context("merge rcurvep objects")
data("zfishbeh")
dat <- zfishbeh
# decreasing/no sampling
out1 <- combi_run_rcurvep(
dat, n_samples = NULL, TRSH = 10, keep_sets = c("act_set", "resp_set"))
# decreasing/no sampling + mask
out2 <- combi_run_rcurvep(
dat, n_samples = NULL, TRSH = 10, mask = 1, keep_sets = c("act_set", "resp_set"))
# increasing/no sampling
out3 <- combi_run_rcurvep(
dat, n_samples = NULL, TRSH = 10, mask = 1, RNGE = 1000000, keep_sets = c("act_set", "resp_set"))
# decreasing/sampling
out4 <- combi_run_rcurvep(
dat, n_samples = 2, TRSH = 10, seed = 300)
# increasing/sampling
out5 <- combi_run_rcurvep(
dat, n_samples = 2, TRSH = 10, RNGE = 100000, seed = 300)
# hill fit
out6 <- run_fit(zfishbeh, keep_sets = "fit_set", modls = "hill")
# decreasing/sampling but only act_set
set.seed(300)
out7 <- combi_run_rcurvep(
dat, n_samples = 2, TRSH = 10, keep_sets = c("act_set", "resp_set"))
test_that("cannot merge + weird merge", {
# curvpe != hill
expect_error(merge_rcurvep_objs(out1, out6))
# size of lsets
expect_error(merge_rcurvep_objs(out1, out4))
# can merge but may not meaningful
expect_length(merge_rcurvep_objs(out1, out7), 2)
})
test_that("merge objects", {
m1 <- merge_rcurvep_objs(out1, out2, out3)
expect_true(nrow(m1$result$act_set) == 22)
m2 <- merge_rcurvep_objs(out4, out5)
expect_true(nrow(m2$result$act_set) == 44)
})
test_that("summarize the merged object", {
# can merge
m1 <- merge_rcurvep_objs(out1, out2, out3)
out <- summarize_rcurvep_output(m1, inactivate = c(2, 3), clean_only = TRUE)
expect_length(out, 2)
# can merge
m2 <- merge_rcurvep_objs(out4,out5)
out <- summarize_rcurvep_output(m2, inactivate = c(2, 3), clean_only = TRUE)
expect_length(out, 2)
## note the results is not 22 anymore because the base cols are different
out <- summarize_rcurvep_output(m2, inactivate = c(2, 3), clean_only = TRUE)
expect_true(nrow(m2$result$act_set) != 22)
})
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