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. (numeric(1)) Number of reference curves to be drawn (as a fraction of the number of observations in the training data). (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. (numeric(1)) Size of the warping window size (as a proportion of query length).

## Value

(data.frame).

Other fda_featextractor: extractFDABsignal(), extractFDAFPCA(), extractFDAFourier(), extractFDAMultiResFeatures(), extractFDATsfeatures(), extractFDAWavelets()