aboutsummaryrefslogtreecommitdiff
path: root/test.log
diff options
context:
space:
mode:
authorJohannes Ranke <jranke@uni-bremen.de>2019-02-26 20:28:15 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2019-02-26 20:33:32 +0100
commit396e40d2c45d81a8e74c41a2f632665021e980a1 (patch)
treec7ab9b5356361b1939e9b00183a7f31071782f64 /test.log
parent64e636d11311be57978ef394c48c9b43fe219059 (diff)
NAFTA SOP Attachment vignette
Also: - Change rounding in print.nafta - Add dots argument to nafta() - Use cores=1 in examples - Restrict N in IORE model to values > 0
Diffstat (limited to 'test.log')
-rw-r--r--test.log43
1 files changed, 15 insertions, 28 deletions
diff --git a/test.log b/test.log
index 77981c86..98303e9b 100644
--- a/test.log
+++ b/test.log
@@ -1,24 +1,10 @@
Loading mkin
Testing mkin
✔ | OK F W S | Context
- ⠏ | 0 | Export dataset for reading into CAKE ⠋ | 1 | Export dataset for reading into CAKE ⠙ | 1 1 | Export dataset for reading into CAKE ✖ | 1 1 | Export dataset for reading into CAKE
-────────────────────────────────────────────────────────────────────────────────
-test_CAKE_export.R:32: error: Test data from Appendix D are correctly evaluated
-Objekt 'MRID_555555' nicht gefunden
-1: expect_message(res <- nafta(MRID_555555, "MRID 555555")) at /home/jranke/git/mkin/tests/testthat/test_CAKE_export.R:32
-2: quasi_capture(enquo(object), capture_messages, label = label)
-3: capture(act$val <- eval_bare(get_expr(quo), get_env(quo)))
-4: withCallingHandlers(code, message = function(condition) {
- out$push(condition)
- invokeRestart("muffleMessage")
- })
-5: eval_bare(get_expr(quo), get_env(quo))
-6: nafta(MRID_555555, "MRID 555555")
-7: levels(ds$name) at /home/jranke/git/mkin/R/nafta.R:20
-────────────────────────────────────────────────────────────────────────────────
+ ⠏ | 0 | Export dataset for reading into CAKE ⠋ | 1 | Export dataset for reading into CAKE ✔ | 1 | Export dataset for reading into CAKE
⠏ | 0 | Calculation of FOCUS chi2 error levels ⠋ | 1 | Calculation of FOCUS chi2 error levels ⠙ | 2 | Calculation of FOCUS chi2 error levels ✔ | 2 | Calculation of FOCUS chi2 error levels [2.3 s]
- ⠏ | 0 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠋ | 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠙ | 2 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠹ | 3 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠸ | 4 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠼ | 5 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠴ | 6 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠦ | 7 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠧ | 8 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠇ | 9 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠏ | 10 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠋ | 11 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠙ | 12 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠹ | 13 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠸ | 14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ✔ | 14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [7.9 s]
- ⠏ | 0 | Iteratively reweighted least squares (IRLS) fitting ⠋ | 1 | Iteratively reweighted least squares (IRLS) fitting ⠙ | 2 | Iteratively reweighted least squares (IRLS) fitting ⠹ | 2 1 | Iteratively reweighted least squares (IRLS) fitting ✔ | 2 1 | Iteratively reweighted least squares (IRLS) fitting [16.0 s]
+ ⠏ | 0 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠋ | 1 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠙ | 2 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠹ | 3 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠸ | 4 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠼ | 5 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠴ | 6 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠦ | 7 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠧ | 8 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠇ | 9 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠏ | 10 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠋ | 11 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠙ | 12 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠹ | 13 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ⠸ | 14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) ✔ | 14 | Results for FOCUS D established in expertise for UBA (Ranke 2014) [8.0 s]
+ ⠏ | 0 | Iteratively reweighted least squares (IRLS) fitting ⠋ | 1 | Iteratively reweighted least squares (IRLS) fitting ⠙ | 2 | Iteratively reweighted least squares (IRLS) fitting ⠹ | 2 1 | Iteratively reweighted least squares (IRLS) fitting ✔ | 2 1 | Iteratively reweighted least squares (IRLS) fitting [15.9 s]
────────────────────────────────────────────────────────────────────────────────
test_irls.R:48: skip: Reweighting method 'tc' works
