context("test state_choropleth")
test_that("default parameters returns ggplot", {
data(df_pop_state)
expect_is(state_choropleth(df_pop_state), "ggplot")
})
test_that("setting title returns ggplot", {
data(df_pop_state)
expect_is(state_choropleth(df_pop_state, title="test title"), "ggplot")
})
test_that("setting legend returns ggplot", {
data(df_pop_state)
expect_is(state_choropleth(df_pop_state, legend="test legend"), "ggplot")
})
test_that("continuous scale returns ggplot", {
data(df_pop_state)
expect_is(state_choropleth(df_pop_state, num_colors=1), "ggplot")
})
test_that("west coast zoom returns ggplot", {
data(df_pop_state)
expect_is(state_choropleth(df_pop_state, zoom=c("california", "oregon", "washington"), num_colors=1), "ggplot")
})
test_that("error on invalid zoom", {
data(df_pop_state)
expect_error(state_choropleth(df_pop_state, zoom="asdf"))
})
test_that("less than full states emits warning", {
data(df_pop_state)
df = df_pop_state[df_pop_state$region != "new york", ]
expect_warning(state_choropleth(df))
})
test_that("less than full states works", {
data(df_pop_state)
df = df_pop_state[df_pop_state$region != "new york", ]
expect_is(
suppressWarnings(state_choropleth(df)),
"ggplot")
})
test_that("any duplicate regions trigger an error", {
data(df_pop_state)
df = rbind(df_pop_state, data.frame(region = "new york", value=1))
expect_error(state_choropleth(df))
})
test_that("state reference map returns ggplot", {
data(df_pop_state)
data(continental_us_states)
expect_is(state_choropleth(df_pop_state,
zoom=continental_us_states,
reference_map=TRUE), "ggplot")
})
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