f_detrend_poly {distantia} | R Documentation |
Data Transformation: Polynomial Linear Detrending of Zoo Time Series
Description
Fits a polynomial linear model on each column of a zoo object using time as a predictor, predicts the outcome, and subtracts it from the original data to return a detrended time series. This method is a useful alternative to f_detrend_linear when the overall trend of the time series does not follow a straight line.
Usage
f_detrend_poly(x = NULL, degree = 2, center = TRUE, ...)
Arguments
x |
(required, zoo object) Zoo time series object to transform. |
degree |
(optional, integer) Degree of the polynomial. Default: 2 |
center |
(required, logical) If TRUE, the output is centered at zero. If FALSE, it is centered at the data mean. Default: TRUE |
... |
(optional, additional arguments) Ignored in this function. |
Value
zoo object
See Also
Other tsl_transformation:
f_binary()
,
f_clr()
,
f_detrend_difference()
,
f_detrend_linear()
,
f_hellinger()
,
f_list()
,
f_log()
,
f_percent()
,
f_proportion()
,
f_proportion_sqrt()
,
f_rescale_global()
,
f_rescale_local()
,
f_scale_global()
,
f_scale_local()
,
f_trend_linear()
,
f_trend_poly()
Examples
x <- zoo_simulate(cols = 2)
y <- f_detrend_poly(
x = x
)
if(interactive()){
zoo_plot(x)
zoo_plot(y)
}