CRAN Package Check Results for Package DMCfun

Last updated on 2025-03-10 18:52:35 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 4.0.1 27.91 127.73 155.64 OK
r-devel-linux-x86_64-debian-gcc 4.0.1 22.40 88.51 110.91 OK
r-devel-linux-x86_64-fedora-clang 4.0.1 253.03 OK
r-devel-linux-x86_64-fedora-gcc 4.0.1 ERROR
r-devel-macos-arm64 4.0.1 119.00 OK
r-devel-macos-x86_64 4.0.1 163.00 OK
r-devel-windows-x86_64 4.0.1 37.00 197.00 234.00 OK
r-patched-linux-x86_64 4.0.1 30.42 120.73 151.15 OK
r-release-linux-x86_64 4.0.1 31.42 115.78 147.20 OK
r-release-macos-arm64 4.0.1 116.00 OK
r-release-macos-x86_64 4.0.1 190.00 OK
r-release-windows-x86_64 4.0.1 36.00 197.00 233.00 OK
r-oldrel-macos-arm64 4.0.1 OK
r-oldrel-macos-x86_64 4.0.1 135.00 OK
r-oldrel-windows-x86_64 4.0.1 42.00 249.00 291.00 OK

Check Details

Version: 4.0.1
Check: tests
Result: ERROR Running ‘testthat.R’ [92s/303s] 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 97 0.0 incomp 459 95 1.33 403 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 331.7 354.7 374.9 395.2 417.4 442.6 473.3 513.6 578.8 incomp 363.6 386.0 403.6 420.7 438.8 459.1 484.4 519.2 579.3 mean 347.7 370.4 389.3 407.9 428.1 450.9 478.9 516.4 579.1 effect 31.9 31.3 28.7 25.4 21.4 16.4 11.1 5.6 0.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.991 0.990 0.992 incomp 0.965 0.990 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 0.67 476 96 0.0 incomp 458 95 1.34 404 93 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.4 354.7 374.6 395.0 416.9 441.9 472.1 512.0 577.2 incomp 363.5 385.6 403.3 420.5 438.4 458.2 482.9 517.6 578.0 mean 347.5 370.2 388.9 407.7 427.7 450.1 477.5 514.8 577.6 effect 32.1 30.8 28.6 25.5 21.4 16.3 10.9 5.6 0.8 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.992 0.990 0.991 incomp 0.965 0.989 0.993 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 0.64 477 93 0.0 incomp 459 95 1.30 404 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 331.6 355.0 375.1 395.1 417.1 442.1 472.7 513.0 578.2 incomp 363.8 385.9 403.8 420.6 438.4 458.5 483.5 518.6 579.4 mean 347.7 370.4 389.5 407.8 427.7 450.3 478.1 515.8 578.8 effect 32.2 30.9 28.7 25.5 21.3 16.4 10.8 5.6 1.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.995 0.992 0.991 0.991 incomp 0.965 0.990 0.993 0.993 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 0.27 496 116 0.0 incomp 484 102 2.23 422 81 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 334.6 354.5 370.5 385.4 400.8 418.2 440.4 471.8 529.6 incomp 371.8 399.5 422.1 443.8 466.3 490.7 519.7 557.9 618.5 mean 353.2 377.0 396.3 414.6 433.5 454.4 480.0 514.8 574.0 effect 37.2 45.0 51.7 58.4 65.5 72.5 79.3 86.1 88.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.999 0.998 0.997 0.993 incomp 0.950 0.974 0.982 0.990 0.994 Data set 1: | cost: 44.740 Data set 1: | cost: 38.704 Data set 1: | cost: 38.343 Data set 1: | cost: 28.893 Data set 1: | cost: 56.240 Data set 1: | cost: 56.443 Data set 1: | cost: 34.188 Data set 1: | cost: 37.095 Data set 1: | cost: 41.716 Data set 1: | cost: 31.511 Data set 1: | cost: 37.800 Data set 1: | cost: 22.764 Data set 1: | cost: 22.506 Data set 1: | cost: 25.120 Data set 1: | cost: 26.103 Data set 1: | cost: 26.229 Data set 1: | cost: 23.373 Data set 1: | cost: 25.810 Data set 1: | cost: 28.936 Data set 1: | cost: 24.591 Data set 1: | cost: 24.807 DMC Parameters: amp:20.9 tau:113 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 378 82 2.60 365 99 0.0 incomp 427 91 11.30 350 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 280.6 297.6 309.7 319.2 326.0 332.4 338.3 345.8 352.0 359.5 369.7 378.5 387.6 396.6 407.7 423.7 446.0 473.4 535.8 incomp 300.5 326.0 338.0 350.4 362.8 372.7 382.6 394.0 403.9 414.6 426.7 438.8 450.0 463.1 476.7 496.5 515.6 547.4 582.2 mean 290.5 311.8 323.8 334.8 344.4 352.6 360.5 369.9 377.9 387.0 398.2 408.7 418.8 429.9 442.2 460.1 480.8 510.4 559.0 effect 19.9 28.4 28.2 31.3 36.8 40.3 44.3 48.3 51.8 55.1 57.0 60.3 62.4 66.5 69.1 72.8 69.6 74.0 46.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.955 0.970 0.985 0.995 0.965 incomp 0.695 0.875 0.945 0.945 0.975 Data set 1: | cost: 53.570 Data set 1: | cost: 48.036 Data set 1: | cost: 57.271 Data set 1: | cost: 41.236 Data set 1: | cost: 66.397 Data set 1: | cost: 67.599 Data set 1: | cost: 54.275 Data set 1: | cost: 58.006 Data set 1: | cost: 45.709 Data set 1: | cost: 41.074 Data set 1: | cost: 45.422 Data set 1: | cost: 34.519 Data set 1: | cost: 27.909 Data set 1: | cost: 33.009 Data set 1: | cost: 40.087 Data set 1: | cost: 36.119 Data set 1: | cost: 40.291 Data set 1: | cost: 33.046 Data set 1: | cost: 39.462 Data set 1: | cost: 36.156 Data set 1: | cost: 33.141 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 72 2.40 345 65 0.0 incomp 422 96 7.10 358 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 286.7 303.5 312.8 323.0 332.0 338.6 346.2 353.3 363.5 370.3 377.6 386.8 395.9 404.6 414.6 429.0 448.0 477.4 519.0 incomp 295.5 313.7 327.1 342.9 353.0 363.6 373.4 381.7 392.6 405.4 419.4 434.0 447.8 459.8 479.5 495.0 520.1 550.6 590.8 mean 291.1 308.6 319.9 332.9 342.5 351.1 359.8 367.5 378.0 387.9 398.5 410.4 421.9 432.2 447.1 462.0 484.0 514.0 554.9 effect 8.8 10.2 14.3 20.0 21.0 24.9 27.2 28.4 29.0 35.1 41.8 47.3 51.9 55.3 64.9 66.0 72.1 73.2 71.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.955 0.965 0.980 0.990 0.990 incomp 0.865 0.885 0.935 0.965 0.995 Data set 1: | cost: 0.146 Data set 1: | cost: 0.086 Data set 1: | cost: 0.079 Data set 1: | cost: 0.209 Data set 1: | cost: 0.474 Data set 1: | cost: 0.102 Data set 1: | cost: 0.080 Data set 1: | cost: 0.354 Data set 1: | cost: 0.155 Data set 1: | cost: 0.119 Data set 1: | cost: 0.083 Data set 1: | cost: 0.115 Data set 1: | cost: 0.091 Data set 1: | cost: 0.066 Data set 1: | cost: 0.079 Data set 1: | cost: 0.067 Data set 1: | cost: 0.060 Data set 1: | cost: 0.074 Data set 1: | cost: 0.079 Data set 1: | cost: 0.071 Data set 1: | cost: 0.085 DMC Parameters: amp:21.0 tau:48 drc:0.60 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:301 resSD:29 aaShape:2.5 spShape:3.2 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 398 89 0.90 352 77 0.0 incomp 437 80 5.80 339 46 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 295.7 309.4 320.3 329.6 336.1 343.6 352.1 361.0 369.4 377.7 385.7 396.4 408.7 419.3 432.2 454.2 481.5 520.6 583.3 incomp 322.2 344.7 358.3 371.7 382.3 393.4 401.0 411.0 419.9 427.8 437.9 447.0 458.1 467.0 479.3 492.8 511.9 538.2 583.7 mean 308.9 327.0 339.3 350.7 359.2 368.5 376.5 386.0 394.6 402.7 411.8 421.7 433.4 443.2 455.8 473.5 496.7 529.4 583.5 effect 26.5 35.3 38.0 42.2 46.2 49.9 48.9 50.0 50.5 50.1 52.2 50.5 49.4 47.7 47.1 38.7 30.4 17.6 0.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.975 0.995 0.990 1.000 0.995 incomp 0.775 0.960 0.990 0.985 1.000 Data set 1: | cost: 45.862 Data set 1: | cost: 46.674 Data set 1: | cost: 42.451 Data set 1: | cost: 30.953 Data set 1: | cost: 52.886 Data set 1: | cost: 62.422 Data set 1: | cost: 49.880 Data set 1: | cost: 42.542 Data set 1: | cost: 42.838 Data set 1: | cost: 43.547 Data set 1: | cost: 44.694 Data set 1: | cost: 38.829 Data set 1: | cost: 38.196 Data set 1: | cost: 41.463 Data set 1: | cost: 45.748 Data set 1: | cost: 36.234 Data set 1: | cost: 36.298 Data set 1: | cost: 36.252 Data set 1: | cost: 38.514 Data set 1: | cost: 44.246 Data set 1: | cost: 41.088 DMC Parameters: amp:20.0 tau:202 drc:0.55 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 414 87 1.30 379 96 0.0 incomp 469 111 5.00 363 64 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 307.7 321.2 335.2 344.6 356.0 363.9 371.3 381.2 392.2 399.9 408.8 416.8 428.8 439.6 454.4 472.3 495.9 528.9 576.3 incomp 321.8 343.6 359.2 374.3 390.1 404.4 414.8 427.0 437.7 452.4 464.6 478.6 494.6 513.3 534.1 553.5 576.6 615.2 670.6 mean 314.8 332.4 347.2 359.4 373.1 384.2 393.1 404.1 415.0 426.1 436.7 447.7 461.7 476.4 494.2 512.9 536.2 572.1 623.4 effect 14.1 22.4 24.0 29.6 34.1 40.5 43.5 45.8 45.4 52.5 55.8 61.8 65.9 73.7 79.7 81.2 80.8 86.4 94.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.985 0.990 1.000 0.990 incomp 0.850 0.945 0.970 0.985 1.000 Data set 1: | cost: 68.434 Data set 1: | cost: 66.560 Data set 1: | cost: 68.135 Data set 1: | cost: 62.785 Data set 1: | cost: 86.624 Data set 1: | cost: 93.681 Data set 1: | cost: 72.954 Data set 1: | cost: 70.856 Data set 1: | cost: 70.569 Data set 1: | cost: 54.412 Data set 1: | cost: 40.102 Data set 1: | cost: 46.646 Data set 1: | cost: 55.045 Data set 1: | cost: 50.403 Data set 1: | cost: 57.285 Data set 1: | cost: 51.083 Data set 1: | cost: 54.656 Data set 1: | cost: 41.671 Data set 1: | cost: 51.452 Data set 1: | cost: 40.659 Data set 1: | cost: 46.032 DMC Parameters: amp:20.7 tau:78 drc:0.52 bnds:78 bndsRate:0.00 bndsSaturation:0 resMean:240 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 364 110 1.00 345 77 0.0 incomp 403 98 7.00 298 81 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 240.8 260.3 273.1 281.4 291.0 300.0 308.1 316.8 327.8 337.8 348.2 360.4 372.9 387.7 405.7 427.2 462.3 504.3 569.7 incomp 273.3 294.6 308.7 322.4 334.5 345.6 359.2 370.5 379.5 392.2 402.4 412.8 422.5 437.3 452.4 472.3 491.1 522.9 582.0 mean 257.0 277.4 290.9 301.9 312.7 322.8 333.7 343.6 353.6 365.0 375.3 386.6 397.7 412.5 429.0 449.7 476.7 513.6 575.9 effect 32.5 34.4 35.7 41.0 43.5 45.7 51.1 53.8 51.7 54.4 54.2 52.3 49.6 49.5 46.7 45.0 28.8 18.6 12.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.995 0.980 1.000 0.980 0.995 incomp 0.740 0.945 0.985 0.990 0.990 Data set 1: | cost: 0.166 Data set 1: | cost: 0.194 Data set 1: | cost: 0.208 Data set 1: | cost: 0.210 Data set 1: | cost: 0.273 Data set 1: | cost: 0.172 Data set 1: | cost: 0.154 Data set 1: | cost: 0.582 Data set 1: | cost: 0.178 Data set 1: | cost: 0.168 Data set 1: | cost: 0.152 Data set 1: | cost: 0.159 Data set 1: | cost: 0.150 Data set 1: | cost: 0.151 Data set 1: | cost: 0.200 Data set 1: | cost: 0.251 Data set 1: | cost: 0.182 Data set 1: | cost: 0.174 Data set 1: | cost: 0.160 Data set 1: | cost: 0.187 Data set 1: | cost: 0.156 Data set 1: | cost: 0.159 Data set 1: | cost: 0.167 Data set 1: | cost: 0.138 Data set 1: | cost: 0.160 DMC Parameters: amp:20.7 tau:62 drc:0.60 bnds:74 bndsRate:0.00 bndsSaturation:0 resMean:305 resSD:31 aaShape:2.5 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 403 87 0.70 376 84 0.0 incomp 456 86 4.40 344 39 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 305.5 317.5 326.8 336.9 342.8 350.6 359.5 368.1 376.1 385.2 392.0 402.1 414.5 426.5 439.7 456.3 475.0 508.3 563.8 incomp 329.9 358.1 374.1 383.2 394.4 405.2 415.4 426.1 435.5 444.9 458.2 468.0 479.5 492.8 506.3 525.3 544.0 569.4 608.0 mean 317.7 337.8 350.4 360.1 368.6 377.9 387.4 397.1 405.8 415.1 425.1 435.1 447.0 459.7 473.0 490.8 509.5 538.9 585.9 effect 24.4 40.6 47.3 46.3 51.6 54.6 56.0 58.0 59.4 59.6 66.2 65.9 65.0 66.4 66.6 69.0 69.0 61.2 44.