Last updated on 2024-01-25 06:52:43 CET.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 3.5.2 | 51.29 | 149.96 | 201.25 | OK | |
r-devel-linux-x86_64-debian-gcc | 3.5.2 | 33.77 | 115.76 | 149.53 | OK | |
r-devel-linux-x86_64-fedora-clang | 3.5.2 | 279.16 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 3.5.2 | 273.18 | OK | |||
r-devel-windows-x86_64 | 3.5.2 | 40.00 | 201.00 | 241.00 | OK | |
r-patched-linux-x86_64 | 3.5.2 | 33.17 | 129.03 | 162.20 | ERROR | |
r-release-linux-x86_64 | 3.5.2 | 34.23 | 90.07 | 124.30 | ERROR | |
r-release-macos-arm64 | 3.5.2 | 71.00 | ERROR | |||
r-release-macos-x86_64 | 3.5.2 | 160.00 | OK | |||
r-release-windows-x86_64 | 3.5.2 | 55.00 | 250.00 | 305.00 | OK | |
r-oldrel-macos-arm64 | 3.5.2 | 87.00 | ERROR | |||
r-oldrel-windows-x86_64 | 3.5.2 | 51.00 | 240.00 | 291.00 | OK |
Version: 3.5.2
Check: tests
Result: ERROR
Running ‘testthat.R’ [45s/66s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> test_check("DMCfun")
Loading required package: DMCfun
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 106 0.66 474 95 0.0
incomp 459 95 1.36 404 95 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.9 354.8 374.7 394.6 416.3 441.4 472.1 512.4 578.6
incomp 364.0 385.7 403.5 420.3 438.1 458.5 483.6 518.5 579.1
mean 348.0 370.3 389.1 407.5 427.2 450.0 477.8 515.4 578.8
effect 32.1 30.9 28.8 25.6 21.8 17.1 11.5 6.0 0.4
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.996 0.992 0.990 0.992
incomp 0.965 0.989 0.992 0.993 0.993
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 105 0.63 476 104 0.0
incomp 459 95 1.26 404 92 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 332.2 355.5 375.5 395.5 417.2 442.3 472.9 513.0 579.4
incomp 363.3 385.8 403.7 420.9 438.7 459.1 484.2 518.8 579.3
mean 347.8 370.7 389.6 408.2 427.9 450.7 478.5 515.9 579.4
effect 31.1 30.4 28.2 25.4 21.5 16.8 11.3 5.8 -0.1
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.995 0.992 0.991 0.991
incomp 0.967 0.990 0.993 0.994 0.993
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 106 0.71 476 102 0.0
incomp 458 95 1.23 401 94 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.0 354.4 374.6 394.8 417.0 442.0 472.7 513.7 578.9
incomp 363.6 385.6 403.8 420.9 438.4 458.5 483.2 518.0 578.2
mean 347.3 370.0 389.2 407.9 427.7 450.2 477.9 515.8 578.6
effect 32.6 31.2 29.1 26.2 21.3 16.4 10.5 4.3 -0.7
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.996 0.991 0.988 0.991
incomp 0.967 0.990 0.994 0.994 0.994
DMC Parameters:
amp:20.0 tau:150 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 421 90 0.28 501 129 0.0
incomp 484 103 2.30 419 78 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 335.4 354.8 370.5 385.4 400.7 418.2 440.0 471.6 530.2
incomp 371.8 399.2 421.7 443.6 465.9 490.8 519.8 557.6 618.5
mean 353.6 377.0 396.1 414.5 433.3 454.5 479.9 514.6 574.3
effect 36.5 44.3 51.2 58.2 65.2 72.6 79.8 86.0 88.3
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.999 0.998 0.998 0.993
incomp 0.948 0.970 0.983 0.989 0.994
Data set 1: | cost: 40.931
Data set 1: | cost: 40.925
Data set 1: | cost: 38.056
Data set 1: | cost: 29.284
Data set 1: | cost: 54.578
Data set 1: | cost: 59.980
Data set 1: | cost: 36.543
Data set 1: | cost: 41.813
Data set 1: | cost: 37.080
Data set 1: | cost: 36.432
Data set 1: | cost: 34.581
Data set 1: | cost: 25.045
Data set 1: | cost: 21.535
Data set 1: | cost: 25.162
Data set 1: | cost: 30.034
Data set 1: | cost: 27.887
Data set 1: | cost: 27.962
Data set 1: | cost: 24.317
Data set 1: | cost: 25.919
Data set 1: | cost: 20.946
Data set 1: | cost: 24.334
DMC Parameters:
amp:20.9 tau:145 drc:0.52 bnds:61 bndsRate:0.00 bndsSaturation:0 resMean:294 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 382 76 2.10 338 60 0.0
incomp 433 98 8.30 374 69 0.0
Delta Values (Correct):
5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0%
comp 286.4 305.3 316.2 325.0 333.5 340.0 347.4 354.7 361.0 367.6 374.1 381.5 391.6 400.4 413.6 431.0 451.0 477.9 523.3
incomp 306.5 322.3 337.6 353.1 365.0 375.7 385.0 394.3 405.7 417.4 428.0 439.8 454.9 466.0 481.2 501.7 521.6 560.4 618.2
mean 296.4 313.8 326.9 339.0 349.2 357.9 366.2 374.5 383.4 392.5 401.0 410.6 423.2 433.2 447.4 466.3 486.3 519.1 570.7
effect 20.1 17.0 21.4 28.1 31.5 35.7 37.6 39.6 44.7 49.7 53.9 58.2 63.3 65.6 67.6 70.7 70.5 82.6 94.9
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.945 0.995 0.980 0.985 0.990
incomp 0.830 0.885 0.935 0.950 0.985
Data set 1: | cost: 48.739
Data set 1: | cost: 55.051
Data set 1: | cost: 49.880
Data set 1: | cost: 43.481
Data set 1: | cost: 62.101
Data set 1: | cost: 70.617
Data set 1: | cost: 50.840
