1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
|
# Copyright (C) 2016-2019 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package mkin
# mkin is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>
models <- c("SFO", "FOMC", "DFOP", "HS")
fits <- mmkin(models,
list(FOCUS_C = FOCUS_2006_C, FOCUS_D = FOCUS_2006_D),
quiet = TRUE, cores = if (Sys.getenv("TRAVIS") == "") 15 else 1)
context("Calculation of maximum time weighted average concentrations (TWAs)")
test_that("Time weighted average concentrations are correct", {
skip_on_cran()
outtimes_10 <- seq(0, 10, length.out = 10000)
for (ds in c("FOCUS_C", "FOCUS_D")) {
for (model in models) {
fit <- fits[[model, ds]]
bpar <- summary(fit)$bpar[, "Estimate"]
pred_10 <- mkinpredict(fit$mkinmod,
odeparms = bpar[2:length(bpar)],
odeini = c(parent = bpar[[1]]),
outtimes = outtimes_10)
twa_num <- mean(pred_10$parent)
names(twa_num) <- 10
twa_ana <- max_twa_parent(fit, 10)
# Test for absolute difference (scale = 1)
# The tolerance can be reduced if the length of outtimes is increased,
# but this needs more computing time so we stay with lenght.out = 10k
expect_equal(twa_num, twa_ana, tolerance = 0.003, scale = 1)
}
}
})
context("Plotting")
test_that("Plotting mmkin objects is reproducible", {
skip_on_cran()
mmkin_FOCUS_C <- function() plot(fits[, "FOCUS_C"])
mmkin_SFO <- function() plot(fits["SFO",])
vdiffr::expect_doppelganger("mmkin plot for FOCUS C", mmkin_FOCUS_C)
vdiffr::expect_doppelganger("mmkin plot for SFO (FOCUS C and D)", mmkin_SFO)
})
|
