Nothing

```
context("Test LT_probit")
# test if LT_probit runs properly -----
test_that("Determine if LT_probit runs properly", {
m <- LT_probit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "May"))
expect_equal(m$time, expected = 9.991, tolerance = 0.001)
expect_equal(m$LCL, expected = 8.934, tolerance = 0.001)
expect_equal(m$UCL, expected = 11.742, tolerance = 0.001)
expect_equal(m$chi_square, expected = 13.499, tolerance = 0.001)
expect_equal(m$pgof_sig, expected = 0.1412, tolerance = 0.0001)
j <- LT_probit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "June"))
expect_equal(j$time, expected = 14.128, tolerance = 0.001)
expect_equal(j$LCL, expected = 11.664, tolerance = 0.001)
expect_equal(j$UCL, expected = 20.758, tolerance = 0.001)
expect_equal(j$chi_square, expected = 5.191, tolerance = 0.001)
expect_equal(j$pgof_sig, expected = 0.8173, tolerance = 0.0001)
a <- LT_probit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "August"))
expect_equal(a$time, expected = 8.184, tolerance = 0.001)
expect_equal(a$LCL, expected = 7.357, tolerance = 0.001)
expect_equal(a$UCL, expected = 9.311, tolerance = 0.001)
expect_equal(a$chi_square, expected = 6.651, tolerance = 0.001)
expect_equal(a$pgof_sig, expected = 0.6733, tolerance = 0.0001)
s <- LT_probit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "September"))
expect_equal(s$time, expected = 12.611, tolerance = 0.001)
expect_equal(s$LCL, expected = 10.981, tolerance = 0.001)
expect_equal(s$UCL, expected = 17.210, tolerance = 0.001)
expect_equal(s$chi_square, expected = 3.030, tolerance = 0.001)
expect_equal(s$pgof_sig, expected = 0.9630, tolerance = 0.0001)
mm <- LT_probit((response / total) ~ hour, p = c(50),
weights = total,
data = lamprey_time,
log_x = FALSE,
subset = c(month == "May"))
expect_equal(mm$time, expected = 10.071, tolerance = 0.001)
expect_equal(mm$LCL, expected = 8.898, tolerance = 0.001)
expect_equal(mm$UCL, expected = 12.048, tolerance = 0.001)
expect_equal(mm$chi_square, expected = 30.313, tolerance = 0.001)
expect_equal(mm$pgof_sig, expected = 0.000388, tolerance = 0.000001)
})
# test long and short outputs ----
test_that("Determine if LT_probit runs properly", {
ma <- LT_probit((response / total) ~ log(hour), p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "May"),
long_output = FALSE)
expect_equal(ncol(ma), 5)
expect_equal(nrow(ma), 1)
may <- LT_probit((response / total) ~ log10(hour), p = c(50),
weights = total,
data = lamprey_time,
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("LT_probit throws error when weights are not given", {
expect_warning(LT_probit((response / total) ~ log10(dose),
p = 50,
data = lamprey_tox,
subset = c(month == "May")))
})
# warning for not suppling p -----
test_that("LT_probit throws warning when p is not supplied", {
expect_warning(LT_probit((response / total) ~ log10(dose),
weights = total,
data = lamprey_tox,
subset = c(month == "May")))
})
```

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