test_that("Does function return correct error message when the user provides additional columns with character strings other than spp and iter", {
fake_data$character_col_1 <- "some text"
fake_data$character_col_2 <- "some text"
# Create temporary file and dir
input_path <- withr::local_tempfile(fileext = ".csv")
output_path <- withr::local_tempdir()
# Save the data to the temporary file
write.csv(fake_data, file = input_path)
expect_error(CompositeTrend(
indata = input_path,
output_path = output_path,
trend_choice = "arithmetic_logit_occ",
group_name = "TestGroup",
save_iterations = "yes",
TrendScale = 100,
plot_output = FALSE), regexp = "Column\\(s\\) contains non-numeric fields")
})
test_that("Does the rbind of NULL value with a row work without error", {
composite_trend_temp <- data.frame(
X1985 = 1, X1986 = 1, X1987 = 1, X1988 = 1,
X1989 = 1, X1990 = 1, X1991 = 1, X1992 = 1, X1993 = 1, X1994 = 1
)
expect_equal(nrow(rbind(NULL, composite_trend_temp)), nrow(composite_trend_temp))
})
test_that("Does the composite_trend object have the same number of rows as there are interations, and the same columns as there are years?", {
# Create temporary file and dir
input_path <- withr::local_tempfile(fileext = ".csv")
output_path <- withr::local_tempdir()
# Save the data to the temporary file
write.csv(fake_data, file = input_path)
composite_trend <- CompositeTrend_objects(
indata = input_path,
output_path = output_path,
trend_choice = "arithmetic_logit_occ",
group_name = "TestGroup",
save_iterations = "yes",
TrendScale = 100,
plot_output = FALSE
)$composite_trend
expect_equal(dim(composite_trend)[1], n_iterations)
expect_equal(dim(composite_trend)[2], n_years)
})
test_that("Is the composite_trend object a dataframe?", {
# Create temporary file and dir
input_path <- withr::local_tempfile(fileext = ".csv")
output_path <- withr::local_tempdir()
# Save the data to the temporary file
write.csv(fake_data, file = input_path)
composite_trend <- CompositeTrend_objects(
indata = input_path,
output_path = output_path,
trend_choice = "arithmetic_logit_occ",
group_name = "TestGroup",
save_iterations = "yes",
TrendScale = 100,
plot_output = FALSE
)$composite_trend
expect_equal(class(composite_trend), c("matrix", "array"))
})
test_that("Is the composite_trend_summary object a dataframe?", {
# Create temporary file and dir
input_path <- withr::local_tempfile(fileext = ".csv")
output_path <- withr::local_tempdir()
# Save the data to the temporary file
write.csv(fake_data, file = input_path)
composite_trend_summary <- CompositeTrend_objects(
indata = input_path,
output_path = output_path,
trend_choice = "arithmetic_logit_occ",
group_name = "TestGroup",
save_iterations = "yes",
TrendScale = 100,
plot_output = FALSE
)$composite_trend_summary
expect_equal(class(composite_trend_summary), "data.frame")
})
test_that("Is the composite_trend_summary object a ggplot?", {
# Create temporary file and dir
input_path <- withr::local_tempfile(fileext = ".csv")
output_path <- withr::local_tempdir()
# Save the data to the temporary file
write.csv(fake_data, file = input_path)
plot <- CompositeTrend_objects(
indata = input_path,
output_path = output_path,
trend_choice = "arithmetic_logit_occ",
group_name = "TestGroup",
save_iterations = "yes",
TrendScale = 100,
plot_output = TRUE
)$plot
print(class(plot))
expect_equal(class(plot), c("gg", "ggplot"))
})
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