Last updated on 2026-10-22 23:56:42 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 4.0.1 | 31.39 | 134.44 | 165.83 | OK | |
| r-devel-linux-x86_64-debian-gcc | 4.0.1 | 24.59 | 102.19 | 126.78 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 4.0.1 | 24.00 | 88.20 | 112.20 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 4.0.1 | 26.00 | 87.20 | 113.20 | OK | |
| r-devel-windows-x86_64 | 4.0.1 | 43.00 | 265.00 | 308.00 | OK | |
| r-patched-linux-x86_64 | 4.0.1 | 34.33 | 124.65 | 158.98 | OK | |
| r-release-linux-x86_64 | 4.0.1 | 32.87 | 125.33 | 158.20 | OK | |
| r-release-macos-arm64 | 4.0.1 | 7.00 | 45.00 | 52.00 | OK | |
| r-release-macos-x86_64 | 4.0.1 | 20.00 | 167.00 | 187.00 | OK | |
| r-release-windows-x86_64 | 4.0.1 | 42.00 | 204.00 | 246.00 | OK | |
| r-oldrel-macos-arm64 | 4.0.1 | OK | ||||
| r-oldrel-macos-x86_64 | 4.0.1 | 18.00 | 145.00 | 163.00 | OK | |
| r-oldrel-windows-x86_64 | 4.0.1 | 48.00 | 260.00 | 308.00 | OK |
Version: 4.0.1
Check: tests
Result: ERROR
Running ‘testthat.R’ [44s/115s]
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 440 105 0.70 471 94 0.0
incomp 458 94 1.26 407 97 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 332.1 355.4 375.3 395.3 417.1 442.5 473.4 513.7 579.0
incomp 363.4 385.9 403.4 420.4 438.0 458.0 483.1 518.3 578.8
mean 347.7 370.6 389.3 407.9 427.6 450.2 478.3 516.0 578.9
effect 31.3 30.5 28.1 25.2 20.8 15.5 9.7 4.6 -0.2
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.995 0.991 0.990 0.991
incomp 0.966 0.991 0.993 0.995 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 0.68 476 96 0.0
incomp 458 95 1.35 406 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 331.1 354.3 374.6 395.0 416.8 442.2 472.3 512.5 577.3
incomp 363.5 385.7 403.5 420.5 438.2 458.3 483.7 518.3 579.0
mean 347.3 370.0 389.0 407.7 427.5 450.2 478.0 515.4 578.2
effect 32.4 31.3 28.9 25.5 21.4 16.1 11.4 5.8 1.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.995 0.993 0.990 0.990
incomp 0.966 0.989 0.992 0.993 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 0.63 481 95 0.0
incomp 459 94 1.37 409 98 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.7 354.8 374.7 394.9 416.7 441.8 472.2 512.1 578.9
incomp 364.3 386.5 404.3 421.0 438.6 459.0 484.1 519.2 579.2
mean 348.0 370.7 389.5 407.9 427.7 450.4 478.2 515.7 579.1
effect 32.6 31.7 29.6 26.1 21.9 17.2 12.0 7.1 0.3
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.996 0.993 0.991 0.990
incomp 0.964 0.989 0.993 0.994 0.992
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 91 0.31 510 127 0.0
incomp 484 102 2.14 422 80 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 334.8 355.3 371.0 385.6 401.2 418.6 440.9 472.8 529.9
incomp 371.6 399.4 422.4 444.3 466.7 491.0 519.9 556.7 616.8
mean 353.2 377.4 396.7 414.9 433.9 454.8 480.4 514.8 573.4
effect 36.8 44.2 51.4 58.7 65.5 72.4 79.0 83.8 86.9
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.999 0.998 0.996 0.992
incomp 0.952 0.974 0.983 0.989 0.994
Data set 1: | cost: 43.686
Data set 1: | cost: 41.931
Data set 1: | cost: 42.683
Data set 1: | cost: 31.547
Data set 1: | cost: 52.036
Data set 1: | cost: 61.816
Data set 1: | cost: 39.659
Data set 1: | cost: 43.571
Data set 1: | cost: 40.737
Data set 1: | cost: 35.634
Data set 1: | cost: 31.990
Data set 1: | cost: 26.212
Data set 1: | cost: 18.214
Data set 1: | cost: 30.735
Data set 1: | cost: 34.173
Data set 1: | cost: 26.296
Data set 1: | cost: 33.369
Data set 1: | cost: 25.604
Data set 1: | cost: 29.032
Data set 1: | cost: 28.997
Data set 1: | cost: 24.503
DMC Parameters:
amp:20.9 tau:178 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 383 77 1.70 358 75 0.0
incomp 431 99 8.20 371 79 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 284.5 301.6 313.2 322.1 330.4 338.8 346.1 352.7 360.7 368.4 376.6 387.7 397.2 407.5 418.7 436.7 456.3 481.3 533.5
incomp 304.1 319.4 333.8 348.2 359.6 372.3 386.7 398.2 407.2 419.6 429.2 439.6 453.0 468.7 484.2 499.9 523.9 554.8 608.4
mean 294.3 310.5 323.5 335.1 345.0 355.5 366.4 375.5 383.9 394.0 402.9 413.6 425.1 438.1 451.4 468.3 490.1 518.0 570.9
effect 19.6 17.8 20.6 26.2 29.2 33.5 40.6 45.5 46.5 51.2 52.6 51.9 55.8 61.2 65.5 63.2 67.6 73.5 74.9
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.970 0.985 0.980 0.990 0.990
incomp 0.830 0.860 0.970 0.970 0.960
Data set 1: | cost: 46.208
Data set 1: | cost: 49.268
Data set 1: | cost: 50.554
Data set 1: | cost: 41.251
Data set 1: | cost: 66.715
Data set 1: | cost: 74.639
Data set 1: | cost: 47.563
Data set 1: | cost: 46.393
Data set 1: | cost: 57.958
Data set 1: | cost: 44.042
Data set 1: | cost: 44.539
Data set 1: | cost: 34.686
Data set 1: | cost: 32.837
Data set 1: | cost: 33.381
Data set 1: | cost: 40.382
Data set 1: | cost: 34.747
Data set 1: | cost: 38.063
Data set 1: | cost: 31.799
Data set 1: | cost: 33.937
Data set 1: | cost: 29.997
Data set 1: | cost: 40.154
DMC Parameters:
amp:18.8 tau:202 drc:0.53 bnds:70 bndsRate:0.00 bndsSaturation:0 resMean:284 resSD:32 aaShape:2.1 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 392 84 1.20 338 55 0.0
incomp 437 105 6.10 363 77 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 283.9 300.9 312.7 324.6 335.0 343.7 350.4 360.6 368.9 378.3 388.1 395.4 405.6 417.8 430.3 449.5 473.6 504.3 549.0
incomp 293.6 322.5 333.9 345.5 354.6 370.1 383.7 396.6 412.0 423.3 438.0 448.1 461.5 476.4 496.8 523.3 547.6 582.1 629.3
mean 288.8 311.7 323.3 335.0 344.8 356.9 367.1 378.6 390.4 400.8 413.1 421.7 433.5 447.1 463.6 486.4 510.6 543.2 589.2
effect 9.7 21.6 21.2 20.9 19.6 26.4 33.3 35.9 43.1 45.0 49.9 52.7 55.9 58.6 66.5 73.9 74.0 77.8 80.3
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.975 0.980 0.995 0.990 1.000
incomp 0.855 0.920 0.955 0.975 0.990
Data set 1: | cost: 0.097
Data set 1: | cost: 0.110
Data set 1: | cost: 0.074
Data set 1: | cost: 0.208
Data set 1: | cost: 0.444
Data set 1: | cost: 0.115
Data set 1: | cost: 0.107
Data set 1: | cost: 0.290
Data set 1: | cost: 0.130
Data set 1: | cost: 0.124
Data set 1: | cost: 0.069
Data set 1: | cost: 0.097
Data set 1: | cost: 0.099
Data set 1: | cost: 0.054
Data set 1: | cost: 0.050
Data set 1: | cost: 0.050
Data set 1: | cost: 0.061
Data set 1: | cost: 0.058
Data set 1: | cost: 0.051
Data set 1: | cost: 0.100
Data set 1: | cost: 0.101
DMC Parameters:
amp:21.5 tau:53 drc:0.60 bnds:72 bndsRate:0.00 bndsSaturation:0 resMean:305 resSD:25 aaShape:2.5 spShape:3.2 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 400 82 1.40 386 102 0.0
incomp 443 76 5.80 348 45 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 305.9 317.1 327.2 336.4 343.6 351.8 360.7 366.9 373.8 382.2 389.3 398.4 407.7 417.5 433.9 450.6 473.9 507.5 573.7
incomp 333.7 354.7 368.8 381.9 390.3 398.7 408.1 416.6 425.1 433.5 443.4 452.2 465.1 475.8 489.5 502.9 517.2 533.5 575.7
mean 319.8 335.9 348.0 359.2 367.0 375.2 384.4 391.8 399.4 407.8 416.3 425.3 436.4 446.7 461.7 476.7 495.5 520.5 574.7
effect 27.9 37.6 41.6 45.5 46.7 46.9 47.4 49.7 51.4 51.4 54.1 53.8 57.3 58.3 55.6 52.3 43.4 26.0 2.0
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.975 0.985 0.985 1.000 0.985
incomp 0.765 0.975 0.980 0.995 0.995
Data set 1: | cost: 48.548
Data set 1: | cost: 47.788
Data set 1: | cost: 46.164
Data set 1: | cost: 35.440
Data set 1: | cost: 58.286
Data set 1: | cost: 67.364
Data set 1: | cost: 47.379
Data set 1: | cost: 46.675
Data set 1: | cost: 40.261
Data set 1: | cost: 44.284
Data set 1: | cost: 38.541
Data set 1: | cost: 34.720
Data set 1: | cost: 47.294
Data set 1: | cost: 38.178
Data set 1: | cost: 39.120
Data set 1: | cost: 33.315
Data set 1: | cost: 31.705
Data set 1: | cost: 31.948
Data set 1: | cost: 35.104
Data set 1: | cost: 33.180
Data set 1: | cost: 33.051
DMC Parameters:
amp:15.5 tau:286 drc:0.55 bnds:71 bndsRate:0.00 bndsSaturation:0 resMean:288 resSD:33 aaShape:2.2 spShape:3.3 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 404 88 1.20 397 141 0.0
incomp 439 109 3.20 360 68 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 289.9 309.2 324.7 333.8 343.4 353.4 361.6 372.1 380.2 389.6 398.3 407.5 419.2 433.3 447.8 465.1 484.5 516.9 570.8
incomp 303.3 322.9 336.1 348.2 360.9 372.2 382.4 392.2 403.8 417.8 431.1 442.0 457.7 473.7 496.0 520.1 544.7 585.5 640.5
mean 296.6 316.1 330.4 341.0 352.2 362.8 372.0 382.1 392.0 403.7 414.7 424.7 438.4 453.5 471.9 492.6 514.6 551.2 605.6
effect 13.4 13.8 11.4 14.4 17.5 18.9 20.8 20.1 23.7 28.2 32.7 34.5 38.4 40.4 48.3 55.0 60.2 68.6 69.8
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.975 0.985 1.000 0.990 0.990
incomp 0.915 0.960 0.985 0.985 0.995
Data set 1: | cost: 80.447
Data set 1: | cost: 77.619
Data set 1: | cost: 80.252
Data set 1: | cost: 69.021
Data set 1: | cost: 96.747
