diff options
Diffstat (limited to 'tests/testthat/test_FOCUS_D_UBA_expertise.R')
| -rw-r--r-- | tests/testthat/test_FOCUS_D_UBA_expertise.R | 70 |
1 files changed, 30 insertions, 40 deletions
diff --git a/tests/testthat/test_FOCUS_D_UBA_expertise.R b/tests/testthat/test_FOCUS_D_UBA_expertise.R index 5d5a801a..3b241aa4 100644 --- a/tests/testthat/test_FOCUS_D_UBA_expertise.R +++ b/tests/testthat/test_FOCUS_D_UBA_expertise.R @@ -1,4 +1,4 @@ -# Copyright (C) 2015 Johannes Ranke +# Copyright (C) 2015,2018 Johannes Ranke # Contact: jranke@uni-bremen.de # This file is part of the R package mkin @@ -18,69 +18,59 @@ 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"), quiet = TRUE) -SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), - m1 = list(type = "SFO"), - use_of_ff = "max", quiet = TRUE) +# Results are from p. 40 -fit.default <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) -fit.ff <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) +test_that("Fits without formation fractions are correct for FOCUS D", { + SFO_SFO <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO"), quiet = TRUE) + fit.default <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE) -# Results are from p. 40 + 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)) -test_that("Fitted parameters are correct for FOCUS D", { + expect_equal(signif(summary(fit.default)$bpar[, "t value"], 5), + c(parent_0 = 61.720, k_parent_sink = 12.777, k_parent_m1 = 24.248, k_m1_sink = 7.3486)) +}) + +test_that("Fits with formation fractions are correct for FOCUS D", { + skip_on_cran() + SFO_SFO.ff <- mkinmod(parent = list(type = "SFO", to = "m1"), + m1 = list(type = "SFO"), + use_of_ff = "max", quiet = TRUE) + + fit.ff <- mkinfit(SFO_SFO.ff, FOCUS_2006_D, quiet = TRUE) expect_equivalent(round(fit.ff$bparms.optim, c(2, 4, 4, 4)), c(99.60, 0.0987, 0.0053, 0.5145)) -}) -test_that("FOCUS chi2 error levels 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)$distimes["m1", ]), 1), - c(131.8, 437.7)) -}) - # References: # Ranke (2014) Prüfung und Validierung von Modellierungssoftware als Alternative # zu ModelMaker 4.0, Umweltbundesamt Projektnummer 27452 -context("The t-test for significant difference from zero") - -test_that("The t-value for fits using internal transformations corresponds with result from FME", { - - expect_equal(signif(summary(fit.default)$bpar[, "t value"], 5), - c(parent_0 = 61.720, k_parent_sink = 12.777, k_parent_m1 = 24.248, k_m1_sink = 7.3486)) - -}) - -m_synth_DFOP_par.minff <- mkinmod(parent = mkinsub("DFOP", c("M1", "M2")), - M1 = mkinsub("SFO"), - M2 = mkinsub("SFO"), - use_of_ff = "min", quiet = TRUE) - -fit_DFOP_par_c_2 <- mkinfit(m_synth_DFOP_par.minff, - synthetic_data_for_UBA_2014[[12]]$data, - quiet = TRUE) - test_that("The t-value for fits using internal transformations corresponds with results from FME, synthetic data", { + skip_on_cran() + m_synth_DFOP_par.minff <- mkinmod(parent = mkinsub("DFOP", c("M1", "M2")), + M1 = mkinsub("SFO"), + M2 = mkinsub("SFO"), + use_of_ff = "min", quiet = TRUE) + + fit_DFOP_par_c_2 <- mkinfit(m_synth_DFOP_par.minff, + synthetic_data_for_UBA_2014[[12]]$data, + quiet = TRUE) # Note that the k1 and k2 are exchanged in the untransformed fit evaluated with FME for this test expect_equal(signif(summary(fit_DFOP_par_c_2)$bpar[1:7, "t value"], 5), c(parent_0 = 80.054, k_M1_sink = 12.291, k_M2_sink = 10.588, f_parent_to_M1 = 21.4960, f_parent_to_M2 = 24.0890, k1 = 16.1450, k2 = 8.1747)) - }) |