diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2015-05-15 10:39:55 +0200 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2015-05-15 10:39:55 +0200 | 
| commit | 25a9e7b1014d0b9bc956b45a5da61496a7b37ccf (patch) | |
| tree | cc7de9074bbe238436e998bf167725e8e014e4a6 | |
| parent | 656466946f093617ababebe5ec3b36809234112a (diff) | |
Skip testing FOMC with FOCUS A Windows
Testing the package on winbuilder shows that the Port algorithm
does not converge on Windows with this combination, which is
not a problem as the FOMC model is not appropriate for the dataset
anyways.
| -rw-r--r-- | tests/testthat/test_parent_only.R | 24 | 
1 files changed, 15 insertions, 9 deletions
| diff --git a/tests/testthat/test_parent_only.R b/tests/testthat/test_parent_only.R index 2ed38ffa..b022fe4e 100644 --- a/tests/testthat/test_parent_only.R +++ b/tests/testthat/test_parent_only.R @@ -51,15 +51,21 @@ test_that("Fits for FOCUS A deviate less than 0.1% from median of values from FO    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)) +  # Fitting FOCUS A with FOMC is possible, but the correlation between +  # alpha and beta obtained on Linux is 1.0000, and the test failed on Windows, +  # as the Port algorithm did not converge (winbuilder, 2015-05-15) +  if (.Platform$OS.type != "windows") { +    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) +    # alpha and are beta ill-determined, do not compare those +    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)) | 
