R Under development (unstable) (2024-01-07 r85787 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > 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 0.65 478 94 0.0 incomp 458 95 1.31 404 99 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 332.0 355.3 375.2 395.2 417.7 442.6 472.6 513.7 578.8 incomp 363.4 385.7 403.2 420.5 438.3 458.4 483.4 518.6 578.5 mean 347.7 370.5 389.2 407.9 428.0 450.5 478.0 516.2 578.6 effect 31.4 30.4 28.0 25.3 20.7 15.7 10.8 4.9 -0.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.993 0.989 0.991 incomp 0.965 0.990 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 440 106 0.67 481 105 0.0 incomp 458 94 1.38 405 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 331.9 355.4 375.0 395.1 416.9 441.9 472.5 512.9 578.4 incomp 363.3 385.4 403.4 420.6 438.2 458.4 482.9 517.4 578.0 mean 347.6 370.4 389.2 407.9 427.6 450.1 477.7 515.2 578.2 effect 31.5 30.1 28.3 25.5 21.3 16.5 10.4 4.5 -0.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.992 0.989 0.991 incomp 0.964 0.989 0.993 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 0.63 476 101 0.0 incomp 458 94 1.29 406 92 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 332.2 355.4 375.3 395.4 417.1 442.1 472.9 513.3 578.3 incomp 363.6 385.7 403.3 420.5 438.2 458.2 483.3 518.6 578.1 mean 347.9 370.5 389.3 408.0 427.6 450.1 478.1 515.9 578.2 effect 31.4 30.3 28.1 25.1 21.1 16.1 10.5 5.3 -0.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.991 0.991 0.992 incomp 0.966 0.990 0.994 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 0.27 497 119 0.0 incomp 483 103 2.24 426 83 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 335.1 354.8 370.6 385.4 400.9 418.2 440.2 471.6 531.0 incomp 371.6 399.0 421.6 443.2 466.1 490.3 519.2 557.3 617.4 mean 353.3 376.9 396.1 414.3 433.5 454.3 479.7 514.5 574.2 effect 36.6 44.3 51.0 57.9 65.2 72.1 79.0 85.7 86.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.999 0.998 0.997 0.993 incomp 0.952 0.973 0.982 0.988 0.992 Data set 1: | cost: 37.212 Data set 1: | cost: 41.294 Data set 1: | cost: 40.479 Data set 1: | cost: 28.750 Data set 1: | cost: 52.595 Data set 1: | cost: 60.495 Data set 1: | cost: 37.646 Data set 1: | cost: 40.542 Data set 1: | cost: 34.977 Data set 1: | cost: 30.652 Data set 1: | cost: 31.468 Data set 1: | cost: 21.334 Data set 1: | cost: 20.929 Data set 1: | cost: 21.231 Data set 1: | cost: 29.877 Data set 1: | cost: 26.631 Data set 1: | cost: 26.673 Data set 1: | cost: 23.834 Data set 1: | cost: 22.503 Data set 1: | cost: 27.304 Data set 1: | cost: 22.464 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 377 85 1.70 363 101 0.0 incomp 422 92 9.20 344 47 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 281.4 296.4 305.3 313.8 322.1 329.5 336.0 344.3 351.6 359.2 365.7 374.7 386.2 396.4 410.7 424.4 449.7 485.6 537.8 incomp 301.2 319.9 335.1 347.9 357.6 369.1 381.0 388.3 400.1 410.2 420.9 430.5 444.5 458.5 469.9 485.8 507.8 535.2 587.3 mean 291.3 308.2 320.2 330.8 339.8 349.3 358.5 366.3 375.9 384.7 393.3 402.6 415.3 427.5 440.3 455.1 478.8 510.4 562.5 effect 19.8 23.5 29.8 34.2 35.5 39.5 44.9 44.1 48.5 51.0 55.1 55.8 58.3 62.1 59.2 61.4 58.1 49.5 49.6 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.965 0.995 0.975 1.000 0.980 incomp 0.760 0.890 0.910 0.980 1.000 Data set 1: | cost: 48.250 Data set 1: | cost: 50.190 Data set 1: | cost: 47.024 Data set 1: | cost: 45.849 Data set 1: | cost: 65.576 Data set 1: | cost: 72.929 Data set 1: | cost: 51.321 Data set 1: | cost: 50.955 Data set 1: | cost: 54.772 Data set 1: | cost: 38.022 Data set 1: | cost: 47.667 Data set 1: | cost: 37.473 Data set 1: | cost: 25.966 Data set 1: | cost: 34.207 Data set 1: | cost: 42.657 Data set 1: | cost: 36.931 Data set 1: | cost: 42.578 Data set 1: | cost: 28.376 Data set 1: | cost: 31.382 Data set 1: | cost: 27.264 Data set 1: | cost: 36.952 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 81 2.20 344 47 0.0 incomp 423 98 9.10 359 71 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 284.3 298.3 306.8 319.6 325.3 335.0 343.9 349.6 356.7 365.8 374.3 382.9 391.8 402.1 410.8 429.6 450.2 485.5 545.0 incomp 296.6 313.6 326.8 338.4 351.2 361.2 371.3 381.0 393.7 405.8 420.5 430.8 443.7 464.2 481.3 499.3 519.9 554.5 604.0 mean 290.5 305.9 316.8 329.0 338.2 348.1 357.6 365.3 375.2 385.8 397.4 406.9 417.7 433.1 446.0 464.5 485.1 520.0 574.5 effect 12.4 15.3 19.9 18.8 25.9 26.2 27.3 31.4 37.0 40.1 46.2 48.0 51.9 62.1 70.5 69.7 69.6 69.0 59.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.960 0.995 0.950 0.990 0.995 incomp 0.845 0.860 0.895 0.955 0.990 Data set 1: | cost: 0.065 Data set 1: | cost: 0.082 Data set 1: | cost: 0.074 Data set 1: | cost: 0.228 Data set 1: | cost: 0.462 Data set 1: | cost: 0.129 Data set 1: | cost: 0.103 Data set 1: | cost: 0.307 Data set 1: | cost: 0.154 Data set 1: | cost: 0.127 Data set 1: | cost: 0.076 Data set 1: | cost: 0.091 Data set 1: | cost: 0.071 Data set 1: | cost: 0.066 Data set 1: | cost: 0.071 Data set 1: | cost: 0.080 Data set 1: | cost: 0.085 Data set 1: | cost: 0.058 Data set 1: | cost: 0.066 Data set 1: | cost: 0.085 Data set 1: | cost: 0.057 DMC Parameters: amp:19.1 tau:56 drc:0.60 bnds:72 bndsRate:0.00 bndsSaturation:0 resMean:302 resSD:30 aaShape:2.5 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 399 83 1.00 344 69 0.0 incomp 440 85 4.60 348 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 301.8 315.1 325.1 335.0 344.3 350.8 359.8 367.0 374.4 381.3 389.6 397.8 411.1 420.3 433.5 452.6 475.6 502.2 558.8 incomp 322.3 343.0 355.8 371.9 383.5 393.3 403.7 411.1 420.2 432.5 443.5 452.9 462.6 473.4 485.9 498.8 516.3 543.8 587.2 mean 312.1 329.1 340.4 353.4 363.9 372.1 381.8 389.1 397.3 406.9 416.6 425.4 436.9 446.8 459.7 475.7 495.9 523.0 573.0 effect 20.5 27.8 30.7 36.8 39.2 42.5 43.8 44.1 45.8 51.2 53.9 55.1 51.5 53.1 52.4 46.2 40.7 41.5 28.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.965 1.000 1.000 0.990 0.995 incomp 0.840 0.960 0.970 1.000 1.000 Data set 1: | cost: 42.788 Data set 1: | cost: 49.349 Data set 1: | cost: 43.519 Data set 1: | cost: 33.527 Data set 1: | cost: 65.719 Data set 1: | cost: 71.136 Data set 1: | cost: 46.358 Data set 1: | cost: 45.181 Data set 1: | cost: 45.681 Data set 1: | cost: 45.100 Data set 1: | cost: 41.360 Data set 1: | cost: 41.951 Data set 1: | cost: 37.400 Data set 1: | cost: 39.951 Data set 1: | cost: 41.290 Data set 1: | cost: 34.029 Data set 1: | cost: 44.217 Data set 1: | cost: 35.700 Data set 1: | cost: 39.576 Data set 1: | cost: 35.836 Data set 1: | cost: 34.085 DMC Parameters: amp:20.0 tau:300 drc:0.57 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 83 1.50 383 60 0.0 incomp 458 104 4.10 356 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 306.7 321.2 333.8 344.4 355.4 364.2 374.3 383.2 391.3 401.2 409.8 418.7 429.2 441.4 455.4 475.2 500.4 529.8 573.1 incomp 322.2 338.2 354.7 365.8 380.5 394.1 404.9 414.6 428.3 444.2 454.0 469.1 482.5 500.2 518.8 536.8 