if (suppressWarnings(
requiet("lme4")
)) {
data(cbpp)
cbpp$trials <<- cbpp$size - cbpp$incidence
m1 <- glmer(
cbind(incidence, trials) ~ period + (1 | herd),
data = cbpp,
family = binomial
)
m2 <- glmer(
cbind(incidence, size - incidence) ~ period + (1 | herd),
data = cbpp,
family = binomial
)
m3 <- glm(
cbind(incidence, trials) ~ period,
data = cbpp,
family = binomial
)
m4 <- glm(
cbind(incidence, size - incidence) ~ period,
data = cbpp,
family = binomial
)
m5 <- glmer(
cbind(incidence, size - incidence) ~ (1 | herd),
data = cbpp,
family = binomial
)
test_that("find_response", {
expect_equal(
find_response(m1, combine = TRUE),
"cbind(incidence, trials)"
)
expect_equal(
find_response(m2, combine = TRUE),
"cbind(incidence, size - incidence)"
)
expect_equal(
find_response(m3, combine = TRUE),
"cbind(incidence, trials)"
)
expect_equal(
find_response(m4, combine = TRUE),
"cbind(incidence, size - incidence)"
)
expect_equal(
find_response(m5, combine = TRUE),
"cbind(incidence, size - incidence)"
)
expect_equal(
find_response(m1, combine = FALSE),
c("incidence", "trials")
)
expect_equal(find_response(m2, combine = FALSE), c("incidence", "size"))
expect_equal(
find_response(m3, combine = FALSE),
c("incidence", "trials")
)
expect_equal(find_response(m4, combine = FALSE), c("incidence", "size"))
expect_equal(find_response(m5, combine = FALSE), c("incidence", "size"))
})
test_that("get_response", {
expect_equal(colnames(get_response(m1)), c("incidence", "trials"))
expect_equal(colnames(get_response(m2)), c("incidence", "size"))
expect_equal(colnames(get_response(m3)), c("incidence", "trials"))
expect_equal(colnames(get_response(m4)), c("incidence", "size"))
expect_equal(colnames(get_response(m5)), c("incidence", "size"))
})
test_that("get_data", {
expect_equal(
colnames(get_data(m1)),
c("incidence", "trials", "period", "herd")
)
expect_equal(
colnames(get_data(m2)),
c("incidence", "size", "period", "herd")
)
get_data(m3)
get_data(m4)
expect_equal(
colnames(get_data(m5)),
c("incidence", "size", "herd")
)
})
set.seed(123)
data(mtcars)
m6 <-
stats::aov(
formula = mpg ~ wt + qsec + Error(disp / am),
data = mtcars
)
# TO DO
# test_that("mod-info", {
# get_data(m6)
# find_response(m6)
# get_response(m6)
# find_formula(m6)
# })
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
expect_identical(find_statistic(m2), "z-statistic")
expect_identical(find_statistic(m3), "z-statistic")
expect_identical(find_statistic(m4), "z-statistic")
expect_identical(find_statistic(m5), "z-statistic")
expect_identical(find_statistic(m6), "F-statistic")
})
}
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