timeSequence.Rd
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.
timeSequence(d, t, idx, pmax)
numeric vector containing all distances
d <- spiralData(4, 500)
t <- purrr::map(1:10, ~ tourr::basis_random(4))
idx <- scagIndex("stringy")
timeSequence(d, t, idx, 10)
#> t i
#> 1 0.053 1
#> 2 0.055 2
#> 3 0.055 3
#> 4 0.052 4
#> 5 0.056 5
#> 6 0.056 6
#> 7 0.054 7
#> 8 0.058 8
#> 9 0.071 9
#> 10 0.055 10