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.990 0.990 0.990 1.000 0.995 incomp 0.825 0.955 1.000 1.000 1.000 Data set 1: | cost: 1.174 Data set 1: | cost: 0.958 Data set 1: | cost: 1.055 Data set 1: | cost: 1.594 Data set 1: | cost: 2.579 Data set 1: | cost: 1.117 Data set 1: | cost: 1.174 Data set 1: | cost: 0.499 Data set 1: | cost: 0.348 Data set 1: | cost: 0.291 Data set 1: | cost: 0.132 Data set 1: | cost: 0.310 Data set 1: | cost: 0.388 Data set 1: | cost: 0.212 Data set 1: | cost: 0.252 Data set 1: | cost: 0.261 Data set 1: | cost: 0.228 Data set 1: | cost: 0.678 Data set 1: | cost: 0.267 Data set 1: | cost: 1.396 Data set 1: | cost: 0.384 DMC Parameters: amp:21.5 tau:86 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 352 68 1.90 340 94 0.0 incomp 398 90 6.70 323 51 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 263.5 277.5 289.7 297.2 306.3 315.2 321.9 329.4 334.8 343.2 349.8 358.7 366.9 374.1 384.4 395.9 415.1 434.8 485.1 incomp 276.1 293.4 307.1 321.0 331.5 342.8 351.8 364.8 377.1 387.2 400.0 411.3 425.1 436.1 449.9 467.6 486.3 514.5 557.7 mean 269.8 285.5 298.4 309.1 318.9 329.0 336.9 347.1 355.9 365.2 374.9 385.0 396.0 405.1 417.2 431.7 450.7 474.6 521.4 effect 12.6 15.9 17.5 23.8 25.2 27.6 29.9 35.4 42.4 43.9 50.1 52.6 58.2 62.0 65.5 71.7 71.1 79.6 72.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.970 0.990 1.000 0.975 incomp 0.845 0.895 0.955 0.970 1.000 Iteration: 1 bestvalit: 36.408831 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727 Iteration: 2 bestvalit: 35.962427 bestmemit: 24.370465 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727 Iteration: 3 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 4 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 5 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 6 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 7 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 8 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 9 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 10 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 11 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 12 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 13 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 14 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 15 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 16 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 17 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 18 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 19 bestvalit: 19.362453 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 20 bestvalit: 19.362453 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 401 79 1.80 354 75 0.0 incomp 442 92 5.60 358 42 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 302.7 317.0 328.7 339.4 348.5 356.7 365.8 372.7 383.2 389.7 396.6 403.9 414.3 425.8 436.8 451.0 469.2 494.1 540.3 incomp 315.3 339.3 354.0 367.7 377.8 389.9 398.8 409.5 418.8 429.9 441.7 452.0 464.9 476.0 490.6 507.3 528.7 556.8 616.8 mean 309.0 328.1 341.3 353.5 363.1 373.3 382.3 391.1 401.0 409.8 419.1 428.0 439.6 450.9 463.7 479.1 499.0 525.4 578.5 effect 12.6 22.3 25.2 28.3 29.3 33.2 33.0 36.8 35.6 40.2 45.0 48.1 50.5 50.1 53.8 56.2 59.5 62.8 76.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.955 0.980 0.990 0.995 0.990 incomp 0.840 0.915 0.970 1.000 0.995 Iteration: 1 bestvalit: 0.309551 bestmemit: 23.395539 180.806041 0.828875 73.974456 338.352934 34.662538 1.709934 3.098264 Iteration: 2 bestvalit: 0.309551 bestmemit: 23.395539 180.806041 0.828875 73.974456 338.352934 34.662538 1.709934 3.098264 Iteration: 3 bestvalit: 0.192495 bestmemit: 15.271298 223.097587 0.699169 29.552773 360.532724 66.530101 2.379418 2.601087 Iteration: 4 bestvalit: 0.153279 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 5 bestvalit: 0.153279 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 6 bestvalit: 0.153279 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 7 bestvalit: 0.153279 bestmemit: 13.101573 223.097587 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 8 bestvalit: 0.145910 bestmemit: 13.101573 185.301628 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 9 bestvalit: 0.145910 bestmemit: 13.101573 185.301628 0.699169 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 10 bestvalit: 0.136335 bestmemit: 22.177096 156.473011 0.704754 62.765135 303.272745 39.139899 1.849209 2.806445 Iteration: 11 bestvalit: 0.129105 bestmemit: 13.101573 229.040679 0.789628 29.552773 360.532724 66.530101 1.703208 2.523942 Iteration: 12 bestvalit: 0.123221 bestmemit: 22.440988 266.812222 0.599375 37.966213 352.581128 61.133205 2.343401 2.577867 Iteration: 13 bestvalit: 0.123221 bestmemit: 22.440988 266.812222 0.599375 37.966213 352.581128 61.133205 2.343401 2.577867 Iteration: 14 bestvalit: 0.123221 bestmemit: 22.440988 266.812222 0.599375 37.966213 352.581128 61.133205 2.343401 2.577867 Iteration: 15 bestvalit: 0.120580 bestmemit: 33.414049 39.992255 0.641745 56.105023 334.134209 45.042012 1.385704 2.959137 Iteration: 16 bestvalit: 0.082842 bestmemit: 33.414049 114.777199 0.802694 56.105023 334.134209 45.042012 1.385704 2.959137 Iteration: 17 bestvalit: 0.082842 bestmemit: 33.414049 114.777199 0.802694 56.105023 334.134209 45.042012 1.385704 2.959137 Iteration: 18 bestvalit: 0.082842 bestmemit: 33.414049 114.777199 0.802694 56.105023 334.134209 45.042012 1.385704 2.959137 Iteration: 19 bestvalit: 0.082842 bestmemit: 33.414049 114.777199 0.802694 56.105023 334.134209 45.042012 1.385704 2.959137 Iteration: 20 bestvalit: 0.082842 bestmemit: 33.414049 114.777199 0.802694 56.105023 334.134209 45.042012 1.385704 2.959137 DMC Parameters: amp:33.4 tau:115 drc:0.80 bnds:56 bndsRate:0.00 bndsSaturation:0 resMean:334 resSD:45 aaShape:1.4 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 384 66 0.40 383 56 0.0 incomp 418 63 9.20 355 49 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 291.9 310.5 323.0 331.5 340.9 349.1 356.9 363.5 370.4 376.9 383.6 391.2 399.9 408.7 416.6 428.7 441.3 460.5 496.5 incomp 319.9 340.2 354.0 364.3 373.1 381.2 389.3 397.9 407.1 414.2 422.2 430.6 437.8 447.6 454.8 466.6 480.0 498.3 530.6 mean 305.9 325.3 338.5 347.9 357.0 365.1 373.1 380.7 388.8 395.6 402.9 410.9 418.9 428.2 435.7 447.6 460.6 479.4 513.6 effect 28.0 29.7 31.0 32.9 32.2 32.1 32.4 34.4 36.7 37.3 38.6 39.4 38.0 38.8 38.1 38.0 38.7 37.8 34.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.995 1.000 0.995 0.995 0.995 incomp 0.755 0.870 0.965 0.960 0.990 Iteration: 1 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 2 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 3 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 4 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 5 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 6 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 7 bestvalit: 22.929607 bestmemit: 1.673432 53.069178 0.594211 48.591791 337.590029 28.918633 1.600905 3.764003 Iteration: 8 bestvalit: 21.196442 bestmemit: 22.868194 56.560044 0.931334 87.841812 343.441268 22.791211 2.180881 3.105490 Iteration: 9 bestvalit: 21.196442 bestmemit: 22.868194 56.560044 0.931334 87.841812 343.441268 22.791211 2.180881 3.105490 Iteration: 10 bestvalit: 21.196442 bestmemit: 22.868194 56.560044 0.931334 87.841812 343.441268 22.791211 2.180881 3.105490 Iteration: 11 bestvalit: 21.187640 bestmemit: 5.036960 248.245063 0.736100 47.522823 364.736513 47.977879 1.115518 3.212597 Iteration: 12 bestvalit: 19.103140 bestmemit: 13.757151 31.877664 0.847942 76.403078 332.203144 42.763261 2.316061 2.379859 Iteration: 13 bestvalit: 19.103140 bestmemit: 13.757151 31.877664 0.847942 76.403078 332.203144 42.763261 2.316061 2.379859 Iteration: 14 bestvalit: 19.103140 bestmemit: 13.757151 31.877664 0.847942 76.403078 332.203144 42.763261 2.316061 2.379859 Iteration: 15 bestvalit: 19.103140 bestmemit: 13.757151 31.877664 0.847942 76.403078 332.203144 42.763261 2.316061 2.379859 Iteration: 16 bestvalit: 18.443164 bestmemit: 13.757151 31.877664 0.847942 72.673872 332.203144 42.763261 2.316061 2.379859 Iteration: 17 bestvalit: 18.443164 bestmemit: 13.757151 31.877664 0.847942 72.673872 332.203144 42.763261 2.316061 2.379859 Iteration: 18 bestvalit: 18.443164 bestmemit: 13.757151 31.877664 0.847942 72.673872 332.203144 42.763261 2.316061 2.379859 Iteration: 19 bestvalit: 18.443164 bestmemit: 13.757151 31.877664 0.847942 72.673872 332.203144 42.763261 2.316061 2.379859 Iteration: 20 bestvalit: 18.443164 bestmemit: 13.757151 31.877664 0.847942 72.673872 332.203144 42.763261 2.316061 2.379859 DMC Parameters: amp:13.8 tau:32 drc:0.85 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:332 resSD:43 aaShape:2.3 spShape:2.4 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 411 69 0.60 332 80 0.0 incomp 428 64 3.00 354 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 313.6 328.3 341.5 351.2 363.4 371.7 380.7 387.4 395.5 403.1 412.0 421.4 432.0 440.9 456.0 469.8 485.4 507.3 533.9 incomp 328.7 346.8 363.4 375.3 383.5 393.8 401.8 410.1 417.6 426.1 432.8 442.3 451.2 459.1 470.3 482.6 495.0 509.6 536.9 mean 321.1 337.6 352.4 363.3 373.4 382.8 391.2 398.8 406.6 414.6 422.4 431.8 441.6 450.0 463.1 476.2 490.2 508.5 535.4 effect 15.1 18.5 21.9 24.0 20.1 22.1 21.1 22.8 22.1 23.1 20.8 20.8 19.2 18.2 14.3 12.8 9.6 2.3 3.