Too much trouble with datasets that are randomly generated
@@ -29,23 +15,24 @@ test_logistic.R:41: skip: The logistic fit can be done via differential equation
Skip slow fit of logistic model using deSolve without compilation
────────────────────────────────────────────────────────────────────────────────
⠏ | 0 | Model predictions with mkinpredict ⠋ | 1 | Model predictions with mkinpredict ⠙ | 2 | Model predictions with mkinpredict ⠹ | 3 | Model predictions with mkinpredict ✔ | 3 | Model predictions with mkinpredict [0.3 s]
- ⠏ | 0 | Evaluations according to 2015 NAFTA guidance ⠋ | 1 | Evaluations according to 2015 NAFTA guidance ⠙ | 2 | Evaluations according to 2015 NAFTA guidance ⠹ | 3 | Evaluations according to 2015 NAFTA guidance ⠸ | 4 | Evaluations according to 2015 NAFTA guidance ⠼ | 5 | Evaluations according to 2015 NAFTA guidance ⠴ | 6 | Evaluations according to 2015 NAFTA guidance ⠦ | 7 | Evaluations according to 2015 NAFTA guidance ⠧ | 8 | Evaluations according to 2015 NAFTA guidance ⠇ | 9 | Evaluations according to 2015 NAFTA guidance ⠏ | 9 1 | Evaluations according to 2015 NAFTA guidance ⠏ | 10 | Evaluations according to 2015 NAFTA guidance ⠋ | 11 | Evaluations according to 2015 NAFTA guidance ⠙ | 12 | Evaluations according to 2015 NAFTA guidance ⠹ | 13 | Evaluations according to 2015 NAFTA guidance ⠸ | 14 | Evaluations according to 2015 NAFTA guidance ⠼ | 15 | Evaluations according to 2015 NAFTA guidance ⠴ | 16 | Evaluations according to 2015 NAFTA guidance ⠦ | 17 | Evaluations according to 2015 NAFTA guidance ✔ | 17 | Evaluations according to 2015 NAFTA guidance [1.5 s]
- ⠏ | 0 | Fitting of parent only models ⠋ | 1 | Fitting of parent only models ⠙ | 2 | Fitting of parent only models ⠹ | 3 | Fitting of parent only models ⠸ | 4 | Fitting of parent only models ⠼ | 5 | Fitting of parent only models ⠴ | 6 | Fitting of parent only models ⠦ | 7 | Fitting of parent only models ⠧ | 8 | Fitting of parent only models ⠇ | 9 | Fitting of parent only models ⠏ | 10 | Fitting of parent only models ⠋ | 11 | Fitting of parent only models ⠙ | 12 | Fitting of parent only models ⠹ | 13 | Fitting of parent only models ⠸ | 14 | Fitting of parent only models ⠼ | 15 | Fitting of parent only models ⠴ | 16 | Fitting of parent only models ⠦ | 17 | Fitting of parent only models ⠧ | 18 | Fitting of parent only models ⠇ | 19 | Fitting of parent only models ⠏ | 20 | Fitting of parent only models ⠋ | 21 | Fitting of parent only models ✔ | 21 | Fitting of parent only models [24.5 s]
- ⠏ | 0 | Calculation of maximum time weighted average concentrations (TWAs) ⠋ | 1 | Calculation of maximum time weighted average concentrations (TWAs) ⠙ | 2 | Calculation of maximum time weighted average concentrations (TWAs) ⠹ | 3 | Calculation of maximum time weighted average concentrations (TWAs) ⠸ | 4 | Calculation of maximum time weighted average concentrations (TWAs) ⠼ | 5 | Calculation of maximum time weighted average concentrations (TWAs) ⠴ | 6 | Calculation of maximum time weighted average concentrations (TWAs) ⠦ | 7 | Calculation of maximum time weighted average concentrations (TWAs) ⠧ | 8 | Calculation of maximum time weighted average concentrations (TWAs) ✔ | 8 | Calculation of maximum time weighted average concentrations (TWAs) [7.3 s]
- ⠏ | 0 | Summary ⠋ | 1 | Summary ✔ | 1 | Summary
- ⠏ | 0 | Plotting ⠋ | 1 | Plotting ⠙ | 1 1 | Plotting ⠹ | 2 1 | Plotting ⠸ | 3 1 | Plotting ✔ | 3 1 | Plotting [0.3 s]
+ ⠏ | 0 | Evaluations according to 2015 NAFTA guidance ⠋ | 1 | Evaluations according to 2015 NAFTA guidance ⠙ | 2 | Evaluations according to 2015 NAFTA guidance ⠹ | 3 | Evaluations according to 2015 NAFTA guidance ⠸ | 4 | Evaluations according to 2015 NAFTA guidance ⠼ | 5 | Evaluations according to 2015 NAFTA guidance ⠴ | 6 | Evaluations according to 2015 NAFTA guidance ⠦ | 7 | Evaluations according to 2015 NAFTA guidance ⠧ | 8 | Evaluations according to 2015 NAFTA guidance ⠇ | 9 | Evaluations according to 2015 NAFTA guidance ⠏ | 9 1 | Evaluations according to 2015 NAFTA guidance ⠏ | 10 | Evaluations according to 2015 NAFTA guidance ⠋ | 10 1 | Evaluations according to 2015 NAFTA guidance ⠙ | 11 1 | Evaluations according to 2015 NAFTA guidance ⠹ | 12 1 | Evaluations according to 2015 NAFTA guidance ⠸ | 13 1 | Evaluations according to 2015 NAFTA guidance ⠼ | 14 1 | Evaluations according to 2015 NAFTA guidance ⠴ | 15 1 | Evaluations according to 2015 NAFTA guidance ⠦ | 16 1 | Evaluations according to 2015 NAFTA guidance ✖ | 16 1 | Evaluations according to 2015 NAFTA guidance [1.5 s]
────────────────────────────────────────────────────────────────────────────────
-test_plots_summary_twa.R:76: skip: Plotting mmkin objects is reproducible
-Figure not generated yet: mkinparplot-for-focus-c-sfo.svg
-Please run `vdiffr::manage_cases()` to validate the figure.
