From 656466946f093617ababebe5ec3b36809234112a Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 15 May 2015 08:49:40 +0200 Subject: Finished migration from RUnit to testthat --- tests/testthat/runit.mkinerrmin.R | 62 ------- tests/testthat/runit.mkinfit.R | 227 -------------------------- tests/testthat/test_FOCUS_D_UBA_expertise.R | 58 +++++++ tests/testthat/test_FOCUS_chi2_error_level.R | 53 ++++++ tests/testthat/test_parent_only.R | 210 +++++++++++++++++++++--- tests/testthat/test_schaefer07_complex_case.R | 68 ++++++++ 6 files changed, 363 insertions(+), 315 deletions(-) delete mode 100644 tests/testthat/runit.mkinerrmin.R delete mode 100644 tests/testthat/runit.mkinfit.R create mode 100644 tests/testthat/test_FOCUS_D_UBA_expertise.R create mode 100644 tests/testthat/test_FOCUS_chi2_error_level.R create mode 100644 tests/testthat/test_schaefer07_complex_case.R (limited to 'tests/testthat') diff --git a/tests/testthat/runit.mkinerrmin.R b/tests/testthat/runit.mkinerrmin.R deleted file mode 100644 index 56a33ff9..00000000 --- a/tests/testthat/runit.mkinerrmin.R +++ /dev/null @@ -1,62 +0,0 @@ -# Test SFO_SFO model with FOCUS_2006_D against Schaefer 2007 paper, tolerance = 1% # {{{ -# and check chi2 error values against values obtained with mkin 0.33 -test.FOCUS_2006_D_SFO_SFO <- function() -{ - SFO_SFO.1 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "min") - SFO_SFO.2 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "max") - - fit.1.e <- mkinfit(SFO_SFO.1, FOCUS_2006_D) - fit.1.d <- mkinfit(SFO_SFO.1, solution_type = "deSolve", FOCUS_2006_D) - fit.2.e <- mkinfit(SFO_SFO.2, FOCUS_2006_D) - fit.2.d <- mkinfit(SFO_SFO.2, solution_type = "deSolve", FOCUS_2006_D) - - FOCUS_2006_D_results_schaefer07_means <- c( - parent_0 = 99.65, DT50_parent = 7.04, DT50_m1 = 131.34) - - r.1.e <- c(fit.1.e$bparms.optim[[1]], endpoints(fit.1.e)$distimes[[1]]) - r.1.d <- c(fit.1.d$bparms.optim[[1]], endpoints(fit.1.d)$distimes[[1]]) - r.2.e <- c(fit.2.e$bparms.optim[[1]], endpoints(fit.2.e)$distimes[[1]]) - r.2.d <- c(fit.2.d$bparms.optim[[1]], endpoints(fit.2.d)$distimes[[1]]) - - dev.1.e <- 100 * (r.1.e - FOCUS_2006_D_results_schaefer07_means)/r.1.e - checkIdentical(as.numeric(abs(dev.1.e)) < 1, rep(TRUE, 3)) - dev.1.d <- 100 * (r.1.d - FOCUS_2006_D_results_schaefer07_means)/r.1.d - checkIdentical(as.numeric(abs(dev.1.d)) < 1, rep(TRUE, 3)) - dev.2.e <- 100 * (r.2.e - FOCUS_2006_D_results_schaefer07_means)/r.2.e - checkIdentical(as.numeric(abs(dev.2.e)) < 1, rep(TRUE, 3)) - dev.2.d <- 100 * (r.2.d - FOCUS_2006_D_results_schaefer07_means)/r.2.d - checkIdentical(as.numeric(abs(dev.2.d)) < 1, rep(TRUE, 3)) - - round(mkinerrmin(fit.2.e), 4) - round(mkinerrmin(fit.2.d), 4) - - errmin.FOCUS_2006_D_rounded = data.frame( - err.min = c(0.0640, 0.0646, 0.0469), - n.optim = c(4, 2, 2), - df = c(15, 7, 8), - row.names = c("All data", "parent", "m1")) - checkEqualsNumeric(round(mkinerrmin(fit.2.e), 4), - errmin.FOCUS_2006_D_rounded) -} # }}} - -# Test SFO_SFO model with FOCUS_2006_E against values obtained with mkin 0.33 {{{ -test.FOCUS_2006_E_SFO_SFO <- function() -{ - SFO_SFO.2 <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), use_of_ff = "max") - - fit.2.e <- mkinfit(SFO_SFO.2, FOCUS_2006_E) - - round(mkinerrmin(fit.2.e), 4) - errmin.FOCUS_2006_E_rounded = data.frame( - err.min = c(0.1544, 0.1659, 0.1095), - n.optim = c(4, 2, 2), - df = c(13, 7, 6), - row.names = c("All data", "parent", "m1")) - checkEqualsNumeric(round(mkinerrmin(fit.2.e), 