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.995 1.000 0.995 1.000 incomp 0.895 0.975 0.990 0.990 1.000 Iteration: 1 bestvalit: 31.634609 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 36.478519 2.892497 2.675702 Iteration: 2 bestvalit: 31.634609 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 36.478519 2.892497 2.675702 Iteration: 3 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 4 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 5 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 6 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 7 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 8 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 9 bestvalit: 29.681624 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 53.995241 2.312515 2.675702 Iteration: 10 bestvalit: 28.100635 bestmemit: 13.516703 96.784496 0.754802 70.379436 275.836253 9.582773 2.391278 2.969566 Iteration: 11 bestvalit: 28.100635 bestmemit: 13.516703 96.784496 0.754802 70.379436 275.836253 9.582773 2.391278 2.969566 Iteration: 12 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 13 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 14 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 15 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 16 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 17 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 18 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 19 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 Iteration: 20 bestvalit: 24.858254 bestmemit: 19.454226 145.332789 0.602727 52.384477 272.409241 19.886447 1.974761 2.813892 DMC Parameters: amp:19.5 tau:145 drc:0.60 bnds:52 bndsRate:0.00 bndsSaturation:0 resMean:272 resSD:20 aaShape:2.0 spShape:2.8 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 341 58 2.10 341 72 0.0 incomp 380 69 9.60 324 46 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 273.6 282.4 291.2 296.8 301.5 307.3 312.3 318.4 323.8 330.8 336.6 340.9 349.1 358.0 365.2 376.3 390.9 410.1 448.0 incomp 290.2 301.8 310.5 319.5 327.0 334.6 342.7 350.2 358.5 367.0 377.7 387.4 397.8 410.9 424.5 438.0 452.9 472.3 518.4 mean 281.9 292.1 300.9 308.1 314.3 320.9 327.5 334.3 341.2 348.9 357.2 364.2 373.5 384.4 394.9 407.2 421.9 441.2 483.2 effect 16.6 19.3 19.3 22.7 25.5 27.3 30.4 31.8 34.7 36.2 41.1 46.5 48.7 52.9 59.3 61.7 62.0 62.2 70.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.975 0.960 0.990 0.995 0.975 incomp 0.790 0.835 0.940 0.970 0.985 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 0.65 478 109 0.0 incomp 458 94 1.31 406 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 331.5 354.7 374.6 395.0 417.1 442.2 472.5 512.8 577.9 incomp 363.7 385.9 403.5 420.3 438.1 458.2 483.7 518.9 579.2 mean 347.6 370.3 389.1 407.7 427.6 450.2 478.1 515.8 578.6 effect 32.3 31.2 29.0 25.3 21.0 16.1 11.2 6.0 1.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.991 0.990 0.991 incomp 0.966 0.990 0.992 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 0.70 475 97 0.0 incomp 459 95 1.30 408 98 0.0 Delta Values (Correct): 10.0% 30.0% 50.0% 70.0% 90.0% comp 332.2 374.8 417.2 472.7 577.9 incomp 363.5 403.5 438.3 483.7 579.4 mean 347.8 389.2 427.8 478.2 578.7 effect 31.3 28.7 21.1 11.0 1.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.990 0.990 0.991 incomp 0.967 0.989 0.993 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 0.67 479 104 0.0 incomp 459 94 1.35 401 90 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.7 354.6 374.8 394.8 417.1 442.6 472.9 513.3 578.5 incomp 363.5 385.7 403.4 420.6 438.3 458.8 483.8 519.4 580.0 mean 347.6 370.1 389.1 407.7 427.7 450.7 478.4 516.4 579.3 effect 31.8 31.1 28.7 25.8 21.2 16.2 10.9 6.0 1.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.991 0.990 incomp 0.964 0.990 0.993 0.993 0.993 Data set 1: | cost: 41.961 Data set 1: | cost: 38.794 Data set 1: | cost: 41.679 Data set 1: | cost: 33.764 Data set 1: | cost: 53.095 Data set 1: | cost: 55.552 Data set 1: | cost: 39.921 Data set 1: | cost: 41.737 Data set 1: | cost: 39.709 Data set 1: | cost: 34.284 Data set 1: | cost: 34.959 Data set 1: | cost: 26.351 Data set 1: | cost: 21.916 Data set 1: | cost: 27.639 Data set 1: | cost: 28.714 Data set 1: | cost: 29.447 Data set 1: | cost: 29.776 Data set 1: | cost: 25.801 Data set 1: | cost: 24.023 Data set 1: | cost: 25.510 Data set 1: | cost: 22.392 Data set 1: | cost: 24.028 Data set 1: | cost: 30.676 Data set 1: | cost: 34.402 Data set 1: | cost: 26.130 Data set 1: | cost: 19.496 Data set 1: | cost: 12.504 Data set 1: | cost: 29.376 Data set 1: | cost: 25.339 Data set 1: | cost: 21.415 Data set 1: | cost: 21.062 Data set 1: | cost: 32.098 Data set 1: | cost: 23.507 Data set 1: | cost: 17.358 Data set 1: | cost: 18.957 Data set 1: | cost: 20.051 Data set 1: | cost: 21.076 Data set 1: | cost: 15.031 Data set 1: | cost: 20.161 Data set 1: | cost: 15.137 Data set 1: | cost: 18.231 Data set 1: | cost: 16.453 Data set 1: | cost: 19.194 Data set 1: | cost: 16.426 Data set 1: | cost: 13.782 Data set 1: | cost: 20.278 Data set 1: | cost: 14.368 Data set 1: | cost: 16.608 Data set 1: | cost: 17.284 Data set 1: | cost: 15.926 Data set 1: | cost: 9.959 Data set 1: | cost: 16.520 Data set 1: | cost: 13.808 Data set 1: | cost: 16.284 Data set 1: | cost: 15.559 Data set 1: | cost: 11.852 Data set 1: | cost: 14.638 Data set 1: | cost: 18.864 Data set 1: | cost: 16.557 Data set 1: | cost: 19.620 Data set 1: | cost: 20.842 Data set 1: | cost: 13.328 Data set 1: | cost: 19.727 Data set 1: | cost: 11.955 Data set 1: | cost: 13.698 Data set 1: | cost: 14.660 Data set 1: | cost: 19.556 Data set 1: | cost: 13.703 Data set 1: | cost: 13.059 Data set 1: | cost: 11.785 Data set 1: | cost: 15.053 Data set 1: | cost: 20.143 Data set 1: | cost: 14.062 Data set 1: | cost: 17.089 Data set 1: | cost: 20.511 Data set 1: | cost: 13.092 Data set 1: | cost: 14.998 Data set 1: | cost: 18.176 Data set 1: | cost: 13.606 Data set 1: | cost: 15.152 Data set 1: | cost: 14.603 Data set 1: | cost: 15.569 Data set 1: | cost: 17.988 Data set 1: | cost: 17.118 Data set 1: | cost: 13.619 Data set 1: | cost: 14.885 Data set 1: | cost: 15.113 Data set 1: | cost: 11.773 Data set 1: | cost: 11.487 Data set 1: | cost: 16.740 Data set 1: | cost: 16.356 Data set 1: | cost: 16.970 Data set 1: | cost: 13.359 Data set 1: | cost: 12.997 Data set 1: | cost: 12.282 Data set 1: | cost: 16.319 Data set 1: | cost: 14.663 Data set 1: | cost: 14.025 Data set 1: | cost: 20.140 Data set 1: | cost: 18.684 Data set 1: | cost: 12.142 Data set 1: | cost: 16.774 Data set 1: | cost: 16.912 Data set 1: | cost: 14.624 Data set 1: | cost: 13.809 Data set 1: | cost: 17.683 Data set 1: | cost: 13.681 Data set 1: | cost: 13.588 Data set 1: | cost: 15.011 Data set 1: | cost: 18.878 Data set 1: | cost: 12.935 Data set 1: | cost: 14.898 Data set 1: | cost: 13.520 Data set 1: | cost: 15.424 Data set 1: | cost: 18.285 Data set 1: | cost: 12.678 Data set 1: | cost: 22.390 Data set 1: | cost: 23.185 Data set 1: | cost: 16.223 Data set 1: | cost: 10.728 Data set 1: | cost: 18.948 Data set 1: | cost: 16.553 Data set 1: | cost: 14.203 Data set 1: | cost: 17.033 Data set 1: | cost: 11.549 Data set 1: | cost: 17.525 Data set 1: | cost: 18.217 Data set 1: | cost: 14.224 Data set 1: | cost: 16.120 Data set 1: | cost: 14.128 Data set 1: | cost: 11.375 Data set 1: | cost: 13.898 Data set 1: | cost: 11.747 Data set 1: | cost: 14.957 Data set 1: | cost: 13.771 Data set 1: | cost: 19.032 Data set 1: | cost: 20.034 Data set 1: | cost: 12.212 Data set 1: | cost: 12.518 Data set 1: | cost: 12.166 Data set 1: | cost: 19.168 Data set 1: | cost: 12.352 Data set 1: | cost: 18.885 Data set 1: | cost: 14.053 Data set 1: | cost: 14.075 Data set 1: | cost: 15.792 Data set 1: | cost: 12.458 Data set 1: | cost: 15.854 Data set 1: | cost: 15.098 Data set 1: | cost: 15.892 Data set 1: | cost: 15.002 Data set 1: | cost: 15.351 Data set 1: | cost: 13.053 Data set 1: | cost: 14.113 Data set 1: | cost: 12.019 Data set 1: | cost: 12.960 Data set 1: | cost: 17.210 Data set 1: | cost: 12.861 Data set 1: | cost: 16.253 Data set 1: | cost: 12.662 Data set 1: | cost: 15.728 Data set 1: | cost: 15.572 Data set 1: | cost: 13.369 Data set 1: | cost: 14.216 Data set 1: | cost: 15.559 Data set 1: | cost: 16.422 Data set 1: | cost: 14.559 Data set 1: | cost: 15.993 Data set 1: | cost: 17.416 Data set 1: | cost: 18.802 Data set 1: | cost: 16.406 Data set 1: | cost: 12.374 Data set 1: | cost: 14.466 Data set 1: | cost: 15.006 Data set 1: | cost: 20.435 Data set 1: | cost: 19.474 Data set 1: | cost: 20.604 Data set 1: | cost: 22.168 Data set 1: | cost: 16.329 Data set 1: | cost: 16.953 Data set 1: | cost: 15.751 Data set 1: | cost: 16.293 Data set 1: | cost: 14.384 Data set 1: | cost: 10.833 Data set 1: | cost: 14.477 Data set 1: | cost: 19.045 Data set 1: | cost: 14.747 Data set 1: | cost: 15.638 Data set 1: | cost: 15.357 Data set 1: | cost: 19.473 Data set 1: | cost: 16.638 Data set 1: | cost: 18.398 Data set 1: | cost: 15.626 Data set 1: | cost: 15.416 Data set 1: | cost: 16.610 Data set 1: | cost: 20.887 Data set 1: | cost: 13.140 Data set 1: | cost: 18.437 Data set 1: | cost: 21.558 Data set 1: | cost: 15.744 Data set 1: | cost: 18.678 Data set 1: | cost: 13.863 Data set 1: | cost: 19.086 Data set 1: | cost: 17.182 Data set 1: | cost: 16.332 Data set 1: | cost: 19.955 Data set 1: | cost: 17.305 Data set 1: | cost: 16.751 Data set 1: | cost: 17.319 Data set 1: | cost: 17.768 Data set 1: | cost: 14.146 Data set 1: | cost: 15.843 Data set 1: | cost: 20.086 Data set 1: | cost: 13.189 Data set 1: | cost: 17.151 Data set 1: | cost: 13.854 Data set 1: | cost: 15.788 Data set 1: | cost: 19.860 Data set 1: | cost: 19.593 Data set 1: | cost: 17.181 Data set 1: | cost: 12.698 Data set 1: | cost: 23.608 Data set 1: | cost: 13.691 Data set 1: | cost: 19.550 Data set 1: | cost: 16.803 Data set 1: | cost: 17.965 Data set 1: | cost: 20.131 Data set 1: | cost: 19.250 Data set 1: | cost: 13.237 Data set 1: | cost: 17.540 Data set 1: | cost: 14.838 Data set 1: | cost: 13.903 Data set 1: | cost: 19.906 Data set 1: | cost: 17.284 Data set 1: | cost: 15.757 Data set 1: | cost: 15.235 Data set 1: | cost: 12.506 Data set 1: | cost: 12.118 Data set 1: | cost: 15.832 Data set 1: | cost: 20.096 Data set 1: | cost: 15.567 Data set 1: | cost: 15.866 Data set 1: | cost: 20.733 Data set 1: | cost: 15.662 Data set 1: | cost: 13.175 Data set 1: | cost: 16.046 Data set 1: | cost: 