Data set 1: | cost: 98.334
Data set 1: | cost: 77.050
Data set 1: | cost: 83.526
Data set 1: | cost: 79.472
Data set 1: | cost: 56.563
Data set 1: | cost: 49.856
Data set 1: | cost: 51.961
Data set 1: | cost: 61.686
Data set 1: | cost: 57.559
Data set 1: | cost: 62.135
Data set 1: | cost: 58.499
Data set 1: | cost: 65.573
Data set 1: | cost: 44.411
Data set 1: | cost: 43.797
Data set 1: | cost: 42.594
Data set 1: | cost: 44.082
DMC Parameters:
amp:22.4 tau:202 drc:0.56 bnds:72 bndsRate:0.00 bndsSaturation:0 resMean:248 resSD:34 aaShape:2.0 spShape:3.4 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 351 87 1.60 269 47 0.0
incomp 404 106 4.20 316 66 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 241.2 260.8 274.1 283.6 292.6 299.5 309.9 320.5 329.2 338.0 345.3 354.6 362.7 373.5 389.3 406.0 429.5 458.7 513.0
incomp 266.9 286.0 303.9 317.3 327.8 338.2 349.4 362.7 374.7 386.5 400.1 415.6 429.1 445.8 460.6 482.5 511.2 544.9 596.7
mean 254.0 273.4 289.0 300.5 310.2 318.9 329.7 341.6 352.0 362.2 372.7 385.1 395.9 409.7 424.9 444.2 470.4 501.8 554.8
effect 25.7 25.2 29.7 33.7 35.1 38.7 39.5 42.1 45.5 48.5 54.8 61.1 66.4 72.3 71.3 76.6 81.8 86.1 83.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.950 0.985 0.990 0.995 1.000
incomp 0.870 0.975 0.960 0.995 0.990
Data set 1: | cost: 0.195
Data set 1: | cost: 0.197
Data set 1: | cost: 0.163
Data set 1: | cost: 0.189
Data set 1: | cost: 0.341
Data set 1: | cost: 0.200
Data set 1: | cost: 0.180
Data set 1: | cost: 0.540
Data set 1: | cost: 0.145
Data set 1: | cost: 0.164
Data set 1: | cost: 0.174
Data set 1: | cost: 0.167
Data set 1: | cost: 0.168
Data set 1: | cost: 0.285
Data set 1: | cost: 0.140
Data set 1: | cost: 0.130
Data set 1: | cost: 0.134
Data set 1: | cost: 0.241
Data set 1: | cost: 0.165
Data set 1: | cost: 0.162
Data set 1: | cost: 0.155
DMC Parameters:
amp:19.7 tau:84 drc:0.60 bnds:70 bndsRate:0.00 bndsSaturation:0 resMean:310 resSD:29 aaShape:2.5 spShape:3.2 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 405 76 0.90 366 52 0.0
incomp 449 89 5.20 379 74 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 314.8 327.0 337.6 345.7 355.0 361.6 370.5 376.1 383.2 389.2 398.3 406.4 414.1 422.8 432.7 449.7 469.0 499.1 550.0
incomp 324.0 343.8 363.2 376.9 387.3 397.1 407.6 417.3 426.8 438.2 449.2 462.7 471.6 484.6 498.9 514.6 537.6 563.5 614.7
mean 319.4 335.4 350.4 361.3 371.1 379.4 389.1 396.7 405.0 413.7 423.8 434.6 442.8 453.7 465.8 482.1 503.3 531.3 582.4
effect 9.2 16.8 25.5 31.2 32.3 35.5 37.1 41.2 43.6 49.0 50.9 56.4 57.5 61.8 66.2 64.9 68.6 64.4 64.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.985 0.985 0.990 1.000 0.995
incomp 0.860 0.935 0.960 0.990 0.995
Data set 1: | cost: 1.009
Data set 1: | cost: 1.100
Data set 1: | cost: 1.062
Data set 1: | cost: 1.627
Data set 1: | cost: 2.711
Data set 1: | cost: 1.114
Data set 1: | cost: 0.936
Data set 1: | cost: 0.376
Data set 1: | cost: 0.361
Data set 1: | cost: 0.262
Data set 1: | cost: 0.110
Data set 1: | cost: 0.214
Data set 1: | cost: 0.314
Data set 1: | cost: 0.141
Data set 1: | cost: 0.175
Data set 1: | cost: 0.334
Data set 1: | cost: 0.193
Data set 1: | cost: 0.677
Data set 1: | cost: 0.281
Data set 1: | cost: 1.347
Data set 1: | cost: 0.319
DMC Parameters:
amp:21.5 tau:53 drc:0.60 bnds:62 bndsRate:0.00 bndsSaturation:0 resMean:270 resSD:32 aaShape:2.5 spShape:3.2 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 348 79 1.50 331 86 0.0
incomp 395 81 7.70 312 57 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 257.4 270.3 279.4 288.6 297.7 305.4 312.9 319.4 326.4 331.9 338.3 346.4 356.3 366.6 376.1 386.6 410.5 441.8 503.8
incomp 286.8 305.5 317.8 328.9 340.8 351.2 360.1 369.2 376.6 384.4 395.4 403.7 414.8 424.5 434.7 449.5 462.9 485.8 528.7
mean 272.1 287.9 298.6 308.7 319.2 328.3 336.5 344.3 351.5 358.2 366.9 375.0 385.6 395.6 405.4 418.1 436.7 463.8 516.2
effect 29.4 35.2 38.4 40.3 43.0 45.8 47.2 49.8 50.2 52.5 57.0 57.3 58.4 57.9 58.6 62.9 52.4 44.0 24.9
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.975 0.980 0.990 0.995 0.985
incomp 0.780 0.890 0.960 0.990 0.995
Iteration: 1 bestvalit: 37.926630 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727
Iteration: 2 bestvalit: 37.926630 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727
Iteration: 3 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 4 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 5 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 6 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 7 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 8 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 9 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 10 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 11 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 12 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 13 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 14 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 15 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 16 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 17 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 18 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 19 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
Iteration: 20 bestvalit: 17.465628 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994
DMC Parameters:
amp:14.6 tau:70 drc:0.56 bnds:66 bndsRate:0.00 bndsSaturation:0 resMean:306 resSD:30 aaShape:2.8 spShape:2.8 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 403 80 1.20 382 58 0.0
incomp 433 91 5.80 369 60 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 301.2 316.7 330.7 342.6 349.5 357.7 365.0 370.7 379.0 389.0 397.8 405.6 414.6 425.7 441.2 455.8 479.4 505.5 555.2
incomp 308.9 329.1 343.6 355.8 366.2 376.6 390.1 398.3 410.1 424.5 433.5 444.2 457.6 470.9 483.0 502.1 527.7 555.5 596.4
mean 305.0 322.9 337.2 349.2 357.9 367.2 377.6 384.5 394.5 406.7 415.6 424.9 436.1 448.3 462.1 478.9 503.6 530.5 575.8
effect 7.7 12.4 12.9 13.2 16.7 19.0 25.2 27.7 31.1 35.5 35.7 38.6 43.0 45.1 41.8 46.4 48.2 50.0 41.3
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.980 0.995 0.985 0.990 0.990
incomp 0.880 0.920 0.945 0.975 0.990
Iteration: 1 bestvalit: 0.357727 bestmemit: 23.395539 180.806041 0.828875 73.974456 338.352934 34.662538 1.709934 3.098264
Iteration: 2 bestvalit: 0.357727 bestmemit: 23.395539 180.806041 0.828875 73.974456 338.352934 34.662538 1.709934 3.098264
Iteration: 3 bestvalit: 0.206968 bestmemit: 15.271298 223.097587 0.699169 29.552773 360.532724 66.530101 2.379418 2.601087
Iteration: 4 bestvalit: 0.195352 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942
Iteration: 5 bestvalit: 0.195352 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942
Iteration: 6 bestvalit: 0.148694 bestmemit: 28.368921 12.644512 0.941229 56.158702 356.596672 35.852218 2.495507 3.706300
Iteration: 7 bestvalit: 0.148694 bestmemit: 28.368921 12.644512 0.941229 56.158702 356.596672 35.852218 2.495507 3.706300
Iteration: 8 bestvalit: 0.147858 bestmemit: 37.317162 156.317524 0.651593 43.926680 354.194885 51.068062 2.613392 2.056065
Iteration: 9 bestvalit: 0.141869 bestmemit: 26.914597 170.382486 0.641745 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 10 bestvalit: 0.141869 bestmemit: 26.914597 170.382486 0.641745 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 11 bestvalit: 0.084364 bestmemit: 26.914597 170.382486 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 12 bestvalit: 0.084364 bestmemit: 26.914597 170.382486 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 13 bestvalit: 0.084364 bestmemit: 26.914597 170.382486 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 14 bestvalit: 0.084364 bestmemit: 26.914597 170.382486 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 15 bestvalit: 0.071955 bestmemit: 26.914597 110.158220 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 16 bestvalit: 0.071955 bestmemit: 26.914597 110.158220 0.853446 56.105023 334.134209 45.042012 1.385704 2.959137
Iteration: 17 bestvalit: 0.037119 bestmemit: 17.290535 72.390540 0.733184 80.221592 296.930178 6.721347 1.735660 2.176343
Iteration: 18 bestvalit: 0.037119 bestmemit: 17.290535 72.390540 0.733184 80.221592 296.930178 6.721347 1.735660 2.176343
Iteration: 19 bestvalit: 0.037119 bestmemit: 17.290535 72.390540 0.733184 80.221592 296.930178 6.721347 1.735660 2.176343
Iteration: 20 bestvalit: 0.037119 bestmemit: 17.290535 72.390540 0.733184 80.221592 296.930178 6.721347 1.735660 2.176343
DMC Parameters:
amp:17.3 tau:72 drc:0.73 bnds:80 bndsRate:0.00 bndsSaturation:0 resMean:297 resSD:7 aaShape:1.7 spShape:2.2 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 394 78 0.40 306 6 0.0