4), - errmin.FOCUS_2006_E_rounded) -} # }}} - - diff --git a/tests/testthat/runit.mkinfit.R b/tests/testthat/runit.mkinfit.R deleted file mode 100644 index 8eefb995..00000000 --- a/tests/testthat/runit.mkinfit.R +++ /dev/null @@ -1,227 +0,0 @@ -# Copyright (C) 2010-2014 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 - -# Test SFO model to a relative tolerance of 1% # {{{ -test.FOCUS_2006_SFO <- function() -{ - SFO.1 <- mkinmod(parent = list(type = "SFO")) - SFO.2 <- mkinmod(parent = list(type = "SFO"), use_of_ff = "max") - - fit.A.SFO.1 <- mkinfit(SFO.1, FOCUS_2006_A, quiet=TRUE) - fit.A.SFO.2 <- mkinfit(SFO.2, FOCUS_2006_A, quiet=TRUE) - - median.A.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, dataset == "A", - c(M0, k, DT50, DT90)), "median")) - - fit.A.SFO.1.r <- as.numeric(c(fit.A.SFO.1$bparms.optim, endpoints(fit.A.SFO.1)$distimes)) - dev.A.SFO.1 <- abs(round(100 * ((median.A.SFO - fit.A.SFO.1.r)/median.A.SFO), digits=1)) - checkIdentical(dev.A.SFO.1 < 1, rep(TRUE, length(dev.A.SFO.1))) - - fit.A.SFO.2.r <- as.numeric(c(fit.A.SFO.2$bparms.optim, endpoints(fit.A.SFO.2)$distimes)) - dev.A.SFO.2 <- abs(round(100 * ((median.A.SFO - fit.A.SFO.2.r)/median.A.SFO), digits=1)) - checkIdentical(dev.A.SFO.2 < 1, rep(TRUE, length(dev.A.SFO.2))) - - fit.C.SFO.1 <- mkinfit(SFO.1, FOCUS_2006_C, quiet=TRUE) - fit.C.SFO.2 <- mkinfit(SFO.2, FOCUS_2006_C, quiet=TRUE) - - median.C.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, dataset == "C", - c(M0, k, DT50, DT90)), "median")) - - fit.C.SFO.1.r <- as.numeric(c(fit.C.SFO.1$bparms.optim, endpoints(fit.C.SFO.1)$distimes)) - dev.C.SFO.1 <- abs(round(100 * ((median.C.SFO - fit.C.SFO.1.r)/median.C.SFO), digits=1)) - checkIdentical(dev.C.SFO.1 < 1, rep(TRUE, length(dev.C.SFO.1))) - - fit.C.SFO.2.r <- as.numeric(c(fit.C.SFO.2$bparms.optim, endpoints(fit.C.SFO.2)$distimes)) - dev.C.SFO.2 <- abs(round(100 * ((median.C.SFO - fit.C.SFO.2.r)/median.C.SFO), digits=1)) - checkIdentical(dev.C.SFO.2 < 1, rep(TRUE, length(dev.C.SFO.2))) -} # }}} - -# Test FOMC model to a relative tolerance of 1% {{{ -# See kinfit vignette for a discussion of FOMC fits to FOCUS_2006_A -# In this case, only M0, DT50 and DT90 are checked -test.FOCUS_2006_FOMC <- function() -{ - FOMC <- mkinmod(parent = list(type = "FOMC")) - - # FOCUS_2006_A (compare kinfit vignette for discussion) - fit.A.FOMC <- mkinfit(FOMC, FOCUS_2006_A, quiet=TRUE) - - median.A.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, dataset == "A", - c(M0, alpha, beta, DT50, DT90)), "median")) - - fit.A.FOMC.r <- as.numeric(c(fit.A.FOMC$bparms.optim, endpoints(fit.A.FOMC)$distimes[c("DT50", "DT90")])) - dev.A.FOMC <- abs(round(100 * ((median.A.FOMC - fit.A.FOMC.r)/median.A.FOMC), digits=1)) - dev.A.FOMC <- dev.A.FOMC[c(1, 4, 5)] - checkIdentical(dev.A.FOMC < 1, rep(TRUE, length(dev.A.FOMC))) - - # FOCUS_2006_B - fit.B.FOMC <- mkinfit(FOMC, FOCUS_2006_B, quiet=TRUE) - - median.B.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, dataset == "B", - c(M0, alpha, beta, DT50, DT90)), "median")) - - fit.B.FOMC.r <- as.numeric(c(fit.B.FOMC$bparms.optim, endpoints(fit.B.FOMC)$distimes[c("DT50", "DT90")])) - dev.B.FOMC <- abs(round(100 * ((median.B.FOMC - fit.B.FOMC.r)/median.B.FOMC), digits=1)) - dev.B.FOMC <- dev.B.FOMC[c(1, 4, 5)] - checkIdentical(dev.B.FOMC < 1, rep(TRUE, length(dev.B.FOMC))) - - # FOCUS_2006_C - fit.C.FOMC <- mkinfit(FOMC, FOCUS_2006_C, quiet=TRUE) - - median.C.