20.526 Data set 1: | cost: 16.382 Data set 1: | cost: 11.137 Data set 1: | cost: 20.070 Data set 1: | cost: 16.040 Data set 1: | cost: 14.816 Data set 1: | cost: 14.475 Data set 1: | cost: 12.525 Data set 1: | cost: 13.950 Data set 1: | cost: 15.376 Data set 1: | cost: 13.743 Data set 1: | cost: 14.224 Data set 1: | cost: 20.804 Data set 1: | cost: 19.869 Data set 1: | cost: 16.661 Data set 1: | cost: 18.300 Data set 1: | cost: 16.672 Data set 1: | cost: 18.422 Data set 1: | cost: 15.204 Data set 1: | cost: 11.717 Data set 1: | cost: 14.987 Data set 1: | cost: 10.346 Data set 1: | cost: 17.412 Data set 1: | cost: 15.255 Data set 1: | cost: 16.659 Data set 1: | cost: 20.971 Data set 1: | cost: 16.396 Data set 1: | cost: 17.809 Data set 1: | cost: 20.913 Data set 1: | cost: 18.367 Data set 1: | cost: 16.607 Data set 1: | cost: 13.016 Data set 1: | cost: 17.148 Data set 1: | cost: 16.052 Data set 1: | cost: 19.337 Data set 1: | cost: 16.269 Data set 1: | cost: 13.900 Data set 1: | cost: 19.182 Data set 1: | cost: 18.644 Data set 1: | cost: 19.405 Data set 1: | cost: 11.754 Data set 1: | cost: 15.671 Data set 1: | cost: 19.212 Data set 1: | cost: 18.369 Data set 1: | cost: 17.176 Data set 1: | cost: 12.493 Data set 1: | cost: 20.874 Data set 1: | cost: 17.107 Data set 1: | cost: 11.183 Data set 1: | cost: 12.867 Data set 1: | cost: 14.964 Data set 1: | cost: 22.463 Data set 1: | cost: 12.713 Data set 1: | cost: 13.816 Data set 1: | cost: 14.531 Data set 1: | cost: 16.361 Data set 1: | cost: 17.626 Data set 1: | cost: 13.929 Data set 1: | cost: 11.593 Data set 1: | cost: 13.586 Data set 1: | cost: 13.537 Data set 1: | cost: 12.589 Data set 1: | cost: 15.018 Data set 1: | cost: 16.330 Data set 1: | cost: 15.010 Data set 1: | cost: 17.287 Data set 1: | cost: 21.376 Data set 1: | cost: 18.285 Data set 1: | cost: 18.083 Data set 1: | cost: 19.117 Data set 1: | cost: 16.217 Data set 1: | cost: 19.403 Data set 1: | cost: 15.428 Data set 1: | cost: 17.970 Data set 1: | cost: 14.455 Data set 1: | cost: 12.355 Data set 1: | cost: 18.585 Data set 1: | cost: 12.724 Data set 1: | cost: 14.621 Data set 1: | cost: 14.224 Data set 1: | cost: 8.955 Data set 1: | cost: 17.680 Data set 1: | cost: 16.637 Data set 1: | cost: 13.311 Data set 1: | cost: 12.867 Data set 1: | cost: 15.646 Data set 1: | cost: 11.429 Data set 1: | cost: 12.079 Data set 1: | cost: 17.392 Data set 1: | cost: 19.207 Data set 1: | cost: 13.907 Data set 1: | cost: 17.040 Data set 1: | cost: 13.566 Data set 1: | cost: 13.975 Data set 1: | cost: 12.818 Data set 1: | cost: 16.175 Data set 1: | cost: 13.681 Data set 1: | cost: 17.373 Data set 1: | cost: 14.128 Data set 1: | cost: 11.959 Data set 1: | cost: 17.447 Data set 1: | cost: 13.147 Data set 1: | cost: 14.667 Data set 1: | cost: 18.837 Data set 1: | cost: 16.095 Data set 1: | cost: 19.076 Data set 1: | cost: 13.110 Data set 1: | cost: 14.771 Data set 1: | cost: 14.985 Data set 1: | cost: 14.508 Data set 1: | cost: 13.210 Data set 1: | cost: 18.472 Data set 1: | cost: 14.799 Data set 1: | cost: 17.509 Data set 1: | cost: 18.152 Data set 1: | cost: 14.691 Data set 1: | cost: 13.917 Data set 1: | cost: 20.432 Data set 1: | cost: 15.792 Data set 1: | cost: 16.109 Data set 1: | cost: 17.347 Data set 1: | cost: 16.097 Data set 1: | cost: 20.234 Data set 1: | cost: 14.286 Data set 1: | cost: 13.947 Data set 1: | cost: 12.697 Data set 1: | cost: 21.719 Data set 1: | cost: 13.594 Data set 1: | cost: 15.601 Data set 1: | cost: 15.138 Data set 1: | cost: 18.625 Data set 1: | cost: 14.600 Data set 1: | cost: 11.639 Data set 1: | cost: 13.969 Data set 1: | cost: 15.285 Data set 1: | cost: 16.510 Data set 1: | cost: 14.434 Data set 1: | cost: 14.422 Data set 1: | cost: 13.318 Data set 1: | cost: 15.718 Data set 1: | cost: 14.814 Data set 1: | cost: 12.644 Data set 1: | cost: 12.575 Data set 1: | cost: 16.660 Data set 1: | cost: 14.797 Data set 1: | cost: 18.589 Data set 1: | cost: 13.401 Data set 1: | cost: 17.257 Data set 1: | cost: 15.213 Data set 1: | cost: 11.840 Data set 1: | cost: 18.244 Data set 1: | cost: 18.620 Data set 1: | cost: 14.932 Data set 1: | cost: 14.332 Data set 1: | cost: 19.457 Data set 1: | cost: 16.124 Data set 1: | cost: 14.065 Data set 1: | cost: 13.446 Data set 1: | cost: 11.612 Data set 1: | cost: 15.496 Data set 1: | cost: 13.961 Data set 1: | cost: 16.127 Data set 1: | cost: 18.355 Data set 1: | cost: 14.939 Data set 1: | cost: 18.050 Data set 1: | cost: 17.973 Data set 1: | cost: 12.947 Data set 1: | cost: 14.726 Data set 1: | cost: 15.219 Data set 1: | cost: 12.517 Data set 1: | cost: 18.406 Data set 1: | cost: 14.414 Data set 1: | cost: 13.887 Data set 1: | cost: 18.111 Data set 1: | cost: 17.051 Data set 1: | cost: 17.912 Data set 1: | cost: 19.151 Data set 1: | cost: 11.646 Data set 1: | cost: 14.282 Data set 1: | cost: 17.394 Data set 1: | cost: 17.962 Data set 1: | cost: 19.492 Data set 1: | cost: 13.680 Data set 1: | cost: 13.038 Data set 1: | cost: 16.476 Data set 1: | cost: 17.542 Data set 1: | cost: 17.988 Data set 1: | cost: 20.091 Data set 1: | cost: 12.033 Data set 1: | cost: 14.784 Data set 1: | cost: 13.101 Data set 1: | cost: 13.784 Data set 1: | cost: 10.643 Data set 1: | cost: 14.124 Data set 1: | cost: 13.069 Data set 1: | cost: 17.595 Data set 1: | cost: 23.082 Data set 1: | cost: 10.816 Data set 1: | cost: 15.586 Data set 1: | cost: 12.392 Data set 1: | cost: 18.753 Data set 1: | cost: 17.295 Data set 1: | cost: 18.063 Data set 1: | cost: 19.534 Data set 1: | cost: 16.070 Data set 1: | cost: 15.009 Data set 1: | cost: 16.395 Data set 1: | cost: 14.424 Data set 1: | cost: 15.274 Data set 1: | cost: 15.422 Data set 1: | cost: 16.263 Data set 1: | cost: 16.433 Data set 1: | cost: 14.886 Data set 1: | cost: 19.263 Data set 1: | cost: 13.063 Data set 1: | cost: 14.380 Data set 1: | cost: 17.321 Data set 1: | cost: 18.141 Data set 1: | cost: 15.841 Data set 1: | cost: 16.083 Data set 1: | cost: 18.020 Data set 1: | cost: 16.721 Data set 1: | cost: 13.644 Data set 1: | cost: 16.560 Data set 1: | cost: 10.861 Data set 1: | cost: 11.519 Data set 1: | cost: 15.788 Data set 1: | cost: 10.275 Data set 1: | cost: 11.650 Data set 1: | cost: 17.662 Data set 1: | cost: 15.694 Data set 1: | cost: 13.198 Data set 1: | cost: 17.412 Data set 1: | cost: 13.776 Data set 1: | cost: 16.975 Data set 1: | cost: 15.481 Data set 1: | cost: 14.270 Data set 1: | cost: 16.362 Data set 1: | cost: 17.027 Data set 1: | cost: 15.775 Data set 1: | cost: 16.291 Data set 1: | cost: 14.729 Data set 1: | cost: 16.582 Data set 1: | cost: 12.778 Data set 1: | cost: 14.725 Data set 1: | cost: 11.936 Data set 1: | cost: 16.231 Data set 1: | cost: 15.943 Data set 1: | cost: 22.998 Data set 1: | cost: 12.307 Data set 1: | cost: 15.219 Data set 1: | cost: 19.944 Data set 1: | cost: 15.304 Data set 1: | cost: 17.455 Data set 1: | cost: 14.780 DMC Parameters: amp:22.0 tau:144 drc:0.55 bnds:53 bndsRate:0.00 bndsSaturation:0 resMean:323 resSD:31 aaShape:2.0 spShape:3.2 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 392 64 2.60 386 86 0.0 incomp 439 77 14.10 377 56 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 310.2 325.4 334.7 343.8 351.0 358.1 364.5 370.3 374.9 381.6 388.7 395.8 402.6 410.2 417.9 429.9 444.0 468.0 519.1 incomp 332.0 345.1 360.8 374.2 385.2 395.1 405.3 413.7 423.9 433.0 440.6 450.2 460.0 472.2 481.8 495.9 516.3 537.1 575.4 mean 321.1 335.2 347.8 359.0 368.1 376.6 384.9 392.0 399.4 407.3 414.7 423.0 431.3 441.2 449.9 462.9 480.2 502.6 547.2 effect 21.7 19.7 26.0 30.4 34.2 37.0 40.7 43.4 49.0 51.4 51.9 54.4 57.4 62.0 63.8 66.0 72.2 69.0 56.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.960 0.970 0.990 0.970 0.980 incomp 0.685 0.810 0.870 0.955 0.975 Data set 1: | cost: 40.015 Data set 1: | cost: 41.726 Data set 1: | cost: 46.725 Data set 1: | cost: 33.030 Data set 1: | cost: 56.760 Data set 1: | cost: 62.037 Data set 1: | cost: 37.088 Data set 1: | cost: 39.408 Data set 1: | cost: 48.649 Data set 1: | cost: 35.089 Data set 1: | cost: 35.499 Data set 1: | cost: 21.799 Data set 1: | cost: 24.038 Data set 1: | cost: 35.502 Data set 1: | cost: 37.896 Data set 1: | cost: 28.823 Data set 1: | cost: 27.714 Data set 1: | cost: 21.707 Data set 1: | cost: 26.714 Data set 1: | cost: 23.144 Data set 1: | cost: 25.492 Data set 1: | cost: 23.325 Data set 1: | cost: 25.928 Data set 1: | cost: 28.437 Data set 1: | cost: 23.367 Data set 1: | cost: 25.884 Data set 1: | cost: 24.104 Data set 1: | cost: 24.074 Data set 1: | cost: 24.855 Data set 1: | cost: 27.474 Data set 1: | cost: 24.919 Data set 1: | cost: 26.969 Data set 1: | cost: 22.495 Data set 1: | cost: 24.581 Data set 1: | cost: 25.554 Data set 1: | cost: 22.647 Data set 1: | cost: 25.511 Data set 1: | cost: 23.138 Data set 1: | cost: 24.496 Data set 1: | cost: 28.688 Data set 1: | cost: 24.180 Data set 1: | cost: 28.235 Data set 1: | cost: 26.562 Data set 1: | cost: 24.813 Data set 1: | cost: 22.966 Data set 1: | cost: 25.546 Data set 1: | cost: 26.371 Data set 1: | cost: 23.019 Data set 1: | cost: 24.492 Data set 1: | cost: 28.557 Data set 1: | cost: 24.681 Data set 1: | cost: 24.812 Data set 1: | cost: 28.363 Data set 1: | cost: 26.647 Data set 1: | cost: 26.644 Data set 1: | cost: 27.449 Data set 1: | cost: 29.423 Data set 1: | cost: 28.978 Data set 1: | cost: 26.553 Data set 1: | cost: 24.006 Data set 1: | cost: 30.033 Data set 1: | cost: 23.431 Data set 1: | cost: 24.961 Data set 1: | cost: 27.068 Data set 1: | cost: 27.991 Data set 1: | cost: 28.630 Data set 1: | cost: 28.823 Data set 1: | cost: 28.308 Data set 1: | cost: 26.085 Data set 1: | cost: 25.888 Data set 1: | cost: 27.464 Data set 1: | cost: 29.047 Data set 1: | cost: 30.062 Data set 1: | cost: 26.226 Data set 1: | cost: 27.666 Data set 1: | cost: 29.685 Data set 1: | cost: 26.794 Data set 1: | cost: 30.669 Data set 1: | cost: 26.765 Data set 1: | cost: 26.291 Data set 1: | cost: 24.566 Data set 1: | cost: 28.904 Data set 1: | cost: 30.062 Data set 1: | cost: 25.389 Data set 1: | cost: 26.605 Data set 1: | cost: 25.197 Data set 1: | cost: 30.053 Data set 1: | cost: 26.474 Data set 1: | cost: 28.671 Data set 1: | cost: 26.476 Data set 1: | cost: 26.509 Data set 1: | cost: 25.861 Data set 1: | cost: 