context("create_observation_ancillary()")
library(ecocomDP)
# create_observation_ancillary() ----------------------------------------------
testthat::test_that("Standard L1 column inputs", {
for (i in c("df", "tbbl")) {
if (i == "df") { # test w/data.frame
flat <- as.data.frame(ants_L0_flat)
} else { # test w/tibble
flat <- ants_L0_flat
}
crit <- read_criteria()
res <- create_observation_ancillary(
L0_flat = flat,
observation_id = "observation_id",
variable_name = c("trap.type", "trap.num", "moose.cage"))
# Has expected classes and columns
if (i == "df") {
expect_true(all(class(res) %in% "data.frame"))
} else {
expect_true(all(c("tbl_df", "tbl", "data.frame") %in% class(res)))
}
crit_cols <- stats::na.omit(crit$column[crit$table == "observation_ancillary"])
expect_true(all(crit_cols %in% colnames(res)))
# Is not empty
expect_true(nrow(res) != 0)
}
})
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