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, dataset == "C", - c(M0, alpha, beta, DT50, DT90)), "median")) - - fit.C.FOMC.r <- as.numeric(c(fit.C.FOMC$bparms.optim, endpoints(fit.C.FOMC)$distimes[c("DT50", "DT90")])) - dev.C.FOMC <- abs(round(100 * ((median.C.FOMC - fit.C.FOMC.r)/median.C.FOMC), digits=1)) - dev.C.FOMC <- dev.C.FOMC[c(1, 4, 5)] - checkIdentical(dev.C.FOMC < 1, rep(TRUE, length(dev.C.FOMC))) -} # }}} - -# Test DFOP model, tolerance of 1% with the exception of f parameter for A {{{ -test.FOCUS_2006_DFOP <- function() -{ - DFOP <- mkinmod(parent = list(type = "DFOP")) - - # FOCUS_2006_A - # Results were too much dependent on algorithm, as this dataset - # is pretty much SFO. "Port" gave a lower deviance, but deviated from the - # median of FOCUS_2006 solutions - - # FOCUS_2006_B - fit.B.DFOP <- mkinfit(DFOP, FOCUS_2006_B, quiet=TRUE) - - median.B.DFOP <- as.numeric(lapply(subset(FOCUS_2006_DFOP_ref_A_to_B, dataset == "B", - c(M0, k1, k2, f, DT50, DT90)), "median")) - - fit.B.DFOP.r <- as.numeric(c(fit.B.DFOP$bparms.optim, endpoints(fit.B.DFOP)$distimes[c("DT50", "DT90")])) - dev.B.DFOP <- abs(round(100 * ((median.B.DFOP - fit.B.DFOP.r)/median.B.DFOP), digits=1)) - # about 0.6% deviation for parameter f, the others are <= 0.1% - checkIdentical(dev.B.DFOP < 1, rep(TRUE, length(dev.B.DFOP))) -} # }}} - -# Test HS model to a relative tolerance of 1% excluding Mathematica values {{{ -# as they are unreliable -test.FOCUS_2006_HS <- function() -{ - HS <- mkinmod(parent = list(type = "HS")) - - # FOCUS_2006_A - fit.A.HS <- mkinfit(HS, FOCUS_2006_A, quiet=TRUE) - - median.A.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, dataset == "A", - c(M0, k1, k2, tb, DT50, DT90)), "median")) - - fit.A.HS.r <- as.numeric(c(fit.A.HS$bparms.optim, endpoints(fit.A.HS)$distimes[c("DT50", "DT90")])) - dev.A.HS <- abs(round(100 * ((median.A.HS - fit.A.HS.r)/median.A.HS), digits=1)) - # about 6.7% deviation for parameter f, the others are < 0.1% - checkIdentical(dev.A.HS < 1, rep(TRUE, length(dev.A.HS))) - - # FOCUS_2006_B - fit.B.HS <- mkinfit(HS, FOCUS_2006_B, quiet=TRUE) - - median.B.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, dataset == "B", - c(M0, k1, k2, tb, DT50, DT90)), "median")) - - fit.B.HS.r <- as.numeric(c(fit.B.HS$bparms.optim, endpoints(fit.B.HS)$distimes[c("DT50", "DT90")])) - dev.B.HS <- abs(round(100 * ((median.B.HS - fit.B.HS.r)/median.B.HS), digits=1)) - # < 10% deviation for M0, k1, DT50 and DT90, others are problematic - dev.B.HS <- dev.B.HS[c(1, 2, 5, 6)] - checkIdentical(dev.B.HS < 10, rep(TRUE, length(dev.B.HS))) - - # FOCUS_2006_C - fit.C.HS <- mkinfit(HS, FOCUS_2006_C, quiet=TRUE) - - median.C.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, dataset == "C", - c(M0, k1, k2, tb, DT50, DT90)), "median")) - - fit.C.HS.r <- as.numeric(c(fit.C.HS$bparms.optim, endpoints(fit.C.HS)$distimes[c("DT50", "DT90")])) - dev.C.HS <- abs(round(100 * ((median.C.HS - fit.C.HS.r)/median.C.HS), digits=1)) - # deviation <= 0.1% - checkIdentical(dev.C.HS < 1, rep(TRUE, length(dev.C.HS))) -} # }}} - -# Test SFORB model against DFOP solutions to a relative tolerance of 1% # {{{ -test.FOCUS_2006_SFORB <- function() -{ - SFORB <- mkinmod(parent = list(type = "SFORB")) - - # FOCUS_2006_A - # Again it does not make a lot of sense to use a SFO dataset for this - - # FOCUS_2006_B - fit.B.SFORB.1 <- mkinfit(SFORB, FOCUS_2006_B, quiet=TRUE) - fit.B.SFORB.2 <- mkinfit(SFORB, FOCUS_2006_B, solution_type = "deSolve", quiet=TRUE) - - median.B.SFORB <- as.numeric(lapply(subset(FOCUS_2006_DFOP_ref_A_to_B, dataset == "B", - c(M0, k1, k2, DT50, DT90)), "median")) - - fit.B.SFORB.1.r <- as.numeric(c( - parent_0 = fit.B.SFORB.1$bparms.optim[[1]], - k1 = endpoints(fit.B.SFORB.1)$SFORB[[1]], - k2 = endpoints(fit.B.SFORB.1)$SFORB[[2]], - endpoints(fit.B.SFORB.1)$distimes[c("DT50", "DT90")])) - dev.B.SFORB.1 <- abs(round(100 * ((median.B.SFORB - fit.B.SFORB.1.r)/median.B.SFORB), digits=1)) - checkIdentical(dev.B.SFORB.1 < 1, rep(TRUE, length(dev.B.SFORB.1))) - - fit.B.SFORB.2.r <- as.numeric(c( - parent_0 = fit.B.SFORB.2$bparms.optim[[1]], - k1 = endpoints(fit.B.SFORB.2)$SFORB[[1]], - k2 = endpoints(fit.B.SFORB.2)$SFORB[[2]], - endpoints(fit.B.SFORB.2)$distimes[c("DT50", "DT90")])) - dev.B.SFORB.2 <- abs(round(100 * ((median.B.SFORB - fit.B.SFORB.2.r)/median.B.SFORB), digits=1)) - checkIdentical(dev.B.SFORB.2 < 1, rep(TRUE, length(dev.B.SFORB.2))) -} # }}} - -# Test eigenvalue based fit to Schaefer 2007 data against solution from conference paper {{{ -test.mkinfit.schaefer07_complex_example <- function() -{ - schaefer07_complex_model <- mkinmod( - parent = list(type = "SFO", to = c("A1", "B1", "C1"), sink = FALSE), - A1 = list(type = "SFO", to = "A2"), - B1 = list(type = "SFO"), - C1 = list(type = "SFO"), - A2 = list(type = "SFO"), use_of_ff = "max") - - # If we use the default algorithm 'Marq' we need to give a good starting - # estimate for k_A2 in order to find the solution published by Schaefer et al. - fit <- mkinfit(schaefer07_complex_model, method.modFit = "Port", - mkin_wide_to_long(schaefer07_complex_case, time = "time")) - s <- summary(fit) - r <- schaefer07_complex_results - attach(as.list(fit$bparms.optim)) - r$mkin <- c( - k_parent, - s$distimes["parent", "DT50"], - s$ff["parent_A1"], - k_A1, - s$distimes["A1", "DT50"], - s$ff["parent_B1"], - k_B1, - s$distimes["B1", "DT50"], - s$ff["parent_C1"], - k_C1, - s$distimes["C1", "DT50"], - s$ff["A1_A2"], - k_A2, - s$distimes["A2", "DT50"]) - r$means <- (r$KinGUI + r$ModelMaker)/2 - r$mkin.deviation <- abs(round(100 * ((r$mkin - r$means)/r$means), digits=1)) - checkIdentical(r$mkin.deviation < 10, rep(TRUE, 14)) -} # }}} - -# vim: set foldmethod=marker ts=2 sw=2 expandtab: diff --git a/tests/testthat/test_FOCUS_D_UBA_expertise.R b/tests/testthat/test_FOCUS_D_UBA_expertise.R new file mode 100644 index 00000000..f9322714 --- /dev/null +++ b/tests/testthat/test_FOCUS_D_UBA_expertise.R @@ -0,0 +1,58 @@ +# Copyright (C) 2015 Johannes Ranke +# Contact: jranke@uni-bremen.de + +# This file is part of the R package mkin + +# mkin is free software: you can redistribute it and/or modify it under the +# terms of the GNU General Public License as published by the Free Software +# Foundation, either version 3 of the License, or (at your option) any later +# version. + +# This program is distributed in the hope that it will be useful, but WITHOUT +# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS +# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more +# details. + +# You should have received a copy of the GNU General Public License along with +# this program. If not, see + +context("Results for FOCUS D established in expertise for UBA (Ranke 2014)") + +SFO_SFO <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO")) +SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO"), + use_of_ff = "max") + +fit.default <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) +fit.ff <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) + +# Results are from