564.8 605.8 653.6 mean 314.5 329.7 344.3 355.1 368.0 379.2 389.6 398.9 409.8 422.7 431.9 443.9 455.9 470.8 487.1 506.0 532.6 567.8 613.3 effect 15.4 16.9 20.9 21.4 25.0 29.9 30.6 31.4 37.0 43.1 44.3 50.4 53.3 58.8 63.4 61.6 64.5 76.0 80.6 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.970 0.995 0.985 0.995 incomp 0.875 0.945 0.985 0.995 0.995 Data set 1: | cost: 75.718 Data set 1: | cost: 72.414 Data set 1: | cost: 71.683 Data set 1: | cost: 65.254 Data set 1: | cost: 87.093 Data set 1: | cost: 97.965 Data set 1: | cost: 69.011 Data set 1: | cost: 71.083 Data set 1: | cost: 71.278 Data set 1: | cost: 56.924 Data set 1: | cost: 43.571 Data set 1: | cost: 47.662 Data set 1: | cost: 56.792 Data set 1: | cost: 54.094 Data set 1: | cost: 59.338 Data set 1: | cost: 54.407 Data set 1: | cost: 55.863 Data set 1: | cost: 44.185 Data set 1: | cost: 53.158 Data set 1: | cost: 35.601 Data set 1: | cost: 33.440 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 360 102 0.50 326 75 0.0 incomp 413 96 5.80 292 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 245.2 262.1 273.9 283.8 293.0 300.8 306.8 315.9 323.7 332.7 343.7 357.2 373.4 390.6 405.2 428.6 451.0 490.4 552.6 incomp 279.1 301.1 318.1 331.8 341.8 357.2 367.1 380.1 392.0 403.4 414.5 425.3 440.0 453.4 468.0 483.9 510.0 536.6 587.3 mean 262.2 281.6 296.0 307.8 317.4 329.0 336.9 348.0 357.8 368.1 379.1 391.2 406.7 422.0 436.6 456.3 480.5 513.5 570.0 effect 33.9 38.9 44.1 48.0 48.8 56.3 60.4 64.2 68.3 70.7 70.8 68.1 66.6 62.9 62.9 55.3 59.0 46.1 34.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.990 0.995 1.000 0.990 1.000 incomp 0.790 0.935 0.985 1.000 1.000 Data set 1: | cost: 0.202 Data set 1: | cost: 0.204 Data set 1: | cost: 0.162 Data set 1: | cost: 0.225 Data set 1: | cost: 0.310 Data set 1: | cost: 0.179 Data set 1: | cost: 0.164 Data set 1: | cost: 0.633 Data set 1: | cost: 0.178 Data set 1: | cost: 0.165 Data set 1: | cost: 0.147 Data set 1: | cost: 0.163 Data set 1: | cost: 0.159 Data set 1: | cost: 0.159 Data set 1: | cost: 0.152 Data set 1: | cost: 0.117 Data set 1: | cost: 0.101 Data set 1: | cost: 0.230 Data set 1: | cost: 0.171 Data set 1: | cost: 0.187 Data set 1: | cost: 0.157 DMC Parameters: amp:19.9 tau:59 drc:0.60 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:315 resSD:26 aaShape:2.5 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 415 84 1.10 406 86 0.0 incomp 457 84 4.10 360 65 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 323.1 335.1 343.7 351.6 358.5 364.9 371.7 377.2 385.3 391.7 399.4 410.4 420.1 434.2 450.2 469.2 496.7 525.7 580.8 incomp 344.0 361.9 373.9 388.1 398.1 408.0 418.0 426.3 433.9 442.4 456.5 465.1 475.8 486.0 501.1 517.6 534.8 566.4 621.7 mean 333.5 348.5 358.8 369.8 378.3 386.5 394.8 401.8 409.6 417.0 428.0 437.7 447.9 460.1 475.7 493.4 515.7 546.1 601.2 effect 20.9 26.8 30.2 36.4 39.6 43.2 46.3 49.1 48.6 50.7 57.1 54.7 55.6 51.8 50.9 48.4 38.1 40.7 40.8 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.990 1.000 0.990 0.985 incomp 0.845 0.960 1.000 1.000 0.990 Data set 1: | cost: 0.908 Data set 1: | cost: 1.052 Data set 1: | cost: 1.037 Data set 1: | cost: 1.399 Data set 1: | cost: 2.381 Data set 1: | cost: 0.997 Data set 1: | cost: 0.912 Data set 1: | cost: 0.420 Data set 1: | cost: 0.377 Data set 1: | cost: 0.195 Data set 1: | cost: 0.162 Data set 1: | cost: 0.200 Data set 1: | cost: 0.352 Data set 1: | cost: 0.159 Data set 1: | cost: 0.585 Data set 1: | cost: 0.316 Data set 1: | cost: 0.180 Data set 1: | cost: 0.711 Data set 1: | cost: 0.299 Data set 1: | cost: 1.381 Data set 1: | cost: 0.301 DMC Parameters: amp:20.4 tau:31 drc:0.60 bnds:71 bndsRate:0.00 bndsSaturation:0 resMean:260 resSD:33 aaShape:2.5 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 361 93 0.90 335 75 0.0 incomp 394 81 5.70 284 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 249.7 266.5 276.6 286.4 294.3 302.6 312.2 320.0 329.1 338.6 350.8 360.7 373.5 390.9 408.5 432.0 451.4 482.9 536.5 incomp 290.3 307.1 318.5 330.2 339.4 347.2 356.6 364.5 372.4 378.6 387.1 396.3 407.7 417.1 432.5 449.9 472.2 501.5 546.8 mean 270.0 286.8 297.5 308.3 316.8 324.9 334.4 342.3 350.8 358.6 369.0 378.5 390.6 404.0 420.5 440.9 461.8 492.2 541.6 effect 40.6 40.6 41.9 43.8 45.1 44.6 44.3 44.5 43.2 40.0 36.2 35.6 34.2 26.2 24.0 18.0 20.8 18.5 10.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.990 1.000 0.990 0.995 incomp 0.760 0.965 0.990 1.000 1.000 Iteration: 1 bestvalit: 38.549172 bestmemit: 1.493044 27.415158 0.775582 94.552937 305.937501 23.622027 2.783197 2.143636 Iteration: 2 bestvalit: 38.549172 bestmemit: 1.493044 27.415158 0.775582 94.552937 305.937501 23.622027 2.783197 2.143636 Iteration: 3 bestvalit: 20.350692 bestmemit: 14.635752 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 2.752994 Iteration: 4 bestvalit: 16.254794 bestmemit: 18.623435 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 5 bestvalit: 16.254794 bestmemit: 18.623435 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 6 bestvalit: 16.254794 bestmemit: 18.623435 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 7 bestvalit: 16.254794 bestmemit: 18.623435 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 8 bestvalit: 16.254794 bestmemit: 18.623435 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 9 bestvalit: 15.938866 bestmemit: 25.193573 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 10 bestvalit: 15.938866 bestmemit: 25.193573 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 11 bestvalit: 15.938866 bestmemit: 25.193573 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 12 bestvalit: 15.938866 bestmemit: 25.193573 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 13 bestvalit: 15.938866 bestmemit: 25.193573 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 14 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 15 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 16 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 17 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 18 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 19 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 Iteration: 20 bestvalit: 14.839280 bestmemit: 23.211843 77.172183 0.756981 66.811057 322.070301 37.160838 2.306413 2.352586 DMC Parameters: amp:23.2 tau:77 drc:0.76 bnds:67 bndsRate:0.00 bndsSaturation:0 resMean:322 resSD:37 aaShape:2.3 spShape:2.4 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 391 63 1.00 335 40 0.0 incomp 431 72 5.70 368 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 301.4 317.1 329.2 339.6 348.1 355.7 363.2 371.7 378.1 384.3 391.6 398.6 407.6 416.5 426.6 436.9 451.4 475.0 510.8 incomp 323.5 341.4 356.4 371.9 378.9 389.2 398.7 406.9 415.7 424.4 431.7 441.4 452.4 461.2 475.1 489.8 508.2 525.1 557.4 mean 312.5 329.2 342.8 355.8 363.5 372.5 380.9 389.3 396.9 404.4 411.7 420.0 430.0 438.8 450.8 463.4 479.8 500.1 534.1 effect 22.2 24.3 27.2 32.4 30.8 33.5 35.4 35.3 37.6 40.1 40.2 42.8 44.9 44.7 