Data set 1: | cost: 56.381
Data set 1: | cost: 50.718
Data set 1: | cost: 38.757
Data set 1: | cost: 42.517
Data set 1: | cost: 35.401
Data set 1: | cost: 29.021
Data set 1: | cost: 30.813
Data set 1: | cost: 38.179
Data set 1: | cost: 34.648
Data set 1: | cost: 38.939
Data set 1: | cost: 30.621
Data set 1: | cost: 32.051
Data set 1: | cost: 34.828
Data set 1: | cost: 31.972
DMC Parameters:
amp:20.9 tau:209 drc:0.52 bnds:61 bndsRate:0.00 bndsSaturation:0 resMean:289 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 381 80 1.50 333 97 0.0
incomp 422 96 8.30 369 67 0.0
Delta Values (Correct):
5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0%
comp 285.4 298.9 308.8 316.2 324.9 332.5 342.0 348.4 356.0 367.6 375.9 385.0 396.1 407.2 421.5 436.0 454.4 479.8 525.5
incomp 298.8 313.9 327.8 338.5 350.1 361.3 372.2 383.6 394.2 405.8 417.1 430.3 446.9 461.8 480.5 496.4 518.2 555.2 601.9
mean 292.1 306.4 318.3 327.3 337.5 346.9 357.1 366.0 375.1 386.7 396.5 407.7 421.5 434.5 451.0 466.2 486.3 517.5 563.7
effect 13.3 15.0 19.0 22.3 25.2 28.8 30.2 35.1 38.2 38.2 41.2 45.4 50.8 54.6 58.9 60.4 63.8 75.4 76.4
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.955 0.995 0.985 0.995 0.995
incomp 0.855 0.860 0.940 0.950 0.980
Data set 1: | cost: 0.094
Data set 1: | cost: 0.099
Data set 1: | cost: 0.121
Data set 1: | cost: 0.267
Data set 1: | cost: 0.440
Data set 1: | cost: 0.097
Data set 1: | cost: 0.108
Data set 1: | cost: 0.362
Data set 1: | cost: 0.169
Data set 1: | cost: 0.090
Data set 1: | cost: 0.250
Data set 1: | cost: 0.103
Data set 1: | cost: 0.070
Data set 1: | cost: 0.117
Data set 1: | cost: 0.089
Data set 1: | cost: 0.070
Data set 1: | cost: 0.118
Data set 1: | cost: 0.074
Data set 1: | cost: 0.067
Data set 1: | cost: 0.064
Data set 1: | cost: 0.077
DMC Parameters:
amp:19.9 tau:40 drc:0.60 bnds:71 bndsRate:0.00 bndsSaturation:0 resMean:301 resSD:32 aaShape:2.5 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 391 83 0.90 440 172 0.0
incomp 431 79 5.80 347 44 0.0
Delta Values (Correct):
5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0%
comp 289.9 305.8 318.7 328.0 334.4 342.0 349.5 358.2 366.1 373.2 382.1 390.7 402.0 413.4 425.3 440.8 464.4 494.2 560.3
incomp 323.2 343.2 356.9 367.4 378.1 385.6 393.6 400.9 408.0 416.8 428.3 439.8 447.6 460.9 474.2 490.0 506.2 531.9 581.1
mean 306.6 324.5 337.8 347.7 356.2 363.8 371.6 379.5 387.1 395.0 405.2 415.2 424.8 437.2 449.8 465.4 485.3 513.0 570.7
effect 33.3 37.4 38.3 39.4 43.7 43.6 44.1 42.7 41.8 43.5 46.2 49.2 45.6 47.4 48.9 49.2 41.8 37.7 20.8
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.985 1.000 0.995 0.995 0.980
incomp 0.810 0.930 0.985 0.990 0.995
terminate called after throwing an instance of 'std::out_of_range'
what(): map::at
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 106 0.64 472 95 0.0
incomp 458 94 1.29 406 92 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.3 354.7 374.8 394.8 417.0 442.4 472.8 513.0 577.7
incomp 363.0 385.4 403.1 420.0 437.9 457.7 482.7 517.3 577.9
mean 347.2 370.1 388.9 407.4 427.4 450.0 477.7 515.2 577.8
effect 31.7 30.7 28.3 25.2 20.8 15.4 9.9 4.3 0.2
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.996 0.992 0.989 0.992
incomp 0.966 0.991 0.992 0.993 0.993
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 105 0.67 468 83 0.0
incomp 459 95 1.28 411 99 0.0
Delta Values (Correct):
10.0% 30.0% 50.0% 70.0% 90.0%
comp 331.6 374.9 416.8 472.1 577.4
incomp 363.8 403.5 438.5 483.8 579.6
mean 347.7 389.2 427.6 478.0 578.5
effect 32.2 28.7 21.6 11.8 2.1
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.995 0.991 0.991 0.991
incomp 0.968 0.989 0.993 0.994 0.993
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 105 0.67 479 103 0.0
incomp 458 95 1.34 406 103 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.4 354.5 374.3 394.4 416.9 442.2 472.4 513.0 577.4
incomp 363.9 386.0 403.6 420.5 438.2 458.5 483.5 518.6 578.4
mean 347.6 370.2 389.0 407.5 427.5 450.3 478.0 515.8 577.9
effect 32.5 31.4 29.3 26.1 21.3 16.3 11.0 5.6 1.0
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.996 0.992 0.990 0.990
incomp 0.965 0.988 0.993 0.994 0.993
Data set 1: | cost: 46.331
Data set 1: | cost: 42.514
Data set 1: | cost: 40.051
Data set 1: | cost: 33.260
Data set 1: | cost: 53.729
Data set 1: | cost: 61.090
Data set 1: | cost: 40.875
Data set 1: | cost: 39.401
Data set 1: | cost: 42.708
Data set 1: | cost: 31.851
Data set 1: | cost: 40.995
Data set 1: | cost: 28.199
Data set 1: | cost: 28.014
Data set 1: | cost: 27.959
Data set 1: | cost: 26.839
Data set 1: | cost: 25.716
Data set 1: | cost: 29.980
Data set 1: | cost: 33.268
