Description Usage Arguments Details Value Examples
align_arc()
matches archetypes in arc2 to arc1 by solving a bipartite matching problem on euclidian distances between archetypes.
gen_permut()
used for exhaustive search generates a matrix of all possible permutations of n elements. Each row is a different permutation.
1 2 3 | align_arc(arc1, arc2, type = c("lpsolve", "exhaustive")[1])
gen_permut(n)
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arc1 |
reference matrix of archetype positions dim(dimensions, archetypes) |
arc2 |
matrix of archetype positions dim(dimensions, archetypes) to be aligned with arc1 |
type |
method for finding matching vertices. Linear programming (lpsolve) or exhaustive search (do not use for more than 10 vertices) |
n |
number of element to permute |
gen_permut()
function is taken from https://stackoverflow.com/questions/11095992/generating-all-distinct-permutations-of-a-list-in-r
align_arc()
list containing: total distance between archetypes in arc1 and arc2 (dist), integer vector specifying indices of archetypes in arc2 that match archetypes in arc1 (ind)
gen_permut()
a matrix of all possible gen_permut (in rows)
1 2 3 4 5 6 7 8 9 10 11 12 | # Generate data
set.seed(4355)
archetypes = generate_arc(arc_coord = list(c(5, 0), c(-10, 15), c(-30, -20)),
mean = 0, sd = 1)
data = generate_data(archetypes$XC, N_examples = 1e4, jiiter = 0.04, size = 0.9)
dim(data)
# fit polytopes to 2 subsamples of the data
arc_data = fit_pch_bootstrap(data, n = 2, sample_prop = 0.65, seed = 2543,
order_type = "align", noc = as.integer(6),
delta = 0, type = "s")
# align archetypes
align_arc(arc_data$pch_fits$XC[[1]], arc_data$pch_fits$XC[[2]])
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