48.5 52.9 56.9 50.1 46.6 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.990 0.995 0.995 1.000 incomp 0.845 0.920 0.980 0.975 0.995 Iteration: 1 bestvalit: 0.366515 bestmemit: 23.395539 180.806041 0.828875 73.974456 338.352934 34.662538 1.709934 3.098264 Iteration: 2 bestvalit: 0.194826 bestmemit: 36.122266 243.707800 0.827657 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 3 bestvalit: 0.194826 bestmemit: 36.122266 243.707800 0.827657 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 4 bestvalit: 0.122956 bestmemit: 36.122266 243.707800 0.629904 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 5 bestvalit: 0.122956 bestmemit: 36.122266 243.707800 0.629904 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 6 bestvalit: 0.122956 bestmemit: 36.122266 243.707800 0.629904 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 7 bestvalit: 0.122956 bestmemit: 36.122266 243.707800 0.629904 53.587596 328.811809 36.227121 2.776850 3.520133 Iteration: 8 bestvalit: 0.112277 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 2.159471 2.003268 Iteration: 9 bestvalit: 0.112277 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 2.159471 2.003268 Iteration: 10 bestvalit: 0.112277 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 2.159471 2.003268 Iteration: 11 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 12 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 13 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 14 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 15 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 16 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 17 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 18 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 19 bestvalit: 0.065952 bestmemit: 13.678438 224.656511 0.541883 55.330506 300.375397 34.732063 1.659897 3.429912 Iteration: 20 bestvalit: 0.056466 bestmemit: 19.618556 17.360801 0.627923 42.790348 345.835109 46.522160 1.582805 3.573518 DMC Parameters: amp:19.6 tau:17 drc:0.63 bnds:43 bndsRate:0.00 bndsSaturation:0 resMean:346 resSD:47 aaShape:1.6 spShape:3.6 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 410 75 6.00 408 55 0.0 incomp 410 63 8.90 363 50 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 301.5 321.6 333.5 346.0 358.3 368.3 378.7 386.7 394.5 401.4 410.9 419.1 428.7 440.0 453.9 469.0 486.2 506.1 540.8 incomp 314.3 334.4 348.2 357.4 365.7 374.9 382.2 389.4 398.7 406.0 413.8 420.7 430.7 437.0 445.1 458.0 471.9 490.0 522.1 mean 307.9 328.0 340.8 351.7 362.0 371.6 380.4 388.1 396.6 403.7 412.4 419.9 429.7 438.5 449.5 463.5 479.1 498.1 531.4 effect 12.8 12.9 14.7 11.4 7.4 6.5 3.6 2.7 4.3 4.6 2.9 1.6 2.0 -3.0 -8.9 -11.0 -14.2 -16.1 -18.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 0.890 0.960 0.925 0.955 incomp 0.790 0.910 0.915 0.960 0.980 Iteration: 1 bestvalit: 24.284675 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772 Iteration: 2 bestvalit: 24.284675 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772 Iteration: 3 bestvalit: 24.284675 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772 Iteration: 4 bestvalit: 24.284675 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772 Iteration: 5 bestvalit: 24.284675 bestmemit: 19.431786 62.673087 0.772544 94.325145 289.499259 7.346435 2.676741 3.048772 Iteration: 6 bestvalit: 23.887129 bestmemit: 17.626358 298.847298 0.936657 114.392049 299.374140 24.232827 1.575845 2.703996 Iteration: 7 bestvalit: 22.635490 bestmemit: 17.626358 292.105326 0.936657 114.392049 299.374140 24.232827 1.575845 2.703996 Iteration: 8 bestvalit: 22.318742 bestmemit: 26.514862 56.560044 0.931334 87.841812 343.441268 22.791211 1.589100 3.105490 Iteration: 9 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 10 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 11 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 12 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 13 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 14 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 15 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 16 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 17 bestvalit: 18.922709 bestmemit: 9.539996 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 18 bestvalit: 18.541587 bestmemit: 14.663239 89.819500 0.913695 59.262899 364.264333 31.762621 2.293012 2.082274 Iteration: 19 bestvalit: 18.538940 bestmemit: 23.608483 31.877664 0.791905 76.403078 332.203144 37.487104 2.186214 2.942652 Iteration: 20 bestvalit: 18.538940 bestmemit: 23.608483 31.877664 0.791905 76.403078 332.203144 37.487104 2.186214 2.942652 DMC Parameters: amp:23.6 tau:32 drc:0.79 bnds:76 bndsRate:0.00 bndsSaturation:0 resMean:332 resSD:37 aaShape:2.2 spShape:2.9 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 413 78 0.60 371 44 0.0 incomp 440 63 4.10 348 35 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 310.0 324.3 336.7 347.4 358.3 365.6 372.7 383.1 394.0 403.4 411.3 422.2 432.2 442.4 454.0 470.7 492.2 510.6 552.9 incomp 349.3 368.1 380.4 389.7 398.2 406.4 412.2 419.5 425.0 433.2 441.8 448.4 457.3 466.5 476.8 489.7 502.1 521.0 552.9 mean 329.7 346.2 358.6 368.5 378.3 386.0 392.5 401.3 409.5 418.3 426.5 435.3 444.7 454.5 465.4 480.2 497.1 515.8 552.9 effect 39.3 43.8 43.7 42.3 39.9 40.8 39.5 36.4 31.0 29.8 30.6 26.2 25.0 24.1 22.9 19.0 9.9 10.4 -0.0 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.995 0.985 0.995 0.995 1.000 incomp 0.820 0.980 0.995 1.000 1.000 Iteration: 1 bestvalit: 34.850601 bestmemit: 22.883938 258.295960 0.561845 32.412744 325.934208 31.705746 2.242051 3.278935 Iteration: 2 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 3 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 4 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 5 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 6 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 7 bestvalit: 26.362528 bestmemit: 38.560373 9.619762 0.957890 71.641744 307.162859 30.520127 2.494719 2.151352 Iteration: 8 bestvalit: 25.947815 bestmemit: 39.175641 124.360452 0.947575 30.564465 351.997402 54.493893 1.152082 3.245083 Iteration: 9 bestvalit: 25.947815 bestmemit: 39.175641 124.360452 0.947575 30.564465 351.997402 54.493893 1.152082 3.245083 Iteration: 10 bestvalit: 25.947815 bestmemit: 39.175641 124.360452 0.947575 30.564465 351.997402 54.493893 1.152082 3.245083 Iteration: 11 bestvalit: 25.947815 bestmemit: 39.175641 124.360452 0.947575 30.564465 351.997402 54.493893 1.152082 3.245083 Iteration: 12 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 13 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 14 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 15 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 16 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 17 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 18 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 19 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 Iteration: 20 bestvalit: 23.227880 bestmemit: 34.758926 156.000546 0.973973 40.894570 320.930850 55.655573 1.388728 3.505764 DMC Parameters: amp:34.8 tau:156 drc:0.97 bnds:41 bndsRate:0.00 bndsSaturation:0 resMean:321 resSD:56 aaShape:1.4 spShape:3.5 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 343 58 0.30 370 68 0.0 incomp 388 65 13.20 338 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 243.9 266.4 282.1 293.8 303.8 314.1 321.1 329.6 336.7 343.8 350.6 357.6 364.1 373.8 382.5 392.8 404.8 418.1 437.4 incomp 279.6 306.9 321.6 332.2 345.6 355.0 363.2 369.8 379.3 387.7 395.2 403.6 413.5 421.1 430.7 441.8 454.2 469.6 492.5 mean 261.8 286.7 301.8 313.0 324.7 334.5 342.1 349.7 358.0 365.8 372.9 380.6 388.8 397.4 406.6 417.3 429.5 443.8 464.9 effect 35.7 40.5 39.5 38.5 41.8 40.8 42.1 40.1 42.6 43.9 44.6 46.0 49.3 47.3 48.2 48.9 49.4 51.5 55.