context("test-eco_run_all")
species <- treeco:::species
unique_species <- unique(species$scientific_name)
unique_species_sample <- sample(unique_species, size = 50)
species <- rep(unique_species_sample, length.out = 10)
df_species <- data.frame(botanical_name = species, stringsAsFactors = FALSE)
df_species$common_name <- eco_guess(df_species$botanical_name, "common")
# Add a DBH column
df_species$dbh <- rep(sample(2:45), length.out = 10)
output <- eco_run_all(
data = df_species,
common_col = "common_name",
botanical_col = "botanical_name",
dbh_col = "dbh",
region = "InlEmpCLM",
print_time = TRUE
)
test_that("eco_run_all works", {
# Test that there are 8 variables returned
expect_equal(dim(output)[2], 8)
# Test that the print statement works, eco_run_all stores the elapsed
# time as an attribute "elapsed_time"
expect_equal(is.null(attributes(output)$elapsed_time), FALSE)
# Test that inappropriate values to n are handled correctly
expect_warning(eco_run_all(
data = df_species,
common_col = "common_name",
botanical_col = "botanical_name",
dbh_col = "dbh",
region = "InlEmpCLM",
n = 1.1,
print_time = TRUE
))
expect_warning(eco_run_all(
data = df_species,
common_col = "common_name",
botanical_col = "botanical_name",
dbh_col = "dbh",
region = "InlEmpCLM",
n = -0.1,
print_time = TRUE
))
expect_error(eco_run_all(
data = df_species,
common_col = "common_name",
botanical_col = "botanical_name",
dbh_col = "dbh",
region = "InlEmpCLM",
n = 0.9,
unit = "IN",
print_time = TRUE
))
})
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