diff options
Diffstat (limited to 'tests/testthat/test_error_models.R')
| -rw-r--r-- | tests/testthat/test_error_models.R | 19 |
1 files changed, 13 insertions, 6 deletions
diff --git a/tests/testthat/test_error_models.R b/tests/testthat/test_error_models.R index 5a7aa4e8..1ec48605 100644 --- a/tests/testthat/test_error_models.R +++ b/tests/testthat/test_error_models.R @@ -72,9 +72,6 @@ test_that("Error model 'tc' works", { test_that("Reweighting method 'tc' produces reasonable variance estimates", { - # I need to make the tc method more robust against that - # skip_on_cran() - # Check if we can approximately obtain the parameters and the error model # components that were used in the data generation @@ -94,15 +91,25 @@ test_that("Reweighting method 'tc' produces reasonable variance estimates", { sdfunc = function(x) sigma_twocomp(x, 0.5, 0.07), n = 1, reps = 100, digits = 5, LOD = -Inf, seed = 123456) + # Per default (on my box) use all cores minus one + n_cores <- parallel::detectCores() - 1 + + # We are only allowed one core on travis + if (Sys.getenv("TRAVIS") != "") n_cores = 1 + + # Also on Windows we would need to make a cluster first, + # and I do not know how this would work on winbuilder or CRAN, so + if (Sys.info()["sysname"] == "Windows") n_cores = 1 + # Unweighted fits f_2_10 <- mmkin("DFOP", d_2_10, error_model = "const", quiet = TRUE, - cores = if (Sys.getenv("TRAVIS") != "") 1 else 15) + cores = n_cores) parms_2_10 <- apply(sapply(f_2_10, function(x) x$bparms.optim), 1, mean) parm_errors_2_10 <- (parms_2_10 - parms_DFOP_optim) / parms_DFOP_optim expect_true(all(abs(parm_errors_2_10) < 0.12)) f_2_10_tc <- mmkin("DFOP", d_2_10, error_model = "tc", quiet = TRUE, - cores = if (Sys.getenv("TRAVIS") != "") 1 else 15) + cores = n_cores) parms_2_10_tc <- apply(sapply(f_2_10_tc, function(x) x$bparms.optim), 1, mean) parm_errors_2_10_tc <- (parms_2_10_tc - parms_DFOP_optim) / parms_DFOP_optim expect_true(all(abs(parm_errors_2_10_tc) < 0.05)) @@ -153,7 +160,7 @@ test_that("Reweighting method 'tc' produces reasonable variance estimates", { # Doing more takes a lot of computing power skip_on_travis() f_met_2_15_tc_e4 <- mmkin(list(m_synth_DFOP_lin), d_met_2_15, quiet = TRUE, - error_model = "tc", cores = 15) + error_model = "tc", cores = n_cores) parms_met_2_15_tc_e4 <- apply(sapply(f_met_2_15_tc_e4, function(x) x$bparms.optim), 1, mean) parm_errors_met_2_15_tc_e4 <- (parms_met_2_15_tc_e4[names(parms_DFOP_lin_optim)] - |