Data set 1: | cost: 29.924
Data set 1: | cost: 28.161
Data set 1: | cost: 26.752
Data set 1: | cost: 32.419
Data set 1: | cost: 24.906
Data set 1: | cost: 31.820
Data set 1: | cost: 31.183
Data set 1: | cost: 35.044
Data set 1: | cost: 22.119
Data set 1: | cost: 20.062
Data set 1: | cost: 17.294
Data set 1: | cost: 28.156
Data set 1: | cost: 18.656
Data set 1: | cost: 22.428
Data set 1: | cost: 21.092
Data set 1: | cost: 30.391
Data set 1: | cost: 23.982
Data set 1: | cost: 21.197
Data set 1: | cost: 28.636
Data set 1: | cost: 18.723
Data set 1: | cost: 21.572
Data set 1: | cost: 19.158
Data set 1: | cost: 17.540
Data set 1: | cost: 17.731
Data set 1: | cost: 17.033
Data set 1: | cost: 18.646
Data set 1: | cost: 17.290
Data set 1: | cost: 19.045
Data set 1: | cost: 18.228
Data set 1: | cost: 18.709
Data set 1: | cost: 17.163
Data set 1: | cost: 13.599
Data set 1: | cost: 13.085
Data set 1: | cost: 17.024
Data set 1: | cost: 15.737
Data set 1: | cost: 16.089
Data set 1: | cost: 16.995
Data set 1: | cost: 11.532
Data set 1: | cost: 17.464
Data set 1: | cost: 15.366
Data set 1: | cost: 15.988
Data set 1: | cost: 18.839
Data set 1: | cost: 15.942
Data set 1: | cost: 18.486
Data set 1: | cost: 12.916
Data set 1: | cost: 13.226
Data set 1: | cost: 14.811
Data set 1: | cost: 13.917
Data set 1: | cost: 15.469
Data set 1: | cost: 13.505
Data set 1: | cost: 15.392
Data set 1: | cost: 15.464
Data set 1: | cost: 7.198
Data set 1: | cost: 14.441
Data set 1: | cost: 20.346
Data set 1: | cost: 17.213
Data set 1: | cost: 10.513
Data set 1: | cost: 17.715
Data set 1: | cost: 16.193
Data set 1: | cost: 14.202
Data set 1: | cost: 19.096
Data set 1: | cost: 17.622
Data set 1: | cost: 13.469
Data set 1: | cost: 16.878
Data set 1: | cost: 13.334
Data set 1: | cost: 20.535
Data set 1: | cost: 18.986
Data set 1: | cost: 13.534
Data set 1: | cost: 11.617
Data set 1: | cost: 14.037
Data set 1: | cost: 11.215
Data set 1: | cost: 15.097
Data set 1: | cost: 17.580
Data set 1: | cost: 17.169
Data set 1: | cost: 19.190
Data set 1: | cost: 18.177
Data set 1: | cost: 13.181
Data set 1: | cost: 19.428
Data set 1: | cost: 18.309
Data set 1: | cost: 12.872
Data set 1: | cost: 14.180
Data set 1: | cost: 15.430
Data set 1: | cost: 12.520
Data set 1: | cost: 13.929
Data set 1: | cost: 15.138
Data set 1: | cost: 10.501
Data set 1: | cost: 12.289
Data set 1: | cost: 17.859
Data set 1: | cost: 13.557
Data set 1: | cost: 15.137
Data set 1: | cost: 13.625
Data set 1: | cost: 13.319
Data set 1: | cost: 14.636
Data set 1: | cost: 11.892
Data set 1: | cost: 16.798
Data set 1: | cost: 16.501
Data set 1: | cost: 12.549
Data set 1: | cost: 10.811
Data set 1: | cost: 10.753
Data set 1: | cost: 13.177
Data set 1: | cost: 16.336
Data set 1: | cost: 18.971
Data set 1: | cost: 16.342
Data set 1: | cost: 12.768
Data set 1: | cost: 14.604
Data set 1: | cost: 12.792
Data set 1: | cost: 12.106
Data set 1: | cost: 15.356
Data set 1: | cost: 12.400
Data set 1: | cost: 10.299
Data set 1: | cost: 12.316
Data set 1: | cost: 11.662
Data set 1: | cost: 11.038
Data set 1: | cost: 11.735
Data set 1: | cost: 14.366
Data set 1: | cost: 14.913
Data set 1: | cost: 12.584
Data set 1: | cost: 11.882
Data set 1: | cost: 13.407
Data set 1: | cost: 17.882
Data set 1: | cost: 15.937
Data set 1: | cost: 17.132
Data set 1: | cost: 11.113
Data set 1: | cost: 13.119
Data set 1: | cost: 16.306
Data set 1: | cost: 19.139
Data set 1: | cost: 15.292
Data set 1: | cost: 10.640
Data set 1: | cost: 18.072
Data set 1: | cost: 15.325
Data set 1: | cost: 14.104
Data set 1: | cost: 16.536
Data set 1: | cost: 12.340
Data set 1: | cost: 15.811
Data set 1: | cost: 16.821
Data set 1: | cost: 13.994
Data set 1: | cost: 15.936
Data set 1: | cost: 15.589
Data set 1: | cost: 12.569
Data set 1: | cost: 14.508
Data set 1: | cost: 11.306
Data set 1: | cost: 12.077
Data set 1: | cost: 14.955
Data set 1: | cost: 11.415
Data set 1: | cost: 14.620
Data set 1: | cost: 12.190
Data set 1: | cost: 12.361
Data set 1: | cost: 11.395
Data set 1: | cost: 14.092
Data set 1: | cost: 12.780
Data set 1: | cost: 13.330
Data set 1: | cost: 11.617
Data set 1: | cost: 12.826
Data set 1: | cost: 13.263
Data set 1: | cost: 14.099
Data set 1: | cost: 12.446
Data set 1: | cost: 15.075
Data set 1: | cost: 15.804
Data set 1: | cost: 15.401
Data set 1: | cost: 12.447
Data set 1: | cost: 16.911
Data set 1: | cost: 13.707
Data set 1: | cost: 12.306
Data set 1: | cost: 17.687
Data set 1: | cost: 16.657
Data set 1: | cost: 22.138
Data set 1: | cost: 15.363
Data set 1: | cost: 16.138
Data set 1: | cost: 20.472
Data set 1: | cost: 10.871
Data set 1: | cost: 15.230
Data set 1: | cost: 14.661