25.621 Data set 1: | cost: 28.276 Data set 1: | cost: 26.529 Data set 1: | cost: 25.671 Data set 1: | cost: 22.077 Data set 1: | cost: 28.243 Data set 1: | cost: 26.464 Data set 1: | cost: 27.462 Data set 1: | cost: 28.905 Data set 1: | cost: 31.019 Data set 1: | cost: 29.411 Data set 1: | cost: 28.044 Data set 1: | cost: 25.273 Data set 1: | cost: 28.021 Data set 1: | cost: 29.442 Data set 1: | cost: 25.879 Data set 1: | cost: 28.158 Data set 1: | cost: 27.845 Data set 1: | cost: 27.350 Data set 1: | cost: 33.759 Data set 1: | cost: 28.965 Data set 1: | cost: 29.363 Data set 1: | cost: 24.595 Data set 1: | cost: 26.450 Data set 1: | cost: 25.099 Data set 1: | cost: 27.359 Data set 1: | cost: 23.648 Data set 1: | cost: 29.279 Data set 1: | cost: 28.682 Data set 1: | cost: 31.324 Data set 1: | cost: 29.471 Data set 1: | cost: 29.977 Data set 1: | cost: 26.426 Data set 1: | cost: 27.515 Data set 1: | cost: 26.702 Data set 1: | cost: 28.715 Data set 1: | cost: 31.309 Data set 1: | cost: 26.709 Data set 1: | cost: 28.651 Data set 1: | cost: 26.307 Data set 1: | cost: 27.036 Data set 1: | cost: 27.452 Data set 1: | cost: 27.091 Data set 1: | cost: 26.200 Data set 1: | cost: 25.873 Data set 1: | cost: 26.492 Data set 1: | cost: 28.217 Data set 1: | cost: 24.634 Data set 1: | cost: 29.711 Data set 1: | cost: 25.457 Data set 1: | cost: 28.569 Data set 1: | cost: 24.168 Data set 1: | cost: 29.373 Data set 1: | cost: 29.007 Data set 1: | cost: 26.375 Data set 1: | cost: 34.526 Data set 1: | cost: 28.636 Data set 1: | cost: 28.301 Data set 1: | cost: 28.585 Data set 1: | cost: 26.913 Data set 1: | cost: 27.410 Data set 1: | cost: 27.088 Data set 1: | cost: 29.341 Data set 1: | cost: 26.852 Data set 1: | cost: 28.508 Data set 1: | cost: 29.183 Data set 1: | cost: 31.293 Data set 1: | cost: 25.596 Data set 1: | cost: 28.853 Data set 1: | cost: 28.887 Data set 1: | cost: 25.281 Data set 1: | cost: 33.229 Data set 1: | cost: 28.393 Data set 1: | cost: 25.807 Data set 1: | cost: 31.544 Data set 1: | cost: 26.696 Data set 1: | cost: 32.222 Data set 1: | cost: 27.105 Data set 1: | cost: 28.128 Data set 1: | cost: 23.197 Data set 1: | cost: 30.044 Data set 1: | cost: 30.471 Data set 1: | cost: 29.702 Data set 1: | cost: 26.512 Data set 1: | cost: 25.076 Data set 1: | cost: 27.090 Data set 1: | cost: 28.659 Data set 1: | cost: 30.157 Data set 1: | cost: 24.000 Data set 1: | cost: 27.983 Data set 1: | cost: 26.139 Data set 1: | cost: 30.627 Data set 1: | cost: 25.300 Data set 1: | cost: 25.662 Data set 1: | cost: 30.310 Data set 1: | cost: 28.460 Data set 1: | cost: 27.055 Data set 1: | cost: 31.288 Data set 1: | cost: 30.292 Data set 1: | cost: 28.450 Data set 1: | cost: 27.519 Data set 1: | cost: 25.472 Data set 1: | cost: 27.533 Data set 1: | cost: 25.792 Data set 1: | cost: 29.131 Data set 1: | cost: 28.068 Data set 1: | cost: 28.567 Data set 1: | cost: 25.827 Data set 1: | cost: 28.468 Data set 1: | cost: 27.838 Data set 1: | cost: 27.394 Data set 1: | cost: 27.492 Data set 1: | cost: 26.914 Data set 1: | cost: 28.017 Data set 1: | cost: 26.572 Data set 1: | cost: 26.188 Data set 1: | cost: 29.954 Data set 1: | cost: 23.401 Data set 1: | cost: 27.739 Data set 1: | cost: 26.605 Data set 1: | cost: 29.032 Data set 1: | cost: 27.598 Data set 1: | cost: 29.029 Data set 1: | cost: 30.549 Data set 1: | cost: 23.543 Data set 1: | cost: 28.049 Data set 1: | cost: 25.360 Data set 1: | cost: 25.361 Data set 1: | cost: 27.843 Data set 1: | cost: 26.911 Data set 1: | cost: 29.215 Data set 1: | cost: 30.168 Data set 1: | cost: 28.544 Data set 1: | cost: 27.734 Data set 1: | cost: 26.493 Data set 1: | cost: 29.631 Data set 1: | cost: 26.716 Data set 1: | cost: 27.210 Data set 1: | cost: 27.658 Data set 1: | cost: 30.348 Data set 1: | cost: 28.654 Data set 1: | cost: 31.283 Data set 1: | cost: 28.999 Data set 1: | cost: 28.542 Data set 1: | cost: 26.053 Data set 1: | cost: 27.749 Data set 1: | cost: 27.675 Data set 1: | cost: 28.813 Data set 1: | cost: 27.630 Data set 1: | cost: 29.655 Data set 1: | cost: 28.017 Data set 1: | cost: 28.223 Data set 1: | cost: 30.336 Data set 1: | cost: 30.649 Data set 1: | cost: 28.337 Data set 1: | cost: 28.036 Data set 1: | cost: 30.174 Data set 1: | cost: 29.064 Data set 1: | cost: 28.467 Data set 1: | cost: 25.285 Data set 1: | cost: 26.771 Data set 1: | cost: 27.539 Data set 1: | cost: 27.155 Data set 1: | cost: 27.236 Data set 1: | cost: 28.364 Data set 1: | cost: 29.969 Data set 1: | cost: 30.668 Data set 1: | cost: 26.962 Data set 1: | cost: 28.180 Data set 1: | cost: 26.311 Data set 1: | cost: 26.289 Data set 1: | cost: 23.909 Data set 1: | cost: 26.744 Data set 1: | cost: 26.389 Data set 1: | cost: 27.974 Data set 1: | cost: 27.350 Data set 1: | cost: 27.533 Data set 1: | cost: 27.486 Data set 1: | cost: 26.166 Data set 1: | cost: 27.297 Data set 1: | cost: 27.158 Data set 1: | cost: 31.311 Data set 1: | cost: 31.563 Data set 1: | cost: 26.947 Data set 1: | cost: 30.516 Data set 1: | cost: 27.982 Data set 1: | cost: 25.040 Data set 1: | cost: 24.756 Data set 1: | cost: 25.376 Data set 1: | cost: 24.209 Data set 1: | cost: 29.570 Data set 1: | cost: 33.109 Data set 1: | cost: 27.643 Data set 1: | cost: 33.356 Data set 1: | cost: 30.380 Data set 1: | cost: 27.910 Data set 1: | cost: 25.635 Data set 1: | cost: 24.914 Data set 1: | cost: 26.122 Data set 1: | cost: 23.982 Data set 1: | cost: 27.018 Data set 1: | cost: 25.752 Data set 1: | cost: 26.686 Data set 1: | cost: 28.667 Data set 1: | cost: 32.831 Data set 1: | cost: 24.444 Data set 1: | cost: 27.459 Data set 1: | cost: 26.721 Data set 1: | cost: 23.376 Data set 1: | cost: 27.181 Data set 1: | cost: 29.444 Data set 1: | cost: 27.652 Data set 1: | cost: 28.956 Data set 1: | cost: 30.901 Data set 1: | cost: 25.996 Data set 1: | cost: 30.090 Data set 1: | cost: 26.963 Data set 1: | cost: 27.876 Data set 1: | cost: 27.365 Data set 1: | cost: 26.901 Data set 1: | cost: 31.404 Data set 1: | cost: 31.194 Data set 1: | cost: 28.406 Data set 1: | cost: 28.055 Data set 1: | cost: 28.807 Data set 1: | cost: 27.471 Data set 1: | cost: 30.395 Data set 1: | cost: 24.468 Data set 1: | cost: 26.047 Data set 1: | cost: 29.738 Data set 1: | cost: 24.432 Data set 1: | cost: 29.833 Data set 1: | cost: 31.112 Data set 1: | cost: 29.038 Data set 1: | cost: 28.817 Data set 1: | cost: 33.992 Data set 1: | cost: 29.582 Data set 1: | cost: 29.379 Data set 1: | cost: 27.004 Data set 1: | cost: 26.379 Data set 1: | cost: 32.124 Data set 1: | cost: 28.687 Data set 1: | cost: 29.747 Data set 1: | cost: 26.737 Data set 1: | cost: 26.599 Data set 1: | cost: 28.464 Data set 1: | cost: 25.206 Data set 1: | cost: 28.703 Data set 1: | cost: 23.978 Data set 1: | cost: 26.337 Data set 1: | cost: 24.411 Data set 1: | cost: 31.628 Data set 1: | cost: 28.106 Data set 1: | cost: 28.927 Data set 1: | cost: 30.626 Data set 1: | cost: 27.211 Data set 1: | cost: 23.190 Data set 1: | cost: 24.630 Data set 1: | cost: 26.944 Data set 1: | cost: 27.398 Data set 1: | cost: 27.210 Data set 1: | cost: 28.644 Data set 1: | cost: 31.871 Data set 1: | cost: 27.456 Data set 1: | cost: 27.177 Data set 1: | cost: 26.199 Data set 1: | cost: 28.970 Data set 1: | cost: 27.233 Data set 1: | cost: 24.098 Data set 1: | cost: 30.054 Data set 1: | cost: 26.693 Data set 1: | cost: 28.295 Data set 1: | cost: 27.601 Data set 1: | cost: 28.031 Data set 1: | cost: 29.374 Data set 1: | cost: 28.640 Data set 1: | cost: 27.797 Data set 1: | cost: 28.673 Data set 1: | cost: 32.755 Data set 1: | cost: 26.940 Data set 1: | cost: 28.757 Data set 1: | cost: 28.750 Data set 1: | cost: 27.258 Data set 1: | cost: 27.375 Data set 1: | cost: 27.859 Data set 1: | cost: 29.767 Data set 1: | cost: 28.794 Data set 1: | cost: 34.530 Data set 1: | cost: 32.221 Data set 1: | cost: 28.124 Data set 1: | cost: 27.435 Data set 1: | cost: 31.018 Data set 1: | cost: 27.856 Data set 1: | cost: 27.975 Data set 1: | cost: 29.150 Data set 1: | cost: 28.014 Data set 1: | cost: 28.634 Data set 1: | cost: 27.315 Data set 1: | cost: 27.466 Data set 1: | cost: 24.830 Data set 1: | cost: 30.290 Data set 1: | cost: 28.254 Data set 1: | cost: 26.212 Data set 1: | cost: 26.886 Data set 1: | cost: 28.014 Data set 1: | cost: 28.212 Data set 1: | cost: 27.728 Data set 1: | cost: 27.602 Data set 1: | cost: 29.497 Data set 1: | cost: 25.658 Data set 1: | cost: 25.333 Data set 1: | cost: 25.972 Data set 1: | cost: 26.048 Data set 1: | cost: 25.940 Data set 1: | cost: 31.208 Data set 1: | cost: 29.888 Data set 1: | cost: 32.244 Data set 1: | cost: 29.919 Data set 1: | cost: 27.333 Data set 1: | cost: 27.296 Data set 1: | cost: 27.418 Data set 1: | cost: 29.540 Data set 1: | cost: 27.924 Data set 1: | cost: 29.151 Data set 1: | cost: 25.370 Data set 1: | cost: 27.288 Data set 1: | cost: 30.926 Data set 1: | cost: 27.083 Data set 1: | cost: 25.076 Data set 1: | cost: 27.449 Data set 1: | cost: 26.631 Data set 1: | cost: 27.564 Data set 1: | cost: 29.029 Data set 1: | cost: 25.751 Data set 1: | cost: 33.613 Data set 1: | cost: 27.165 Data set 1: | cost: 27.896 Data set 1: | cost: 27.916 Data set 1: | cost: 26.813 Data set 1: | cost: 28.394 Data set 1: | cost: 27.356 Data set 1: | cost: 25.937 Data set 1: | cost: 26.396 Data set 1: | cost: 29.404 Data set 1: | cost: 25.439 Data set 1: | cost: 26.214 Data set 1: | cost: 26.877 Data set 1: | cost: 26.076 Data set 1: | cost: 28.979 Data set 1: | cost: 25.949 Data set 1: | cost: 27.059 Data set 1: | cost: 30.589 Data set 1: | cost: 29.219 Data set 1: | cost: 26.909 Data set 1: | cost: 26.741 Data set 1: | cost: 27.535 Data set 1: | cost: 28.033 Data set 1: | cost: 27.936 Data set 1: | cost: 30.434 Data set 1: | cost: 26.041 Data set 1: | cost: 30.195 Data set 1: | cost: 21.792 Data set 1: | cost: 26.311 Data set 1: | cost: 27.251 Data set 1: | cost: 30.620 Data set 1: | cost: 27.318 Data set 1: | cost: 28.193 Data set 1: | cost: 27.965 Data set 1: | cost: 26.024 Data set 1: | cost: 28.103 Data set 1: | cost: 29.341 Data set 1: | cost: 26.775 Data set 1: | cost: 29.944 Data set 1: | cost: 26.432 Data set 1: | cost: 24.197 Data set 1: | cost: 32.368 Data set 1: | cost: 29.635 Data set 1: | cost: 29.372 Data set 1: | cost: 26.447 Data set 1: | cost: 26.890 Data set 1: | cost: 26.398 Data set 1: | cost: 28.070 Data set 1: | cost: 26.840 Data set 1: | cost: 28.820 Data set 1: | cost: 23.313 Data set 1: | cost: 26.739 Data set 1: | cost: 24.413 Data set 1: | cost: 22.635 Data set 1: | cost: 33.869 Data set 1: | cost: 29.149 Data set 1: | cost: 26.243 Data set 1: | cost: 29.433 Data set 1: | cost: 29.239 Data set 1: | cost: 27.138 Data set 1: | cost: 24.850 Data set 1: | cost: 28.244 Data set 1: | cost: 30.004 Data set 1: | cost: 26.950 Data set 1: | cost: 24.472 Data set 1: | cost: 30.223 Data set 1: | cost: 29.025 Data set 1: | cost: 31.875 Data set 1: | cost: 28.374 Data set 1: | cost: 26.650 Data set 1: | cost: 25.268 Data set 1: | cost: 27.831 Data set 1: | cost: 26.522 Data set 1: | cost: 27.439 Data set 1: | cost: 27.148 DMC Parameters: amp:18.7 tau:74 drc:0.53 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:286 resSD:32 aaShape:2.1 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 396 97 1.40 340 49 0.0 incomp 444 97 8.00 344 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 281.9 297.2 312.5 320.5 330.7 338.1 348.0 355.7 364.1 373.3 384.0 393.8 409.4 422.2 440.5 458.8 482.1 521.1 589.8 incomp 318.7 335.6 349.5 366.8 376.4 387.6 400.3 410.3 418.9 428.7 440.1 453.8 465.5 478.4 488.9 508.0 534.5 572.1 636.7 mean 300.3 316.4 331.0 343.6 353.5 362.9 374.1 383.0 391.5 401.0 412.1 423.8 437.5 450.3 464.7 483.4 508.3 546.6 613.2 effect 36.7 38.4 37.1 46.3 45.7 49.6 52.3 54.6 54.9 55.4 56.1 60.0 56.2 56.2 48.4 49.2 52.4 51.0 46.