The theoretical best basis is usually known for a simulated problem. Augment this information into the data object allows for evaluating the performance of optimisation against the theory.
bind_theoretical(dt, matrix, index, raw_data)
a data object collected by the projection pursuit guided tour optimisation in the tourr
package
a matrix of the theoretical basis
the index function used to calculate the index value
a tibble of the original data used to calculate the index value
a tibble object containing both the searched and theoretical best bases
Other bind:
bind_random_matrix()
,
bind_random()
best <- matrix(c(0, 1, 0, 0, 0), nrow = 5)
tail(holes_1d_better %>% bind_theoretical(best, tourr::holes(), raw_data = boa5), 1)
#> # A tibble: 1 × 8
#> basis index_val info method alpha tries loop id
#> <list> <dbl> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 <dbl [5 × 1]> 0.931 theoretical NA NA NA NA 0