Nothing

```
context("Test LT_logit")
# test if LT_logit is caculating things properly -----
test_that("Determine if LT_logit calculations are correct", {
m <- LT_logit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "May"))
expect_equal(m$time, expected = 9.967, tolerance = 0.001)
expect_equal(m$LCL, expected = 8.851, tolerance = 0.001)
expect_equal(m$UCL, expected = 11.901, tolerance = 0.001)
expect_equal(m$chi_square, expected = 16.616, tolerance = 0.001)
expect_equal(m$pgof_sig, expected = 0.055, tolerance = 0.001)
j <- LT_logit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "June"))
expect_equal(j$time, expected = 13.738, tolerance = 0.001)
expect_equal(j$LCL, expected = 11.523, tolerance = 0.001)
expect_equal(j$UCL, expected = 19.595, tolerance = 0.001)
expect_equal(j$chi_square, expected = 6.327, tolerance = 0.001)
expect_equal(j$pgof_sig, expected = 0.706, tolerance = 0.001)
a <- LT_logit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "August"))
expect_equal(a$time, expected = 8.169, tolerance = 0.001)
expect_equal(a$LCL, expected = 7.338, tolerance = 0.001)
expect_equal(a$UCL, expected = 9.280, tolerance = 0.001)
expect_equal(a$chi_square, expected = 7.616, tolerance = 0.001)
expect_equal(a$pgof_sig, expected = 0.573, tolerance = 0.001)
s <- LT_logit((response / total) ~ log10(hour),
p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "September"))
expect_equal(s$time, expected = 12.445, tolerance = 0.001)
expect_equal(s$LCL, expected = 10.959, tolerance = 0.001)
expect_equal(s$UCL, expected = 16.443, tolerance = 0.001)
expect_equal(s$chi_square, expected = 3.761, tolerance = 0.001)
expect_equal(s$pgof_sig, expected = 0.926, tolerance = 0.001)
mm <- LT_logit((response / total) ~ hour, p = c(50),
weights = total,
data = lamprey_time,
log_x = FALSE,
subset = c(month == "May"))
expect_equal(mm$time, expected = 10.082, tolerance = 0.001)
expect_equal(mm$LCL, expected = 8.843, tolerance = 0.001)
expect_equal(mm$UCL, expected = 12.298, tolerance = 0.001)
expect_equal(mm$chi_square, expected = 34.577, tolerance = 0.001)
expect_equal(mm$pgof_sig, expected = 0.0000707, tolerance = 0.000001)
})
# determine if long and short outputs are working properly ------
test_that("Determine if long and short outputs work ", {
ma <- LT_logit((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_logit((response / total) ~ log10(hour), p = c(50),
weights = total,
data = lamprey_time,
subset = c(month == "May"),
long_output = TRUE)
expect_equal(ncol(may), 17)
expect_equal(nrow(may), 1)
})
# test error when weights are not given -----
test_that("LT_logit throws error when weights are not given", {
expect_warning(LT_logit(cbind(response, survive) ~ log10(dose),
p = 50,
data = lamprey_tox,
subset = c(month == "May")))
})
# warning for not suppling p -----
test_that("LC_logit throws warning when p is not supplied", {
expect_warning(LT_logit((response / total) ~ log10(dose),
weights = total,
data = lamprey_tox,
subset = c(month == "May")))
})
```

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