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.990 0.980 0.990 1.000 incomp 0.740 0.900 0.985 0.985 0.990 Data set 1: | cost: 48.791 Data set 1: | cost: 53.628 Data set 1: | cost: 59.401 Data set 1: | cost: 53.190 Data set 1: | cost: 72.483 Data set 1: | cost: 73.932 Data set 1: | cost: 55.010 Data set 1: | cost: 59.318 Data set 1: | cost: 58.776 Data set 1: | cost: 53.013 Data set 1: | cost: 57.571 Data set 1: | cost: 36.572 Data set 1: | cost: 38.631 Data set 1: | cost: 46.862 Data set 1: | cost: 41.148 Data set 1: | cost: 46.622 Data set 1: | cost: 54.561 Data set 1: | cost: 47.386 Data set 1: | cost: 46.898 Data set 1: | cost: 45.417 Data set 1: | cost: 42.066 Data set 1: | cost: 50.282 Data set 1: | cost: 45.740 Data set 1: | cost: 45.636 Data set 1: | cost: 47.517 Data set 1: | cost: 39.062 Data set 1: | cost: 40.504 Data set 1: | cost: 41.312 Data set 1: | cost: 41.676 Data set 1: | cost: 42.108 Data set 1: | cost: 44.943 Data set 1: | cost: 42.575 Data set 1: | cost: 37.954 Data set 1: | cost: 43.291 Data set 1: | cost: 42.462 Data set 1: | cost: 45.137 Data set 1: | cost: 46.666 Data set 1: | cost: 39.898 Data set 1: | cost: 40.771 Data set 1: | cost: 50.192 Data set 1: | cost: 43.001 Data set 1: | cost: 37.217 Data set 1: | cost: 41.253 Data set 1: | cost: 47.498 Data set 1: | cost: 46.411 Data set 1: | cost: 45.559 Data set 1: | cost: 41.334 Data set 1: | cost: 43.266 Data set 1: | cost: 44.463 Data set 1: | cost: 41.181 Data set 1: | cost: 44.127 Data set 1: | cost: 37.113 Data set 1: | cost: 45.073 Data set 1: | cost: 42.723 Data set 1: | cost: 42.406 Data set 1: | cost: 46.624 Data set 1: | cost: 40.543 Data set 1: | cost: 41.993 Data set 1: | cost: 46.925 Data set 1: | cost: 43.190 Data set 1: | cost: 37.639 Data set 1: | cost: 43.238 Data set 1: | cost: 37.662 Data set 1: | cost: 40.201 Data set 1: | cost: 36.077 Data set 1: | cost: 42.199 Data set 1: | cost: 40.831 Data set 1: | cost: 44.828 Data set 1: | cost: 47.599 Data set 1: | cost: 38.309 Data set 1: | cost: 42.985 Data set 1: | cost: 44.539 Data set 1: | cost: 37.601 Data set 1: | cost: 42.401 Data set 1: | cost: 41.379 Data set 1: | cost: 38.096 Data set 1: | cost: 43.254 Data set 1: | cost: 39.627 Data set 1: | cost: 39.422 Data set 1: | cost: 42.772 Data set 1: | cost: 40.804 Data set 1: | cost: 41.104 Data set 1: | cost: 40.780 Data set 1: | cost: 33.006 Data set 1: | cost: 42.698 Data set 1: | cost: 37.951 Data set 1: | cost: 42.405 Data set 1: | cost: 41.215 Data set 1: | cost: 35.461 Data set 1: | cost: 38.195 Data set 1: | cost: 40.227 Data set 1: | cost: 38.690 Data set 1: | cost: 38.970 Data set 1: | cost: 41.956 Data set 1: | cost: 38.584 Data set 1: | cost: 34.704 Data set 1: | cost: 37.512 Data set 1: | cost: 39.691 Data set 1: | cost: 40.385 Data set 1: | cost: 37.022 Data set 1: | cost: 39.969 Data set 1: | cost: 41.122 Data set 1: | cost: 42.318 Data set 1: | cost: 34.919 Data set 1: | cost: 42.970 Data set 1: | cost: 39.947 Data set 1: | cost: 39.673 Data set 1: | cost: 42.547 Data set 1: | cost: 36.619 Data set 1: | cost: 34.695 Data set 1: | cost: 42.670 Data set 1: | cost: 45.571 Data set 1: | cost: 39.686 Data set 1: | cost: 36.647 Data set 1: | cost: 38.279 Data set 1: | cost: 38.613 Data set 1: | cost: 43.913 Data set 1: | cost: 38.906 Data set 1: | cost: 42.512 Data set 1: | cost: 38.655 Data set 1: | cost: 43.683 Data set 1: | cost: 37.074 Data set 1: | cost: 44.689 Data set 1: | cost: 39.746 Data set 1: | cost: 36.163 Data set 1: | cost: 39.882 Data set 1: | cost: 42.710 Data set 1: | cost: 39.471 Data set 1: | cost: 44.572 Data set 1: | cost: 43.717 Data set 1: | cost: 37.547 Data set 1: | cost: 33.377 Data set 1: | cost: 40.967 Data set 1: | cost: 39.964 Data set 1: | cost: 38.035 Data set 1: | cost: 43.109 Data set 1: | cost: 41.186 Data set 1: | cost: 35.187 Data set 1: | cost: 34.446 Data set 1: | cost: 34.761 Data set 1: | cost: 40.403 Data set 1: | cost: 34.618 Data set 1: | cost: 43.418 Data set 1: | cost: 41.400 Data set 1: | cost: 39.599 Data set 1: | cost: 37.894 Data set 1: | cost: 40.831 Data set 1: | cost: 42.814 Data set 1: | cost: 38.614 Data set 1: | cost: 42.081 Data set 1: | cost: 40.286 Data set 1: | cost: 38.928 Data set 1: | cost: 34.895 Data set 1: | cost: 41.916 Data set 1: | cost: 37.463 Data set 1: | cost: 39.651 Data set 1: | cost: 36.110 Data set 1: | cost: 39.742 Data set 1: | cost: 37.510 Data set 1: | cost: 39.752 Data set 1: | cost: 36.952 Data set 1: | cost: 37.177 Data set 1: | cost: 41.355 Data set 1: | cost: 38.712 Data set 1: | cost: 44.655 Data set 1: | cost: 36.163 Data set 1: | cost: 43.297 Data set 1: | cost: 42.465 Data set 1: | cost: 42.115 Data set 1: | cost: 36.013 Data set 1: | cost: 41.538 Data set 1: | cost: 42.327 Data set 1: | cost: 37.922 Data set 1: | cost: 40.380 Data set 1: | cost: 39.899 Data set 1: | cost: 32.299 Data set 1: | cost: 37.430 Data set 1: | cost: 33.753 Data set 1: | cost: 41.486 Data set 1: | cost: 43.405 Data set 1: | cost: 35.173 Data set 1: | cost: 39.823 Data set 1: | cost: 44.654 Data set 1: | cost: 45.160 Data set 1: | cost: 40.044 Data set 1: | cost: 39.728 Data set 1: | cost: 46.271 Data set 1: | cost: 41.035 Data set 1: | cost: 41.430 Data set 1: | cost: 42.659 Data set 1: | cost: 45.544 Data set 1: | cost: 35.768 Data set 1: | cost: 41.636 Data set 1: | cost: 40.713 Data set 1: | cost: 41.039 Data set 1: | cost: 35.983 Data set 1: | cost: 38.271 Data set 1: | cost: 41.091 Data set 1: | cost: 40.172 Data set 1: | cost: 40.221 Data set 1: | cost: 34.233 Data set 1: | cost: 42.168 Data set 1: | cost: 33.886 Data set 1: | cost: 39.051 Data set 1: | cost: 40.665 Data set 1: | cost: 39.619 Data set 1: | cost: 44.098 Data set 1: | cost: 37.101 Data set 1: | cost: 38.375 Data set 1: | cost: 40.989 Data set 1: | cost: 36.320 Data set 1: | cost: 35.531 Data set 1: | cost: 35.848 Data set 1: | cost: 37.602 Data set 1: | cost: 42.715 Data set 1: | cost: 40.358 Data set 1: | cost: 38.521 Data set 1: | cost: 35.834 Data set 1: | cost: 41.686 Data set 1: | cost: 43.370 Data set 1: | cost: 42.432 Data set 1: | cost: 33.909 Data set 1: | cost: 38.957 Data set 1: | cost: 41.140 Data set 1: | cost: 38.523 Data set 1: | cost: 37.369 Data set 1: | cost: 35.002 Data set 1: | cost: 43.750 Data set 1: | cost: 40.622 Data set 1: | cost: 37.628 Data set 1: | cost: 40.657 Data set 1: | cost: 37.726 Data set 1: | cost: 36.943 Data set 1: | cost: 41.883 Data set 1: | cost: 39.711 Data set 1: | cost: 40.911 Data set 1: | cost: 38.664 Data set 1: | cost: 34.987 Data set 1: | cost: 34.297 Data set 1: | cost: 40.448 Data set 1: | cost: 37.853 Data set 1: | cost: 36.318 Data set 1: | cost: 44.102 Data set 1: | cost: 40.704 Data set 1: | cost: 40.719 Data set 1: | cost: 37.165 Data set 1: | cost: 41.602 Data set 1: | cost: 36.038 Data set 1: | cost: 35.816 Data set 1: | cost: 37.694 Data set 1: | cost: 35.521 Data set 1: | cost: 44.294 Data set 1: | cost: 43.493 Data set 1: | cost: 38.862 Data set 1: | cost: 36.515 Data set 1: | cost: 40.406 Data set 1: | cost: 41.114 Data set 1: | cost: 43.171 Data set 1: | cost: 37.065 Data set 1: | cost: 36.444 Data set 1: | cost: 30.642 Data set 1: | cost: 41.017 Data set 1: | cost: 35.520 Data set 1: | cost: 36.763 Data set 1: | cost: 33.932 Data set 1: | cost: 40.124 Data set 1: | cost: 41.895 Data set 1: | cost: 32.450 Data set 1: | cost: 36.718 Data set 1: | cost: 37.697 Data set 1: | cost: 37.569 Data set 1: | cost: 34.274 Data set 1: | cost: 34.487 Data set 1: | cost: 39.475 Data set 1: | cost: 33.966 Data set 1: | cost: 39.746 Data set 1: | cost: 38.538 Data set 1: | cost: 36.546 Data set 1: | cost: 37.517 Data set 1: | cost: 40.080 Data set 1: | cost: 37.092 Data set 1: | cost: 37.864 Data set 1: | cost: 41.601 Data set 1: | cost: 41.101 Data set 1: | cost: 43.031 Data set 1: | cost: 39.983 Data set 1: | cost: 38.049 Data set 1: | cost: 40.033 Data set 1: | cost: 40.896 Data set 1: | cost: 38.571 Data set 1: | cost: 36.441 Data set 1: | cost: 43.159 Data set 1: | cost: 42.542 Data set 1: | cost: 39.843 Data set 1: | cost: 43.217 Data set 1: | cost: 35.134 Data set 1: | cost: 41.740 Data set 1: | cost: 41.167 Data set 1: | cost: 40.484 Data set 1: | cost: 40.511 Data set 1: | cost: 45.271 Data set 1: | cost: 39.528 Data set 1: | cost: 39.301 Data set 1: | cost: 38.739 Data set 1: | cost: 40.175 Data set 1: | cost: 42.740 Data set 1: | cost: 45.832 Data set 1: | cost: 42.200 Data set 1: | cost: 39.526 Data set 1: | cost: 38.652 Data set 1: | cost: 40.138 Data set 1: | cost: 41.511 Data set 1: | cost: 40.596 Data set 1: | cost: 38.325 Data set 1: | cost: 40.625 Data set 1: | cost: 33.539 Data set 1: | cost: 36.578 Data set 1: | cost: 41.505 