+test_nafta.R:50: failure: Test data from Appendix D are correctly evaluated
+round(res$distimes[, 1:2]) not equivalent to `dtx_sop`.
+1/6 mismatches
+[5] 5192060 - 5192066 == -6
────────────────────────────────────────────────────────────────────────────────
+ ⠏ | 0 | Fitting of parent only models ⠋ | 1 | Fitting of parent only models ⠙ | 2 | Fitting of parent only models ⠹ | 3 | Fitting of parent only models ⠸ | 4 | Fitting of parent only models ⠼ | 5 | Fitting of parent only models ⠴ | 6 | Fitting of parent only models ⠦ | 7 | Fitting of parent only models ⠧ | 8 | Fitting of parent only models ⠇ | 9 | Fitting of parent only models ⠏ | 10 | Fitting of parent only models ⠋ | 11 | Fitting of parent only models ⠙ | 12 | Fitting of parent only models ⠹ | 13 | Fitting of parent only models ⠸ | 14 | Fitting of parent only models ⠼ | 15 | Fitting of parent only models ⠴ | 16 | Fitting of parent only models ⠦ | 17 | Fitting of parent only models ⠧ | 18 | Fitting of parent only models ⠇ | 19 | Fitting of parent only models ⠏ | 20 | Fitting of parent only models ⠋ | 21 | Fitting of parent only models ✔ | 21 | Fitting of parent only models [23.9 s]
+ ⠏ | 0 | Calculation of maximum time weighted average concentrations (TWAs) ⠋ | 1 | Calculation of maximum time weighted average concentrations (TWAs) ⠙ | 2 | Calculation of maximum time weighted average concentrations (TWAs) ⠹ | 3 | Calculation of maximum time weighted average concentrations (TWAs) ⠸ | 4 | Calculation of maximum time weighted average concentrations (TWAs) ⠼ | 5 | Calculation of maximum time weighted average concentrations (TWAs) ⠴ | 6 | Calculation of maximum time weighted average concentrations (TWAs) ⠦ | 7 | Calculation of maximum time weighted average concentrations (TWAs) ⠧ | 8 | Calculation of maximum time weighted average concentrations (TWAs) ✔ | 8 | Calculation of maximum time weighted average concentrations (TWAs) [7.4 s]
+ ⠏ | 0 | Summary ⠋ | 1 | Summary ✔ | 1 | Summary
+ ⠏ | 0 | Plotting ⠋ | 1 | Plotting ⠙ | 2 | Plotting ⠹ | 3 | Plotting ⠸ | 4 | Plotting ✔ | 4 | Plotting [0.3 s]
⠏ | 0 | Complex test case from Schaefer et al. (2007) Piacenza paper ⠋ | 1 | Complex test case from Schaefer et al. (2007) Piacenza paper ⠙ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper ✔ | 2 | Complex test case from Schaefer et al. (2007) Piacenza paper [5.9 s]
- ⠏ | 0 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠋ | 1 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠙ | 2 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠹ | 3 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠸ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) ✔ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) [7.5 s]
+ ⠏ | 0 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠋ | 1 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠙ | 2 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠹ | 3 | Results for synthetic data established in expertise for UBA (Ranke 2014) ⠸ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) ✔ | 4 | Results for synthetic data established in expertise for UBA (Ranke 2014) [7.4 s]
══ Results ═════════════════════════════════════════════════════════════════════
-Duration: 75.2 s
+Duration: 74.6 s
OK: 79
Failed: 1
Warnings: 0
-Skipped: 3
+Skipped: 2

Contact - Imprint