QTS Distance Matrix Computation

This function massages an input sample of quaternion time series to turn it into a pairwise distance matrix.

Usage

dist(x, metric, ...)

# S3 method for default
dist(
  x,
  metric = c("euclidean", "maximum", "manhattan", "canberra", "binary", "minkowski"),
  diag = FALSE,
  upper = FALSE,
  p = 2,
  ...
)

# S3 method for qts_sample
dist(
  x,
  metric = c("l2", "pearson", "dtw"),
  warping_class = c("affine", "dilation", "none", "shift", "srsf"),
  cluster_on_phase = FALSE,
  labels = NULL,
  ...
)

Arguments

x: A numeric matrix, data frame, stats::dist object or object of class qts_sample specifying the sample on which to compute the pairwise distance matrix.
metric: A character string specifying the distance measure to be used. This must be one of "euclidean", "maximum", "manhattan", "canberra", "binary" or "minkowski" if x is not a QTS sample. Otherwise, it must be one of "l2", "pearson" or "dtw".
...: not used.
diag: logical value indicating whether the diagonal of the distance matrix should be printed by print.dist.
upper: logical value indicating whether the upper triangle of the distance matrix should be printed by print.dist.
p: The power of the Minkowski distance.
warping_class: A string specifying the warping class Choices are "affine", "dilation", "none", "shift" or "srsf". Defaults to "affine". The SRSF class is the only class which is boundary-preserving.
cluster_on_phase: A boolean specifying whether clustering should be based on phase variation or amplitude variation. Defaults to FALSE which implies amplitude variation.
labels: A character vector specifying curve labels. Defaults to NULL which uses sequential numbers as labels.

Value

An object of class stats::dist.

Examples

D <- dist(vespa64$igp[1:5])