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.995 1.000 1.000 1.000 0.990 incomp 0.740 0.805 0.880 0.940 0.975 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 0.67 472 96 0.0 incomp 458 94 1.27 405 92 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.3 354.6 374.4 394.5 416.9 442.0 472.3 513.0 578.8 incomp 363.6 385.6 403.3 420.4 438.0 457.8 483.0 518.1 578.9 mean 347.4 370.1 388.9 407.4 427.5 449.9 477.7 515.5 578.9 effect 32.3 31.1 29.0 25.9 21.1 15.7 10.6 5.1 0.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.989 0.992 incomp 0.966 0.990 0.994 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 0.64 479 94 0.0 incomp 459 95 1.32 401 89 0.0 Delta Values (Correct): 10.0% 30.0% 50.0% 70.0% 90.0% comp 332.0 375.1 417.1 472.2 577.0 incomp 363.7 403.9 438.5 483.9 579.8 mean 347.8 389.5 427.8 478.1 578.4 effect 31.7 28.9 21.4 11.6 2.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.992 0.990 0.991 incomp 0.965 0.988 0.993 0.994 0.994 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 0.67 474 99 0.0 incomp 458 94 1.26 412 100 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.8 355.0 375.0 395.2 417.4 442.4 472.2 512.2 578.4 incomp 363.4 385.3 403.3 420.2 438.1 458.2 483.5 518.4 579.3 mean 347.6 370.2 389.1 407.7 427.7 450.3 477.8 515.3 578.9 effect 31.6 30.3 28.3 25.1 20.7 15.8 11.3 6.2 0.8 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.990 0.991 incomp 0.969 0.989 0.993 0.994 0.992 Data set 1: | cost: 38.877 Data set 1: | cost: 37.515 Data set 1: | cost: 40.672 Data set 1: | cost: 34.270 Data set 1: | cost: 56.042 Data set 1: | cost: 58.249 Data set 1: | cost: 43.522 Data set 1: | cost: 39.708 Data set 1: | cost: 45.547 Data set 1: | cost: 31.508 Data set 1: | cost: 43.784 Data set 1: | cost: 24.545 Data set 1: | cost: 22.870 Data set 1: | cost: 27.593 Data set 1: | cost: 25.127 Data set 1: | cost: 28.897 Data set 1: | cost: 28.610 Data set 1: | cost: 25.384 Data set 1: | cost: 27.927 Data set 1: | cost: 25.423 Data set 1: | cost: 25.257 Data set 1: | cost: 25.517 Data set 1: | cost: 26.880 Data set 1: | cost: 31.782 Data set 1: | cost: 24.361 Data set 1: | cost: 28.451 Data set 1: | cost: 25.784 Data set 1: | cost: 17.299 Data set 1: | cost: 18.739 Data set 1: | cost: 28.818 Data set 1: | cost: 23.445 Data set 1: | cost: 18.813 Data set 1: | cost: 19.659 Data set 1: | cost: 23.280 Data set 1: | cost: 22.550 Data set 1: | cost: 18.509 Data set 1: | cost: 22.696 Data set 1: | cost: 18.278 Data set 1: | cost: 20.297 Data set 1: | cost: 26.799 Data set 1: | cost: 23.861 Data set 1: | cost: 19.236 Data set 1: | cost: 21.159 Data set 1: | cost: 18.972 Data set 1: | cost: 19.124 Data set 1: | cost: 15.722 Data set 1: | cost: 23.045 Data set 1: | cost: 21.903 Data set 1: | cost: 22.466 Data set 1: | cost: 17.301 Data set 1: | cost: 12.877 Data set 1: | cost: 25.419 Data set 1: | cost: 18.502 Data set 1: | cost: 19.963 Data set 1: | cost: 18.671 Data set 1: | cost: 21.779 Data set 1: | cost: 18.548 Data set 1: | cost: 19.737 Data set 1: | cost: 18.293 Data set 1: | cost: 18.707 Data set 1: | cost: 17.661 Data set 1: | cost: 16.031 Data set 1: | cost: 17.854 Data set 1: | cost: 16.585 Data set 1: | cost: 18.225 Data set 1: | cost: 16.047 Data set 1: | cost: 17.476 Data set 1: | cost: 17.074 Data set 1: | cost: 16.262 Data set 1: | cost: 15.180 Data set 1: | cost: 17.174 Data set 1: | cost: 17.273 Data set 1: | cost: 15.709 Data set 1: | cost: 14.249 Data set 1: | cost: 13.056 Data set 1: | cost: 18.485 Data set 1: | cost: 16.023 Data set 1: | cost: 16.189 Data set 1: | cost: 14.710 Data set 1: | cost: 17.287 Data set 1: | cost: 15.864 Data set 1: | cost: 17.213 Data set 1: | cost: 24.056 Data set 1: | cost: 13.386 Data set 1: | cost: 15.818 Data set 1: | cost: 17.821 Data set 1: | cost: 14.975 Data set 1: | cost: 17.926 Data set 1: | cost: 15.149 Data set 1: | cost: 13.637 Data set 1: | cost: 14.584 Data set 1: | cost: 15.265 Data set 1: | cost: 22.215 Data set 1: | cost: 15.618 Data set 1: | cost: 14.244 Data set 1: | cost: 16.756 Data set 1: | cost: 15.536 Data set 1: | cost: 19.091 Data set 1: | cost: 18.911 Data set 1: | cost: 14.361 Data set 1: | cost: 13.570 Data set 1: | cost: 19.112 Data set 1: | cost: 13.671 Data set 1: | cost: 18.715 Data set 1: | cost: 15.477 Data set 1: | cost: 16.612 Data set 1: | cost: 13.495 Data set 1: | cost: 18.859 Data set 1: | cost: 16.703 Data set 1: | cost: 13.884 Data set 1: | cost: 14.009 Data set 1: | cost: 16.129 Data set 1: | cost: 19.702 Data set 1: | cost: 13.433 Data set 1: | cost: 19.086 Data set 1: | cost: 15.888 Data set 1: | cost: 17.522 Data set 1: | cost: 17.379 Data set 1: | cost: 14.638 Data set 1: | cost: 15.636 Data set 1: | cost: 12.319 Data set 1: | cost: 15.029 Data set 1: | cost: 15.914 Data set 1: | cost: 15.211 Data set 1: | cost: 16.351 Data set 1: | cost: 18.212 Data set 1: | cost: 14.956 Data set 1: | cost: 16.293 Data set 1: | cost: 15.604 Data set 1: | cost: 17.452 Data set 1: | cost: 19.540 Data set 1: | cost: 16.144 Data set 1: | cost: 16.332 Data set 1: | cost: 21.102 Data set 1: | cost: 14.532 Data set 1: | cost: 12.405 Data set 1: | cost: 13.853 Data set 1: | cost: 16.914 Data set 1: | cost: 17.093 Data set 1: | cost: 18.333 Data set 1: | cost: 19.404 Data set 1: | cost: 16.408 Data set 1: | cost: 20.653 Data set 1: | cost: 20.794 Data set 1: | cost: 17.231 Data set 1: | cost: 15.404 Data set 1: | cost: 19.339 Data set 1: | cost: 16.999 Data set 1: | cost: 17.654 Data set 1: | cost: 13.858 Data set 1: | cost: 15.342 Data set 1: | cost: 18.360 Data set 1: | cost: 16.976 Data set 1: | cost: 16.438 Data set 1: | cost: 16.766 Data set 1: | cost: 20.354 Data set 1: | cost: 16.335 Data set 1: | cost: 16.166 Data set 1: | cost: 13.219 Data set 1: | cost: 18.887 Data set 1: | cost: 16.089 Data set 1: | cost: 19.051 Data set 1: | cost: 11.990 Data set 1: | cost: 14.585 Data set 1: | cost: 15.962 Data set 1: | cost: 15.407 Data set 1: | cost: 15.478 Data set 1: | cost: 15.230 Data set 1: | cost: 16.904 Data set 1: | cost: 17.643 Data set 1: | cost: 16.350 Data set 1: | cost: 17.128 