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# ==============================================================================
# scclust for R -- R wrapper for the scclust library
# https://github.com/fsavje/scclust-R
#
# Copyright (C) 2016-2017 Fredrik Savje -- http://fredriksavje.com
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see http://www.gnu.org/licenses/
# ==============================================================================
library(scclust)
context("nng_clustering_batches")
source("config.R", local = TRUE)
source("../replica/replica_make_nng.R", local = TRUE)
source("../replica/replica_nng_batches.R", local = TRUE)
source("utils_nng.R", local = TRUE)
test_that("`nng_clustering_batches` returns correct output", {
test_nng_batch_against_replica(test_distances1,
2L,
"ignore",
NULL,
NULL,
10L)
test_nng_batch_against_replica(test_distances1,
3L,
"ignore",
NULL,
NULL,
100L)
test_nng_batch_against_replica(test_distances1,
6L,
"ignore",
NULL,
NULL,
10L)
test_nng_batch_against_replica(test_distances1,
10L,
"ignore",
NULL,
NULL,
100L)
test_nng_batch_against_replica(test_distances1,
2L,
"any_neighbor",
NULL,
NULL,
10L)
test_nng_batch_against_replica(test_distances1,
2L,
"ignore",
NULL,
primary_data_points,
10L)
test_nng_batch_against_replica(test_distances1,
3L,
"ignore",
NULL,
primary_data_points,
100L)
test_nng_batch_against_replica(test_distances1,
6L,
"ignore",
NULL,
primary_data_points,
10L)
test_nng_batch_against_replica(test_distances1,
10L,
"ignore",
NULL,
primary_data_points,
100L)
test_nng_batch_against_replica(test_distances1,
2L,
"any_neighbor",
NULL,
primary_data_points,
10L)
test_nng_batch_against_replica(test_distances1,
2L,
"ignore",
test_radius,
NULL,
10L)
test_nng_batch_against_replica(test_distances1,
3L,
"ignore",
test_radius,
NULL,
100L)
test_nng_batch_against_replica(test_distances1,
2L,
"any_neighbor",
test_radius,
NULL,
10L)
test_nng_batch_against_replica(test_distances1,
2L,
"ignore",
test_radius,
primary_data_points,
10L)
test_nng_batch_against_replica(test_distances1,
3L,
"ignore",
test_radius,
primary_data_points,
100L)
test_nng_batch_against_replica(test_distances1,
2L,
"any_neighbor",
test_radius,
primary_data_points,
10L)
})
test_that("`nng_clustering_batches` returns correct output (combinations)", {
skip_on_cran()
skip_if_not(run_slow_tests)
for (unassigned_method in c("ignore", "any_neighbor")) {
for (radius in c(0, 0.1, 0.2)) {
for (do_primary_data_points in c("N", "Y")) {
for (batch_size in c(1L, 10L, 100L, 1000L)) {
use_primary_data_points <- NULL
if (do_primary_data_points == "Y") use_primary_data_points <- primary_data_points
use_radius <- radius
if (use_radius == 0) use_radius <- NULL
#cat(c(unassigned_method,
# use_radius,
# is.null(use_primary_data_points),
# batch_size), "\n")
test_nng_batch_against_replica(test_distances1,
2L,
unassigned_method,
use_radius,
use_primary_data_points,
batch_size)
}
}
}
}
})
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