Data set 1: | cost: 11.376
Data set 1: | cost: 12.607
Data set 1: | cost: 9.178
Data set 1: | cost: 12.240
Data set 1: | cost: 13.788
Data set 1: | cost: 14.666
Data set 1: | cost: 13.419
Data set 1: | cost: 16.055
Data set 1: | cost: 16.316
Data set 1: | cost: 11.086
Data set 1: | cost: 15.415
Data set 1: | cost: 12.749
Data set 1: | cost: 11.284
Data set 1: | cost: 15.746
Data set 1: | cost: 13.576
Data set 1: | cost: 13.137
Data set 1: | cost: 13.066
Data set 1: | cost: 16.046
Data set 1: | cost: 16.360
Data set 1: | cost: 12.792
Data set 1: | cost: 12.740
Data set 1: | cost: 13.639
Data set 1: | cost: 15.237
Data set 1: | cost: 15.128
Data set 1: | cost: 16.713
Data set 1: | cost: 11.949
Data set 1: | cost: 15.607
Data set 1: | cost: 15.197
Data set 1: | cost: 9.887
Data set 1: | cost: 12.311
Data set 1: | cost: 15.653
Data set 1: | cost: 11.701
Data set 1: | cost: 13.129
Data set 1: | cost: 15.803
Data set 1: | cost: 14.391
Data set 1: | cost: 17.287
Data set 1: | cost: 10.613
Data set 1: | cost: 11.790
Data set 1: | cost: 11.785
Data set 1: | cost: 17.843
Data set 1: | cost: 15.772
Data set 1: | cost: 12.950
Data set 1: | cost: 17.034
Data set 1: | cost: 10.992
Data set 1: | cost: 11.577
Data set 1: | cost: 15.772
Data set 1: | cost: 15.197
Data set 1: | cost: 10.785
Data set 1: | cost: 15.098
Data set 1: | cost: 15.942
Data set 1: | cost: 15.311
Data set 1: | cost: 13.338
Data set 1: | cost: 15.852
Data set 1: | cost: 12.351
Data set 1: | cost: 11.838
Data set 1: | cost: 9.376
Data set 1: | cost: 16.169
Data set 1: | cost: 11.388
Data set 1: | cost: 15.795
Data set 1: | cost: 12.455
Data set 1: | cost: 13.684
Data set 1: | cost: 18.662
Data set 1: | cost: 12.380
Data set 1: | cost: 15.154
Data set 1: | cost: 14.077
Data set 1: | cost: 11.876
Data set 1: | cost: 12.059
Data set 1: | cost: 11.941
Data set 1: | cost: 14.842
Data set 1: | cost: 17.492
Data set 1: | cost: 12.963
Data set 1: | cost: 13.481
Data set 1: | cost: 13.346
Data set 1: | cost: 11.678
Data set 1: | cost: 14.874
Data set 1: | cost: 11.665
Data set 1: | cost: 18.405
Data set 1: | cost: 15.261
Data set 1: | cost: 16.628
Data set 1: | cost: 14.679
Data set 1: | cost: 13.524
Data set 1: | cost: 12.769
Data set 1: | cost: 11.196
Data set 1: | cost: 16.912
Data set 1: | cost: 18.120
Data set 1: | cost: 13.808
Data set 1: | cost: 15.181
Data set 1: | cost: 13.586
Data set 1: | cost: 18.716
Data set 1: | cost: 14.356
Data set 1: | cost: 13.065
Data set 1: | cost: 9.982
Data set 1: | cost: 12.430
Data set 1: | cost: 12.670
Data set 1: | cost: 12.989
Data set 1: | cost: 14.993
Data set 1: | cost: 14.390
Data set 1: | cost: 16.782
Data set 1: | cost: 13.744
Data set 1: | cost: 14.232
Data set 1: | cost: 12.968
Data set 1: | cost: 15.884
Data set 1: | cost: 14.095
Data set 1: | cost: 11.152
Data set 1: | cost: 12.518
Data set 1: | cost: 14.475
Data set 1: | cost: 15.297
Data set 1: | cost: 16.317
Data set 1: | cost: 12.831
Data set 1: | cost: 13.527
Data set 1: | cost: 12.927
Data set 1: | cost: 7.790
Data set 1: | cost: 12.760
Data set 1: | cost: 14.672
Data set 1: | cost: 14.457
Data set 1: | cost: 13.540
Data set 1: | cost: 12.110
Data set 1: | cost: 13.439
Data set 1: | cost: 14.036
Data set 1: | cost: 12.886
Data set 1: | cost: 14.105
Data set 1: | cost: 14.202
Data set 1: | cost: 14.998
Data set 1: | cost: 14.628
Data set 1: | cost: 8.901
Data set 1: | cost: 15.880
Data set 1: | cost: 15.861
Data set 1: | cost: 11.731
Data set 1: | cost: 12.240
Data set 1: | cost: 14.604
Data set 1: | cost: 10.492
Data set 1: | cost: 14.985
Data set 1: | cost: 14.424
Data set 1: | cost: 15.655
Data set 1: | cost: 14.333
Data set 1: | cost: 12.357
Data set 1: | cost: 13.948
Data set 1: | cost: 12.885
Data set 1: | cost: 15.128
Data set 1: | cost: 11.690
Data set 1: | cost: 11.670
Data set 1: | cost: 13.922
Data set 1: | cost: 12.566
Data set 1: | cost: 15.876
Data set 1: | cost: 10.929
Data set 1: | cost: 17.315
Data set 1: | cost: 15.035
Data set 1: | cost: 14.463
Data set 1: | cost: 10.789
Data set 1: | cost: 16.930
Data set 1: | cost: 12.126
Data set 1: | cost: 13.490
Data set 1: | cost: 21.203
Data set 1: | cost: 10.552
Data set 1: | cost: 14.614
Data set 1: | cost: 14.460
Data set 1: | cost: 14.431
Data set 1: | cost: 8.915
Data set 1: | cost: 16.511
Data set 1: | cost: 13.643
Data set 1: | cost: 19.698
Data set 1: | cost: 13.541
Data set 1: | cost: 17.582
Data set 1: | cost: 13.347
Data set 1: | cost: 17.525
Data set 1: | cost: 12.269
Data set 1: | cost: 8.286
Data set 1: | cost: 15.478
Data set 1: | cost: 13.809
Data set 1: | cost: 17.063
Data set 1: | cost: 15.441
Data set 1: | cost: 16.679