incomp 416 67 4.30 330 32 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 306.8 313.2 320.9 327.9 335.6 343.4 348.7 358.6 366.0 373.3 384.2 395.1 403.9 415.1 431.9 452.2 472.3 503.5 546.8
incomp 323.1 338.8 349.2 358.2 369.0 375.8 383.8 392.0 400.1 407.8 415.0 424.5 433.1 443.8 453.7 465.1 481.2 501.0 535.3
mean 315.0 326.0 335.1 343.1 352.3 359.6 366.2 375.3 383.0 390.5 399.6 409.8 418.5 429.5 442.8 458.7 476.7 502.3 541.0
effect 16.3 25.5 28.3 30.3 33.4 32.4 35.1 33.3 34.1 34.5 30.8 29.5 29.1 28.8 21.8 12.8 8.9 -2.5 -11.5
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.980 1.000 1.000 1.000 1.000
incomp 0.830 0.980 0.980 0.995 1.000
Iteration: 1 bestvalit: 25.384498 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772
Iteration: 2 bestvalit: 24.561742 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.363223
Iteration: 3 bestvalit: 24.561742 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.363223
Iteration: 4 bestvalit: 24.561742 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.363223
Iteration: 5 bestvalit: 24.561742 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.363223
Saving _problems/test-dmcFit-51.R
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 0.62 479 93 0.0
incomp 458 95 1.34 405 98 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.7 354.7 374.5 395.0 417.5 443.0 473.2 513.0 578.6
incomp 363.6 385.8 403.3 420.3 437.8 457.9 483.5 518.8 579.4
mean 347.6 370.2 388.9 407.7 427.6 450.5 478.3 515.9 579.0
effect 31.9 31.1 28.8 25.3 20.3 14.8 10.3 5.8 0.8
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.997 0.991 0.992 0.990
incomp 0.965 0.988 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 0.71 480 99 0.0
incomp 458 95 1.36 402 90 0.0
Delta Values (Correct):
10.0% 30.0% 50.0% 70.0% 90.0%
comp 331.4 374.4 416.7 472.7 578.6
incomp 363.1 403.3 437.9 484.2 579.9
mean 347.2 388.8 427.3 478.4 579.3
effect 31.7 28.8 21.2 11.5 1.2
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.999 0.995 0.991 0.990 0.990
incomp 0.962 0.991 0.993 0.992 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 0.65 471 89 0.0
incomp 459 95 1.26 405 100 0.0
Delta Values (Correct):
10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0%
comp 331.8 355.4 375.3 395.2 417.3 442.3 472.7 513.1 578.0
incomp 364.1 386.0 403.9 420.7 437.9 458.1 483.0 518.2 578.3
mean 347.9 370.7 389.6 408.0 427.6 450.2 477.8 515.6 578.2
effect 32.2 30.6 28.6 25.5 20.6 15.8 10.3 5.1 0.4
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.998 0.995 0.992 0.990 0.991
incomp 0.965 0.991 0.994 0.995 0.992
Data set 1: | cost: 47.049
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Data set 1: | cost: 16.731
Data set 1: | cost: 18.278
Data set 1: | cost: 15.973
Data set 1: | cost: 19.363
Data set 1: | cost: 19.175
Data set 1: | cost: 18.255
Data set 1: | cost: 18.172
Data set 1: | cost: 18.946
Data set 1: | cost: 22.205
Data set 1: | cost: 20.047
Data set 1: | cost: 19.388
Data set 1: | cost: 20.304
Data set 1: | cost: 16.567
Data set 1: | cost: 17.730
Data set 1: | cost: 16.246
Data set 1: | cost: 15.598
Data set 1: | cost: 15.410
Data set 1: | cost: 21.768
Data set 1: | cost: 21.702
Data set 1: | cost: 17.595
Data set 1: | cost: 19.870
Data set 1: | cost: 18.380
Data set 1: | cost: 17.590
Data set 1: | cost: 16.595
Data set 1: | cost: 19.665
Data set 1: | cost: 20.141
Data set 1: | cost: 17.786
Data set 1: | cost: 19.616
Data set 1: | cost: 19.578
Data set 1: | cost: 19.044
Data set 1: | cost: 19.829
Data set 1: | cost: 14.432
Data set 1: | cost: 19.321
Data set 1: | cost: 19.198
Data set 1: | cost: 17.972
Data set 1: | cost: 16.982
Data set 1: | cost: 14.976
Data set 1: | cost: 14.622
Data set 1: | cost: 17.378
Data set 1: | cost: 18.021
Data set 1: | cost: 18.536
Data set 1: | cost: 20.321
Data set 1: | cost: 16.453
Data set 1: | cost: 16.915
Data set 1: | cost: 18.464
Data set 1: | cost: 17.276
Data set 1: | cost: 18.223
Data set 1: | cost: 19.911
Data set 1: | cost: 20.696
Data set 1: | cost: 17.369
Data set 1: | cost: 15.919
Data set 1: | cost: 17.894
Data set 1: | cost: 20.995
Data set 1: | cost: 16.443
Data set 1: | cost: 17.288
Data set 1: | cost: 17.381
Data set 1: | cost: 25.966
Data set 1: | cost: 16.057
Data set 1: | cost: 16.862
Data set 1: | cost: 20.566
Data set 1: | cost: 18.588
Data set 1: | cost: 17.876
Data set 1: | cost: 16.865
Data set 1: | cost: 18.623
Data set 1: | cost: 19.231
Data set 1: | cost: 17.345
Data set 1: | cost: 22.215
Data set 1: | cost: 17.520
Data set 1: | cost: 18.646
Data set 1: | cost: 18.234
Data set 1: | cost: 18.431
Data set 1: | cost: 22.310
Data set 1: | cost: 16.962
Data set 1: | cost: 20.063
Data set 1: | cost: 20.860
Data set 1: | cost: 17.971
Data set 1: | cost: 21.861
Data set 1: | cost: 13.888
Data set 1: | cost: 21.731
Data set 1: | cost: 18.280
Data set 1: | cost: 16.811
Data set 1: | cost: 20.949
Data set 1: | cost: 21.382
Data set 1: | cost: 22.537
Data set 1: | cost: 18.602
Data set 1: | cost: 16.095
Data set 1: | cost: 15.569
Data set 1: | cost: 16.616
Data set 1: | cost: 21.181
Data set 1: | cost: 18.608
Data set 1: | cost: 19.244
Data set 1: | cost: 15.779
Data set 1: | cost: 19.121
Data set 1: | cost: 17.525
Data set 1: | cost: 17.679
Data set 1: | cost: 18.098
Data set 1: | cost: 15.875
Data set 1: | cost: 18.276
Data set 1: | cost: 16.136
Data set 1: | cost: 20.785
Data set 1: | cost: 19.951
Data set 1: | cost: 19.052
Data set 1: | cost: 22.491
Data set 1: | cost: 16.907
Data set 1: | cost: 18.521
Data set 1: | cost: 14.668
Data set 1: | cost: 14.243
Data set 1: | cost: 21.103
Data set 1: | cost: 22.534
Data set 1: | cost: 18.135
Data set 1: | cost: 19.990
Data set 1: | cost: 17.780
Data set 1: | cost: 21.442
Data set 1: | cost: 16.493
Data set 1: | cost: 18.624
Data set 1: | cost: 18.589
Data set 1: | cost: 18.487
Data set 1: | cost: 15.060
Data set 1: | cost: 24.148
Data set 1: | cost: 18.402
Data set 1: | cost: 17.273
Data set 1: | cost: 21.333
Data set 1: | cost: 17.742
Data set 1: | cost: 18.654
Data set 1: | cost: 19.148
Data set 1: | cost: 24.261
Data set 1: | cost: 22.923
Data set 1: | cost: 17.833
Data set 1: | cost: 19.101
Data set 1: | cost: 16.115
Data set 1: | cost: 17.337
Data set 1: | cost: 18.428
Data set 1: | cost: 23.532
Data set 1: | cost: 14.787
Data set 1: | cost: 19.707
Data set 1: | cost: 21.040
Data set 1: | cost: 17.557
Data set 1: | cost: 15.474
Data set 1: | cost: 20.232
Data set 1: | cost: 16.592
Data set 1: | cost: 17.779
Data set 1: | cost: 17.643
Data set 1: | cost: 16.521
Data set 1: | cost: 19.814
Data set 1: | cost: 23.172
Data set 1: | cost: 17.632
Data set 1: | cost: 17.854
Data set 1: | cost: 15.790
Data set 1: | cost: 19.251
Data set 1: | cost: 18.375
Data set 1: | cost: 19.997
Data set 1: | cost: 16.954
Data set 1: | cost: 20.240
Data set 1: | cost: 15.286
Data set 1: | cost: 18.580
DMC Parameters:
amp:20.6 tau:164 drc:0.54 bnds:62 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:31 aaShape:2.0 spShape:3.3 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 390 77 1.40 373 83 0.0
incomp 437 96 6.70 359 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 296.1 314.4 324.1 331.7 338.8 347.1 354.1 361.7 368.7 375.7 383.1 393.3 400.1 409.7 420.2 432.7 450.4 478.8 520.3
incomp 307.7 331.7 346.0 358.5 368.0 379.8 389.7 401.2 412.5 420.5 431.2 444.9 458.1 471.9 491.5 508.6 533.0 563.2 623.7
mean 301.9 323.0 335.0 345.1 353.4 363.5 371.9 381.4 390.6 398.1 407.1 419.1 429.1 440.8 455.9 470.7 491.7 521.0 572.0
effect 11.6 17.3 21.8 26.8 29.2 32.7 35.6 39.5 43.8 44.7 48.0 51.5 58.0 62.2 71.4 75.9 82.6 84.4 103.4
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.970 0.980 1.000 0.995 0.985
incomp 0.810 0.935 0.955 0.975 0.990
Data set 1: | cost: 39.407
Data set 1: | cost: 42.090
Data set 1: | cost: 41.308
Data set 1: | cost: 33.264
Data set 1: | cost: 62.807
Data set 1: | cost: 64.421
Data set 1: | cost: 49.073
Data set 1: | cost: 46.664
Data set 1: | cost: 46.794
Data set 1: | cost: 33.248
Data set 1: | cost: 36.554
Data set 1: | cost: 30.000
Data set 1: | cost: 29.383
Data set 1: | cost: 27.538
Data set 1: | cost: 25.684
Data set 1: | cost: 26.314
Data set 1: | cost: 29.682
Data set 1: | cost: 25.719
Data set 1: | cost: 21.880
Data set 1: | cost: 24.537
Data set 1: | cost: 28.563
Data set 1: | cost: 29.228
Data set 1: | cost: 23.073
Data set 1: | cost: 38.420
Data set 1: | cost: 27.062
Data set 1: | cost: 34.717
Data set 1: | cost: 27.840
Data set 1: | cost: 23.467
Data set 1: | cost: 21.953
Data set 1: | cost: 32.069
Data set 1: | cost: 26.713
Data set 1: | cost: 26.505
Data set 1: | cost: 23.861
Data set 1: | cost: 27.262
Data set 1: | cost: 25.650
Data set 1: | cost: 25.413
Data set 1: | cost: 25.718
Data set 1: | cost: 23.114
