Nothing
#### Tests for spatiotemporal module ####
test_that("Neighborhoods errors and warnings are thrown", {
# error on parameters
expect_error(neighborhoods(c(5001, 5148, 5206, 5266, 5088, 5440, 5615)))
expect_warning(neighborhoods(c(
"0500010", "05148", "05206", "05266", "05088",
"05440", "05615"
)))
})
test_that("Neighborhoods are built as expected", {
# class
expect_s3_class(
neighborhoods(c(
"05001", "05148", "05206", "05266", "05088", "05440",
"05615"
)),
"nb"
)
expect_length(
neighborhoods(c(
"05001", "05148", "05206", "05266", "05088", "05440",
"05615"
))$neighbours,
7
)
expect_length(
neighborhoods(c(
"05001", "0500148", "15206", "05266", "05088", "05440",
"05615"
))$neighbours,
5
)
})
## Incidence objects for morans Index
# Functional incidence object
set.seed(3)
sample_groups <- c(
"05001", "05148", "05615", "05088", "05266", "05440",
"05318", "05368", "05659", "91001"
)
sample_data <- sample(sample_groups, 200, replace = TRUE)
sample_df <- data.frame(GROUP = sample_data)
sample_df$CASES <- "2012-03-01"
incidence_object <- incidence::incidence(sample_df$CASES,
interval = "month",
groups = sample_df$GROUP
)
# Failing incidence object
sample_data_2 <- as.integer(sample(1:50, 200, replace = TRUE))
sample_dates_2 <- as.Date("2018-12-31") + sample_data_2
sample_groups_2 <- sample(c("05001", "05264", "05615", "05607"), 200,
replace = TRUE
)
sample_df_2 <- data.frame(CASES = sample_dates_2, GROUP = sample_groups_2)
incidence_object_2 <- incidence::incidence(sample_df_2$CASES,
interval = "weeks",
groups = sample_df_2$GROUP
)
test_that("Morans Index errors and warnings are thrown", {
expect_error(morans_index(c(20, 53, 90, 63), 2, plot = FALSE))
expect_error(morans_index(incidence_object_2,
threshold = 2, plot = FALSE
))
expect_error(morans_index(incidence_object,
threshold = "2", plot = FALSE
))
expect_error(morans_index(incidence_object,
threshold = 2, plot = "FALSE"
))
expect_message(morans_index(incidence_object,
threshold = 12, plot = TRUE
))
})
test_that("Morans Index works as expected", {
expect_type(morans_index(incidence_object,
threshold = 1, plot = FALSE
), type = "list")
expect_length(morans_index(incidence_object,
threshold = 1, plot = FALSE
), n = 2)
expect_type(morans_index(incidence_object,
threshold = 2, plot = TRUE
), type = "list")
})
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