diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-31 11:47:23 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-31 11:47:23 +0100 |
| commit | 99947961be1cf0a7eed80426bc3d8cc6daa6d106 (patch) | |
| tree | 211d0400cc2fc4990a5e36f877273dde14549578 /tests/testthat/test_mkinpredict_SFO_SFO.R | |
| parent | 669447c2a4581a4c8dba18ab40ba6938a42b8267 (diff) | |
Reorganize tests to reduce time on winbuilder
Diffstat (limited to 'tests/testthat/test_mkinpredict_SFO_SFO.R')
| -rw-r--r-- | tests/testthat/test_mkinpredict_SFO_SFO.R | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/tests/testthat/test_mkinpredict_SFO_SFO.R b/tests/testthat/test_mkinpredict_SFO_SFO.R index 3fcdb3a2..d0d856fa 100644 --- a/tests/testthat/test_mkinpredict_SFO_SFO.R +++ b/tests/testthat/test_mkinpredict_SFO_SFO.R @@ -31,20 +31,20 @@ test_that("Variants of model predictions for SFO_SFO model give equivalent resul m1 = list(type = "SFO"), use_of_ff = "max", quiet = TRUE)
ot = seq(0, 100, by = 1)
- r.1.e <- subset(mkinpredict(SFO_SFO.1,
- c(k_parent_m1 = 0.1, k_parent_sink = 0.1, k_m1_sink = 0.1),
- c(parent = 100, m1 = 0), ot, solution_type = "eigen"),
+ r.1.e <- subset(mkinpredict(SFO_SFO.1,
+ c(k_parent_m1 = 0.1, k_parent_sink = 0.1, k_m1_sink = 0.1),
+ c(parent = 100, m1 = 0), ot, solution_type = "eigen"),
time %in% c(1, 10, 50, 100))
- r.1.d <- subset(mkinpredict(SFO_SFO.1,
- c(k_parent_m1 = 0.1, k_parent_sink = 0.1, k_m1_sink = 0.1),
- c(parent = 100, m1 = 0), ot, solution_type = "deSolve"),
+ r.1.d <- subset(mkinpredict(SFO_SFO.1,
+ c(k_parent_m1 = 0.1, k_parent_sink = 0.1, k_m1_sink = 0.1),
+ c(parent = 100, m1 = 0), ot, solution_type = "deSolve"),
time %in% c(1, 10, 50, 100))
- r.2.e <- subset(mkinpredict(SFO_SFO.2, c(k_parent = 0.2, f_parent_to_m1 = 0.5, k_m1 = 0.1),
- c(parent = 100, m1 = 0), ot, solution_type = "eigen"),
+ r.2.e <- subset(mkinpredict(SFO_SFO.2, c(k_parent = 0.2, f_parent_to_m1 = 0.5, k_m1 = 0.1),
+ c(parent = 100, m1 = 0), ot, solution_type = "eigen"),
time %in% c(1, 10, 50, 100))
- r.2.d <- subset(mkinpredict(SFO_SFO.2, c(k_parent = 0.2, f_parent_to_m1 = 0.5, k_m1 = 0.1),
- c(parent = 100, m1 = 0), ot, solution_type = "deSolve"),
+ r.2.d <- subset(mkinpredict(SFO_SFO.2, c(k_parent = 0.2, f_parent_to_m1 = 0.5, k_m1 = 0.1),
+ c(parent = 100, m1 = 0), ot, solution_type = "deSolve"),
time %in% c(1, 10, 50, 100))
# Compare eigen and deSolve for minimum use of formation fractions
|