Data set 1: | cost: 23.553
Data set 1: | cost: 23.860
Data set 1: | cost: 26.428
Data set 1: | cost: 19.574
Data set 1: | cost: 20.770
Data set 1: | cost: 25.891
Data set 1: | cost: 21.600
Data set 1: | cost: 24.673
Data set 1: | cost: 24.622
Data set 1: | cost: 19.043
Data set 1: | cost: 24.226
Data set 1: | cost: 22.884
Data set 1: | cost: 19.334
Data set 1: | cost: 21.152
Data set 1: | cost: 23.128
Data set 1: | cost: 21.303
Data set 1: | cost: 25.378
Data set 1: | cost: 21.968
Data set 1: | cost: 24.053
Data set 1: | cost: 23.108
Data set 1: | cost: 27.678
Data set 1: | cost: 26.659
Data set 1: | cost: 25.417
Data set 1: | cost: 22.103
Data set 1: | cost: 21.766
Data set 1: | cost: 23.118
Data set 1: | cost: 24.794
Data set 1: | cost: 22.036
Data set 1: | cost: 23.864
Data set 1: | cost: 23.072
Data set 1: | cost: 24.370
Data set 1: | cost: 22.556
Data set 1: | cost: 23.714
Data set 1: | cost: 24.005
Data set 1: | cost: 21.313
Data set 1: | cost: 23.259
Data set 1: | cost: 22.845
Data set 1: | cost: 21.714
Data set 1: | cost: 23.774
Data set 1: | cost: 21.104
Data set 1: | cost: 22.461
Data set 1: | cost: 23.344
Data set 1: | cost: 23.642
Data set 1: | cost: 23.220
Data set 1: | cost: 23.866
Data set 1: | cost: 24.026
Data set 1: | cost: 26.001
Data set 1: | cost: 22.933
Data set 1: | cost: 21.317
Data set 1: | cost: 22.577
Data set 1: | cost: 23.152
Data set 1: | cost: 24.810
Data set 1: | cost: 19.211
Data set 1: | cost: 22.186
Data set 1: | cost: 23.658
Data set 1: | cost: 26.687
Data set 1: | cost: 24.620
Data set 1: | cost: 23.682
Data set 1: | cost: 22.589
Data set 1: | cost: 20.359
Data set 1: | cost: 24.968
Data set 1: | cost: 22.458
Data set 1: | cost: 22.916
Data set 1: | cost: 22.022
Data set 1: | cost: 20.590
Data set 1: | cost: 20.466
Data set 1: | cost: 23.088
Data set 1: | cost: 23.190
Data set 1: | cost: 22.463
Data set 1: | cost: 21.896
Data set 1: | cost: 24.725
Data set 1: | cost: 22.493
Data set 1: | cost: 22.475
Data set 1: | cost: 25.600
Data set 1: | cost: 26.729
Data set 1: | cost: 23.262
Data set 1: | cost: 22.859
Data set 1: | cost: 24.195
Data set 1: | cost: 25.024
Data set 1: | cost: 25.429
Data set 1: | cost: 23.726
Data set 1: | cost: 23.491
Data set 1: | cost: 21.299
Data set 1: | cost: 24.444
Data set 1: | cost: 24.189
Data set 1: | cost: 22.654
Data set 1: | cost: 26.083
Data set 1: | cost: 25.324
Data set 1: | cost: 22.758
Data set 1: | cost: 24.174
Data set 1: | cost: 24.859
Data set 1: | cost: 21.819
Data set 1: | cost: 20.785
Data set 1: | cost: 25.703
Data set 1: | cost: 22.603
Data set 1: | cost: 26.496
Data set 1: | cost: 23.232
Data set 1: | cost: 26.285
Data set 1: | cost: 23.161
Data set 1: | cost: 23.897
Data set 1: | cost: 22.734
Data set 1: | cost: 20.969
Data set 1: | cost: 20.930
Data set 1: | cost: 26.746
Data set 1: | cost: 23.242
Data set 1: | cost: 23.592
Data set 1: | cost: 23.634
Data set 1: | cost: 25.293
Data set 1: | cost: 23.970
Data set 1: | cost: 22.549
Data set 1: | cost: 22.580
Data set 1: | cost: 22.687
Data set 1: | cost: 24.191
Data set 1: | cost: 18.942
Data set 1: | cost: 24.609
Data set 1: | cost: 24.070
Data set 1: | cost: 24.766
Data set 1: | cost: 23.456
Data set 1: | cost: 22.920
Data set 1: | cost: 24.117
Data set 1: | cost: 21.424
Data set 1: | cost: 24.113
Data set 1: | cost: 21.742
Data set 1: | cost: 22.722
Data set 1: | cost: 24.003
Data set 1: | cost: 25.162
Data set 1: | cost: 24.884
Data set 1: | cost: 24.507
Data set 1: | cost: 24.173
Data set 1: | cost: 22.607
Data set 1: | cost: 30.350
Data set 1: | cost: 21.701
Data set 1: | cost: 25.499
Data set 1: | cost: 23.296
Data set 1: | cost: 23.092
Data set 1: | cost: 23.200
Data set 1: | cost: 23.467
Data set 1: | cost: 28.822
Data set 1: | cost: 24.890
Data set 1: | cost: 22.829
Data set 1: | cost: 23.564
Data set 1: | cost: 22.435
Data set 1: | cost: 26.338
Data set 1: | cost: 23.114
Data set 1: | cost: 22.460
Data set 1: | cost: 22.745
Data set 1: | cost: 21.624
Data set 1: | cost: 21.521
Data set 1: | cost: 23.551
Data set 1: | cost: 22.326
Data set 1: | cost: 25.125
Data set 1: | cost: 21.412
Data set 1: | cost: 23.724
Data set 1: | cost: 24.460
Data set 1: | cost: 21.756
Data set 1: | cost: 24.175
Data set 1: | cost: 23.967
Data set 1: | cost: 22.137
Data set 1: | cost: 22.005
Data set 1: | cost: 20.940
Data set 1: | cost: 26.270
Data set 1: | cost: 21.843
Data set 1: | cost: 23.485
Data set 1: | cost: 24.563
Data set 1: | cost: 25.649
Data set 1: | cost: 23.761
Data set 1: | cost: 25.177
Data set 1: | cost: 22.144
Data set 1: | cost: 25.172
Data set 1: | cost: 26.280
Data set 1: | cost: 23.244
Data set 1: | cost: 22.553
Data set 1: | cost: 23.359
Data set 1: | cost: 22.445
Data set 1: | cost: 23.129
Data set 1: | cost: 22.813
Data set 1: | cost: 22.681
Data set 1: | cost: 24.621
Data set 1: | cost: 25.278
Data set 1: | cost: 21.842
Data set 1: | cost: 23.387
Data set 1: | cost: 25.023
Data set 1: | cost: 21.817
Data set 1: | cost: 24.603
Data set 1: | cost: 23.375
Data set 1: | cost: 25.426
Data set 1: | cost: 23.061
Data set 1: | cost: 24.080
Data set 1: | cost: 22.036
Data set 1: | cost: 22.184
Data set 1: | cost: 25.092
Data set 1: | cost: 24.945
Data set 1: | cost: 22.074
Data set 1: | cost: 21.881
Data set 1: | cost: 20.443
Data set 1: | cost: 22.975
Data set 1: | cost: 23.527
Data set 1: | cost: 24.337
Data set 1: | cost: 23.552
Data set 1: | cost: 22.067
Data set 1: | cost: 23.463
Data set 1: | cost: 27.696
Data set 1: | cost: 25.043
Data set 1: | cost: 22.335
Data set 1: | cost: 22.200
Data set 1: | cost: 24.496
Data set 1: | cost: 22.555
Data set 1: | cost: 23.212
Data set 1: | cost: 24.690
Data set 1: | cost: 23.161
Data set 1: | cost: 25.572
Data set 1: | cost: 22.429
Data set 1: | cost: 23.352
Data set 1: | cost: 22.408
Data set 1: | cost: 26.091
Data set 1: | cost: 21.995
Data set 1: | cost: 23.691
Data set 1: | cost: 25.705
Data set 1: | cost: 24.499
Data set 1: | cost: 22.539
Data set 1: | cost: 21.222
Data set 1: | cost: 22.740
Data set 1: | cost: 21.914
Data set 1: | cost: 25.277
Data set 1: | cost: 25.347
Data set 1: | cost: 25.231
Data set 1: | cost: 23.727
Data set 1: | cost: 22.898
Data set 1: | cost: 25.240
Data set 1: | cost: 24.834
Data set 1: | cost: 19.933
Data set 1: | cost: 21.250
Data set 1: | cost: 24.136
Data set 1: | cost: 24.384
Data set 1: | cost: 25.897
Data set 1: | cost: 23.698
Data set 1: | cost: 23.908
Data set 1: | cost: 24.867
Data set 1: | cost: 24.489
Data set 1: | cost: 21.600
Data set 1: | cost: 22.670
Data set 1: | cost: 21.171
Data set 1: | cost: 21.375
Data set 1: | cost: 23.914
Data set 1: | cost: 22.113
Data set 1: | cost: 25.364
Data set 1: | cost: 22.323
Data set 1: | cost: 23.615
Data set 1: | cost: 22.464
Data set 1: | cost: 28.656
Data set 1: | cost: 22.111
Data set 1: | cost: 23.518
Data set 1: | cost: 24.352
Data set 1: | cost: 21.189
Data set 1: | cost: 22.934
Data set 1: | cost: 24.858
Data set 1: | cost: 22.449
Data set 1: | cost: 24.811
Data set 1: | cost: 21.702
Data set 1: | cost: 24.548
Data set 1: | cost: 23.779
Data set 1: | cost: 24.228
Data set 1: | cost: 24.325
Data set 1: | cost: 24.326
Data set 1: | cost: 24.046
Data set 1: | cost: 22.422
Data set 1: | cost: 20.678
Data set 1: | cost: 22.926
Data set 1: | cost: 24.446
Data set 1: | cost: 23.758
Data set 1: | cost: 25.033
Data set 1: | cost: 25.124
Data set 1: | cost: 22.666
Data set 1: | cost: 22.940
Data set 1: | cost: 23.931
Data set 1: | cost: 21.490
Data set 1: | cost: 25.785
Data set 1: | cost: 27.088
Data set 1: | cost: 22.792
Data set 1: | cost: 22.045
Data set 1: | cost: 23.123
Data set 1: | cost: 24.039
Data set 1: | cost: 20.838
Data set 1: | cost: 22.881
Data set 1: | cost: 24.358
Data set 1: | cost: 25.300
Data set 1: | cost: 24.193
Data set 1: | cost: 24.333
Data set 1: | cost: 23.781
Data set 1: | cost: 22.366
Data set 1: | cost: 22.615
Data set 1: | cost: 23.970
Data set 1: | cost: 25.568
Data set 1: | cost: 22.778
Data set 1: | cost: 27.123
Data set 1: | cost: 24.110
Data set 1: | cost: 24.538
Data set 1: | cost: 23.609
Data set 1: | cost: 24.779
Data set 1: | cost: 23.360
Data set 1: | cost: 22.697
Data set 1: | cost: 21.118
Data set 1: | cost: 25.314
Data set 1: | cost: 22.909
Data set 1: | cost: 23.550
Data set 1: | cost: 23.973
Data set 1: | cost: 24.313
Data set 1: | cost: 22.022
Data set 1: | cost: 24.345
Data set 1: | cost: 22.628
Data set 1: | cost: 23.191
Data set 1: | cost: 24.152
Data set 1: | cost: 22.393
Data set 1: | cost: 23.542
Data set 1: | cost: 25.498
Data set 1: | cost: 23.488
Data set 1: | cost: 23.500
Data set 1: | cost: 21.660
Data set 1: | cost: 23.712
Data set 1: | cost: 23.766
Data set 1: | cost: 25.711
Data set 1: | cost: 25.642
