Time each index evaluation for projections in the tour path.

Index evaluation timing may depend on the data distribution, we evaluate the computing time for a set of different projections to get an overview of the distribution of computing times.

Usage

time_sequence(d, t, idx, pmax)

Arguments

d

Input data in matrix format

t

List of projection matrices (e.g. interpolated tour path)

idx

Index function

pmax

Maximum number of projections to evaluate (cut t if longer than pmax)

Value

numeric vector containing all distances

Examples

d <- spiral_data(500, 4)
t <- purrr::map(1:10, ~ tourr::basis_random(4))
idx <- scag_index("stringy")
time_sequence(d, t, idx, 10)
#> Error in d %*% pMatrix: requires numeric/complex matrix/vector arguments