Data set 1: | cost: 14.499 Data set 1: | cost: 16.585 Data set 1: | cost: 15.788 Data set 1: | cost: 14.346 Data set 1: | cost: 16.800 Data set 1: | cost: 12.117 Data set 1: | cost: 14.730 Data set 1: | cost: 15.117 Data set 1: | cost: 13.281 Data set 1: | cost: 18.147 Data set 1: | cost: 12.365 Data set 1: | cost: 18.606 Data set 1: | cost: 16.090 Data set 1: | cost: 13.773 Data set 1: | cost: 16.893 Data set 1: | cost: 15.597 Data set 1: | cost: 14.290 Data set 1: | cost: 12.678 Data set 1: | cost: 17.404 Data set 1: | cost: 13.040 Data set 1: | cost: 14.602 Data set 1: | cost: 14.937 Data set 1: | cost: 15.469 Data set 1: | cost: 13.508 Data set 1: | cost: 19.548 Data set 1: | cost: 15.239 Data set 1: | cost: 12.213 Data set 1: | cost: 16.864 Data set 1: | cost: 16.319 Data set 1: | cost: 14.365 Data set 1: | cost: 17.946 Data set 1: | cost: 17.321 Data set 1: | cost: 16.646 Data set 1: | cost: 17.308 Data set 1: | cost: 19.053 Data set 1: | cost: 15.322 Data set 1: | cost: 14.482 Data set 1: | cost: 12.806 Data set 1: | cost: 20.520 Data set 1: | cost: 17.433 Data set 1: | cost: 15.057 Data set 1: | cost: 16.511 Data set 1: | cost: 13.284 Data set 1: | cost: 16.602 Data set 1: | cost: 16.154 Data set 1: | cost: 17.063 Data set 1: | cost: 15.763 Data set 1: | cost: 19.705 Data set 1: | cost: 17.593 Data set 1: | cost: 16.583 Data set 1: | cost: 17.165 Data set 1: | cost: 17.002 Data set 1: | cost: 14.453 Data set 1: | cost: 14.500 Data set 1: | cost: 15.987 Data set 1: | cost: 13.813 Data set 1: | cost: 15.660 Data set 1: | cost: 14.986 Data set 1: | cost: 15.327 Data set 1: | cost: 14.425 Data set 1: | cost: 13.793 Data set 1: | cost: 14.880 Data set 1: | cost: 12.556 Data set 1: | cost: 17.813 Data set 1: | cost: 19.323 Data set 1: | cost: 15.609 Data set 1: | cost: 14.949 Data set 1: | cost: 14.003 Data set 1: | cost: 13.656 Data set 1: | cost: 19.125 Data set 1: | cost: 12.697 Data set 1: | cost: 17.468 Data set 1: | cost: 14.877 Data set 1: | cost: 15.586 Data set 1: | cost: 13.098 Data set 1: | cost: 13.878 Data set 1: | cost: 14.133 Data set 1: | cost: 14.247 Data set 1: | cost: 13.181 Data set 1: | cost: 15.295 Data set 1: | cost: 16.570 Data set 1: | cost: 13.298 Data set 1: | cost: 14.252 Data set 1: | cost: 15.022 Data set 1: | cost: 16.407 Data set 1: | cost: 16.756 Data set 1: | cost: 12.976 Data set 1: | cost: 15.166 Data set 1: | cost: 15.206 Data set 1: | cost: 15.552 Data set 1: | cost: 13.208 Data set 1: | cost: 15.997 Data set 1: | cost: 16.097 Data set 1: | cost: 16.320 Data set 1: | cost: 13.904 Data set 1: | cost: 13.063 Data set 1: | cost: 17.724 Data set 1: | cost: 12.706 Data set 1: | cost: 16.403 Data set 1: | cost: 15.513 Data set 1: | cost: 15.714 Data set 1: | cost: 13.447 Data set 1: | cost: 20.100 Data set 1: | cost: 13.730 Data set 1: | cost: 16.170 Data set 1: | cost: 16.152 Data set 1: | cost: 18.796 Data set 1: | cost: 14.293 Data set 1: | cost: 18.270 Data set 1: | cost: 17.269 Data set 1: | cost: 17.246 Data set 1: | cost: 16.227 Data set 1: | cost: 12.993 Data set 1: | cost: 17.692 Data set 1: | cost: 16.661 Data set 1: | cost: 15.322 Data set 1: | cost: 16.996 Data set 1: | cost: 13.871 Data set 1: | cost: 18.861 Data set 1: | cost: 16.856 Data set 1: | cost: 15.136 Data set 1: | cost: 13.923 Data set 1: | cost: 15.925 Data set 1: | cost: 13.343 Data set 1: | cost: 16.314 Data set 1: | cost: 16.551 Data set 1: | cost: 15.320 Data set 1: | cost: 11.717 Data set 1: | cost: 18.351 Data set 1: | cost: 15.026 Data set 1: | cost: 14.568 Data set 1: | cost: 20.235 Data set 1: | cost: 15.601 Data set 1: | cost: 16.259 Data set 1: | cost: 14.770 Data set 1: | cost: 16.710 Data set 1: | cost: 13.956 Data set 1: | cost: 13.533 Data set 1: | cost: 15.493 Data set 1: | cost: 19.965 Data set 1: | cost: 17.973 Data set 1: | cost: 14.923 Data set 1: | cost: 12.034 Data set 1: | cost: 17.203 Data set 1: | cost: 18.933 Data set 1: | cost: 16.075 Data set 1: | cost: 15.587 Data set 1: | cost: 16.858 Data set 1: | cost: 21.799 Data set 1: | cost: 16.073 Data set 1: | cost: 18.368 Data set 1: | cost: 21.573 Data set 1: | cost: 17.367 Data set 1: | cost: 16.492 Data set 1: | cost: 16.168 Data set 1: | cost: 14.925 Data set 1: | cost: 21.216 Data set 1: | cost: 13.130 Data set 1: | cost: 17.605 Data set 1: | cost: 21.330 Data set 1: | cost: 16.673 Data set 1: | cost: 18.542 Data set 1: | cost: 16.670 Data set 1: | cost: 19.903 Data set 1: | cost: 15.316 Data set 1: | cost: 16.863 Data set 1: | cost: 15.288 Data set 1: | cost: 14.668 Data set 1: | cost: 18.830 Data set 1: | cost: 15.044 Data set 1: | cost: 16.747 Data set 1: | cost: 16.258 Data set 1: | cost: 16.570 Data set 1: | cost: 16.638 Data set 1: | cost: 15.684 Data set 1: | cost: 15.361 Data set 1: | cost: 15.545 Data set 1: | cost: 16.342 Data set 1: | cost: 17.019 Data set 1: | cost: 14.864 Data set 1: | cost: 13.260 Data set 1: | cost: 16.021 Data set 1: | cost: 20.348 Data set 1: | cost: 15.431 Data set 1: | cost: 17.198 Data set 1: | cost: 17.016 Data set 1: | cost: 15.593 Data set 1: | cost: 17.426 Data set 1: | cost: 16.722 Data set 1: | cost: 18.256 Data set 1: | cost: 19.662 Data set 1: | cost: 15.287 Data set 1: | cost: 11.448 Data set 1: | cost: 13.015 Data set 1: | cost: 18.141 Data set 1: | cost: 13.955 Data set 1: | cost: 13.878 Data set 1: | cost: 14.913 Data set 1: | cost: 16.005 Data set 1: | cost: 15.379 Data set 1: | cost: 17.337 Data set 1: | cost: 12.655 Data set 1: | cost: 15.164 Data set 1: | cost: 20.098 Data set 1: | cost: 11.809 Data set 1: | cost: 17.876 Data set 1: | cost: 13.908 Data set 1: | cost: 15.995 Data set 1: | cost: 16.535 Data set 1: | cost: 16.856 Data set 1: | cost: 15.755 Data set 1: | cost: 14.332 Data set 1: | cost: 16.037 Data set 1: | cost: 15.915 Data set 1: | cost: 16.426 Data set 1: | cost: 12.479 Data set 1: | cost: 17.997 Data set 1: | cost: 18.250 Data set 1: | cost: 18.630 Data set 1: | cost: 16.091 Data set 1: | cost: 13.883 Data set 1: | cost: 17.090 Data set 1: | cost: 13.818 Data set 1: | cost: 14.068 Data set 1: | cost: 14.584 Data set 1: | cost: 18.496 Data set 1: | cost: 16.622 Data set 1: | cost: 15.343 Data set 1: | cost: 18.198 Data set 1: | cost: 19.005 Data set 1: | cost: 14.086 Data set 1: | cost: 15.136 Data set 1: | cost: 17.689 Data set 1: | cost: 20.176 Data set 1: | cost: 13.573 Data set 1: | cost: 16.323 Data set 1: | cost: 17.034 Data set 1: | cost: 15.625 Data set 1: | cost: 13.528 Data set 1: | cost: 13.337 Data set 1: | cost: 15.762 Data set 1: | cost: 15.963 Data set 1: | cost: 19.658 Data set 1: | cost: 16.045 Data set 1: | cost: 16.467 Data set 1: | cost: 15.571 Data set 1: | cost: 18.246 Data set 1: | cost: 15.440 Data set 1: | cost: 16.122 Data set 1: | cost: 16.942 Data set 1: | cost: 12.405 Data set 1: | cost: 16.946 Data set 1: | cost: 16.976 Data set 1: | cost: 15.049 Data set 1: | cost: 15.520 Data set 1: | cost: 16.994 Data set 1: | cost: 20.963 Data set 1: | cost: 18.435 Data set 1: | cost: 17.246 Data set 1: | cost: 15.154 Data set 1: | cost: 16.763 Data set 1: | cost: 14.542 Data set 1: | cost: 16.584 Data set 1: | cost: 13.453 Data set 1: | cost: 14.303 Data set 1: | cost: 15.424 Data set 1: | cost: 14.632 Data set 1: | cost: 16.921 Data set 1: | cost: 14.997 Data set 1: | cost: 17.669 Data set 1: | cost: 17.372 Data set 1: | cost: 16.183 Data set 1: | cost: 13.559 Data set 1: | cost: 15.344 Data set 1: | cost: 18.752 Data set 1: | cost: 18.136 Data set 1: | cost: 15.274 Data set 1: | cost: 14.703 Data set 1: | cost: 15.222 Data set 1: | cost: 17.792 Data set 1: | cost: 18.242 Data set 1: | cost: 17.755 Data set 1: | cost: 14.839 Data set 1: | cost: 12.836 Data set 1: | cost: 16.205 Data set 1: | cost: 18.456 Data set 1: | cost: 16.160 Data set 1: | cost: 16.448 Data set 1: | cost: 17.370 Data set 1: | cost: 17.984 Data set 1: | cost: 14.459 Data set 1: | cost: 16.579 Data set 1: | cost: 14.618 Data set 1: | cost: 13.545 Data set 1: | cost: 12.967 Data set 1: | cost: 15.920 Data set 1: | cost: 12.751 Data set 1: | cost: 14.461 Data set 1: | cost: 14.882 Data set 1: | cost: 15.285 Data set 1: | cost: 15.946 Data set 1: | cost: 12.571 Data set 1: | cost: 13.953 Data set 1: | cost: 19.267 Data set 1: | cost: 15.843 Data set 1: | cost: 12.819 Data set 1: | cost: 16.940 Data set 1: | cost: 14.088 Data set 1: | cost: 14.522 Data set 1: | cost: 14.533 Data set 1: | cost: 14.473 Data set 1: | cost: 15.584 Data set 1: | cost: 14.715 Data set 1: | cost: 13.584 Data set 1: | cost: 14.493 Data set 1: | cost: 16.389 Data set 1: | cost: 18.293 Data set 1: | cost: 18.030 Data set 1: | cost: 20.194 Data set 1: | cost: 18.236 Data set 1: | cost: 14.891 Data set 1: | cost: 18.580 Data set 1: | cost: 18.424 Data set 1: | cost: 14.413 Data set 1: | cost: 16.659 Data set 1: | cost: 14.651 Data set 1: | cost: 14.674 Data set 1: | cost: 18.230 Data set 1: | cost: 16.966 DMC Parameters: amp:21.0 tau:147 drc:0.54 bnds:59 bndsRate:0.00 bndsSaturation:0 resMean:308 resSD:31 aaShape:2.1 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 390 72 1.70 345 58 0.0 incomp 434 87 9.00 373 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 298.0 315.6 326.0 335.4 341.9 346.8 353.5 361.7 369.8 378.8 385.5 395.1 403.7 414.4 425.2 437.8 452.6 473.3 523.9 incomp 313.0 331.2 349.0 360.4 369.3 379.2 390.7 400.0 411.9 421.9 435.3 445.9 456.4 471.6 485.5 502.2 524.0 544.7 590.7 mean 305.5 323.4 337.5 347.9 355.6 363.0 372.1 380.8 390.9 400.4 410.4 420.5 430.0 443.0 455.3 470.0 488.3 509.0 557.3 effect 15.0 15.6 23.0 25.0 27.4 32.5 37.2 38.3 42.1 43.1 49.8 50.8 52.7 57.2 60.3 64.5 71.4 71.3 66.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.955 0.995 0.990 0.975 1.000 incomp 0.805 0.895 0.915 0.955 0.980 Data set 1: | cost: 49.807 Data set 1: | cost: 46.069 Data set 1: | cost: 46.484 Data set 1: | cost: 39.074 Data set 1: | cost: 61.813 Data set 1: | cost: 67.984 Data set 1: | cost: 52.982 Data set 1: | cost: 53.443 Data set 1: | cost: 44.559 Data set 1: | cost: 37.676 Data set 1: | cost: 46.283 Data set 1: | cost: 36.357 Data set 1: | cost: 31.545 Data set 1: | cost: 30.630 Data set 1: | cost: 23.510 Data set 1: | cost: 30.185 Data set 1: | cost: 34.093 Data set 1: | cost: 24.684 Data set 1: | cost: 28.669 Data set 1: | cost: 28.895 Data set 1: | cost: 30.065 Data set 1: | cost: 32.355 Data set 1: | cost: 27.167 Data set 1: | cost: 39.235 Data set 1: | cost: 30.536 Data set 1: | cost: 37.831 Data set 1: | cost: 30.091 Data set 1: | cost: 29.557 Data set 1: | cost: 23.550 Data set 1: | cost: 30.664 Data set 1: | cost: 24.868 Data set 1: | cost: 29.707 Data set 1: | cost: 31.361 Data set 1: | cost: 30.110 Data set 1: | cost: 27.690 Data set 1: | cost: 28.586 Data set 1: | cost: 29.355 Data set 1: | cost: 28.629 Data set 1: | cost: 27.305 Data set 1: | cost: 25.602 Data set 1: | cost: 28.465 Data set 1: | cost: 29.942 Data set 1: | cost: 27.928 Data set 1: | cost: 26.078 Data set 1: | cost: 28.637 Data set 1: | cost: 25.580 Data set 1: | cost: 28.574 Data set 1: | cost: 29.507 Data set 1: | cost: 25.666 Data set 1: | cost: 27.562 Data set 1: | cost: 27.050 Data set 1: | cost: 31.828 Data set 1: | cost: 28.174 Data set 1: | cost: 25.552 Data set 1: | cost: 25.472 Data set 1: | cost: 28.084 Data set 1: | cost: 25.745 Data set 1: | cost: 30.165 Data set 1: | cost: 23.740 Data set 1: | cost: 30.241 Data set 1: | cost: 25.987 Data set 1: | cost: 24.728 Data set 1: | cost: 29.466 Data set 1: | cost: 24.412 Data set 1: | cost: 24.053 Data set 1: | cost: 26.691 Data set 1: | cost: 26.865 Data set 1: | cost: 27.337 Data set 1: | cost: 29.824 Data set 1: | cost: 28.415 Data set 1: | cost: 28.154 Data set 1: | cost: 25.271 Data set 1: | cost: 26.071 Data set 1: | cost: 27.929 Data set 1: | cost: 22.688 Data set 1: | cost: 27.762 Data set 1: | cost: 26.222 Data set 1: | cost: 24.939 Data set 1: | cost: 27.519 Data set 1: | cost: 26.432 Data set 1: | cost: 24.338 Data set 1: | cost: 27.514 Data set 1: | cost: 24.725 Data set 1: | cost: 27.615 Data set 1: | cost: 23.989 Data set 1: | cost: 26.917 Data set 1: | cost: 27.835 Data set 1: | cost: 24.775 Data set 1: | cost: 22.085 Data set 1: | cost: 25.759 Data set 1: | cost: 28.236 Data set 1: | cost: 30.851 Data set 1: | cost: 24.392 Data set 1: | cost: 25.615 Data set 1: | cost: 28.877 Data set 1: | cost: 26.884 Data set 1: | cost: 25.484 Data set 1: | cost: 27.160 Data set 1: | cost: 28.021 Data set 1: | cost: 26.816 Data set 1: | cost: 27.408 Data set 1: | cost: 28.206 Data set 1: | cost: 24.080 Data set 1: | cost: 26.668 Data set 1: | cost: 25.631 Data set 1: | cost: 24.361 Data set 1: | cost: 24.169 Data set 1: | cost: 28.098 Data set 1: | cost: 24.977 Data set 1: | cost: 25.744 Data set 1: | cost: 27.277 Data set 1: | cost: 25.224 Data set 1: | cost: 25.117 Data set 1: | cost: 25.755 Data set 1: | cost: 28.557 Data set 1: | cost: 27.377 Data set 1: | cost: 23.950 Data set 1: | cost: 26.516 Data set 1: | cost: 23.478 Data set 1: | cost: 26.686 Data set 1: | cost: 28.639 Data set 1: | cost: 28.901 Data set 1: | cost: 24.074 Data set 1: | cost: 26.432 Data set 1: | cost: 27.159 Data set 1: | cost: 26.027 Data set 1: | cost: 24.654 Data set 1: | cost: 28.379 Data set 1: | cost: 24.094 Data set 1: | cost: 26.053 Data set 1: | cost: 29.151 Data set 1: | cost: 24.871 Data set 1: | cost: 29.484 Data set 1: | cost: 30.841 Data set 1: | cost: 27.720 Data set 1: | cost: 25.746 Data set 1: | cost: 23.158 Data set 1: | cost: 25.973 Data set 1: | cost: 23.061 Data set 1: | cost: 26.843 Data set 1: | cost: 26.401 Data set 1: | cost: 27.265 Data set 1: | cost: 25.223 Data set 1: | cost: 28.988 Data set 1: | cost: 28.527 Data set 1: | cost: 25.403 Data set 1: | cost: 25.494 Data set 1: | cost: 28.106 Data set 1: | cost: 28.122 Data set 1: | cost: 25.755 Data set 1: | cost: 26.655 Data set 1: | cost: 27.056 Data set 1: | cost: 23.607 Data set 1: | cost: 22.686 Data set 1: | cost: 24.756 