Data set 1: | cost: 24.653
Data set 1: | cost: 21.104
Data set 1: | cost: 20.815
Data set 1: | cost: 26.652
Data set 1: | cost: 22.773
Data set 1: | cost: 23.214
Data set 1: | cost: 21.898
Data set 1: | cost: 23.705
Data set 1: | cost: 26.745
Data set 1: | cost: 25.672
Data set 1: | cost: 21.686
Data set 1: | cost: 24.032
Data set 1: | cost: 22.996
Data set 1: | cost: 21.786
Data set 1: | cost: 25.229
Data set 1: | cost: 25.148
Data set 1: | cost: 25.143
Data set 1: | cost: 22.779
Data set 1: | cost: 22.057
Data set 1: | cost: 20.858
Data set 1: | cost: 23.680
Data set 1: | cost: 23.137
Data set 1: | cost: 22.098
Data set 1: | cost: 26.296
Data set 1: | cost: 21.775
Data set 1: | cost: 21.480
Data set 1: | cost: 23.844
Data set 1: | cost: 22.417
Data set 1: | cost: 21.277
Data set 1: | cost: 24.200
Data set 1: | cost: 26.490
Data set 1: | cost: 22.879
Data set 1: | cost: 23.392
Data set 1: | cost: 21.964
Data set 1: | cost: 25.094
Data set 1: | cost: 22.165
Data set 1: | cost: 26.214
Data set 1: | cost: 26.493
Data set 1: | cost: 23.833
Data set 1: | cost: 23.029
Data set 1: | cost: 24.059
Data set 1: | cost: 26.822
Data set 1: | cost: 24.048
Data set 1: | cost: 21.917
Data set 1: | cost: 23.687
Data set 1: | cost: 25.042
Data set 1: | cost: 22.818
Data set 1: | cost: 26.377
Data set 1: | cost: 22.759
Data set 1: | cost: 22.067
Data set 1: | cost: 24.164
Data set 1: | cost: 22.189
Data set 1: | cost: 25.168
Data set 1: | cost: 25.007
Data set 1: | cost: 25.738
Data set 1: | cost: 22.599
Data set 1: | cost: 21.016
Data set 1: | cost: 21.791
Data set 1: | cost: 24.592
Data set 1: | cost: 27.322
Data set 1: | cost: 24.197
Data set 1: | cost: 24.617
Data set 1: | cost: 25.367
Data set 1: | cost: 23.022
Data set 1: | cost: 22.679
Data set 1: | cost: 26.296
Data set 1: | cost: 22.601
Data set 1: | cost: 21.360
Data set 1: | cost: 22.282
Data set 1: | cost: 23.165
Data set 1: | cost: 21.695
Data set 1: | cost: 22.721
Data set 1: | cost: 22.023
Data set 1: | cost: 22.734
Data set 1: | cost: 22.102
Data set 1: | cost: 28.910
Data set 1: | cost: 22.805
Data set 1: | cost: 25.000
Data set 1: | cost: 21.819
Data set 1: | cost: 21.320
Data set 1: | cost: 23.223
Data set 1: | cost: 23.735
Data set 1: | cost: 24.332
Data set 1: | cost: 26.838
Data set 1: | cost: 23.852
Data set 1: | cost: 21.665
Data set 1: | cost: 20.302
Data set 1: | cost: 23.013
Data set 1: | cost: 23.574
Data set 1: | cost: 22.763
Data set 1: | cost: 22.189
Data set 1: | cost: 21.762
Data set 1: | cost: 22.659
Data set 1: | cost: 25.727
Data set 1: | cost: 25.887
Data set 1: | cost: 26.499
Data set 1: | cost: 20.431
Data set 1: | cost: 25.535
Data set 1: | cost: 23.409
Data set 1: | cost: 23.783
Data set 1: | cost: 22.315
Data set 1: | cost: 23.210
Data set 1: | cost: 21.752
Data set 1: | cost: 21.692
Data set 1: | cost: 21.898
Data set 1: | cost: 24.697
Data set 1: | cost: 20.440
Data set 1: | cost: 21.615
Data set 1: | cost: 24.295
Data set 1: | cost: 26.076
Data set 1: | cost: 26.721
Data set 1: | cost: 20.439
Data set 1: | cost: 21.329
Data set 1: | cost: 23.298
Data set 1: | cost: 24.110
Data set 1: | cost: 24.656
Data set 1: | cost: 22.357
Data set 1: | cost: 21.523
Data set 1: | cost: 22.396
Data set 1: | cost: 22.436
Data set 1: | cost: 25.751
Data set 1: | cost: 21.281
Data set 1: | cost: 23.648
Data set 1: | cost: 22.784
Data set 1: | cost: 23.883
Data set 1: | cost: 25.847
Data set 1: | cost: 22.569
Data set 1: | cost: 21.594
Data set 1: | cost: 20.629
Data set 1: | cost: 23.841
Data set 1: | cost: 22.155
Data set 1: | cost: 25.736
Data set 1: | cost: 22.340
Data set 1: | cost: 23.033
Data set 1: | cost: 25.623
Data set 1: | cost: 22.735
Data set 1: | cost: 25.581
Data set 1: | cost: 22.551
Data set 1: | cost: 22.704
Data set 1: | cost: 22.465
Data set 1: | cost: 23.409
Data set 1: | cost: 25.667
Data set 1: | cost: 22.208
Data set 1: | cost: 23.748
Data set 1: | cost: 23.260
DMC Parameters:
amp:19.7 tau:85 drc:0.54 bnds:68 bndsRate:0.00 bndsSaturation:0 resMean:282 resSD:29 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 377 82 1.20 375 120 0.0
incomp 425 86 7.30 338 60 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 278.1 292.2 305.2 315.7 321.7 329.9 337.2 343.8 352.2 359.6 368.5 377.2 388.5 399.3 409.8 428.8 445.7 476.3 543.2
incomp 306.3 325.4 341.1 352.5 363.3 373.7 384.3 393.9 404.6 413.5 425.4 436.2 448.0 458.3 474.0 492.8 508.9 534.3 579.0
mean 292.2 308.8 323.1 334.1 342.5 351.8 360.7 368.8 378.4 386.5 396.9 406.7 418.2 428.8 441.9 460.8 477.3 505.3 561.1
effect 28.2 33.2 35.9 36.8 41.5 43.8 47.1 50.1 52.4 53.9 56.9 59.0 59.5 59.0 64.2 64.0 63.2 58.0 35.8
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.980 0.990 0.985 0.995 0.990
incomp 0.765 0.925 0.960 0.995 0.990
Data set 1: | cost: 63.091
Data set 1: | cost: 51.949
Data set 1: | cost: 61.544
Data set 1: | cost: 55.199
Data set 1: | cost: 69.906
Data set 1: | cost: 74.144
Data set 1: | cost: 61.910
Data set 1: | cost: 63.034
Data set 1: | cost: 60.542
Data set 1: | cost: 51.929
Data set 1: | cost: 63.708
Data set 1: | cost: 43.264
Data set 1: | cost: 43.762
Data set 1: | cost: 52.481
Data set 1: | cost: 53.378
Data set 1: | cost: 50.093
Data set 1: | cost: 47.715
Data set 1: | cost: 51.035
Data set 1: | cost: 49.541
Data set 1: | cost: 42.661
Data set 1: | cost: 48.364
Data set 1: | cost: 42.516
Data set 1: | cost: 51.222
Data set 1: | cost: 43.400
Data set 1: | cost: 48.418
Data set 1: | cost: 44.503
Data set 1: | cost: 48.214
Data set 1: | cost: 58.174
Data set 1: | cost: 51.419
Data set 1: | cost: 45.501
Data set 1: | cost: 44.900
Data set 1: | cost: 43.257
Data set 1: | cost: 47.091
Data set 1: | cost: 47.188
Data set 1: | cost: 50.420
Data set 1: | cost: 48.341
Data set 1: | cost: 54.283
Data set 1: | cost: 50.774
Data set 1: | cost: 50.282
Data set 1: | cost: 43.723
Data set 1: | cost: 46.017
Data set 1: | cost: 44.596
Data set 1: | cost: 49.126
Data set 1: | cost: 41.799
Data set 1: | cost: 48.683
Data set 1: | cost: 45.490
Data set 1: | cost: 49.137
Data set 1: | cost: 49.739
Data set 1: | cost: 45.480
Data set 1: | cost: 48.666
Data set 1: | cost: 46.936
Data set 1: | cost: 52.360
Data set 1: | cost: 50.669
Data set 1: | cost: 47.128
Data set 1: | cost: 45.800
Data set 1: | cost: 47.952
Data set 1: | cost: 50.854
Data set 1: | cost: 41.358
Data set 1: | cost: 50.994
Data set 1: | cost: 49.021
Data set 1: | cost: 47.288
Data set 1: | cost: 47.706
Data set 1: | cost: 46.143
Data set 1: | cost: 45.712
Data set 1: | cost: 44.929
Data set 1: | cost: 49.393
Data set 1: | cost: 44.505
Data set 1: | cost: 46.521
Data set 1: | cost: 42.406
Data set 1: | cost: 49.051
Data set 1: | cost: 43.337
Data set 1: | cost: 45.634
Data set 1: | cost: 50.781
Data set 1: | cost: 46.959
Data set 1: | cost: 48.109
Data set 1: | cost: 45.149
Data set 1: | cost: 49.021
Data set 1: | cost: 45.080
Data set 1: | cost: 45.400
Data set 1: | cost: 48.670
Data set 1: | cost: 45.832
Data set 1: | cost: 42.000
Data set 1: | cost: 49.936
Data set 1: | cost: 41.732
Data set 1: | cost: 47.669
Data set 1: | cost: 45.941
Data set 1: | cost: 45.733
Data set 1: | cost: 46.707
Data set 1: | cost: 41.927
Data set 1: | cost: 47.491
Data set 1: | cost: 44.434
Data set 1: | cost: 47.399
Data set 1: | cost: 46.136
Data set 1: | cost: 46.688
Data set 1: | cost: 44.917
Data set 1: | cost: 48.808
Data set 1: | cost: 46.560
Data set 1: | cost: 43.291
Data set 1: | cost: 45.726
Data set 1: | cost: 45.697
Data set 1: | cost: 42.539
Data set 1: | cost: 41.999
Data set 1: | cost: 45.420
Data set 1: | cost: 45.295
Data set 1: | cost: 46.011
Data set 1: | cost: 41.764
Data set 1: | cost: 48.943
Data set 1: | cost: 47.605
Data set 1: | cost: 48.173
Data set 1: | cost: 51.564
Data set 1: | cost: 44.952
Data set 1: | cost: 52.040
Data set 1: | cost: 47.158
Data set 1: | cost: 43.367
Data set 1: | cost: 40.663
Data set 1: | cost: 45.593
Data set 1: | cost: 47.587
Data set 1: | cost: 45.993
Data set 1: | cost: 47.596
Data set 1: | cost: 51.037
Data set 1: | cost: 40.591
Data set 1: | cost: 44.767
Data set 1: | cost: 45.714
Data set 1: | cost: 42.735
Data set 1: | cost: 49.063
Data set 1: | cost: 42.094
Data set 1: | cost: 49.043
Data set 1: | cost: 45.265
Data set 1: | cost: 45.899
Data set 1: | cost: 46.293
Data set 1: | cost: 48.433
Data set 1: | cost: 47.920
Data set 1: | cost: 44.565
Data set 1: | cost: 49.659
Data set 1: | cost: 48.153
Data set 1: | cost: 47.552
Data set 1: | cost: 45.299
Data set 1: | cost: 43.494
Data set 1: | cost: 43.801
Data set 1: | cost: 46.025
Data set 1: | cost: 47.198
Data set 1: | cost: 43.042
Data set 1: | cost: 45.348
Data set 1: | cost: 50.306
Data set 1: | cost: 48.357
Data set 1: | cost: 42.800