Data set 1: | cost: 14.437
Data set 1: | cost: 14.447
Data set 1: | cost: 13.799
Data set 1: | cost: 13.866
Data set 1: | cost: 17.522
Data set 1: | cost: 19.483
Data set 1: | cost: 14.533
Data set 1: | cost: 17.060
Data set 1: | cost: 14.021
Data set 1: | cost: 12.937
Data set 1: | cost: 11.398
Data set 1: | cost: 16.113
Data set 1: | cost: 16.510
Data set 1: | cost: 14.369
Data set 1: | cost: 16.272
Data set 1: | cost: 14.569
Data set 1: | cost: 13.434
Data set 1: | cost: 14.030
Data set 1: | cost: 13.417
Data set 1: | cost: 14.730
Data set 1: | cost: 12.334
Data set 1: | cost: 14.030
Data set 1: | cost: 14.334
Data set 1: | cost: 14.728
Data set 1: | cost: 12.964
Data set 1: | cost: 15.109
Data set 1: | cost: 18.957
Data set 1: | cost: 13.876
Data set 1: | cost: 14.631
Data set 1: | cost: 12.130
Data set 1: | cost: 14.370
Data set 1: | cost: 11.922
Data set 1: | cost: 14.252
Data set 1: | cost: 14.462
Data set 1: | cost: 11.484
Data set 1: | cost: 19.406
Data set 1: | cost: 15.898
Data set 1: | cost: 16.851
Data set 1: | cost: 18.284
Data set 1: | cost: 13.822
Data set 1: | cost: 15.861
Data set 1: | cost: 15.215
Data set 1: | cost: 12.180
Data set 1: | cost: 12.634
Data set 1: | cost: 13.879
Data set 1: | cost: 15.450
Data set 1: | cost: 13.953
Data set 1: | cost: 11.738
Data set 1: | cost: 11.333
Data set 1: | cost: 17.467
Data set 1: | cost: 15.640
Data set 1: | cost: 16.346
Data set 1: | cost: 14.080
Data set 1: | cost: 17.480
Data set 1: | cost: 10.714
Data set 1: | cost: 12.457
Data set 1: | cost: 18.069
Data set 1: | cost: 12.002
Data set 1: | cost: 15.748
Data set 1: | cost: 16.608
Data set 1: | cost: 16.242
Data set 1: | cost: 13.580
Data set 1: | cost: 17.855
Data set 1: | cost: 11.967
Data set 1: | cost: 12.096
Data set 1: | cost: 14.286
Data set 1: | cost: 10.366
Data set 1: | cost: 16.635
Data set 1: | cost: 18.403
Data set 1: | cost: 16.821
Data set 1: | cost: 12.746
Data set 1: | cost: 15.914
Data set 1: | cost: 18.017
Data set 1: | cost: 12.570
Data set 1: | cost: 12.779
Data set 1: | cost: 13.241
Data set 1: | cost: 14.763
Data set 1: | cost: 14.200
Data set 1: | cost: 14.346
Data set 1: | cost: 16.168
Data set 1: | cost: 13.132
Data set 1: | cost: 17.220
Data set 1: | cost: 15.640
Data set 1: | cost: 18.580
Data set 1: | cost: 11.840
Data set 1: | cost: 14.494
Data set 1: | cost: 13.956
Data set 1: | cost: 13.252
Data set 1: | cost: 15.692
Data set 1: | cost: 12.946
Data set 1: | cost: 17.688
Data set 1: | cost: 17.008
Data set 1: | cost: 15.894
Data set 1: | cost: 19.012
Data set 1: | cost: 15.351
Data set 1: | cost: 13.995
Data set 1: | cost: 14.000
Data set 1: | cost: 10.901
Data set 1: | cost: 10.497
Data set 1: | cost: 16.352
Data set 1: | cost: 12.659
Data set 1: | cost: 12.967
Data set 1: | cost: 15.484
Data set 1: | cost: 16.084
Data set 1: | cost: 13.119
Data set 1: | cost: 17.735
Data set 1: | cost: 13.170
Data set 1: | cost: 8.647
Data set 1: | cost: 14.173
Data set 1: | cost: 14.148
Data set 1: | cost: 11.645
Data set 1: | cost: 15.107
Data set 1: | cost: 14.683
Data set 1: | cost: 13.585
Data set 1: | cost: 16.963
Data set 1: | cost: 15.543
Data set 1: | cost: 15.086
Data set 1: | cost: 11.230
Data set 1: | cost: 13.509
Data set 1: | cost: 15.263
Data set 1: | cost: 11.728
Data set 1: | cost: 16.191
Data set 1: | cost: 11.971
Data set 1: | cost: 12.754
Data set 1: | cost: 12.452
Data set 1: | cost: 16.879
Data set 1: | cost: 12.058
Data set 1: | cost: 15.897
Data set 1: | cost: 12.567
Data set 1: | cost: 15.544
Data set 1: | cost: 13.951
Data set 1: | cost: 14.663
Data set 1: | cost: 12.335
Data set 1: | cost: 11.670
Data set 1: | cost: 15.956
Data set 1: | cost: 13.704
Data set 1: | cost: 13.486
Data set 1: | cost: 12.433
Data set 1: | cost: 14.963
Data set 1: | cost: 9.952
Data set 1: | cost: 15.757
DMC Parameters:
amp:20.3 tau:184 drc:0.58 bnds:54 bndsRate:0.00 bndsSaturation:0 resMean:327 resSD:32 aaShape:2.2 spShape:2.9 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 401 61 1.80 365 48 0.0
incomp 433 79 8.60 394 59 0.0
Delta Values (Correct):
5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0%
comp 317.6 334.9 342.1 350.3 357.5 365.6 373.3 380.1 386.8 391.7 399.0 407.4 414.9 423.4 434.3 444.8 458.8 478.8 504.5
incomp 327.3 346.9 358.2 371.1 379.9 387.0 393.9 402.7 411.3 419.9 429.6 442.7 451.3 461.3 475.2 490.0 512.6 531.2 579.0
mean 322.5 340.9 350.2 360.7 368.7 376.3 383.6 391.4 399.0 405.8 414.3 425.1 433.1 442.4 454.7 467.4 485.7 505.0 541.8
effect 9.7 12.0 16.1 20.8 22.4 21.4 20.6 22.6 24.5 28.2 30.6 35.3 36.4 37.9 40.9 45.1 53.8 52.4 74.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.970 0.970 0.980 1.000 0.990