Data set 1: | cost: 39.362 Data set 1: | cost: 43.814 Data set 1: | cost: 39.601 Data set 1: | cost: 43.227 Data set 1: | cost: 37.159 Data set 1: | cost: 33.428 Data set 1: | cost: 44.084 Data set 1: | cost: 40.943 Data set 1: | cost: 34.772 Data set 1: | cost: 41.426 Data set 1: | cost: 38.848 Data set 1: | cost: 44.289 Data set 1: | cost: 37.708 Data set 1: | cost: 41.579 Data set 1: | cost: 40.950 Data set 1: | cost: 41.896 Data set 1: | cost: 43.748 Data set 1: | cost: 41.122 Data set 1: | cost: 41.605 Data set 1: | cost: 40.681 Data set 1: | cost: 31.954 Data set 1: | cost: 37.457 Data set 1: | cost: 42.278 Data set 1: | cost: 39.979 Data set 1: | cost: 33.291 Data set 1: | cost: 35.302 Data set 1: | cost: 42.040 Data set 1: | cost: 38.364 Data set 1: | cost: 39.863 Data set 1: | cost: 35.546 Data set 1: | cost: 39.064 Data set 1: | cost: 39.097 Data set 1: | cost: 37.433 Data set 1: | cost: 38.906 Data set 1: | cost: 38.214 Data set 1: | cost: 37.822 Data set 1: | cost: 40.182 Data set 1: | cost: 42.065 Data set 1: | cost: 38.836 Data set 1: | cost: 37.721 Data set 1: | cost: 44.472 Data set 1: | cost: 42.529 Data set 1: | cost: 37.311 Data set 1: | cost: 45.627 Data set 1: | cost: 40.171 Data set 1: | cost: 37.988 Data set 1: | cost: 45.764 Data set 1: | cost: 36.727 Data set 1: | cost: 41.740 Data set 1: | cost: 35.392 Data set 1: | cost: 35.849 Data set 1: | cost: 44.013 Data set 1: | cost: 40.051 Data set 1: | cost: 38.047 Data set 1: | cost: 43.870 Data set 1: | cost: 40.032 Data set 1: | cost: 37.315 Data set 1: | cost: 38.977 Data set 1: | cost: 41.592 Data set 1: | cost: 42.941 Data set 1: | cost: 38.731 Data set 1: | cost: 41.345 Data set 1: | cost: 41.025 Data set 1: | cost: 39.362 Data set 1: | cost: 40.705 Data set 1: | cost: 34.898 Data set 1: | cost: 39.467 Data set 1: | cost: 35.905 Data set 1: | cost: 37.628 Data set 1: | cost: 39.527 Data set 1: | cost: 41.766 Data set 1: | cost: 39.147 Data set 1: | cost: 34.947 Data set 1: | cost: 36.357 Data set 1: | cost: 37.250 Data set 1: | cost: 42.033 Data set 1: | cost: 36.733 Data set 1: | cost: 34.587 Data set 1: | cost: 42.196 Data set 1: | cost: 41.382 Data set 1: | cost: 40.701 Data set 1: | cost: 39.805 Data set 1: | cost: 39.645 Data set 1: | cost: 37.650 Data set 1: | cost: 38.796 Data set 1: | cost: 40.646 Data set 1: | cost: 36.056 Data set 1: | cost: 38.149 Data set 1: | cost: 41.527 Data set 1: | cost: 37.625 Data set 1: | cost: 38.405 Data set 1: | cost: 40.595 Data set 1: | cost: 39.207 Data set 1: | cost: 34.699 Data set 1: | cost: 46.462 Data set 1: | cost: 40.725 Data set 1: | cost: 43.644 Data set 1: | cost: 43.147 Data set 1: | cost: 43.056 Data set 1: | cost: 40.681 Data set 1: | cost: 41.740 Data set 1: | cost: 39.266 Data set 1: | cost: 35.971 Data set 1: | cost: 35.056 Data set 1: | cost: 35.498 Data set 1: | cost: 39.675 Data set 1: | cost: 34.423 Data set 1: | cost: 36.759 Data set 1: | cost: 42.352 Data set 1: | cost: 35.769 Data set 1: | cost: 36.081 Data set 1: | cost: 42.780 Data set 1: | cost: 39.999 Data set 1: | cost: 35.264 Data set 1: | cost: 39.010 Data set 1: | cost: 35.226 Data set 1: | cost: 36.711 Data set 1: | cost: 42.760 Data set 1: | cost: 41.828 Data set 1: | cost: 34.963 Data set 1: | cost: 38.459 Data set 1: | cost: 39.573 Data set 1: | cost: 40.576 Data set 1: | cost: 42.863 Data set 1: | cost: 38.879 Data set 1: | cost: 39.383 Data set 1: | cost: 34.505 Data set 1: | cost: 43.590 Data set 1: | cost: 39.863 Data set 1: | cost: 35.148 Data set 1: | cost: 35.128 Data set 1: | cost: 41.846 Data set 1: | cost: 44.974 Data set 1: | cost: 40.874 Data set 1: | cost: 37.302 Data set 1: | cost: 38.559 Data set 1: | cost: 39.709 Data set 1: | cost: 32.796 Data set 1: | cost: 44.905 Data set 1: | cost: 40.091 Data set 1: | cost: 38.263 Data set 1: | cost: 40.469 Data set 1: | cost: 41.949 Data set 1: | cost: 37.927 Data set 1: | cost: 34.417 Data set 1: | cost: 41.860 Data set 1: | cost: 34.409 Data set 1: | cost: 43.691 Data set 1: | cost: 45.047 Data set 1: | cost: 36.857 Data set 1: | cost: 42.932 Data set 1: | cost: 43.006 Data set 1: | cost: 41.467 Data set 1: | cost: 42.856 Data set 1: | cost: 37.369 Data set 1: | cost: 37.009 Data set 1: | cost: 41.518 Data set 1: | cost: 36.534 Data set 1: | cost: 36.219 Data set 1: | cost: 42.290 Data set 1: | cost: 36.098 Data set 1: | cost: 39.203 Data set 1: | cost: 38.742 Data set 1: | cost: 43.528 Data set 1: | cost: 43.849 Data set 1: | cost: 42.040 Data set 1: | cost: 39.005 Data set 1: | cost: 37.839 Data set 1: | cost: 39.212 Data set 1: | cost: 39.466 Data set 1: | cost: 40.396 Data set 1: | cost: 40.582 Data set 1: | cost: 40.320 Data set 1: | cost: 37.931 Data set 1: | cost: 38.921 Data set 1: | cost: 39.018 Data set 1: | cost: 36.291 Data set 1: | cost: 40.169 Data set 1: | cost: 33.976 Data set 1: | cost: 39.265 Data set 1: | cost: 40.580 Data set 1: | cost: 41.465 Data set 1: | cost: 35.478 DMC Parameters: amp:21.0 tau:107 drc:0.53 bnds:67 bndsRate:0.00 bndsSaturation:0 resMean:291 resSD:31 aaShape:2.0 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 384 82 1.40 384 102 0.0 incomp 438 95 8.10 349 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 285.9 301.9 310.4 319.7 329.1 335.8 342.2 351.3 357.0 366.2 374.5 384.9 393.8 404.8 420.3 433.3 457.1 489.6 542.4 incomp 310.5 334.2 349.9 360.4 373.2 381.4 392.0 402.7 414.4 424.7 434.1 446.2 457.8 472.5 486.1 501.8 528.5 561.5 612.7 mean 298.2 318.1 330.1 340.0 351.2 358.6 367.1 377.0 385.7 395.5 404.3 415.6 425.8 438.7 453.2 467.6 492.8 525.6 577.6 effect 24.6 32.3 39.5 40.7 44.1 45.6 49.8 51.5 57.3 58.5 59.6 61.3 63.9 67.7 65.9 68.5 71.4 71.8 70.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.985 0.980 0.985 0.990 0.990 incomp 0.745 0.915 0.955 0.985 0.995 Data set 1: | cost: 87.250 Data set 1: | cost: 95.500 Data set 1: | cost: 93.760 Data set 1: | cost: 105.449 Data set 1: | cost: 79.947 Data set 1: | cost: 68.370 Data set 1: | cost: 92.652 Data set 1: | cost: 91.984 Data set 1: | cost: 91.414 Data set 1: | cost: 67.484 Data set 1: | cost: 39.202 Data set 1: | cost: 65.341 Data set 1: | cost: 67.660 Data set 1: | cost: 67.864 Data set 1: | cost: 66.680 Data set 1: | cost: 58.382 Data set 1: | cost: 61.985 Data set 1: | cost: 53.762 Data set 1: | cost: 58.675 Data set 1: | cost: 43.256 Data set 1: | cost: 50.182 Data set 1: | cost: 37.740 Data set 1: | cost: 58.467 Data set 1: | cost: 44.871 Data set 1: | cost: 47.349 Data set 1: | cost: 35.965 Data set 1: | cost: 63.345 Data set 1: | cost: 40.352 Data set 1: | cost: 33.196 Data set 1: | cost: 51.528 Data set 1: | cost: 37.045 Data set 1: | cost: 48.307 Data set 1: | cost: 36.539 Data set 1: | cost: 45.424 Data set 1: | cost: 31.729 Data set 1: | cost: 30.855 Data set 1: | cost: 32.946 Data set 1: | cost: 45.702 Data set 1: | cost: 35.823 Data set 1: | cost: 43.273 Data set 1: | cost: 38.341 Data set 1: | cost: 43.046 Data set 1: | cost: 38.497 Data set 1: | cost: 33.731 Data set 1: | cost: 32.276 Data set 1: | cost: 33.750 Data set 1: | cost: 33.578 Data set 1: | cost: 31.603 Data set 1: | cost: 35.853 Data set 1: | cost: 32.195 Data set 1: | cost: 34.748 Data set 1: | cost: 38.552 Data set 1: | cost: 33.360 Data set 1: | cost: 32.488 Data set 1: | cost: 32.358 Data set 1: | cost: 30.481 Data set 1: | cost: 35.807 Data set 1: | cost: 35.628 Data set 1: | cost: 29.172 Data set 1: | cost: 33.439 Data set 1: | cost: 30.778 Data set 1: | cost: 32.587 Data set 1: | cost: 31.426 Data set 1: | cost: 31.390 Data set 1: | cost: 32.909 Data set 1: | cost: 26.750 Data set 1: | cost: 26.434 Data set 1: | cost: 29.721 Data set 1: | cost: 30.339 Data set 1: | cost: 39.606 Data set 1: | cost: 33.354 Data set 1: | cost: 29.880 Data set 1: | cost: 32.410 Data set 1: | cost: 28.158 Data set 1: | cost: 31.413 Data set 1: | cost: 29.046 Data set 1: | cost: 27.259 Data set 1: | cost: 30.131 Data set 1: | cost: 29.870 Data set 1: | cost: 30.454 Data set 1: | cost: 32.755 Data set 1: | cost: 32.592 Data set 1: | cost: 29.234 Data set 1: | cost: 32.240 Data set 1: | cost: 28.691 Data set 1: | cost: 33.173 Data set 1: | cost: 27.762 Data set 1: | cost: 29.876 Data set 1: | cost: 27.785 Data set 1: | cost: 30.866 Data set 1: | cost: 26.027 Data set 1: | cost: 30.367 Data set 1: | cost: 30.431 Data set 1: | cost: 34.302 Data set 1: | cost: 28.423 Data set 1: | cost: 29.780 Data set 1: | cost: 30.085 Data set 1: | cost: 30.514 Data set 1: | cost: 32.204 Data set 1: | cost: 29.482 Data set 1: | cost: 24.566 Data set 1: | cost: 24.422 Data set 1: | cost: 35.460 Data set 1: | cost: 33.314 Data set 1: | cost: 35.333 Data set 1: | cost: 24.591 Data set 1: | cost: 32.818 Data set 1: | cost: 33.456 Data set 1: | cost: 31.284 Data set 1: | cost: 28.235 Data set 1: | cost: 36.586 Data set 1: | cost: 32.402 Data set 1: | cost: 33.716 Data set 1: | cost: 32.455 Data set 1: | cost: 31.928 Data set 1: | cost: 25.508 Data set 1: | cost: 27.299 Data set 1: | cost: 30.598 Data set 1: | cost: 28.766 Data set 1: | cost: 30.193 Data set 1: | cost: 31.037 Data set 1: | cost: 28.337 Data set 1: | cost: 30.065 Data set 1: | cost: 25.788 Data set 1: | cost: 37.414 Data set 1: | cost: 28.951 Data set 1: | cost: 31.944 Data set 1: | cost: 27.798 Data set 1: | cost: 36.011 Data set 1: | cost: 31.599 Data set 1: | cost: 32.517 Data set 1: | cost: 33.441 Data set 1: | cost: 36.447 Data set 1: | cost: 32.390 Data set 1: | cost: 27.450 Data set 1: | cost: 29.812 Data set 1: | cost: 32.000 Data set 1: | cost: 29.158 Data set 1: | cost: 28.624 Data set 1: | cost: 29.805 Data set 1: | cost: 35.898 Data set 1: | cost: 32.249 Data set 1: | cost: 30.284 Data set 1: | cost: 28.718 Data set 1: | cost: 28.863 Data set 1: | cost: 25.845 Data set 1: | cost: 30.744 Data set 1: | cost: 30.205 Data set 1: | cost: 34.999 Data set 1: | cost: 32.132 Data set 1: | cost: 28.206 Data set 1: | cost: 35.286 Data set 1: | cost: 29.498 Data set 1: | cost: 22.702 Data set 1: | cost: 31.333 Data set 1: | cost: 31.825 Data set 1: | cost: 35.065 Data set 1: | cost: 29.698 Data set 1: | cost: 30.429 Data set 1: | cost: 36.939 Data set 1: | cost: 26.104 Data set 1: | cost: 29.947 Data set 1: | cost: 28.886 Data set 1: | cost: 32.990 Data set 