Data set 1: | cost: 46.136
Data set 1: | cost: 49.709
Data set 1: | cost: 42.860
Data set 1: | cost: 49.174
Data set 1: | cost: 45.929
Data set 1: | cost: 47.614
Data set 1: | cost: 47.033
Data set 1: | cost: 47.683
Data set 1: | cost: 44.134
Data set 1: | cost: 45.282
Data set 1: | cost: 46.081
Data set 1: | cost: 37.912
Data set 1: | cost: 49.623
Data set 1: | cost: 47.980
Data set 1: | cost: 53.483
Data set 1: | cost: 40.556
Data set 1: | cost: 39.851
Data set 1: | cost: 43.986
Data set 1: | cost: 45.431
Data set 1: | cost: 47.236
Data set 1: | cost: 46.157
Data set 1: | cost: 46.853
Data set 1: | cost: 39.454
Data set 1: | cost: 48.397
Data set 1: | cost: 45.365
Data set 1: | cost: 51.008
Data set 1: | cost: 48.479
Data set 1: | cost: 42.697
Data set 1: | cost: 45.321
Data set 1: | cost: 47.141
Data set 1: | cost: 39.880
Data set 1: | cost: 41.031
Data set 1: | cost: 47.005
Data set 1: | cost: 47.018
Data set 1: | cost: 48.021
Data set 1: | cost: 46.799
Data set 1: | cost: 48.899
Data set 1: | cost: 43.048
Data set 1: | cost: 43.891
Data set 1: | cost: 45.786
Data set 1: | cost: 45.985
Data set 1: | cost: 45.323
Data set 1: | cost: 47.402
Data set 1: | cost: 45.737
Data set 1: | cost: 46.971
Data set 1: | cost: 40.061
Data set 1: | cost: 47.879
Data set 1: | cost: 45.987
Data set 1: | cost: 46.864
Data set 1: | cost: 47.678
Data set 1: | cost: 39.049
Data set 1: | cost: 40.390
Data set 1: | cost: 49.752
Data set 1: | cost: 47.249
Data set 1: | cost: 48.919
Data set 1: | cost: 48.676
Data set 1: | cost: 45.435
Data set 1: | cost: 45.747
Data set 1: | cost: 41.864
Data set 1: | cost: 43.244
Data set 1: | cost: 39.259
Data set 1: | cost: 46.002
Data set 1: | cost: 47.872
Data set 1: | cost: 42.689
Data set 1: | cost: 45.104
Data set 1: | cost: 46.778
Data set 1: | cost: 46.890
Data set 1: | cost: 48.320
Data set 1: | cost: 45.798
Data set 1: | cost: 47.867
Data set 1: | cost: 48.935
Data set 1: | cost: 50.310
Data set 1: | cost: 47.095
Data set 1: | cost: 48.544
Data set 1: | cost: 50.864
Data set 1: | cost: 50.508
Data set 1: | cost: 47.713
Data set 1: | cost: 43.334
Data set 1: | cost: 40.458
Data set 1: | cost: 44.127
Data set 1: | cost: 43.540
Data set 1: | cost: 46.631
Data set 1: | cost: 42.238
Data set 1: | cost: 44.585
Data set 1: | cost: 51.211
Data set 1: | cost: 45.805
Data set 1: | cost: 46.036
Data set 1: | cost: 48.205
Data set 1: | cost: 50.568
Data set 1: | cost: 47.912
Data set 1: | cost: 43.034
Data set 1: | cost: 47.493
Data set 1: | cost: 46.763
Data set 1: | cost: 49.861
Data set 1: | cost: 40.070
Data set 1: | cost: 49.092
Data set 1: | cost: 42.692
Data set 1: | cost: 44.565
Data set 1: | cost: 46.169
Data set 1: | cost: 46.690
Data set 1: | cost: 48.992
Data set 1: | cost: 45.059
Data set 1: | cost: 51.040
Data set 1: | cost: 45.138
Data set 1: | cost: 44.143
Data set 1: | cost: 50.428
Data set 1: | cost: 49.668
Data set 1: | cost: 45.410
Data set 1: | cost: 42.420
Data set 1: | cost: 47.102
Data set 1: | cost: 45.493
Data set 1: | cost: 43.183
Data set 1: | cost: 45.231
Data set 1: | cost: 42.637
Data set 1: | cost: 43.121
Data set 1: | cost: 45.422
Data set 1: | cost: 47.724
Data set 1: | cost: 44.361
Data set 1: | cost: 44.107
Data set 1: | cost: 47.507
Data set 1: | cost: 54.142
Data set 1: | cost: 44.769
Data set 1: | cost: 44.248
Data set 1: | cost: 48.212
Data set 1: | cost: 45.669
Data set 1: | cost: 45.234
Data set 1: | cost: 43.693
Data set 1: | cost: 44.530
Data set 1: | cost: 50.094
Data set 1: | cost: 45.637
Data set 1: | cost: 43.299
Data set 1: | cost: 50.418
Data set 1: | cost: 48.563
Data set 1: | cost: 46.905
Data set 1: | cost: 44.424
Data set 1: | cost: 47.356
Data set 1: | cost: 48.430
Data set 1: | cost: 45.207
Data set 1: | cost: 42.252
Data set 1: | cost: 45.688
Data set 1: | cost: 51.049
Data set 1: | cost: 42.679
Data set 1: | cost: 44.882
Data set 1: | cost: 48.093
Data set 1: | cost: 43.783
Data set 1: | cost: 44.824
Data set 1: | cost: 45.362
Data set 1: | cost: 47.243
Data set 1: | cost: 41.526
Data set 1: | cost: 50.406
Data set 1: | cost: 47.265
Data set 1: | cost: 46.415
Data set 1: | cost: 51.836
Data set 1: | cost: 47.949
Data set 1: | cost: 44.831
Data set 1: | cost: 39.624
Data set 1: | cost: 47.702
Data set 1: | cost: 39.477
Data set 1: | cost: 47.603
Data set 1: | cost: 46.085
Data set 1: | cost: 45.941
Data set 1: | cost: 48.505
Data set 1: | cost: 49.265
Data set 1: | cost: 44.183
Data set 1: | cost: 42.388
Data set 1: | cost: 44.528
Data set 1: | cost: 46.703
Data set 1: | cost: 44.742
Data set 1: | cost: 49.065
Data set 1: | cost: 45.959
Data set 1: | cost: 47.113
Data set 1: | cost: 45.669
Data set 1: | cost: 47.697
Data set 1: | cost: 47.107
Data set 1: | cost: 50.248
Data set 1: | cost: 47.425
Data set 1: | cost: 47.936
Data set 1: | cost: 46.148
Data set 1: | cost: 40.538
Data set 1: | cost: 38.484
Data set 1: | cost: 49.355
Data set 1: | cost: 45.464
Data set 1: | cost: 46.646
Data set 1: | cost: 45.706
Data set 1: | cost: 43.243
Data set 1: | cost: 45.167
Data set 1: | cost: 47.503
Data set 1: | cost: 46.789
Data set 1: | cost: 42.971
Data set 1: | cost: 45.306
Data set 1: | cost: 42.541
Data set 1: | cost: 47.694
Data set 1: | cost: 49.491
Data set 1: | cost: 49.992
Data set 1: | cost: 43.420
Data set 1: | cost: 41.352
Data set 1: | cost: 43.722
Data set 1: | cost: 45.905
Data set 1: | cost: 44.251
Data set 1: | cost: 52.370
Data set 1: | cost: 43.758
Data set 1: | cost: 42.741
Data set 1: | cost: 44.187
Data set 1: | cost: 42.971
Data set 1: | cost: 42.954
Data set 1: | cost: 46.788
Data set 1: | cost: 44.247
Data set 1: | cost: 49.268
Data set 1: | cost: 49.007
Data set 1: | cost: 43.504
Data set 1: | cost: 50.068
Data set 1: | cost: 45.833
Data set 1: | cost: 46.662
Data set 1: | cost: 40.517
Data set 1: | cost: 48.590
Data set 1: | cost: 46.602
Data set 1: | cost: 47.007
Data set 1: | cost: 50.959
Data set 1: | cost: 44.701
Data set 1: | cost: 41.432
Data set 1: | cost: 42.572
Data set 1: | cost: 52.542
Data set 1: | cost: 46.504
Data set 1: | cost: 49.187
Data set 1: | cost: 46.663
Data set 1: | cost: 41.589
Data set 1: | cost: 45.270
Data set 1: | cost: 49.504
Data set 1: | cost: 45.130
Data set 1: | cost: 46.718
Data set 1: | cost: 45.782
Data set 1: | cost: 43.124
Data set 1: | cost: 45.281
Data set 1: | cost: 46.361
Data set 1: | cost: 43.072
Data set 1: | cost: 50.946
Data set 1: | cost: 45.581
Data set 1: | cost: 48.761
Data set 1: | cost: 45.878
Data set 1: | cost: 48.460
Data set 1: | cost: 45.402
Data set 1: | cost: 40.919
Data set 1: | cost: 42.804
Data set 1: | cost: 48.685
Data set 1: | cost: 43.348
Data set 1: | cost: 49.552
Data set 1: | cost: 49.364
Data set 1: | cost: 42.767
Data set 1: | cost: 43.909
Data set 1: | cost: 44.518
Data set 1: | cost: 47.049
Data set 1: | cost: 47.822
Data set 1: | cost: 44.471
Data set 1: | cost: 47.495
Data set 1: | cost: 43.433
Data set 1: | cost: 42.482
Data set 1: | cost: 41.355
Data set 1: | cost: 47.949
Data set 1: | cost: 41.410
Data set 1: | cost: 48.131
Data set 1: | cost: 51.479
Data set 1: | cost: 48.279
Data set 1: | cost: 43.963
Data set 1: | cost: 55.519
Data set 1: | cost: 40.443
Data set 1: | cost: 50.039
Data set 1: | cost: 44.342
Data set 1: | cost: 48.283
Data set 1: | cost: 49.344
Data set 1: | cost: 46.688
Data set 1: | cost: 45.715
Data set 1: | cost: 47.947
Data set 1: | cost: 47.236
Data set 1: | cost: 45.789
Data set 1: | cost: 43.712
Data set 1: | cost: 45.614
Data set 1: | cost: 46.200
Data set 1: | cost: 46.750
Data set 1: | cost: 48.241
Data set 1: | cost: 49.070
Data set 1: | cost: 48.712
Data set 1: | cost: 48.094
Data set 1: | cost: 50.321
Data set 1: | cost: 50.758
Data set 1: | cost: 46.801
Data set 1: | cost: 47.745
Data set 1: | cost: 49.547
Data set 1: | cost: 43.511
Data set 1: | cost: 47.535
Data set 1: | cost: 47.009
Data set 1: | cost: 48.111
Data set 1: | cost: 42.267
Data set 1: | cost: 51.760
Data set 1: | cost: 44.589
Data set 1: | cost: 50.094
Data set 1: | cost: 45.478
Data set 1: | cost: 44.323
Data set 1: | cost: 44.126
Data set 1: | cost: 43.228
Data set 1: | cost: 45.237
Data set 1: | cost: 47.269
Data set 1: | cost: 45.544
Data set 1: | cost: 47.463
Data set 1: | cost: 43.041
Data set 1: | cost: 41.611
Data set 1: | cost: 42.592
Data set 1: | cost: 46.251
Data set 1: | cost: 39.490
Data set 1: | cost: 48.720
Data set 1: | cost: 49.312
Data set 1: | cost: 51.482
Data set 1: | cost: 50.294
Data set 1: | cost: 50.688
Data set 1: | cost: 49.475
Data set 1: | cost: 43.643
Data set 1: | cost: 48.192
Data set 1: | cost: 48.610
Data set 1: | cost: 40.456
Data set 1: | cost: 48.152
Data set 1: | cost: 42.081
Data set 1: | cost: 47.207
Data set 1: | cost: 44.809
