From b847fec686bc1db59079412eb18063d3514ecf75 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 21 Dec 2016 10:35:16 +0100 Subject: TWA calculation for SFO, FOMC and DFOP (parent) --- tests/testthat/test_twa.R | 45 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 tests/testthat/test_twa.R (limited to 'tests') diff --git a/tests/testthat/test_twa.R b/tests/testthat/test_twa.R new file mode 100644 index 00000000..3a28e0c1 --- /dev/null +++ b/tests/testthat/test_twa.R @@ -0,0 +1,45 @@ +# Copyright (C) 2016 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 + +context("Calculation of maximum time weighted average concentrations (TWAs)") + +twa_models <- c("SFO", "FOMC", "DFOP") +fits <- mmkin(twa_models, list(FOCUS_D = FOCUS_2006_D), + quiet = TRUE) + +SFO_SFO <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO"), quiet = TRUE) +fit.m1 <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) + +test_that("Time weighted average concentrations are correct", { + outtimes_7 <- seq(0, 7, length.out = 10000) + for (model in twa_models) { + fit <- fits[[model, 1]] + bpar <- summary(fit)$bpar[, "Estimate"] + pred_7 <- mkinpredict(fit$mkinmod, + odeparms = bpar[2:length(bpar)], + odeini = c(parent = bpar[[1]]), + outtimes = outtimes_7) + twa_num <- mean(pred_7$parent) + names(twa_num) <- 7 + twa_ana <- twa(fit, 7) + + # Test for absolute difference (scale = 1) + expect_equal(twa_num, twa_ana, tolerance = 0.001, scale = 1) + } +}) -- cgit v1.2.1