1: | cost: 33.151 Data set 1: | cost: 34.384 Data set 1: | cost: 30.104 Data set 1: | cost: 28.717 Data set 1: | cost: 28.567 Data set 1: | cost: 28.349 Data set 1: | cost: 28.507 Data set 1: | cost: 29.576 Data set 1: | cost: 32.057 Data set 1: | cost: 28.968 Data set 1: | cost: 35.727 Data set 1: | cost: 34.724 Data set 1: | cost: 33.643 Data set 1: | cost: 37.426 Data set 1: | cost: 30.503 Data set 1: | cost: 34.135 Data set 1: | cost: 26.767 Data set 1: | cost: 29.247 Data set 1: | cost: 28.615 Data set 1: | cost: 31.887 Data set 1: | cost: 32.147 Data set 1: | cost: 26.201 Data set 1: | cost: 31.128 Data set 1: | cost: 29.584 Data set 1: | cost: 28.927 Data set 1: | cost: 31.666 Data set 1: | cost: 31.513 Data set 1: | cost: 31.285 Data set 1: | cost: 29.879 Data set 1: | cost: 29.293 Data set 1: | cost: 34.364 Data set 1: | cost: 28.571 Data set 1: | cost: 30.919 Data set 1: | cost: 31.194 Data set 1: | cost: 28.860 Data set 1: | cost: 32.279 Data set 1: | cost: 29.259 Data set 1: | cost: 32.692 Data set 1: | cost: 26.005 Data set 1: | cost: 27.888 Data set 1: | cost: 33.366 Data set 1: | cost: 26.048 Data set 1: | cost: 28.014 Data set 1: | cost: 25.456 Data set 1: | cost: 30.230 Data set 1: | cost: 29.975 Data set 1: | cost: 33.487 Data set 1: | cost: 32.476 Data set 1: | cost: 32.945 Data set 1: | cost: 35.175 Data set 1: | cost: 28.809 Data set 1: | cost: 36.957 Data set 1: | cost: 30.320 Data set 1: | cost: 32.636 Data set 1: | cost: 29.082 Data set 1: | cost: 29.094 Data set 1: | cost: 30.798 Data set 1: | cost: 30.842 Data set 1: | cost: 28.933 Data set 1: | cost: 30.041 Data set 1: | cost: 30.905 Data set 1: | cost: 33.346 Data set 1: | cost: 31.579 Data set 1: | cost: 32.592 Data set 1: | cost: 28.280 Data set 1: | cost: 32.829 Data set 1: | cost: 34.469 Data set 1: | cost: 25.266 Data set 1: | cost: 27.856 Data set 1: | cost: 32.595 Data set 1: | cost: 30.285 Data set 1: | cost: 26.753 Data set 1: | cost: 29.321 Data set 1: | cost: 33.538 Data set 1: | cost: 35.185 Data set 1: | cost: 29.915 Data set 1: | cost: 32.048 Data set 1: | cost: 33.671 Data set 1: | cost: 28.371 Data set 1: | cost: 29.538 Data set 1: | cost: 24.347 Data set 1: | cost: 32.137 Data set 1: | cost: 32.016 Data set 1: | cost: 29.994 Data set 1: | cost: 27.606 Data set 1: | cost: 27.102 Data set 1: | cost: 29.661 Data set 1: | cost: 30.419 Data set 1: | cost: 28.463 Data set 1: | cost: 35.471 Data set 1: | cost: 32.076 Data set 1: | cost: 27.879 Data set 1: | cost: 29.899 Data set 1: | cost: 28.595 Data set 1: | cost: 28.165 Data set 1: | cost: 35.012 Data set 1: | cost: 29.695 Data set 1: | cost: 24.294 Data set 1: | cost: 32.987 Data set 1: | cost: 26.497 Data set 1: | cost: 25.337 Data set 1: | cost: 30.686 Data set 1: | cost: 34.836 Data set 1: | cost: 30.575 Data set 1: | cost: 31.903 Data set 1: | cost: 32.199 Data set 1: | cost: 26.877 Data set 1: | cost: 31.309 Data set 1: | cost: 27.894 Data set 1: | cost: 32.423 Data set 1: | cost: 30.695 Data set 1: | cost: 31.689 Data set 1: | cost: 29.598 Data set 1: | cost: 29.210 Data set 1: | cost: 32.661 Data set 1: | cost: 31.915 Data set 1: | cost: 25.844 Data set 1: | cost: 31.407 Data set 1: | cost: 29.461 Data set 1: | cost: 25.179 Data set 1: | cost: 30.859 Data set 1: | cost: 32.932 Data set 1: | cost: 31.175 Data set 1: | cost: 30.547 Data set 1: | cost: 32.123 Data set 1: | cost: 32.105 Data set 1: | cost: 27.023 Data set 1: | cost: 28.906 Data set 1: | cost: 34.671 Data set 1: | cost: 26.350 Data set 1: | cost: 31.042 Data set 1: | cost: 35.948 Data set 1: | cost: 31.848 Data set 1: | cost: 36.535 Data set 1: | cost: 34.219 Data set 1: | cost: 34.912 Data set 1: | cost: 25.085 Data set 1: | cost: 30.717 Data set 1: | cost: 30.573 Data set 1: | cost: 33.655 Data set 1: | cost: 31.622 Data set 1: | cost: 34.851 Data set 1: | cost: 24.388 Data set 1: | cost: 31.143 Data set 1: | cost: 31.880 Data set 1: | cost: 29.117 Data set 1: | cost: 28.542 Data set 1: | cost: 32.813 Data set 1: | cost: 31.142 Data set 1: | cost: 37.215 Data set 1: | cost: 28.475 Data set 1: | cost: 29.727 Data set 1: | cost: 32.792 Data set 1: | cost: 30.328 Data set 1: | cost: 33.407 Data set 1: | cost: 32.260 Data set 1: | cost: 29.892 Data set 1: | cost: 31.323 Data set 1: | cost: 30.643 Data set 1: | cost: 32.863 Data set 1: | cost: 30.311 Data set 1: | cost: 29.658 Data set 1: | cost: 33.953 Data set 1: | cost: 27.267 Data set 1: | cost: 29.768 Data set 1: | cost: 24.934 Data set 1: | cost: 26.392 Data set 1: | cost: 31.192 Data set 1: | cost: 29.416 Data set 1: | cost: 33.002 Data set 1: | cost: 31.822 Data set 1: | cost: 28.411 Data set 1: | cost: 31.641 Data set 1: | cost: 32.542 Data set 1: | cost: 30.970 Data set 1: | cost: 26.272 Data set 1: | cost: 34.179 Data set 1: | cost: 30.692 Data set 1: | cost: 32.572 Data set 1: | cost: 30.369 Data set 1: | cost: 33.852 Data set 1: | cost: 31.763 Data set 1: | cost: 33.384 Data set 1: | cost: 33.697 Data set 1: | cost: 30.287 Data set 1: | cost: 29.440 Data set 1: | cost: 33.546 Data set 1: | cost: 30.488 Data set 1: | cost: 34.880 Data set 1: | cost: 29.561 Data set 1: | cost: 29.327 Data set 1: | cost: 33.129 Data set 1: | cost: 37.174 Data set 1: | cost: 35.279 Data set 1: | cost: 38.238 Data set 1: | cost: 30.224 Data set 1: | cost: 31.656 Data set 1: | cost: 33.038 Data set 1: | cost: 31.523 Data set 1: | cost: 28.353 Data set 1: | cost: 27.061 Data set 1: | cost: 31.578 Data set 1: | cost: 30.075 Data set 1: | cost: 30.281 Data set 1: | cost: 37.597 Data set 1: | cost: 28.898 Data set 1: | cost: 27.426 Data set 1: | cost: 33.764 Data set 1: | cost: 33.519 Data set 1: | cost: 32.622 Data set 1: | cost: 31.510 Data set 1: | cost: 33.802 Data set 1: | cost: 36.147 Data set 1: | cost: 28.839 Data set 1: | cost: 29.546 Data set 1: | cost: 29.696 Data set 1: | cost: 27.517 Data set 1: | cost: 28.461 Data set 1: | cost: 27.747 Data set 1: | cost: 29.059 Data set 1: | cost: 34.436 Data set 1: | cost: 28.765 Data set 1: | cost: 33.072 Data set 1: | cost: 31.679 Data set 1: | cost: 32.240 Data set 1: | cost: 32.179 Data set 1: | cost: 31.083 Data set 1: | cost: 34.745 Data set 1: | cost: 28.397 Data set 1: | cost: 30.794 Data set 1: | cost: 35.032 Data set 1: | cost: 31.160 Data set 1: | cost: 32.236 Data set 1: | cost: 33.969 Data set 1: | cost: 29.290 Data set 1: | cost: 33.269 Data set 1: | cost: 31.152 Data set 1: | cost: 32.697 Data set 1: | cost: 27.967 Data set 1: | cost: 29.648 Data set 1: | cost: 31.069 Data set 1: | cost: 31.004 Data set 1: | cost: 29.100 Data set 1: | cost: 33.954 Data set 1: | cost: 27.572 Data set 1: | cost: 30.331 Data set 1: | cost: 31.681 Data set 1: | cost: 28.350 Data set 1: | cost: 35.478 Data set 1: | cost: 28.219 Data set 1: | cost: 39.713 Data set 1: | cost: 24.898 Data set 1: | cost: 29.520 Data set 1: | cost: 27.060 Data set 1: | cost: 32.012 Data set 1: | cost: 34.772 Data set 1: | cost: 27.161 Data set 1: | cost: 28.229 Data set 1: | cost: 28.307 Data set 1: | cost: 34.253 Data set 1: | cost: 33.271 Data set 1: | cost: 27.954 Data set 1: | cost: 33.224 Data set 1: | cost: 28.990 Data set 1: | cost: 35.699 Data set 1: | cost: 29.663 Data set 1: | cost: 32.493 Data set 1: | cost: 31.240 Data set 1: | cost: 28.138 Data set 1: | cost: 29.079 Data set 1: | cost: 29.530 Data set 1: | cost: 31.629 Data set 1: | cost: 31.276 Data set 1: | cost: 30.234 Data set 1: | cost: 26.045 Data set 1: | cost: 28.218 Data set 1: | cost: 28.150 Data set 1: | cost: 37.882 Data set 1: | cost: 29.479 Data set 1: | cost: 32.575 Data set 1: | cost: 27.550 Data set 1: | cost: 27.415 Data set 1: | cost: 29.524 Data set 1: | cost: 31.065 Data set 1: | cost: 31.935 Data set 1: | cost: 34.597 Data set 1: | cost: 34.489 Data set 1: | cost: 28.890 Data set 1: | cost: 29.672 Data set 1: | cost: 31.407 Data set 1: | cost: 29.945 Data set 1: | cost: 30.134 Data set 1: | cost: 27.176 Data set 1: | cost: 27.985 Data set 1: | cost: 35.000 Data set 1: | cost: 28.867 Data set 1: | cost: 30.022 Data set 1: | cost: 30.595 Data set 1: | cost: 31.603 Data set 1: | cost: 29.721 Data set 1: | cost: 29.976 Data set 1: | cost: 29.829 Data set 1: | cost: 27.536 Data set 1: | cost: 32.639 Data set 1: | cost: 30.037 Data set 1: | cost: 30.017 Data set 1: | cost: 27.441 Data set 1: | cost: 30.873 Data set 1: | cost: 29.314 Data set 1: | cost: 36.158 Data set 1: | cost: 31.063 Data set 1: | cost: 31.961 Data set 1: | cost: 27.511 Data set 1: | cost: 30.779 Data set 1: | cost: 33.413 Data set 1: | cost: 30.273 Data set 1: | cost: 29.633 Data set 1: | cost: 32.474 Data set 1: | cost: 30.334 Data set 1: | cost: 33.783 Data set 1: | cost: 31.173 Data set 1: | cost: 31.521 Data set 1: | cost: 30.126 Data set 1: | cost: 36.210 Data set 1: | cost: 29.501 Data set 1: | cost: 33.190 Data set 1: | cost: 29.277 Data set 1: | cost: 29.485 Data set 1: | cost: 30.834 Data set 1: | cost: 29.861 Data set 1: | cost: 26.948 Data set 1: | cost: 24.954 Data set 1: | cost: 29.795 Data set 1: | cost: 33.594 Data set 1: | cost: 28.667 Data set 1: | cost: 31.869 Data set 1: | cost: 32.600 DMC Parameters: amp:19.5 tau:276 drc:0.36 bnds:90 bndsRate:0.00 bndsSaturation:0 resMean:308 resSD:31 aaShape:2.1 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 510 157 2.50 455 175 0.0 incomp 582 179 7.30 434 122 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 332.1 358.9 372.6 387.6 401.4 412.7 423.7 442.8 452.4 467.9 484.4 506.6 525.3 545.3 572.8 616.7 657.3 709.4 832.9 incomp 348.1 379.9 405.3 429.2 446.5 466.1 492.4 509.9 527.5 548.8 570.6 597.5 631.2 654.2 682.7 719.2 765.5 822.3 935.9 mean 340.1 369.4 388.9 408.4 423.9 439.4 458.0 476.4 490.0 508.4 527.5 552.1 578.2 599.7 627.8 667.9 711.4 765.8 884.4 effect 16.0 21.0 32.7 41.6 45.1 53.4 68.7 67.1 75.0 80.9 86.2 91.0 105.9 108.8 109.9 102.5 108.2 112.9 103.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.940 0.985 0.980 0.985 0.985 incomp 0.800 0.915 0.950 0.985 0.985 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 184 ] > > proc.time() user system elapsed 89.859 1.646 298.183 *** caught segfault *** address 0x4fb0, cause 'memory not mapped' An irrecoverable exception occurred. R is aborting now ... Flavor: r-devel-linux-x86_64-fedora-gcc