DTW kernel features

The function extracts features from functional data based on the DTW distance with a reference dataframe.

extractFDADTWKernel(
  ref.method = "random",
  n.refs = 0.05,
  refs = NULL,
  dtwwindow = 0.05
)

Arguments

ref.method	(`character(1)`) How should the reference curves be obtained? Method `random` draws `n.refs` random reference curves, while `all` uses all curves as references. In order to use user-provided reference curves, this parameter is set to `fixed`.
n.refs	(`numeric(1)`) Number of reference curves to be drawn (as a fraction of the number of observations in the training data).
refs	(`matrix`\|`integer(n)`) Integer vector of training set row indices or a matrix of reference curves with the same length as the functionals in the training data. Overwrites `ref.method` and `n.refs`.
dtwwindow	(`numeric(1)`) Size of the warping window size (as a proportion of query length).