incomp 0.845 0.915 0.895 0.940 0.975
Data set 1: | cost: 47.384
Data set 1: | cost: 46.156
Data set 1: | cost: 44.498
Data set 1: | cost: 38.330
Data set 1: | cost: 59.308
Data set 1: | cost: 62.938
Data set 1: | cost: 48.080
Data set 1: | cost: 45.411
Data set 1: | cost: 49.082
Data set 1: | cost: 36.332
Data set 1: | cost: 41.585
Data set 1: | cost: 29.921
Data set 1: | cost: 29.893
Data set 1: | cost: 33.490
Data set 1: | cost: 36.893
Data set 1: | cost: 28.417
Data set 1: | cost: 25.226
Data set 1: | cost: 26.927
Data set 1: | cost: 29.768
Data set 1: | cost: 29.456
Data set 1: | cost: 25.234
Data set 1: | cost: 31.611
Data set 1: | cost: 27.297
Data set 1: | cost: 33.824
Data set 1: | cost: 26.214
Data set 1: | cost: 35.840
Data set 1: | cost: 28.161
Data set 1: | cost: 28.244
Data set 1: | cost: 26.674
Data set 1: | cost: 32.077
Data set 1: | cost: 28.947
Data set 1: | cost: 31.303
Data set 1: | cost: 27.279
Data set 1: | cost: 23.432
Data set 1: | cost: 28.123
Data set 1: | cost: 24.399
Data set 1: | cost: 25.297
Data set 1: | cost: 22.586
Data set 1: | cost: 29.164
Data set 1: | cost: 25.207
Data set 1: | cost: 25.433
Data set 1: | cost: 23.984
Data set 1: | cost: 26.883
Data set 1: | cost: 33.225
Data set 1: | cost: 24.170
Data set 1: | cost: 26.974
Data set 1: | cost: 24.341
Data set 1: | cost: 26.258
Data set 1: | cost: 27.711
Data set 1: | cost: 28.327
Data set 1: | cost: 24.590
Data set 1: | cost: 30.477
Data set 1: | cost: 29.458
Data set 1: | cost: 27.417
Data set 1: | cost: 25.910
Data set 1: | cost: 28.150
Data set 1: | cost: 25.437
Data set 1: | cost: 23.083
Data set 1: | cost: 24.567
Data set 1: | cost: 29.014
Data set 1: | cost: 22.991
Data set 1: | cost: 28.246
Data set 1: | cost: 24.778
Data set 1: | cost: 31.450
Data set 1: | cost: 30.632
Data set 1: | cost: 24.797
Data set 1: | cost: 26.380
Data set 1: | cost: 24.569
Data set 1: | cost: 26.196
Data set 1: | cost: 23.879
Data set 1: | cost: 28.782
Data set 1: | cost: 27.140
Data set 1: | cost: 23.514
Data set 1: | cost: 30.561
Data set 1: | cost: 28.434
Data set 1: | cost: 27.143
Data set 1: | cost: 26.753
Data set 1: | cost: 24.249
Data set 1: | cost: 26.152
Data set 1: | cost: 25.785
Data set 1: | cost: 31.988
Data set 1: | cost: 27.243
Data set 1: | cost: 26.526
Data set 1: | cost: 25.626
Data set 1: | cost: 22.876
Data set 1: | cost: 28.321
Data set 1: | cost: 28.901
Data set 1: | cost: 28.003
Data set 1: | cost: 25.689
Data set 1: | cost: 25.324
Data set 1: | cost: 23.324
Data set 1: | cost: 24.449
Data set 1: | cost: 25.891
Data set 1: | cost: 31.008
Data set 1: | cost: 28.849
Data set 1: | cost: 26.745
Data set 1: | cost: 25.188
Data set 1: | cost: 29.765
Data set 1: | cost: 26.213
Data set 1: | cost: 30.030
Data set 1: | cost: 24.470
Data set 1: | cost: 31.512
Data set 1: | cost: 25.026
Data set 1: | cost: 30.069
Data set 1: | cost: 25.636
Data set 1: | cost: 25.047
Data set 1: | cost: 25.353
Data set 1: | cost: 24.688
Data set 1: | cost: 23.882
Data set 1: | cost: 28.079
Data set 1: | cost: 28.455
Data set 1: | cost: 26.656
Data set 1: | cost: 24.994
Data set 1: | cost: 26.423
Data set 1: | cost: 26.540
Data set 1: | cost: 28.710
Data set 1: | cost: 27.160
Data set 1: | cost: 28.119
Data set 1: | cost: 27.054
Data set 1: | cost: 27.265
Data set 1: | cost: 26.331
Data set 1: | cost: 29.127
Data set 1: | cost: 23.891
Data set 1: | cost: 26.503
Data set 1: | cost: 27.524
Data set 1: | cost: 22.344
Data set 1: | cost: 31.374
Data set 1: | cost: 25.741
Data set 1: | cost: 24.121
Data set 1: | cost: 27.747
Data set 1: | cost: 25.348
Data set 1: | cost: 26.280
Data set 1: | cost: 27.521
Data set 1: | cost: 26.848
Data set 1: | cost: 24.995
Data set 1: | cost: 25.242
Data set 1: | cost: 30.685
Data set 1: | cost: 24.487
Data set 1: | cost: 25.792
Data set 1: | cost: 23.925
Data set 1: | cost: 30.790
Data set 1: | cost: 27.220
Data set 1: | cost: 25.890
Data set 1: | cost: 24.098
Data set 1: | cost: 24.420
Data set 1: | cost: 26.717
Data set 1: | cost: 25.618
Data set 1: | cost: 24.648
Data set 1: | cost: 26.645
Data set 1: | cost: 22.303
Data set 1: | cost: 26.174
Data set 1: | cost: 26.139
Data set 1: | cost: 29.416
Data set 1: | cost: 26.213
Data set 1: | cost: 27.701
Data set 1: | cost: 27.113
Data set 1: | cost: 29.093
Data set 1: | cost: 26.725
Data set 1: | cost: 28.313
Data set 1: | cost: 25.133
Data set 1: | cost: 25.048
Data set 1: | cost: 27.759
Data set 1: | cost: 24.263
Data set 1: | cost: 25.458
Data set 1: | cost: 26.917
Data set 1: | cost: 24.300
Data set 1: | cost: 26.693
Data set 1: | cost: 26.276
Data set 1: | cost: 23.777
