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