context("classtable")
## glm
data(mtcars)
m <- glm(vs ~ mpg, data = mtcars, family = binomial)
test_that("returned object is appropriate", {
expect_is(postr_classificationtable(m, runif(1)), "table")
})
test_that("dimensions are always 2x2", {
expect_equal(dim(postr_classificationtable(m, runif(1))), c(2,2))
expect_equal(dim(postr_classificationtable(m, 1)), c(2,2))
expect_equal(dim(postr_classificationtable(m, 0)), c(2,2))
})
## glmer
library(lme4)
m <- glmer(vs ~ mpg + (1 | gear), data = mtcars, family = binomial)
test_that("returned object is appropriate", {
expect_is(postr_classificationtable(m, runif(1)), "table")
})
test_that("dimensions are always 2x2", {
expect_equal(dim(postr_classificationtable(m, runif(1))), c(2,2))
expect_equal(dim(postr_classificationtable(m, 1)), c(2,2))
expect_equal(dim(postr_classificationtable(m, 0)), c(2,2))
})
test_that("pr aliases", {
r <- runif(1); expect_identical(postr_classificationtable(m, r),
postr_classtable(m, r))
r <- runif(1); expect_identical(postr_classificationtable(m, r),
pr_classificationtable(m, r))
r <- runif(1); expect_identical(postr_classificationtable(m, r),
pr_classtable(m, r))
})
test_that("Improper object", {
expect_error(postr_classificationtable(1, .5), "table not supported")
m <- update(m, family = poisson)
expect_error(postr_classificationtable(m, .5), "family must be")
})
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