Data set 1: | cost: 24.189
Data set 1: | cost: 27.290
Data set 1: | cost: 27.174
Data set 1: | cost: 26.130
Data set 1: | cost: 30.791
Data set 1: | cost: 23.935
Data set 1: | cost: 26.582
Data set 1: | cost: 29.046
Data set 1: | cost: 27.086
Data set 1: | cost: 26.420
Data set 1: | cost: 25.764
Data set 1: | cost: 24.431
Data set 1: | cost: 25.736
Data set 1: | cost: 26.350
Data set 1: | cost: 25.223
Data set 1: | cost: 27.048
Data set 1: | cost: 26.923
Data set 1: | cost: 25.440
Data set 1: | cost: 29.092
Data set 1: | cost: 29.327
Data set 1: | cost: 28.833
Data set 1: | cost: 26.153
Data set 1: | cost: 23.266
Data set 1: | cost: 29.212
Data set 1: | cost: 26.876
Data set 1: | cost: 25.458
Data set 1: | cost: 25.754
Data set 1: | cost: 26.816
Data set 1: | cost: 27.467
Data set 1: | cost: 31.060
Data set 1: | cost: 23.081
Data set 1: | cost: 27.039
Data set 1: | cost: 28.779
Data set 1: | cost: 29.511
Data set 1: | cost: 25.676
Data set 1: | cost: 26.406
Data set 1: | cost: 27.709
Data set 1: | cost: 25.223
Data set 1: | cost: 24.681
Data set 1: | cost: 27.481
Data set 1: | cost: 26.218
Data set 1: | cost: 27.055
Data set 1: | cost: 28.614
Data set 1: | cost: 31.597
Data set 1: | cost: 28.372
Data set 1: | cost: 27.664
Data set 1: | cost: 35.119
Data set 1: | cost: 24.346
Data set 1: | cost: 27.457
Data set 1: | cost: 22.487
Data set 1: | cost: 26.452
Data set 1: | cost: 26.098
Data set 1: | cost: 26.442
Data set 1: | cost: 27.025
Data set 1: | cost: 26.611
Data set 1: | cost: 29.339
Data set 1: | cost: 27.283
Data set 1: | cost: 27.251
Data set 1: | cost: 26.630
Data set 1: | cost: 26.649
Data set 1: | cost: 22.865
Data set 1: | cost: 26.504
Data set 1: | cost: 25.982
Data set 1: | cost: 28.060
Data set 1: | cost: 28.454
Data set 1: | cost: 26.606
Data set 1: | cost: 26.927
Data set 1: | cost: 24.184
Data set 1: | cost: 25.537
Data set 1: | cost: 25.176
Data set 1: | cost: 28.693
Data set 1: | cost: 27.938
Data set 1: | cost: 28.567
Data set 1: | cost: 27.730
Data set 1: | cost: 27.143
Data set 1: | cost: 26.590
Data set 1: | cost: 26.045
Data set 1: | cost: 29.708
Data set 1: | cost: 23.981
Data set 1: | cost: 26.800
Data set 1: | cost: 25.708
Data set 1: | cost: 25.996
Data set 1: | cost: 24.315
Data set 1: | cost: 21.193
Data set 1: | cost: 24.337
Data set 1: | cost: 28.425
Data set 1: | cost: 25.705
Data set 1: | cost: 26.546
Data set 1: | cost: 25.114
Data set 1: | cost: 28.399
Data set 1: | cost: 27.857
Data set 1: | cost: 27.682
Data set 1: | cost: 25.246
Data set 1: | cost: 27.654
Data set 1: | cost: 28.202
Data set 1: | cost: 29.491
Data set 1: | cost: 27.851
Data set 1: | cost: 27.222
Data set 1: | cost: 25.061
Data set 1: | cost: 26.875
Data set 1: | cost: 23.488
Data set 1: | cost: 24.929
Data set 1: | cost: 30.568
Data set 1: | cost: 28.039
Data set 1: | cost: 24.908
Data set 1: | cost: 28.680
Data set 1: | cost: 24.694
Data set 1: | cost: 26.311
Data set 1: | cost: 25.512
Data set 1: | cost: 25.515
Data set 1: | cost: 25.757
Data set 1: | cost: 26.774
Data set 1: | cost: 27.289
Data set 1: | cost: 28.175
Data set 1: | cost: 26.897
Data set 1: | cost: 25.811
Data set 1: | cost: 21.854
Data set 1: | cost: 25.843
Data set 1: | cost: 28.597
Data set 1: | cost: 33.869
Data set 1: | cost: 29.620
Data set 1: | cost: 28.163
Data set 1: | cost: 28.039
Data set 1: | cost: 25.324
Data set 1: | cost: 27.067
Data set 1: | cost: 28.415
Data set 1: | cost: 29.093
Data set 1: | cost: 29.424
Data set 1: | cost: 26.311
Data set 1: | cost: 23.934
Data set 1: | cost: 28.812
Data set 1: | cost: 26.130
Data set 1: | cost: 24.963
Data set 1: | cost: 24.482
Data set 1: | cost: 31.238
Data set 1: | cost: 26.383
Data set 1: | cost: 25.974
Data set 1: | cost: 25.780
Data set 1: | cost: 27.234
Data set 1: | cost: 27.708
Data set 1: | cost: 27.544
Data set 1: | cost: 25.119
Data set 1: | cost: 28.627
Data set 1: | cost: 25.013
Data set 1: | cost: 28.886
Data set 1: | cost: 30.130
Data set 1: | cost: 29.047
Data set 1: | cost: 29.343
Data set 1: | cost: 23.765
Data set 1: | cost: 28.218
Data set 1: | cost: 26.838
Data set 1: | cost: 26.438
Data set 1: | cost: 27.127
Data set 1: | cost: 25.822
Data set 1: | cost: 26.800
Data set 1: | cost: 25.565
Data set 1: | cost: 26.458
Data set 1: | cost: 27.638
Data set 1: | cost: 28.124
Data set 1:terminate called after throwing an instance of 'std::out_of_range'
what(): map::at
Aborted
Flavor: r-patched-linux-x86_64
Version: 3.5.2
Check: tests
Result: ERROR
Running ‘testthat.R’ [7s/9s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> test_check("DMCfun")
Loading required package: DMCfun
