test_that("est_ci works as expected", {
expect_equal(est_ci(c(1, 2), c(0.5, 1), c(1.4, 3.1), accuracy = 0.1),
c('1.0 (0.5 to 1.4)', '2.0 (1.0 to 3.1)'))
expect_equal(
est_ci(c(0.01, 0.02), c(0.005, 0.01), c(0.014, 0.031),
accuracy = 0.1, scale = 100, suffix = "%"),
c('1.0% (0.5% to 1.4%)', '2.0% (1.0% to 3.1%)')
)
expect_equal(
est_ci(c(0.01, 0.02), c(0.005, 0.01), c(0.014, 0.031),
accuracy = 0.1, scale = 100, suffix = "%", format_paren = FALSE),
c('1.0% (0.5 to 1.4)', '2.0% (1.0 to 3.1)')
)
expect_equal(est_ci(c(100, 200), c(50, 100), c(140, 310), prefix = "$"),
c('$100 ($50 to $140)', '$200 ($100 to $310)'))
expect_equal(est_ci(c(1, 2), c(0.5, 1), c(1.4, 3.1), c(0.023, 0.0023), accuracy = 0.1),
c('1.0 (0.5 to 1.4) **', '2.0 (1.0 to 3.1) ***'))
expect_equal(
est_ci(c(1, 2), c(0.5, 1), c(1.4, 3.1), c(0.0023, 0.00023),
accuracy = 0.1, stars = FALSE, min_p = 0.001),
c('1.0 (0.5 to 1.4) (p=0.0023)', '2.0 (1.0 to 3.1) (p<0.001)')
)
})
test_that("n_percent works as expected", {
expect_equal(n_percent(c(1, 2), c(0.33333, 0.66667), accuracy = 0.1),
c('1 (33.3%)', '2 (66.7%)'))
expect_equal(n_percent(c(1, 2), c(0.33333, 0.66667), accuracy = 0.1, format_paren = FALSE),
c('1 (33.3)', '2 (66.7)'))
expect_equal(n_percent(c(123456, 234567), scale = 1/1000, suffix = "k", accuracy = 0.1),
c('123k (34.5%)', '235k (65.5%)'))
})
test_that("mean_sd works as expected", {
expect_equal(mean_sd(c(1, 2), c(0.33333, 0.66667), accuracy = 0.1),
c('1.0 (0.3)', '2.0 (0.7)'))
expect_equal(mean_sd(c(100, 200), c(62.3, 111.8), prefix = "$"),
c('$100 ($62)', '$200 ($112)'))
expect_equal(mean_sd(c(100, 200), c(62.3, 111.8), prefix = "$", format_paren = FALSE),
c('$100 (62)', '$200 (112)'))
expect_equal(mean_sd(c(100, 200), c(62.3, 111.8), suffix = "\u20ac"),
c('100\u20ac (62\u20ac)', '200\u20ac (112\u20ac)'))
expect_equal(mean_sd(c(100, 200), c(62.3, 111.8), suffix = "\u20ac", format_paren = FALSE),
c('100\u20ac (62)', '200\u20ac (112)'))
})
test_that("coef_se works as expected", {
expect_equal(coef_se(c(1, 2), c(0.5, 1), accuracy = 0.1),
c('1.0 (0.5)', '2.0 (1.0)'))
expect_equal(coef_se(c(1, 2), c(0.5, 1), c(0.023, 0.0023), accuracy = 0.1),
c('1.0 (0.5) **', '2.0 (1.0) ***'))
expect_equal(
coef_se(c(1, 2), c(0.5, 1), c(0.0023, 0.00023),
accuracy = 0.1, stars = FALSE, min_p = 0.001),
c('1.0 (0.5) (p=0.0023)', '2.0 (1.0) (p<0.001)')
)
expect_equal(
coef_se(c(1, 2), p = c(0.0023, 0.00023),
accuracy = 0.1, stars = FALSE, min_p = 0.001),
c('1.0 (p=0.0023)', '2.0 (p<0.001)')
)
expect_equal(
coef_se(c(1, 2), p = c(0.0023, 0.00023),
accuracy = 0.1, stars = FALSE, min_p = 0.001, add_p = FALSE),
c('1.0 (0.0023)', '2.0 (<0.001)')
)
})
test_that("frmt functions give appropriate error messages", {
expect_error(mean_sd(1, 2, format_paren = 1), class = "formattr_error_wrong_type")
expect_error(n_percent(1, 2, format_paren = 1), class = "formattr_error_wrong_type")
expect_error(est_ci(1, 2, 3, .sep = 1), class = "formattr_error_wrong_type")
expect_error(est_ci(1, 2, 3, stars = 1), class = "formattr_error_wrong_type")
expect_error(est_ci(1, 2, 3, format_paren = 1), class = "formattr_error_wrong_type")
expect_error(coef_se(1, 2, stars = 1), class = "formattr_error_wrong_type")
})
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