Nothing
context("SPEW")
test_that("SPEW algorithm runs as expected", {
data("delaware")
data("uruguay")
# sp for shapefiles, rgeos specifically for roads
library(sp)
library(rgeos)
# Make sure the 0 household places are caught
test_ind <- 100
delaware$pop_table[test_ind, "n_house"] <- 0
expect_output(spew_place(index = test_ind,
pop_table = delaware$pop_table, shapefile = delaware$shapefiles,
pums_h = delaware$pums$pums_h, pums_p = delaware$pums$pums_p,
schools = delaware$schools, workplaces = delaware$workplaces,
marginals = delaware$marginals, output_type = "console",
sampling_method = "uniform", locations_method = "uniform",
convert_count = FALSE), "Place has 0 Households!")
# Verify SPEW algorithm ---
places <- 1:4
delaware_small <- spew(pop_table = delaware$pop_table[places, ],
shapefile = delaware$shapefiles,
pums_h = delaware$pums$pums_h,
pums_p = delaware$pums$pums_p,
verbose = FALSE)
expect_true(length(delaware_small) == length(places))
expect_true(delaware$pop_table[1, "place_id"] == delaware_small[[1]]$place_id)
# Run the SPEW algorithm for Uruguay
uruguay_region <- spew_place(index = 1,
pop_table = uruguay$pop_table,
shapefile = uruguay$shapefiles,
pums_h = uruguay$pums$pums_h,
pums_p = uruguay$pums$pums_p,
convert_count = TRUE)
expect_true(uruguay_region$place_id == uruguay$pop_table[1, "place_id"])
expect_true(uruguay_region$puma_id == uruguay$pop_table[1, "puma_id"])
expect_true("SYNTHETIC_HID" %in% names(uruguay_region$households))
expect_true("SYNTHETIC_PID" %in% names(uruguay_region$people))
expect_true(max(table(uruguay_region$people$SYNTHETIC_PID))
< max(table(uruguay_region$people$SERIALNO)))
# Make sure the convert_count works
original_nhouse <- uruguay$pop_table[1, "n_house"]
expect_false(nrow(uruguay_region$households) == original_nhouse)
expect_true(abs((nrow(uruguay_region$people) / original_nhouse) - 1) < .2)
})
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