f_detrend_linear function

Data Transformation: Linear Detrending of Zoo Time Series

Data Transformation: Linear Detrending of Zoo Time Series

Fits a 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 might not be suitable if the input data is not seasonal and has a clear trend, so please be mindful of the limitations of this function when applied blindly.

f_detrend_linear(x = NULL, center = TRUE, ...)

Arguments

  • x: (required, zoo object) Zoo time series object to transform.
  • 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.

Returns

zoo object

Examples

x <- zoo_simulate(cols = 2) y <- f_detrend_linear( x = x ) if(interactive()){ zoo_plot(x) zoo_plot(y) }

See Also

Other tsl_transformation: f_binary(), f_clr(), f_detrend_difference(), 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_scale_local(), f_trend_linear(), f_trend_poly()

  • Maintainer: Blas M. Benito
  • License: MIT + file LICENSE
  • Last published: 2025-02-01