
(optional, logical or numeric vector) Triggers centering if TRUE. Default: TRUE
- scale
(optional, logical or numeric vector) Triggers scaling if TRUE. Default: TRUE
- .global
(optional, logical) Used to trigger global scaling within
tsl_transform().- ...
(optional, additional arguments) Ignored in this function.
See also
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_local(),
f_trend_linear(),
f_trend_poly()
Examples
x <- zoo_simulate()
y <- f_scale_global(
x = x
)
if(interactive()){
zoo_plot(x)
zoo_plot(y)
}