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context("auc Tests")
test_that("auc binary error", {
Levs = 8
Size = 100
y = sample(1:Levs, Size, replace = TRUE)
xm = matrix(runif(Levs*Size), ncol = Levs)
xm = xm/rowSums(xm)
expect_error(auc(y, xm)
, "auc only works for binary outcomes at this time")
})
test_that("mauc", {
Levs = 8
Size = 100
y = sample(1:Levs, Size, replace = TRUE)
xm = matrix(runif(Levs*Size), ncol = Levs)
xm = xm/rowSums(xm)
# no warnings
expect_silent(res1 <- mauc(y, xm))
# estimated
expect_true(!is.nan(res1$mauc))
expect_silent(res2 <- mauc(y, as.data.frame(xm)))
expect_true(res1$mauc == res2$mauc)
expect_true(all(res1$auc == res2$auc))
expect_silent(res3 <- mauc(as.character(y), as.data.frame(xm)))
expect_true(res1$mauc == res3$mauc)
expect_true(all(res1$auc == res3$auc))
expect_silent(res4 <- mauc(as.factor(y), as.data.frame(xm)))
expect_true(res1$mauc == res4$mauc)
expect_true(all(res1$auc == res4$auc))
})
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