Shape Distance Matrix

Compute the pairwise shape distance matrix for functional data in a specified quotient space.

Usage

shape.distance.matrix(
  fdataobj,
  quotient = c("reparameterization", "translation", "scale"),
  lambda = 0
)

Arguments

fdataobj

An object of class fdata.

quotient

Character: the quotient space. One of "reparameterization", "translation", or "scale".

lambda

Regularization parameter (default 0).

Value

A symmetric distance matrix (n x n).

References

Srivastava, A. and Klassen, E. (2016). Functional and Shape Data Analysis. Springer.

See also

shape.distance, shape.mean, elastic.distance

Examples

# \donttest{
set.seed(1)
t <- seq(0, 1, length.out = 30)
X <- matrix(0, 8, 30)
for (i in 1:8) X[i, ] <- sin(2 * pi * (t - i / 40))
fd <- fdata(X, argvals = t)
D <- shape.distance.matrix(fd, quotient = "reparameterization")
# }