Nothing
test_that(".waiter_ui works", {
# Valid types return tagList with 2 element
for (type in .const()$ui$loading_types) {
golem::expect_shinytaglist(.waiter_ui(type))
}
expect_error(
.waiter_ui("invalid"),
"Assertion on 'loading_type' failed"
)
})
test_that(".create_guide works", {
for (section in .const()$ui$guide_sections) {
golem::expect_shinytag(.create_guide(section))
}
expect_error(
.create_guide("invalid"),
"Assertion on 'open' failed"
)
})
test_that(".create_model_tab works", {
skip_on_cran()
golem::expect_shinytag(
.create_model_tab(
ns = function(id) id,
model = example_model(),
last_tab_id = NULL
)
)
})
test_that(".est_map_ui works", {
skip_on_cran()
# County map with slider
golem::expect_shinytaglist(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = TRUE),
geo_scale = "county",
geo_view = "map"
)
)
# County map without slider
golem::expect_shinytaglist(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = FALSE),
geo_scale = "county",
geo_view = "map"
)
)
# State map with slider
golem::expect_shinytaglist(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = TRUE),
geo_scale = "state",
geo_view = "map"
)
)
# State map without slider
golem::expect_shinytaglist(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = FALSE),
geo_scale = "state",
geo_view = "map"
)
)
# Error for invalid geo_scale
expect_error(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = FALSE),
geo_scale = "invalid",
geo_view = "map"
),
"Assertion on 'geo_scale' failed"
)
# Error for invalid geo_view
expect_error(
.est_map_ui(
ns = function(id) id,
model = example_model(is_timevar = FALSE),
geo_scale = "state",
geo_view = "invalid"
),
"Assertion on 'geo_view' failed"
)
})
test_that(".plot_height works", {
expect_equal(.plot_height(n = 3, is_timevar = TRUE), 900)
expect_equal(.plot_height(n = 3, is_timevar = FALSE), 550)
expect_equal(.plot_height(n = 1, is_timevar = TRUE), 550)
expect_equal(.plot_height(n = 1, is_timevar = FALSE), 550)
})
test_that(".vis_cat_select works", {
# Test general case with linking geography
expect_setequal(
.vis_cat_select(
metadata = list(
special_case = NULL,
is_timevar = TRUE,
family = "binomial"
),
linkdata = list(link_geo = "zip")
),
c("indiv", "geo", "outcome")
)
# Test time-varying data w/out linking geography
expect_setequal(
.vis_cat_select(
metadata = list(
special_case = NULL,
is_timevar = TRUE,
family = "binomial"
),
linkdata = list(link_geo = NULL)
),
c("indiv", "outcome")
)
# Test cross-sectional data w/ linking geography
expect_setequal(
.vis_cat_select(
metadata = list(
special_case = NULL,
is_timevar = FALSE,
family = "binomial"
),
linkdata = list(link_geo = NULL)
),
c("indiv")
)
})
test_that(".vis_subcat_select works", {
### COVID data
md_covid <- list(special_case = "covid", is_timevar = TRUE)
ld_covid <- list(link_geo = "zip")
# Test individual characteristics
out <- .vis_subcat_select("indiv", md_covid, ld_covid)
expect_equal(out$label, "2. Select characteristic")
expect_setequal(out$choices, c("sex", "race", "age"))
# Test geographic characteristics (covariates
# available for zip-level data)
out <- .vis_subcat_select("geo", md_covid, ld_covid)
expect_equal(out$label, "2. Select characteristic")
expect_setequal(
out$choices,
c("sample", "college", "poverty",
"employment", "income", "urbanicity", "adi")
)
# Test outcome
out <- .vis_subcat_select("outcome", md_covid, ld_covid)
expect_equal(out$label, "2. Select plot type")
expect_setequal(out$choices, c("overall", "by_geo"))
### Polling data
md_poll <- list(special_case = "poll", is_timevar = FALSE)
ld_poll <- list(link_geo = "state")
# Test individual characteristics
out <- .vis_subcat_select("indiv", md_poll, ld_poll)
expect_setequal(out$choices, c("sex", "race", "age", "edu"))
# Test geographic characteristics
out <- .vis_subcat_select("geo", md_poll, ld_poll)
expect_setequal(out$choices, c("sample"))
# Test outcome (only by_geo available for cross-sectional data)
out <- .vis_subcat_select("outcome", md_poll, ld_poll)
expect_setequal(out$choices, c("by_geo"))
### Test without linking geography
ld_no_geo <- list(link_geo = NULL)
# Test time-varying data
md_no_geo <- list(special_case = NULL, is_timevar = TRUE)
out <- .vis_subcat_select("geo", md_no_geo, ld_no_geo)
expect_setequal(out$choices, character(0))
out <- .vis_subcat_select("outcome", md_no_geo, ld_no_geo)
expect_setequal(out$choices, c("overall"))
# Test cross-sectional data
md_no_geo <- list(special_case = NULL, is_timevar = FALSE)
out <- .vis_subcat_select("outcome", md_no_geo, ld_no_geo)
expect_setequal(out$choices, character(0))
# Test invalid category
out <- .vis_subcat_select("invalid", md_covid, ld_covid)
expect_equal(out$label, character(0))
expect_null(out$choices)
})
test_that(".vis_ui works", {
ns <- function(id) id
# Individual characteristics
for (demo in .const()$vars$demo) {
golem::expect_shinytag(
.vis_ui(ns, "indiv", demo)
)
}
# Geographic characteristics
for (covar in c("sample", .const()$vars$covar)) {
golem::expect_shinytag(
.vis_ui(ns, "geo", covar)
)
}
# Outcome measure
golem::expect_shinytag(
.vis_ui(ns, "outcome", "overall")
)
golem::expect_shinytaglist(
.vis_ui(ns, "outcome", "by_geo")
)
# Invalid category
expect_error(
.vis_ui(ns, "invalid", "overall"),
"Assertion on 'category' failed"
)
# Invalid subcategory
expect_error(
.vis_ui(ns, "indiv", "invalid"),
"Assertion on 'subcategory' failed"
)
})
test_that(".preview_table works", {
df <- data.frame(
a = rnorm(10),
b = runif(10),
outcome = rbinom(10, 1, 0.5),
positive = rbinom(10, 10, 0.5)
)
tbl <- .preview_table(df)
expect_s3_class(tbl, "datatables")
expect_equal(
nrow(tbl$x$data),
min(nrow(df), .const()$ui$preview_size)
)
})
test_that(".link_select works", {
# Test if options for linking geography reflect data
data <- data.frame(
zip = character(0),
county = character(0),
state = character(0)
)
period_regex <- "^[0-9]{4}-[0-9]{4}$"
# COVID data
choices_covid <- .link_select(data, "covid")
expect_setequal(
choices_covid$link_geos,
c("zip")
)
expect_true(all(grepl(period_regex, choices_covid$acs_years)))
# Poll data
choices_poll <- .link_select(data, "poll")
expect_setequal(
choices_poll$link_geos,
c("state")
)
expect_true(all(grepl(period_regex, choices_poll$acs_years)))
# General data
choices_gnr <- .link_select(data)
expect_setequal(
choices_gnr$link_geos,
c("zip", "county", "state", "Do not include geography")
)
expect_true(all(grepl(period_regex, choices_gnr$acs_years)))
})
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