p. 40 + +test_that("Fitted parameters are correct for FOCUS D", { + expect_equivalent(round(fit.ff$bparms.optim, c(2, 4, 4, 4)), + c(99.60, 0.0987, 0.0053, 0.5145)) +}) + +test_that("Fitted parameters are correct for FOCUS D", { + expect_equivalent(round(100 * mkinerrmin(fit.ff)$err.min, 2), + c(6.40, 6.46, 4.69)) +}) + +test_that("DT50/90 are correct for FOCUS D when using formation fractions", { + expect_equal(round(as.numeric(endpoints(fit.ff)$distimes["parent", ]), 2), + c(7.02, 23.33)) + expect_equal(round(as.numeric(endpoints(fit.ff)$distimes["m1", ]), 1), + c(131.8, 437.7)) +}) + +test_that("DT50/90 are correct for FOCUS D when not using formation fractions", { + expect_equal(round(as.numeric(endpoints(fit.default)$distimes["parent", ]), 2), + c(7.02, 23.33)) + expect_equal(round(as.numeric(endpoints(fit.default)$distimes["m1", ]), 1), + c(131.8, 437.7)) +}) + +# References: +# Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative +# zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452 diff --git a/tests/testthat/test_FOCUS_chi2_error_level.R b/tests/testthat/test_FOCUS_chi2_error_level.R new file mode 100644 index 00000000..65e1ada7 --- /dev/null +++ b/tests/testthat/test_FOCUS_chi2_error_level.R @@ -0,0 +1,53 @@ +# Copyright (C) 2014-15 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 + +# These tests were migrated from inst/unitTests/runit.mkinerrmin.R + +context("Calculation of FOCUS chi2 error levels") + +SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO"), + use_of_ff = "max") + +test_that("Chi2 error levels for FOCUS D are as in mkin 0.9-33", { + + fit <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) + + errmin.FOCUS_2006_D_rounded = data.frame( + err.min = c(0.0640, 0.0646, 0.0469), + n.optim = c(4, 2, 2), + df = c(15, 7, 8), + row.names = c("All data", "parent", "m1")) + + expect_equal(round(mkinerrmin(fit), 4), + errmin.FOCUS_2006_D_rounded) +}) + +test_that("Chi2 error levels for FOCUS E are as in mkin 0.9-33", { + + fit <- mkinfit(SFO_SFO.ff, FOCUS_2006_E, quiet = TRUE) + + errmin.FOCUS_2006_E_rounded = data.frame( + err.min = c(0.1544, 0.1659, 0.1095), + n.optim = c(4, 2, 2), + df = c(13, 7, 6), + row.names = c("All data", "parent", "m1")) + + expect_equal(round(mkinerrmin(fit), 4), + errmin.FOCUS_2006_E_rounded) +}) diff --git a/tests/testthat/test_parent_only.R b/tests/testthat/test_parent_only.R index 16fc5131..2ed38ffa 100644 --- a/tests/testthat/test_parent_only.R +++ b/tests/testthat/test_parent_only.R @@ -1,11 +1,35 @@ +# Copyright (C) 2015 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("Fitting of parent only models") -calc_dev.percent <- function(fitlist, reference) { +calc_dev.percent <- function(fitlist, reference, endpoints = TRUE, round_results = NULL) { + dev.percent <- list() for (i in 1:length(fitlist)) { fit <- fitlist[[i]] - results <- c(fit$bparms.optim, - endpoints(fit)$distimes$DT50, - endpoints(fit)$distimes$DT90) + if (endpoints) { + results <- c(fit$bparms.optim, + endpoints(fit)$distimes$DT50, + endpoints(fit)$distimes$DT90) + } else { + results <- fit$bparms.optim + } + if (!missing(round_results)) results <- round(results, round_results) dev.percent[[i]] <- abs(100 * ((reference - results)/reference)) } return(dev.percent) @@ -13,36 +37,170 @@ calc_dev.percent <- function(fitlist, reference) { SFO <- mkinmod(parent = list(type = "SFO")) FOMC <- mkinmod(parent = list(type = "FOMC")) +DFOP <- mkinmod(parent = list(type = "DFOP")) +HS <- mkinmod(parent = list(type = "HS")) +SFORB <- mkinmod(parent = list(type = "SFORB")) -test_that("SFO fit for FOCUS A deviates less than 0.1% from median of values from FOCUS report", { - fits.A.SFO <- list() - fits.A.SFO[[1]] <- mkinfit("SFO", FOCUS_2006_A, quiet=TRUE) - fits.A.SFO[[2]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE) - fits.A.SFO[[3]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE, solution_type = "eigen") - fits.A.SFO[[4]] <- mkinfit(SFO, FOCUS_2006_A, quiet=TRUE, solution_type = "deSolve") +test_that("Fits for FOCUS A deviate less than 0.1% from median of values from FOCUS report", { + fit.A.SFO <- list(mkinfit("SFO", FOCUS_2006_A, quiet = TRUE)) median.A.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, dataset == "A", c(M0, k, DT50, DT90)), "median")) - dev.percent <- calc_dev.percent(fits.A.SFO, median.A.SFO) - expect_equivalent(dev.percent[[1]] < 0.1, rep(TRUE, 4)) - expect_equivalent(dev.percent[[2]] < 0.1, rep(TRUE, 4)) - expect_equivalent(dev.percent[[3]] < 0.1, rep(TRUE, 4)) - expect_equivalent(dev.percent[[4]] < 0.1, rep(TRUE, 4)) + dev.percent.A.SFO <- calc_dev.percent(fit.A.SFO, median.A.SFO) + expect_equivalent(dev.percent.A.SFO[[1]] < 0.1, rep(TRUE, 4)) + + fit.A.FOMC <- list(mkinfit("FOMC", FOCUS_2006_A, quiet = TRUE)) + + median.A.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, + dataset == "A", + c(M0, alpha, beta, DT50, DT90)), "median")) + + dev.percent.A.FOMC <- calc_dev.percent(fit.A.FOMC, median.A.FOMC) + #expect_equivalent(dev.percent.A.FOMC[[1]] < 0.1, rep(TRUE, 5)) # alpha and beta ill-determined + expect_equivalent(dev.percent.A.FOMC[[1]][c(1, 4, 5)] < 0.1, rep(TRUE, 3)) + + fit.A.DFOP <- list(mkinfit("DFOP", FOCUS_2006_A, quiet = TRUE)) + + median.A.DFOP <- as.numeric(lapply(subset(FOCUS_2006_DFOP_ref_A_to_B, + dataset == "A", + c(M0, k1, k2, f, DT50, DT90)), "median")) + + dev.percent.A.DFOP <- calc_dev.percent(fit.A.DFOP, median.A.DFOP) + #expect_equivalent(dev.percent.A.DFOP[[1]] < 0.1, rep(TRUE, 6)) # g/f is ill-determined + expect_equivalent(dev.percent.A.DFOP[[1]][c(1, 2, 3, 5, 6)] < 0.1, rep(TRUE, 5)) + + fit.A.HS <- list(mkinfit("HS", FOCUS_2006_A, quiet = TRUE)) + + median.A.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, + dataset == "A", + c(M0, k1, k2, tb, DT50, DT90)), "median")) + + dev.percent.A.HS <- calc_dev.percent(fit.A.HS, median.A.HS) + expect_equivalent(dev.percent.A.HS[[1]] < 0.1, rep(TRUE, 6)) }) -test_that("SFO fit for FOCUS C deviates less than 0.1% from median of values from FOCUS report", { - fits.C.SFO <- list() - fits.C.SFO[[1]] <- mkinfit("SFO", FOCUS_2006_C, quiet=TRUE) - fits.C.SFO[[2]] <- mkinfit(SFO, FOCUS_2006_C, quiet=TRUE) - fits.C.SFO[[3]] <- mkinfit(SFO, FOCUS_2006_C, quiet=TRUE, solution_type = "deSolve") +test_that("Fits for FOCUS B deviate less than 0.1% from median of values from FOCUS report", { + fit.B.SFO <- list(mkinfit("SFO", FOCUS_2006_B, quiet = TRUE)) + + median.B.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, + dataset == "B", + c(M0, k, DT50, DT90)), "median")) + + dev.percent.B.SFO <- calc_dev.percent(fit.B.SFO, median.B.SFO) + expect_equivalent(dev.percent.B.SFO[[1]] < 0.1, rep(TRUE, 4)) + + fit.B.FOMC <- list(mkinfit("FOMC", FOCUS_2006_B, quiet = TRUE)) + + median.B.