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 439 105 0.65 474 98 0.0
incomp 459 95 1.28 406 89 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.7 354.7 374.3 394.3 416.1 441.4 471.7 511.4 576.8
incomp 363.2 385.8 403.9 420.7 438.5 458.8 483.7 519.2 580.0
mean 347.4 370.3 389.1 407.5 427.3 450.1 477.7 515.3 578.4
effect 31.6 31.2 29.6 26.4 22.4 17.5 12.0 7.8 3.2
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.996 0.992 0.990 0.991
incomp 0.967 0.990 0.993 0.994 0.993
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 105 0.62 470 93 0.0
incomp 459 95 1.22 409 91 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.9 355.3 375.1 395.3 417.5 442.5 472.8 512.8 578.0
incomp 363.8 385.8 403.8 420.7 438.4 458.5 483.5 518.6 579.0
mean 347.9 370.5 389.4 408.0 427.9 450.5 478.2 515.7 578.5
effect 31.9 30.5 28.6 25.5 20.9 16.0 10.8 5.8 1.0
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.996 0.991 0.991 0.992
incomp 0.970 0.991 0.992 0.994 0.992
DMC Parameters:
amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 440 105 0.69 475 100 0.0
incomp 458 95 1.32 407 96 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.9 355.2 374.8 395.0 416.7 442.3 472.6 512.9 577.9
incomp 363.3 385.3 403.1 420.4 438.2 458.4 483.3 518.2 577.6
mean 347.6 370.3 389.0 407.7 427.5 450.4 477.9 515.6 577.7
effect 31.4 30.1 28.3 25.4 21.5 16.1 10.7 5.4 -0.3
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.995 0.992 0.991 0.990
incomp 0.966 0.989 0.993 0.994 0.993
DMC Parameters:
amp:20.0 tau:150 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 421 90 0.28 497 123 0.0
incomp 483 103 2.21 423 82 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 335.2 355.0 370.8 385.7 401.1 418.4 440.5 472.3 529.9
incomp 371.7 398.7 421.5 443.0 465.5 490.2 519.5 557.5 617.3
mean 353.4 376.9 396.1 414.3 433.3 454.3 480.0 514.9 573.6
effect 36.4 43.7 50.7 57.2 64.4 71.7 79.0 85.2 87.4
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.999 0.999 0.997 0.993
incomp 0.951 0.974 0.983 0.989 0.993
Data set 1: | cost: 39.026
Data set 1: | cost: 38.932
Data set 1: | cost: 43.824
Data set 1: | cost: 36.122
Data set 1: | cost: 55.260
Data set 1: | cost: 66.967
Data set 1: | cost: 37.430
Data set 1: | cost: 42.410
Data set 1: | cost: 42.978
Data set 1: | cost: 33.113
Data set 1: | cost: 45.852
Data set 1: | cost: 27.790
Data set 1: | cost: 42.525
Data set 1: | cost: 34.422
Data set 1: | cost: 33.050
Data set 1: | cost: 30.458
Data set 1: | cost: 33.667
Data set 1: | cost: 31.577
Data set 1: | cost: 34.836
Data set 1: | cost: 37.798
Data set 1:terminate called after throwing an instance of 'std::out_of_range'
what(): map::at
Aborted
Flavor: r-release-linux-x86_64
Version: 3.5.2
Check: tests
Result: ERROR
Running ‘testthat.R’ [20s/21s]
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
28: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { })
29: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new())
30: source_file(path, env = env(env), desc = desc, error_call = error_call)
31: FUN(X[[i]], ...)
32: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)
33: doTryCatch(return(expr), name, parentenv, handler)
34: tryCatchOne(expr, names, parentenv, handlers[[1L]])
35: tryCatchList(expr, classes, parentenv, handlers)
36: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL})
37: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call))
38: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call)
39: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel)
40: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed")
41: test_check("DMCfun")
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-release-macos-arm64
Version: 3.5.2
Check: tests
Result: ERROR
Running ‘testthat.R’ [27s/35s]
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
29: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { })
30: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new())
31: source_file(path, env = env(env), desc = desc, error_call = error_call)
32: FUN(X[[i]], ...)
33: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)
34: doTryCatch(return(expr), name, parentenv, handler)
35: tryCatchOne(expr, names, parentenv, handlers[[1L]])
36: tryCatchList(expr, classes, parentenv, handlers)
37: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL})
38: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call))
39: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call)
40: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel)
41: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed")
42: test_check("DMCfun")
An irrecoverable exception occurred. R is aborting now ...
Flavor: r-oldrel-macos-arm64