Data set 1: | cost: 50.248
Data set 1: | cost: 46.208
Data set 1: | cost: 44.770
Data set 1: | cost: 49.857
Data set 1: | cost: 46.726
Data set 1: | cost: 42.718
Data set 1: | cost: 42.999
Data set 1: | cost: 42.967
Data set 1: | cost: 55.800
Data set 1: | cost: 42.639
Data set 1: | cost: 46.706
Data set 1: | cost: 40.448
Data set 1: | cost: 47.293
Data set 1: | cost: 42.353
Data set 1: | cost: 45.412
Data set 1: | cost: 51.232
Data set 1: | cost: 44.743
Data set 1: | cost: 48.628
Data set 1: | cost: 46.779
Data set 1: | cost: 48.912
Data set 1: | cost: 44.134
Data set 1: | cost: 46.990
Data set 1: | cost: 46.881
Data set 1: | cost: 44.491
Data set 1: | cost: 49.209
Data set 1: | cost: 48.371
Data set 1: | cost: 46.033
Data set 1: | cost: 44.399
Data set 1: | cost: 44.066
Data set 1: | cost: 42.772
Data set 1: | cost: 43.516
Data set 1: | cost: 48.485
Data set 1: | cost: 47.531
DMC Parameters:
amp:21.5 tau:140 drc:0.53 bnds:70 bndsRate:0.00 bndsSaturation:0 resMean:282 resSD:31 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 384 93 1.80 315 53 0.0
incomp 440 97 7.40 341 62 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 279.3 295.1 306.3 315.2 324.2 333.6 339.9 348.0 354.1 362.2 373.1 382.9 395.6 407.6 420.0 436.5 459.1 491.0 549.0
incomp 306.1 327.2 340.0 356.3 370.6 381.4 394.3 405.1 414.2 425.2 439.1 451.0 465.8 481.5 498.2 515.0 534.4 570.6 616.6
mean 292.7 311.1 323.1 335.8 347.4 357.5 367.1 376.5 384.1 393.7 406.1 417.0 430.7 444.6 459.1 475.7 496.8 530.8 582.8
effect 26.8 32.0 33.7 41.1 46.4 47.8 54.4 57.1 60.1 63.0 65.9 68.1 70.2 73.9 78.2 78.6 75.3 79.6 67.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.960 0.970 0.985 1.000 0.995
incomp 0.775 0.915 0.960 0.995 0.985
Data set 1: | cost: 89.679
Data set 1: | cost: 94.532
Data set 1: | cost: 94.652
Data set 1: | cost: 105.629
Data set 1: | cost: 79.509
Data set 1: | cost: 71.054
Data set 1: | cost: 90.079
Data set 1: | cost: 91.298
Data set 1: | cost: 99.509
Data set 1: | cost: 64.093
Data set 1: | cost: 49.828
Data set 1: | cost: 67.330
Data set 1: | cost: 75.121
Data set 1: | cost: 63.356
Data set 1: | cost: 73.555
Data set 1: | cost: 51.570
Data set 1: | cost: 62.937
Data set 1: | cost: 47.556
Data set 1: | cost: 49.983
Data set 1: | cost: 41.917
Data set 1: | cost: 42.868
Data set 1: | cost: 34.929
Data set 1: | cost: 63.508
Data set 1: | cost: 48.472
Data set 1: | cost: 42.569
Data set 1: | cost: 29.716
Data set 1: | cost: 73.985
Data set 1: | cost: 37.490
Data set 1: | cost: 34.580
Data set 1: | cost: 40.217
Data set 1: | cost: 41.071
Data set 1: | cost: 56.693
Data set 1: | cost: 46.064
Data set 1: | cost: 43.099
Data set 1: | cost: 34.617
Data set 1: | cost: 38.347
Data set 1: | cost: 32.864
Data set 1: | cost: 42.284
Data set 1: | cost: 41.840
Data set 1: | cost: 41.998
Data set 1: | cost: 35.038
Data set 1: | cost: 43.934
Data set 1: | cost: 35.216
Data set 1: | cost: 36.320
Data set 1: | cost: 33.787
Data set 1: | cost: 37.097
Data set 1: | cost: 38.663
Data set 1: | cost: 42.652
Data set 1: | cost: 33.170
Data set 1: | cost: 31.021
Data set 1: | cost: 34.174
Data set 1: | cost: 39.135
Data set 1: | cost: 34.134
Data set 1: | cost: 32.201
Data set 1: | cost: 33.152
Data set 1: | cost: 32.561
Data set 1: | cost: 31.882
Data set 1: | cost: 30.252
Data set 1: | cost: 25.556
Data set 1: | cost: 33.569
Data set 1: | cost: 33.795
Data set 1: | cost: 31.257
Data set 1: | cost: 30.842
Data set 1: | cost: 33.470
Data set 1: | cost: 36.497
Data set 1: | cost: 28.222
Data set 1: | cost: 34.226
Data set 1: | cost: 35.369
Data set 1: | cost: 33.541
Data set 1: | cost: 25.608
Data set 1: | cost: 33.733
Data set 1: | cost: 32.310
Data set 1: | cost: 38.368
Data set 1: | cost: 32.187
Data set 1: | cost: 32.392
Data set 1: | cost: 32.444
Data set 1: | cost: 33.315
Data set 1: | cost: 32.537
Data set 1: | cost: 34.689
Data set 1: | cost: 30.351
Data set 1: | cost: 32.411
Data set 1: | cost: 33.332
Data set 1: | cost: 30.084
Data set 1: | cost: 28.290
Data set 1: | cost: 32.339
Data set 1: | cost: 33.291
Data set 1: | cost: 29.794
Data set 1: | cost: 32.489
Data set 1: | cost: 29.433
Data set 1: | cost: 39.966
Data set 1: | cost: 38.694
Data set 1: | cost: 28.477
Data set 1: | cost: 36.637
Data set 1: | cost: 31.708
Data set 1: | cost: 29.009
Data set 1: | cost: 29.697
Data set 1: | cost: 31.633
Data set 1: | cost: 32.266
Data set 1: | cost: 34.786
Data set 1: | cost: 33.155
Data set 1: | cost: 29.246
Data set 1: | cost: 33.197
Data set 1: | cost: 35.353
Data set 1: | cost: 34.596
Data set 1: | cost: 35.911
Data set 1: | cost: 32.861
Data set 1: | cost: 31.043
Data set 1: | cost: 37.768
Data set 1: | cost: 32.019
Data set 1: | cost: 33.072
Data set 1: | cost: 28.726
Data set 1: | cost: 35.356
Data set 1: | cost: 35.104
Data set 1: | cost: 26.662
Data set 1: | cost: 31.219
Data set 1: | cost: 33.745
Data set 1: | cost: 29.227
Data set 1: | cost: 36.199
Data set 1: | cost: 35.132
Data set 1: | cost: 29.484
Data set 1: | cost: 29.632
Data set 1: | cost: 29.567
Data set 1: | cost: 34.230
Data set 1: | cost: 28.073
Data set 1: | cost: 30.987
Data set 1: | cost: 28.543
Data set 1: | cost: 36.823
Data set 1: | cost: 32.450
Data set 1: | cost: 36.203
Data set 1: | cost: 29.868
Data set 1: | cost: 31.674
Data set 1: | cost: 31.161
Data set 1: | cost: 33.268
Data set 1: | cost: 29.449
Data set 1: | cost: 32.294
Data set 1: | cost: 29.957
Data set 1: | cost: 29.951
Data set 1: | cost: 32.081
Data set 1: | cost: 31.148
Data set 1: | cost: 31.739
Data set 1: | cost: 35.166
Data set 1: | cost: 34.996
Data set 1: | cost: 31.597
Data set 1: | cost: 32.717
Data set 1: | cost: 33.059
Data set 1: | cost: 38.992
Data set 1: | cost: 33.969
Data set 1: | cost: 33.817
Data set 1: | cost: 30.852
Data set 1: | cost: 38.987
Data set 1: | cost: 32.779
Data set 1: | cost: 33.081
Data set 1: | cost: 31.223
Data set 1: | cost: 25.681
Data set 1: | cost: 31.435
Data set 1: | cost: 28.552
Data set 1: | cost: 27.870
Data set 1: | cost: 30.251
Data set 1: | cost: 32.674
Data set 1: | cost: 34.519
Data set 1: | cost: 35.868
Data set 1: | cost: 35.151
Data set 1: | cost: 30.934
Data set 1: | cost: 32.760
Data set 1: | cost: 33.376
Data set 1: | cost: 29.324
Data set 1: | cost: 31.740
Data set 1: | cost: 33.006
Data set 1: | cost: 30.945
Data set 1: | cost: 32.375
Data set 1: | cost: 27.718
Data set 1: | cost: 33.668
Data set 1: | cost: 32.293
Data set 1: | cost: 31.326
Data set 1: | cost: 28.946
Data set 1: | cost: 32.760
Data set 1: | cost: 30.559
Data set 1: | cost: 30.443
Data set 1: | cost: 38.585
Data set 1: | cost: 30.839
Data set 1: | cost: 31.004
Data set 1: | cost: 33.593
Data set 1: | cost: 29.206
Data set 1: | cost: 33.402
Data set 1: | cost: 34.151
Data set 1: | cost: 35.704
Data set 1: | cost: 30.982
Data set 1: | cost: 29.730
Data set 1: | cost: 29.261
Data set 1: | cost: 31.947
Data set 1: | cost: 37.075
Data set 1: | cost: 32.016
Data set 1: | cost: 35.040
Data set 1: | cost: 33.677
Data set 1: | cost: 31.072
Data set 1: | cost: 32.641
Data set 1: | cost: 38.542
Data set 1: | cost: 33.323
Data set 1: | cost: 34.769
Data set 1: | cost: 37.222
Data set 1: | cost: 33.496
Data set 1: | cost: 37.052
Data set 1: | cost: 33.132
Data set 1: | cost: 29.100
Data set 1: | cost: 32.995
Data set 1: | cost: 37.855
Data set 1: | cost: 35.254
Data set 1: | cost: 32.098
Data set 1: | cost: 32.539
Data set 1: | cost: 32.148
Data set 1: | cost: 31.427
Data set 1: | cost: 32.501
Data set 1: | cost: 29.087
Data set 1: | cost: 30.166
Data set 1: | cost: 27.869
Data set 1: | cost: 32.612
Data set 1: | cost: 32.913
Data set 1: | cost: 35.879
Data set 1: | cost: 35.434
Data set 1: | cost: 30.827
Data set 1: | cost: 28.784
Data set 1: | cost: 29.516
Data set 1: | cost: 33.053
Data set 1: | cost: 36.145
Data set 1: | cost: 33.718
Data set 1: | cost: 30.776
Data set 1: | cost: 32.028
Data set 1: | cost: 38.419
Data set 1: | cost: 29.658
Data set 1: | cost: 28.462
Data set 1: | cost: 34.117
Data set 1: | cost: 33.021
Data set 1: | cost: 33.691
Data set 1: | cost: 34.868
Data set 1: | cost: 37.953
Data set 1: | cost: 31.772
Data set 1: | cost: 31.125
Data set 1: | cost: 27.244
Data set 1: | cost: 34.040
Data set 1: | cost: 34.659
Data set 1: | cost: 35.813
Data set 1: | cost: 35.336
Data set 1: | cost: 28.311
Data set 1: | cost: 36.589
Data set 1: | cost: 32.152
Data set 1: | cost: 35.221
Data set 1: | cost: 34.829
Data set 1: | cost: 31.791
Data set 1: | cost: 30.900
Data set 1: | cost: 34.016
Data set 1: | cost: 33.337
Data set 1: | cost: 29.779
Data set 1: | cost: 28.310
Data set 1: | cost: 26.643
Data set 1: | cost: 31.076
Data set 1: | cost: 34.911
Data set 1: | cost: 33.309
Data set 1: | cost: 32.168
Data set 1: | cost: 29.136
