Nothing

```
context("Test LC_probit")
# test if probits are being calculated correctly ----
test_that("Determine if LC_probit calculations are correct", {
m <- LC_probit((response / total) ~ log10(dose), p = 50,
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "May"))
expect_equal(m$dose, expected = 1.250, tolerance = 0.001)
expect_equal(m$LCL, expected = 1.184, tolerance = 0.001)
expect_equal(m$UCL, expected = 1.306, tolerance = 0.001)
expect_equal(m$chi_square, expected = 14.113, tolerance = 0.001)
expect_equal(m$pgof_sig, expected = 0.590, tolerance = 0.001)
j <- LC_probit((response / total) ~ log10(dose),
p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "June"))
expect_equal(j$dose, expected = 2.659, tolerance = 0.001)
expect_equal(j$LCL, expected = 2.590, tolerance = 0.001)
expect_equal(j$UCL, expected = 2.737, tolerance = 0.001)
expect_equal(j$chi_square, expected = 22.537, tolerance = 0.001)
expect_equal(j$pgof_sig, expected = 0.126, tolerance = 0.001)
a <- LC_probit((response / total) ~ log10(dose), p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "August"))
expect_equal(a$dose, expected = 4.009, tolerance = 0.001)
expect_equal(a$LCL, expected = 3.651, tolerance = 0.001)
expect_equal(a$UCL, expected = 4.348, tolerance = 0.001)
expect_equal(a$chi_square, expected = 21.274, tolerance = 0.001)
expect_equal(a$pgof_sig, expected = 0.0192, tolerance = 0.0001)
s <- LC_probit((response / total) ~ log10(dose),
p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "September"))
expect_equal(s$dose, expected = 2.120, tolerance = 0.001)
expect_equal(s$LCL, expected = 1.981, tolerance = 0.001)
expect_equal(s$UCL, expected = 2.233, tolerance = 0.001)
expect_equal(s$chi_square, expected = 7.163, tolerance = 0.001)
expect_equal(s$pgof_sig, expected = 0.709, tolerance = 0.001)
mm <- LC_probit((response / total) ~ dose, p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
log_x = FALSE,
subset = c(month == "May"))
expect_equal(mm$dose, expected = 1.282, tolerance = 0.001)
expect_equal(mm$LCL, expected = 1.22, tolerance = 0.001)
expect_equal(mm$UCL, expected = 1.338, tolerance = 0.001)
expect_equal(mm$chi_square, expected = 16.060, tolerance = 0.001)
expect_equal(mm$pgof_sig, expected = 0.448, tolerance = 0.001)
})
# test long and short outputs -----
test_that("Determine if long and short outputs work properly", {
ma <- LC_probit((response / total) ~ log10(dose), p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "May"),
long_output = FALSE)
expect_equal(ncol(ma), 5)
expect_equal(nrow(ma), 1)
may <- LC_probit((response / total) ~ log10(dose), p = c(50),
weights = total,
data = lamprey_tox[lamprey_tox$nominal_dose != 0, ],
subset = c(month == "May"),
long_output = TRUE)
expect_equal(ncol(may), 19)
expect_equal(nrow(may), 1)
})
# test error when weights are not given -----
test_that("LC_probit throws error when weights are not given", {
expect_warning(LC_probit(cbind(response, survive) ~ log10(dose),
p = 50,
data = lamprey_tox,
subset = c(month == "May")))
})
# warning for not suppling p -----
test_that("LC_probit throws warning when p is not supplied", {
expect_warning(LC_probit((response / total) ~ log10(dose),
weights = total,
data = lamprey_tox,
subset = c(month == "May")))
})
```

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