context("Test weights")
test_that("Check that no missing are introduced",{
out <- cmrbdt.finder.regex.charlson_Quan2005("I252",
country_code="US")
expect_false(any(is.na(weight.Charlsons.org(out))))
expect_false(any(is.na(weight.Charlsons.org(rbind(out, out)))))
expect_equivalent(length(weight.Charlsons.org(out)),
length(out),
"The software should always return a vector of the same length")
expect_equivalent(dim(weight.Charlsons.org(rbind(out, out))),
dim(rbind(out, out)),
"The software should always return a matrix of the same length")
})
test_that("Check calculations",{
out <- cmrbdt.finder.regex.charlson_Quan2005("I252",
country_code = "US")
expect_equivalent(sum(weight.Charlsons.org(out)), 1,
"Simple test for MI")
expect_equivalent(sum(weight.Charlsons.Quan2011(out)), 0,
"Simple test for MI")
# Clear all values
empty <- sapply(out, function(x) FALSE)
hiv_test <- empty
hiv_test["HIV"] <- 1
expect_equivalent(sum(weight.Charlsons.org(hiv_test)), 6)
mets_test <- empty
mets_test["METASTASIS"] <- TRUE
expect_equivalent(sum(weight.Charlsons.org(mets_test)), 6)
# Not really possible due to hierarchy
all <- sapply(out, function(x) TRUE)
expect_equivalent(sum(weight.Charlsons.org(all)), 1*(length(all)-4-1-2)+4*2+1*3+2*6)
all_possible <- hierarchy.charlson_Quan2005(all)
expect_equivalent(sum(weight.Charlsons.org(all_possible)),
1*(length(all)-4-1-2)+4*2+1*3+2*6 -
2*1-2) # Remove points from diabetes, mild.liver and malignancy
expect_equivalent(sum(weight.Charlsons.Quan2011(all_possible)),
24) # See Quan's article
})
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