Description Usage Arguments Value Examples
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.
1 | timeSequence(d, t, idx, pmax)
|
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) |
numeric vector containing all distances
1 2 3 4 | d <- spiralData(4, 1000)
t <- purrr::rerun(10, tourr::basis_random(4))
idx <- scagIndex("Skinny")
timeSequence(d, t, idx, 10)
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