context("acs.fetch")
test_that("1990 census doesn't take 'NAME'", {
expect_error(.acsGET("http://api.census.gov/data/1990/sf3?key=&get=P0540003,P0540004,NAME&for=state:6"),
"error: error: unknown variable 'NAME'")
expect_is(acs.fetch(dataset="sf3",
keyword="SCHOOL/ELEM OR HS", endyear=1990,
case.sensitive=FALSE, geo=geo.make(state="CA")),
"acs")
})
with_mock_API({
test_that("Fetch from census with valid query", {
d <- acs.fetch(dataset="sf3", variable="P147H010", endyear=2000,
geo=geo.make(state="CA"))
expect_equal(estimate(d)[1,1], 93774)
expect_output(print(d), "California 93774 +/- 0", fixed=TRUE)
})
test_that("Fetch from ACS with valid query", {
d <- acs.fetch(dataset="acs", variable="B14003_043", endyear=2015,
geo=geo.make(state="CA"))
expect_equal(estimate(d)[1,1], 107747)
expect_output(print(d), "California 107747 +/- 2255", fixed=TRUE)
})
test_that("Fetch from ACS with lookup", {
d <- acs.fetch(keyword="private school", endyear=2014,
geo=geo.make(state="CA"))
expect_equal(estimate(d)[1,1], 713682)
expect_output(print(d), "B14003_012 B14003_013 B14003_014")
})
test_that("Fetch with lots of variables (recursion)", {
z <- acs.fetch(dataset="acs", table.name="SEX BY SCHOOL ENROLLMENT BY TYPE OF SCHOOL BY AGE FOR THE POPULATION 3 YEARS AND OVER", endyear=2015, case.sensitive=FALSE, geo=geo.make(state="CA"))
expect_identical(dim(z), c(1L, 57L))
})
})
test_that(".ngeocol", {
g1 <- geo.make(county="*", state="CA")
g2 <- geo.make(county="*") ## API still returns state as a column though
expect_identical(.ngeocol(g1[[1]]), 3L)
expect_identical(.ngeocol(g2[[1]]), 3L)
})
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