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, + dataset == "B", + c(M0, alpha, beta, DT50, DT90)), "median")) + + dev.percent.B.FOMC <- calc_dev.percent(fit.B.FOMC, median.B.FOMC) + expect_equivalent(dev.percent.B.FOMC[[1]] < 0.1, rep(TRUE, 5)) + + fit.B.DFOP <- list(mkinfit("DFOP", FOCUS_2006_B, quiet = TRUE)) + + median.B.DFOP <- as.numeric(lapply(subset(FOCUS_2006_DFOP_ref_A_to_B, + dataset == "B", + c(M0, k1, k2, f, DT50, DT90)), "median")) + + dev.percent.B.DFOP <- calc_dev.percent(fit.B.DFOP, median.B.DFOP) + #expect_equivalent(dev.percent.B.DFOP[[1]] < 0.1, rep(TRUE, 6)) # g/f is ill-determined + expect_equivalent(dev.percent.B.DFOP[[1]][c(1, 2, 3, 5, 6)] < 0.1, rep(TRUE, 5)) + + fit.B.HS <- list(mkinfit("HS", FOCUS_2006_B, quiet = TRUE)) + + median.B.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, + dataset == "B", + c(M0, k1, k2, tb, DT50, DT90)), + "median", na.rm = TRUE)) + + dev.percent.B.HS <- calc_dev.percent(fit.B.HS, median.B.HS) + expect_equivalent(dev.percent.B.HS[[1]] < 0.1, rep(TRUE, 6)) + + fit.B.SFORB <- list(mkinfit(SFORB, FOCUS_2006_B, quiet=TRUE)) + dev.percent.B.SFORB <- calc_dev.percent(fit.B.SFORB, median.B.DFOP) + expect_equivalent(dev.percent.B.SFORB[[1]][c(1, 5, 6)] < 0.1, rep(TRUE, 3)) +}) + +test_that("Fits for FOCUS C deviate less than 0.1% from median of values from FOCUS report", { + fit.C.SFO <- list(mkinfit("SFO", FOCUS_2006_C, quiet = TRUE)) median.C.SFO <- as.numeric(lapply(subset(FOCUS_2006_SFO_ref_A_to_F, - dataset == "C", - c(M0, k, DT50, DT90)), "median")) - dev.percent <- calc_dev.percent(fits.C.SFO, median.C.SFO) - expect_equivalent(dev.percent[[1]] < 0.1, rep(TRUE, 4)) - expect_equivalent(dev.percent[[2]] < 0.1, rep(TRUE, 4)) - expect_equivalent(dev.percent[[3]] < 0.1, rep(TRUE, 4)) + dataset == "C", + c(M0, k, DT50, DT90)), "median")) + + dev.percent.C.SFO <- calc_dev.percent(fit.C.SFO, median.C.SFO) + expect_equivalent(dev.percent.C.SFO[[1]] < 0.1, rep(TRUE, 4)) + + fit.C.FOMC <- list(mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)) + + median.C.FOMC <- as.numeric(lapply(subset(FOCUS_2006_FOMC_ref_A_to_F, + dataset == "C", + c(M0, alpha, beta, DT50, DT90)), "median")) + + dev.percent.C.FOMC <- calc_dev.percent(fit.C.FOMC, median.C.FOMC, + round_results = 2) # Not enough precision in FOCUS results + expect_equivalent(dev.percent.C.FOMC[[1]] < 0.1, rep(TRUE, 5)) + + fit.C.HS <- list(mkinfit("HS", FOCUS_2006_C, quiet = TRUE)) + + median.C.HS <- as.numeric(lapply(subset(FOCUS_2006_HS_ref_A_to_F, + dataset == "C", + c(M0, k1, k2, tb, DT50, DT90)), "median")) + + dev.percent.C.HS <- calc_dev.percent(fit.C.HS, median.C.HS, round_results = c(2, 4, 6, 2, 2)) + # Not enouth precision in k2 available + expect_equivalent(dev.percent.C.HS[[1]] < c(0.1, 0.1, 0.3, 0.1, 0.1, 0.1), rep(TRUE, 6)) +}) + +test_that("SFO fits give approximately (0.001%) equal results with different solution methods", { + fit.A.SFO.default <- mkinfit("SFO", FOCUS_2006_A, quiet = TRUE)$bparms.optim + + fits.A.SFO <- list() + fits.A.SFO[[1]] <- mkinfit(SFO, FOCUS_2006_A, quiet = TRUE) + fits.A.SFO[[2]] <- mkinfit(SFO, FOCUS_2006_A, quiet = TRUE, solution_type = "eigen") + fits.A.SFO[[3]] <- mkinfit(SFO, FOCUS_2006_A, quiet = TRUE, solution_type = "deSolve") + + dev.percent <- calc_dev.percent(fits.A.SFO, fit.A.SFO.default, endpoints = FALSE) + expect_equivalent(dev.percent[[1]] < 0.001, rep(TRUE, 2)) + expect_equivalent(dev.percent[[2]] < 0.001, rep(TRUE, 2)) + expect_equivalent(dev.percent[[3]] < 0.001, rep(TRUE, 2)) +}) + +test_that("FOMC fits give approximately (0.001%) equal results with different solution methods", { + fit.C.FOMC.default <- mkinfit("FOMC", FOCUS_2006_C, quiet = TRUE)$bparms.optim + + fits.C.FOMC <- list() + fits.C.FOMC[[1]] <- mkinfit(FOMC, FOCUS_2006_C, quiet = TRUE) + fits.C.FOMC[[2]] <- mkinfit(FOMC, FOCUS_2006_C, quiet = TRUE, solution_type = "deSolve") + + dev.percent <- calc_dev.percent(fits.C.FOMC, fit.C.FOMC.default, endpoints = FALSE) + expect_equivalent(dev.percent[[1]] < 0.001, rep(TRUE, 3)) + expect_equivalent(dev.percent[[2]] < 0.001, rep(TRUE, 3)) +}) + +test_that("DFOP fits give approximately (0.001%) equal results with different solution methods", { + fit.C.DFOP.default <- mkinfit("DFOP", FOCUS_2006_C, quiet = TRUE)$bparms.optim + + fits.C.DFOP <- list() + fits.C.DFOP[[1]] <- mkinfit(DFOP, FOCUS_2006_C, quiet = TRUE) + fits.C.DFOP[[2]] <- mkinfit(DFOP, FOCUS_2006_C, quiet = TRUE, solution_type = "deSolve") + + dev.percent <- calc_dev.percent(fits.C.DFOP, fit.C.DFOP.default, endpoints = FALSE) + expect_equivalent(dev.percent[[1]] < 0.001, rep(TRUE, 4)) + expect_equivalent(dev.percent[[2]] < 0.001, rep(TRUE, 4)) +}) + +test_that("SFORB fits give approximately (0.001%) equal results with different solution methods", { + fit.B.SFORB.default <- mkinfit(SFORB, FOCUS_2006_B, quiet=TRUE)$bparms.optim + + fits.B.SFORB <- list() + fits.B.SFORB[[1]] <- mkinfit(SFORB, FOCUS_2006_B, quiet=TRUE, solution_type = "eigen") + fits.B.SFORB[[2]] <- mkinfit(SFORB, FOCUS_2006_B, quiet=TRUE, solution_type = "deSolve") + dev.percent <- calc_dev.percent(fits.B.SFORB, fit.B.SFORB.default, endpoints = FALSE) + expect_equivalent(dev.percent[[1]] < 0.001, rep(TRUE, 4)) + expect_equivalent(dev.percent[[2]] < 0.001, rep(TRUE, 4)) }) diff --git a/tests/testthat/test_schaefer07_complex_case.R b/tests/testthat/test_schaefer07_complex_case.R new file mode 100644 index 00000000..1ef5106e --- /dev/null +++ b/tests/testthat/test_schaefer07_complex_case.R @@ -0,0 +1,68 @@ +# Copyright (C) 2014-2015 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 + +# This test was migrated from a RUnit test inst/unitTests/runit.mkinfit.R + +context("Complex test case from Schaefer et al. (2007) Piacenza paper") + +schaefer07_complex_model <- mkinmod( + parent = list(type = "SFO", to = c("A1", "B1", "C1"), sink = FALSE), + A1 = list(type = "SFO", to = "A2"), + B1 = list(type = "SFO"), + C1 = list(type = "SFO"), + A2 = list(type = "SFO"), use_of_ff = "max") + +schaefer07_long <- mkin_wide_to_long(schaefer07_complex_case, time = "time") + +fit.default <- mkinfit(schaefer07_complex_model, schaefer07_long, quiet = TRUE) + +test_that("Complex test case from Schaefer (2007) can be reproduced (10% tolerance)", { + + s <- summary(fit.default) + r <- schaefer07_complex_results + + with(as.list(fit.default$bparms.optim), { + r$mkin <<- c( + k_parent, + s$distimes["parent", "DT50"], + s$ff["parent_A1"], + k_A1, + s$distimes["A1", "DT50"], + s$ff["parent_B1"], + k_B1, + s$distimes["B1", "DT50"], + s$ff["parent_C1"], + k_C1, + s$distimes["C1", "DT50"], + s$ff["A1_A2"], + k_A2, + s$distimes["A2", "DT50"]) + } + ) + r$means <- (r$KinGUI + r$ModelMaker)/2 + r$mkin.deviation <- abs(round(100 * ((r$mkin - r$means)/r$means), digits=1)) + expect_equal(r$mkin.deviation < 10, rep(TRUE, 14)) +}) + +test_that("We avoid the local minumum with default settings", { + # If we use optimisation algorithm 'Marq' we get a local minimum with a + # sum of squared residuals of 273.3707 + # When using 'Marq', we need to give a good starting estimate e.g. for k_A2 in + # order to get the optimum with sum of squared residuals 240.5686 + expect_equal(round(fit.default$ssr, 4), 240.5686) +}) -- cgit v1.2.1