model <- glm(
honcomp ~ female + read + science, data = hsb2,
family = binomial(link = "logit")
)
test_that("output from blr_gains_table is as expected", {
gtable <- blr_gains_table(model, hsb2)
sens <- round(mean(gtable$gains_table$sensitivity), 2)
spec <- round(mean(gtable$gains_table$specificity), 2)
accu <- round(mean(gtable$gains_table$accuracy), 2)
actual <- c(sens, spec, accu)
expected <- c(80.94, 54.35, 61.40)
expect_equal(actual, expected)
})
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