Data set 1: | cost: 32.409
Data set 1: | cost: 33.418
Data set 1: | cost: 35.670
Data set 1: | cost: 32.577
Data set 1: | cost: 30.836
Data set 1: | cost: 28.952
Data set 1: | cost: 31.170
Data set 1: | cost: 29.216
Data set 1: | cost: 28.436
Data set 1: | cost: 31.211
Data set 1: | cost: 29.103
Data set 1: | cost: 34.310
Data set 1: | cost: 29.069
Data set 1: | cost: 29.393
Data set 1: | cost: 32.264
Data set 1: | cost: 32.213
Data set 1: | cost: 31.576
Data set 1: | cost: 32.162
Data set 1: | cost: 33.304
Data set 1: | cost: 27.745
Data set 1: | cost: 28.116
Data set 1: | cost: 29.045
Data set 1: | cost: 31.670
Data set 1: | cost: 38.456
Data set 1: | cost: 32.569
Data set 1: | cost: 27.599
Data set 1: | cost: 32.660
Data set 1: | cost: 26.877
Data set 1: | cost: 32.240
Data set 1: | cost: 34.201
Data set 1: | cost: 31.137
Data set 1: | cost: 36.481
Data set 1: | cost: 33.083
Data set 1: | cost: 30.443
Data set 1: | cost: 32.871
Data set 1: | cost: 33.233
Data set 1: | cost: 28.440
Data set 1: | cost: 29.878
Data set 1: | cost: 31.604
Data set 1: | cost: 32.803
Data set 1: | cost: 27.671
Data set 1: | cost: 27.520
Data set 1: | cost: 28.161
Data set 1: | cost: 30.317
Data set 1: | cost: 31.645
Data set 1: | cost: 35.209
Data set 1: | cost: 31.246
Data set 1: | cost: 29.511
Data set 1: | cost: 30.132
Data set 1: | cost: 31.268
Data set 1: | cost: 33.940
Data set 1: | cost: 28.688
Data set 1: | cost: 30.334
Data set 1: | cost: 34.804
Data set 1: | cost: 31.528
Data set 1: | cost: 31.656
Data set 1: | cost: 27.647
Data set 1: | cost: 34.731
Data set 1: | cost: 29.199
Data set 1: | cost: 31.523
Data set 1: | cost: 33.381
Data set 1: | cost: 33.291
Data set 1: | cost: 29.384
Data set 1: | cost: 38.198
Data set 1: | cost: 33.827
Data set 1: | cost: 32.672
Data set 1: | cost: 32.184
Data set 1: | cost: 32.766
Data set 1: | cost: 32.111
Data set 1: | cost: 34.237
Data set 1: | cost: 38.644
Data set 1: | cost: 34.705
Data set 1: | cost: 42.146
Data set 1: | cost: 33.001
Data set 1: | cost: 30.649
Data set 1: | cost: 34.445
Data set 1: | cost: 32.969
Data set 1: | cost: 32.914
Data set 1: | cost: 32.843
Data set 1: | cost: 28.585
Data set 1: | cost: 28.873
Data set 1: | cost: 32.174
Data set 1: | cost: 26.243
Data set 1: | cost: 37.250
Data set 1: | cost: 34.394
Data set 1: | cost: 35.746
Data set 1: | cost: 32.081
Data set 1: | cost: 28.252
Data set 1: | cost: 34.676
Data set 1: | cost: 32.696
Data set 1: | cost: 29.114
Data set 1: | cost: 38.226
Data set 1: | cost: 34.318
Data set 1: | cost: 30.434
Data set 1: | cost: 33.127
Data set 1: | cost: 33.746
Data set 1: | cost: 33.092
Data set 1: | cost: 31.278
Data set 1: | cost: 31.654
Data set 1: | cost: 29.337
Data set 1: | cost: 32.838
Data set 1: | cost: 31.265
Data set 1: | cost: 31.131
Data set 1: | cost: 27.637
Data set 1: | cost: 31.687
Data set 1: | cost: 28.773
Data set 1: | cost: 31.744
Data set 1: | cost: 29.491
Data set 1: | cost: 29.710
Data set 1: | cost: 30.343
Data set 1: | cost: 32.425
Data set 1: | cost: 36.102
Data set 1: | cost: 31.211
Data set 1: | cost: 32.450
Data set 1: | cost: 28.950
Data set 1: | cost: 29.502
Data set 1: | cost: 31.171
Data set 1: | cost: 34.058
Data set 1: | cost: 31.545
Data set 1: | cost: 30.896
Data set 1: | cost: 33.731
Data set 1: | cost: 33.197
Data set 1: | cost: 30.904
Data set 1: | cost: 32.908
Data set 1: | cost: 33.451
Data set 1: | cost: 32.561
Data set 1: | cost: 34.790
Data set 1: | cost: 30.736
Data set 1: | cost: 33.759
Data set 1: | cost: 31.004
Data set 1: | cost: 30.731
Data set 1: | cost: 34.870
Data set 1: | cost: 28.129
Data set 1: | cost: 35.146
Data set 1: | cost: 28.195
Data set 1: | cost: 32.556
Data set 1: | cost: 32.012
Data set 1: | cost: 34.676
Data set 1: | cost: 33.982
Data set 1: | cost: 29.783
Data set 1: | cost: 33.284
Data set 1: | cost: 29.841
Data set 1: | cost: 31.283
Data set 1: | cost: 33.477
Data set 1: | cost: 31.212
Data set 1: | cost: 33.712
Data set 1: | cost: 27.957
Data set 1: | cost: 30.188
Data set 1: | cost: 29.576
Data set 1: | cost: 30.465
Data set 1: | cost: 32.147
Data set 1: | cost: 32.021
Data set 1: | cost: 29.016
Data set 1: | cost: 29.264
Data set 1: | cost: 32.739
Data set 1: | cost: 31.897
Data set 1: | cost: 28.424
Data set 1: | cost: 29.788
Data set 1: | cost: 30.733
Data set 1: | cost: 34.830
Data set 1: | cost: 30.996
Data set 1: | cost: 29.452
Data set 1: | cost: 29.997
Data set 1: | cost: 34.480
Data set 1: | cost: 37.051
Data set 1: | cost: 33.611
Data set 1: | cost: 29.066
Data set 1: | cost: 28.339
Data set 1: | cost: 29.221
Data set 1: | cost: 33.138
Data set 1: | cost: 32.533
Data set 1: | cost: 33.041
Data set 1: | cost: 31.227
Data set 1: | cost: 33.447
Data set 1: | cost: 26.658
Data set 1: | cost: 34.092
Data set 1: | cost: 29.465
Data set 1: | cost: 30.430
Data set 1: | cost: 36.606
Data set 1: | cost: 30.983
Data set 1: | cost: 30.012
Data set 1: | cost: 30.348
Data set 1: | cost: 30.049
Data set 1: | cost: 31.390
Data set 1: | cost: 27.463
Data set 1: | cost: 31.336
Data set 1: | cost: 33.242
Data set 1: | cost: 31.587
Data set 1: | cost: 32.668
Data set 1: | cost: 32.194
Data set 1: | cost: 32.047
Data set 1: | cost: 37.350
Data set 1: | cost: 32.514
Data set 1: | cost: 30.671
Data set 1: | cost: 30.099
Data set 1: | cost: 31.790
Data set 1: | cost: 29.477
Data set 1: | cost: 29.612
Data set 1: | cost: 33.452
Data set 1: | cost: 34.365
Data set 1: | cost: 34.434
Data set 1: | cost: 31.450
Data set 1: | cost: 35.091
Data set 1: | cost: 30.684
Data set 1: | cost: 30.148
Data set 1: | cost: 30.402
Data set 1: | cost: 30.366
Data set 1: | cost: 37.211
Data set 1: | cost: 32.456
Data set 1: | cost: 28.780
Data set 1: | cost: 29.576
Data set 1: | cost: 34.132
Data set 1: | cost: 33.103
Data set 1: | cost: 32.864
Data set 1: | cost: 42.761
Data set 1: | cost: 30.628
Data set 1: | cost: 36.243
Data set 1: | cost: 29.336
Data set 1: | cost: 33.482
Data set 1: | cost: 34.306
Data set 1: | cost: 31.380
Data set 1: | cost: 31.115
Data set 1: | cost: 31.359
Data set 1: | cost: 26.968
Data set 1: | cost: 31.754
Data set 1: | cost: 35.552
Data set 1: | cost: 38.387
Data set 1: | cost: 27.633
Data set 1: | cost: 27.220
Data set 1: | cost: 30.407
Data set 1: | cost: 30.846
Data set 1: | cost: 32.883
Data set 1: | cost: 33.986
Data set 1: | cost: 29.824
Data set 1: | cost: 32.548
Data set 1: | cost: 32.172
Data set 1: | cost: 35.442
Data set 1: | cost: 32.477
Data set 1: | cost: 32.320
Data set 1: | cost: 32.740
Data set 1: | cost: 31.818
Data set 1: | cost: 31.093
Data set 1: | cost: 32.509
Data set 1: | cost: 31.501
Data set 1: | cost: 29.764
Data set 1: | cost: 32.677
DMC Parameters:
amp:20.1 tau:266 drc:0.36 bnds:87 bndsRate:0.00 bndsSaturation:0 resMean:323 resSD:32 aaShape:2.2 spShape:2.8 spBias:0.0 sigm:4.0
Results Summary:
rtCor sdRtCor perErr rtErr sdRtErr perSlow
comp 509 152 3.10 418 121 0.0
incomp 578 174 7.50 432 106 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 339.1 360.7 377.3 393.0 406.0 417.9 428.6 440.4 455.0 468.3 484.5 500.9 522.8 543.9 578.6 611.3 651.5 697.8 802.6
incomp 356.9 392.1 408.8 430.0 447.5 464.7 482.3 500.6 527.0 544.0 566.3 584.8 610.9 640.7 681.2 713.9 763.5 824.6 921.1
mean 348.0 376.4 393.0 411.5 426.8 441.3 455.5 470.5 491.0 506.1 525.4 542.8 566.9 592.3 629.9 662.6 707.5 761.2 861.8
effect 17.8 31.3 31.5 36.9 41.5 46.7 53.7 60.2 72.0 75.7 81.7 83.9 88.1 96.8 102.6 102.6 112.0 126.8 118.6
CAF Values:
0-20% 20-40% 40-60% 60-80% 80-100%
comp 0.920 0.955 0.995 0.990 0.985
incomp 0.820 0.880 0.955 0.975 0.995
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 180 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-dmcFit.R:51:3'): dmcFit ────────────────────────────────────────
Error in `unserialize(node$con)`: error reading from connection '<-localhost:11750'
Backtrace:
▆
1. ├─DMCfun::dmcFitSubjectDE(...) at test-dmcFit.R:51:3
2. │ └─DMCfun::dmcFitDE(...)
3. │ └─DEoptim::DEoptim(...)
4. └─DEoptim (local) `<fn>`(`<dbl[,8]>`, ...)
5. └─parallel::parApply(...)
6. └─parallel::parLapply(cl = cl, X = arglist, fun = FUN, ..., chunk.size = chunk.size)
7. ├─base::do.call(...)
8. └─parallel::clusterApply(...)
9. └─parallel:::staticClusterApply(cl, fun, length(x), argfun)
10. └─base::lapply(cl[1:jobs], recvResult)
11. └─parallel (local) FUN(X[[i]], ...)
12. ├─parallel::recvData(con)
13. └─parallel:::recvData.SOCKnode(con)
14. └─base::unserialize(node$con)
[ FAIL 1 | WARN 0 | SKIP 0 | PASS 180 ]
Error:
! Test failures.
Warning messages:
1: In for (call in calls) { :
closing unused connection 6 (<-localhost:11750)
2: In for (call in calls) { :
closing unused connection 5 (<-localhost:11750)
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc