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
62
63
64
|
# Copyright (C) 2015, 2018 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/>
context("Results for synthetic data established in expertise for UBA (Ranke 2014)")
test_that("Results are correct for SFO_lin_a", {
skip_on_cran()
m_synth_SFO_lin <- mkinmod(parent = mkinsub("SFO", "M1"),
M1 = mkinsub("SFO", "M2"),
M2 = mkinsub("SFO"),
use_of_ff = "max", quiet = TRUE)
fit_SFO_lin_a <- mkinfit(m_synth_SFO_lin,
synthetic_data_for_UBA_2014[[1]]$data,
quiet = TRUE)
# Results for SFO_lin_a from p. 48
parms <- round(fit_SFO_lin_a$bparms.optim, c(1, 4, 4, 4, 4, 4))
expect_equivalent(parms, c(102.1, 0.7393, 0.2992, 0.0202, 0.7687, 0.7229))
errmin <- round(100 * mkinerrmin(fit_SFO_lin_a)$err.min, 2)
expect_equivalent(errmin, c(8.45, 8.66, 10.58, 3.59))
})
# Results for DFOP_par_c from p. 54
test_that("Results are correct for DFOP_par_c", {
skip_on_cran()
m_synth_DFOP_par <- mkinmod(parent = mkinsub("DFOP", c("M1", "M2")),
M1 = mkinsub("SFO"),
M2 = mkinsub("SFO"),
use_of_ff = "max", quiet = TRUE)
fit_DFOP_par_c <- mkinfit(m_synth_DFOP_par,
synthetic_data_for_UBA_2014[[12]]$data,
quiet = TRUE)
parms <- round(fit_DFOP_par_c$bparms.optim, c(1, 4, 4, 4, 4, 4, 4, 4))
expect_equal(parms, c(parent_0 = 103.0,
k_M1 = 0.0389, k_M2 = 0.0095,
f_parent_to_M1 = 0.5565, f_parent_to_M2 = 0.3784,
k1 = 0.3263, k2 = 0.0202, g = 0.7130))
errmin <- round(100 * mkinerrmin(fit_DFOP_par_c)$err.min, 2)
expect_equivalent(errmin, c(4.03, 3.05, 5.07, 3.17))
})
# References:
# Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative
# zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452
|