Data set 1: | cost: 23.104 Data set 1: | cost: 29.720 Data set 1: | cost: 26.245 Data set 1: | cost: 27.219 Data set 1: | cost: 24.210 Data set 1: | cost: 25.834 Data set 1: | cost: 25.878 Data set 1: | cost: 25.442 Data set 1: | cost: 23.568 Data set 1: | cost: 23.558 Data set 1: | cost: 24.523 Data set 1: | cost: 25.041 Data set 1: | cost: 27.027 Data set 1: | cost: 28.733 Data set 1: | cost: 22.884 Data set 1: | cost: 23.962 Data set 1: | cost: 28.218 Data set 1: | cost: 23.257 Data set 1: | cost: 28.079 Data set 1: | cost: 29.173 Data set 1: | cost: 26.155 Data set 1: | cost: 27.565 Data set 1: | cost: 26.491 Data set 1: | cost: 26.544 Data set 1: | cost: 27.437 Data set 1: | cost: 28.218 Data set 1: | cost: 23.859 Data set 1: | cost: 24.238 Data set 1: | cost: 25.594 Data set 1: | cost: 29.530 Data set 1: | cost: 21.787 Data set 1: | cost: 26.228 Data set 1: | cost: 26.541 Data set 1: | cost: 26.132 Data set 1: | cost: 25.061 Data set 1: | cost: 26.702 Data set 1: | cost: 27.210 Data set 1: | cost: 26.199 Data set 1: | cost: 26.603 Data set 1: | cost: 24.618 Data set 1: | cost: 27.184 Data set 1: | cost: 29.053 Data set 1: | cost: 28.100 Data set 1: | cost: 26.080 Data set 1: | cost: 24.827 Data set 1: | cost: 26.279 Data set 1: | cost: 24.163 Data set 1: | cost: 25.267 Data set 1: | cost: 27.014 Data set 1: | cost: 27.744 Data set 1: | cost: 25.766 Data set 1: | cost: 27.112 Data set 1: | cost: 25.005 Data set 1: | cost: 26.008 Data set 1: | cost: 28.959 Data set 1: | cost: 27.748 Data set 1: | cost: 25.811 Data set 1: | cost: 27.091 Data set 1: | cost: 24.480 Data set 1: | cost: 29.479 Data set 1: | cost: 24.636 Data set 1: | cost: 23.517 Data set 1: | cost: 25.356 Data set 1: | cost: 25.977 Data set 1: | cost: 27.643 Data set 1: | cost: 25.867 Data set 1: | cost: 27.509 Data set 1: | cost: 22.805 Data set 1: | cost: 27.057 Data set 1: | cost: 25.582 Data set 1: | cost: 29.216 Data set 1: | cost: 25.618 Data set 1: | cost: 26.967 Data set 1: | cost: 23.718 Data set 1: | cost: 30.789 Data set 1: | cost: 26.872 Data set 1: | cost: 26.292 Data set 1: | cost: 26.797 Data set 1: | cost: 27.329 Data set 1: | cost: 25.330 Data set 1: | cost: 26.035 Data set 1: | cost: 22.561 Data set 1: | cost: 26.837 Data set 1: | cost: 26.984 Data set 1: | cost: 25.961 Data set 1: | cost: 24.104 Data set 1: | cost: 26.076 Data set 1: | cost: 24.046 Data set 1: | cost: 25.778 Data set 1: | cost: 29.219 Data set 1: | cost: 21.716 Data set 1: | cost: 30.790 Data set 1: | cost: 26.942 Data set 1: | cost: 25.145 Data set 1: | cost: 24.107 Data set 1: | cost: 26.548 Data set 1: | cost: 25.564 Data set 1: | cost: 26.510 Data set 1: | cost: 26.979 Data set 1: | cost: 27.135 Data set 1: | cost: 25.589 Data set 1: | cost: 26.609 Data set 1: | cost: 25.838 Data set 1: | cost: 23.630 Data set 1: | cost: 28.913 Data set 1: | cost: 28.801 Data set 1: | cost: 24.827 Data set 1: | cost: 24.365 Data set 1: | cost: 26.190 Data set 1: | cost: 26.640 Data set 1: | cost: 24.992 Data set 1: | cost: 25.325 Data set 1: | cost: 26.581 Data set 1: | cost: 24.979 Data set 1: | cost: 25.221 Data set 1: | cost: 24.119 Data set 1: | cost: 29.467 Data set 1: | cost: 26.579 Data set 1: | cost: 24.246 Data set 1: | cost: 27.140 Data set 1: | cost: 28.360 Data set 1: | cost: 26.858 Data set 1: | cost: 25.315 Data set 1: | cost: 25.648 Data set 1: | cost: 27.635 Data set 1: | cost: 24.358 Data set 1: | cost: 25.145 Data set 1: | cost: 26.897 Data set 1: | cost: 27.639 Data set 1: | cost: 28.303 Data set 1: | cost: 23.252 Data set 1: | cost: 22.723 Data set 1: | cost: 28.697 Data set 1: | cost: 27.404 Data set 1: | cost: 27.591 Data set 1: | cost: 25.953 Data set 1: | cost: 24.784 Data set 1: | cost: 30.198 Data set 1: | cost: 27.697 Data set 1: | cost: 28.755 Data set 1: | cost: 26.347 Data set 1: | cost: 26.553 Data set 1: | cost: 23.661 Data set 1: | cost: 26.339 Data set 1: | cost: 25.397 Data set 1: | cost: 25.487 Data set 1: | cost: 24.759 Data set 1: | cost: 24.523 Data set 1: | cost: 23.614 Data set 1: | cost: 26.707 Data set 1: | cost: 27.289 Data set 1: | cost: 21.114 Data set 1: | cost: 21.934 Data set 1: | cost: 29.608 Data set 1: | cost: 26.106 Data set 1: | cost: 28.130 Data set 1: | cost: 27.964 Data set 1: | cost: 26.605 Data set 1: | cost: 26.688 Data set 1: | cost: 23.484 Data set 1: | cost: 27.658 Data set 1: | cost: 24.563 Data set 1: | cost: 26.003 Data set 1: | cost: 26.224 Data set 1: | cost: 26.350 Data set 1: | cost: 26.638 Data set 1: | cost: 26.665 Data set 1: | cost: 26.035 Data set 1: | cost: 27.539 Data set 1: | cost: 25.351 Data set 1: | cost: 26.608 Data set 1: | cost: 27.035 Data set 1: | cost: 29.650 Data set 1: | cost: 24.696 Data set 1: | cost: 27.116 Data set 1: | cost: 26.710 Data set 1: | cost: 27.785 Data set 1: | cost: 24.543 Data set 1: | cost: 26.783 Data set 1: | cost: 24.805 Data set 1: | cost: 25.571 Data set 1: | cost: 21.463 Data set 1: | cost: 23.792 Data set 1: | cost: 23.902 Data set 1: | cost: 28.349 Data set 1: | cost: 24.476 Data set 1: | cost: 26.073 Data set 1: | cost: 24.076 Data set 1: | cost: 29.103 Data set 1: | cost: 29.413 Data set 1: | cost: 27.430 Data set 1: | cost: 29.776 Data set 1: | cost: 26.868 Data set 1: | cost: 24.721 Data set 1: | cost: 24.776 Data set 1: | cost: 23.397 Data set 1: | cost: 23.144 Data set 1: | cost: 24.423 Data set 1: | cost: 23.442 Data set 1: | cost: 27.489 Data set 1: | cost: 25.099 Data set 1: | cost: 25.337 Data set 1: | cost: 26.060 Data set 1: | cost: 25.965 Data set 1: | cost: 25.253 Data set 1: | cost: 26.033 Data set 1: | cost: 25.594 Data set 1: | cost: 29.463 Data set 1: | cost: 29.402 Data set 1: | cost: 27.037 Data set 1: | cost: 25.924 Data set 1: | cost: 25.447 Data set 1: | cost: 23.644 Data set 1: | cost: 26.481 Data set 1: | cost: 24.901 Data set 1: | cost: 28.171 Data set 1: | cost: 27.455 Data set 1: | cost: 30.634 Data set 1: | cost: 26.129 Data set 1: | cost: 24.425 Data set 1: | cost: 23.589 Data set 1: | cost: 29.560 Data set 1: | cost: 26.221 Data set 1: | cost: 26.551 Data set 1: | cost: 24.939 Data set 1: | cost: 28.052 Data set 1: | cost: 29.195 Data set 1: | cost: 27.308 Data set 1: | cost: 27.246 Data set 1: | cost: 24.360 Data set 1: | cost: 25.405 Data set 1: | cost: 25.254 Data set 1: | cost: 23.715 Data set 1: | cost: 26.587 Data set 1: | cost: 24.432 Data set 1: | cost: 24.681 Data set 1: | cost: 25.183 Data set 1: | cost: 24.943 Data set 1: | cost: 24.747 Data set 1: | cost: 25.720 Data set 1: | cost: 25.953 Data set 1: | cost: 25.103 Data set 1: | cost: 26.307 Data set 1: | cost: 23.138 Data set 1: | cost: 23.922 Data set 1: | cost: 28.366 Data set 1: | cost: 28.837 Data set 1: | cost: 25.648 Data set 1: | cost: 25.634 Data set 1: | cost: 30.689 Data set 1: | cost: 27.545 Data set 1: | cost: 25.308 Data set 1: | cost: 26.667 Data set 1: | cost: 26.457 Data set 1: | cost: 28.855 Data set 1: | cost: 25.999 Data set 1: | cost: 28.672 Data set 1: | cost: 24.214 Data set 1: | cost: 26.915 Data set 1: | cost: 24.087 Data set 1: | cost: 25.929 Data set 1: | cost: 25.582 Data set 1: | cost: 26.496 Data set 1: | cost: 26.507 Data set 1: | cost: 23.471 Data set 1: | cost: 27.518 Data set 1: | cost: 26.427 Data set 1: | cost: 25.411 Data set 1: | cost: 23.149 Data set 1: | cost: 27.491 Data set 1: | cost: 26.274 Data set 1: | cost: 22.938 Data set 1: | cost: 28.438 Data set 1: | cost: 28.630 Data set 1: | cost: 27.016 Data set 1: | cost: 28.968 Data set 1: | cost: 27.524 Data set 1: | cost: 27.818 Data set 1: | cost: 26.958 Data set 1: | cost: 29.575 Data set 1: | cost: 23.344 Data set 1: | cost: 25.435 Data set 1: | cost: 25.408 Data set 1: | cost: 24.770 Data set 1: | cost: 29.378 Data set 1: | cost: 24.806 Data set 1: | cost: 28.489 Data set 1: | cost: 22.892 Data set 1: | cost: 25.299 Data set 1: | cost: 28.259 Data set 1: | cost: 25.407 Data set 1: | cost: 25.924 Data set 1: | cost: 23.935 Data set 1: | cost: 24.361 Data set 1: | cost: 27.072 Data set 1: | cost: 25.921 Data set 1: | cost: 26.949 Data set 1: | cost: 26.935 Data set 1: | cost: 25.079 Data set 1: | cost: 23.410 Data set 1: | cost: 26.825 Data set 1: | cost: 28.673 Data set 1: | cost: 31.722 Data set 1: | cost: 27.089 Data set 1: | cost: 25.600 Data set 1: | cost: 29.430 Data set 1: | cost: 22.327 Data set 1: | cost: 24.165 Data set 1: | cost: 27.774 Data set 1: | cost: 26.221 Data set 1: | cost: 27.853 Data set 1: | cost: 27.376 Data set 1: | cost: 26.029 Data set 1: | cost: 25.834 Data set 1: | cost: 27.708 Data set 1: | cost: 23.405 Data set 1: | cost: 28.779 Data set 1: | cost: 26.616 Data set 1: | cost: 25.347 Data set 1: | cost: 25.219 Data set 1: | cost: 22.951 Data set 1: | cost: 26.499 Data set 1: | cost: 26.516 Data set 1: | cost: 27.763 Data set 1: | cost: 25.425 Data set 1: | cost: 29.920 Data set 1: | cost: 24.334 Data set 1: | cost: 25.231 Data set 1: | cost: 27.939 Data set 1: | cost: 26.702 Data set 1: | cost: 29.339 Data set 1: | cost: 28.161 Data set 1: | cost: 26.859 Data set 1: | cost: 24.431 Data set 1: | cost: 27.532 Data set 1: | cost: 27.798 Data set 1: | cost: 26.699 Data set 1: | cost: 22.771 Data set 1: | cost: 24.086 Data set 1: | cost: 23.890 Data set 1: | cost: 25.958 Data set 1: | cost: 23.525 Data set 1: | cost: 26.151 Data set 1: | cost: 24.482 Data set 1: | cost: 25.202 Data set 1: | cost: 28.035 DMC Parameters: amp:21.4 tau:148 drc:0.54 bnds:69 bndsRate:0.00 bndsSaturation:0 resMean:284 resSD:32 aaShape:1.7 spShape:3.2 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 385 90 1.10 354 61 0.0 incomp 435 92 7.80 332 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 278.2 295.5 304.6 313.6 325.0 333.6 340.9 348.2 357.1 367.4 376.1 388.4 399.7 412.0 423.8 438.6 467.4 502.3 563.1 incomp 311.9 327.8 344.9 357.2 367.5 377.1 386.4 398.9 410.1 422.1 435.9 450.1 462.2 476.8 490.9 508.7 531.0 558.2 603.3 mean 295.1 311.6 324.7 335.4 346.2 355.3 363.7 373.5 383.6 394.8 406.0 419.3 431.0 444.4 457.4 473.6 499.2 530.3 583.2 effect 33.7 32.3 40.4 43.5 42.5 43.4 45.6 50.6 53.0 54.7 59.8 61.7 62.4 64.8 67.1 70.2 63.5 55.9 40.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.990 0.975 0.995 0.990 0.995 incomp 0.745 0.910 0.960 0.995 1.000 Data set 1: | cost: 51.555 Data set 1: | cost: 48.480 Data set 1: | cost: 49.654 Data set 1: | cost: 47.266 Data set 1: | cost: 69.291 Data set 1: | cost: 74.542 Data set 1: | cost: 53.333 Data set 1: | cost: 55.773 Data set 1: | cost: 55.563 Data set 1: | cost: 52.965 Data set 1: | cost: 52.033 Data set 1: | cost: 39.326 Data set 1: | cost: 35.007 Data set 1: | cost: 46.014 Data set 1: | cost: 45.736 Data set 1: | cost: 40.229 Data set 1: | cost: 43.438 Data set 1: | cost: 40.633 Data set 1: | cost: 34.476 Data set 1: | cost: 37.028 Data set 1: | cost: 46.105 Data set 1: | cost: 38.183 Data set 1: | cost: 40.241 Data set 1: | cost: 33.505 Data set 1: | cost: 34.854 Data set 1: | cost: 35.593 Data set 1: | cost: 38.153 Data set 1: | cost: 34.301 Data set 1: | cost: 30.300 Data set 1: | cost: 34.352 Data set 1: | cost: 34.062 Data set 1: | cost: 29.350 Data set 1: | cost: 32.187 Data set 1: | cost: 30.708 Data set 1: | cost: 34.186 Data set 1: | cost: 41.612 Data set 1: | cost: 33.436 Data set 1: | cost: 32.639 Data set 1: | cost: 30.891 Data set 1: | cost: 30.191 Data set 1: | cost: 33.322 Data set 1: | cost: 33.654 Data set 1: | cost: 33.517 Data set 1: | cost: 29.543 Data set 1: | cost: 28.142 Data set 1: | cost: 36.273 Data set 1: | cost: 28.143 Data set 1: | cost: 31.906 Data set 1: | cost: 28.793 Data set 1: | cost: 30.373 Data set 1: | cost: 29.682 Data set 1: | cost: 30.700 Data set 1: | cost: 35.152 Data set 1: | cost: 30.503 Data set 1: | cost: 30.533 Data set 1: | cost: 33.585 Data set 1: | cost: 27.989 Data set 1: | cost: 32.551 Data set 1: | cost: 34.666 Data set 1: | cost: 25.715 Data set 1: | cost: 29.484 Data set 1: | cost: 35.227 Data set 1: | cost: 33.423 Data set 1: | cost: 30.420 Data set 1: | cost: 28.140 Data set 1: | cost: 31.200 Data set 1: | cost: 28.370 Data set 1: | cost: 28.552 Data set 1: | cost: 34.899 Data set 1: | cost: 27.767 Data set 1: | cost: 30.974 Data set 1: | cost: 30.608 Data set 1: | cost: 32.281 Data set 1: | cost: 32.172 Data set 1: | cost: 28.236 Data set 1: | cost: 26.114 Data set 1: | cost: 33.303 Data set 1: | cost: 33.081 Data set 1: | cost: 32.040 Data set 1: | cost: 29.116 Data set 1: | cost: 32.377 Data set 1: | cost: 32.435 Data set 1: | cost: 29.517 Data set 1: | cost: 24.710 Data set 1: | cost: 29.674 Data set 1: | cost: 28.516 Data set 1: | cost: 30.132 Data set 1: | cost: 27.062 Data set 1: | cost: 37.765 Data set 1: | cost: 34.358 Data set 1: | cost: 27.383 Data set 1: | cost: 27.945 Data set 1: | cost: 31.395 Data set 1: | cost: 26.573 Data set 1: | cost: 29.944 Data set 1: | cost: 32.997 Data set 1: | cost: 29.201 Data set 1: | cost: 33.189 Data set 1: | cost: 33.657 Data set 1: | cost: 29.857 Data set 1: | cost: 27.427 Data set 1: | cost: 28.103 Data set 1: | cost: 31.889 Data set 1: | cost: 26.553 Data set 1: | cost: 33.995 Data set 1: | cost: 29.640 Data set 1: | cost: 33.589 Data set 1: | cost: 29.957 Data set 1: | cost: 27.145 Data set 1: | cost: 39.397 Data set 1: | cost: 26.934 Data set 1: | cost: 36.382 Data set 1: | cost: 29.449 Data set 1: | cost: 29.992 Data set 1: | cost: 30.066 Data set 1: | cost: 32.039 Data set 1: | cost: 32.126 Data set 1: | cost: 32.574 Data set 1: | cost: 33.182 Data set 1: | cost: 24.909 Data set 1: | cost: 36.562 Data set 1: | cost: 35.359 Data set 1: | cost: 28.551 Data set 1: | cost: 34.791 Data set 1: | cost: 29.886 Data set 1: | cost: 27.134 Data set 1: | cost: 30.925 Data set 1: | cost: 33.894 Data set 1: | cost: 32.925 Data set 1: | cost: 32.225 Data set 1: | cost: 42.422 Data set 1: | cost: 32.906 Data set 1: | cost: 29.837 Data set 1: | cost: 29.011 Data set 1: | cost: 34.280 Data set 1: | cost: 24.919 Data set 1: | cost: 32.470 Data set 1: | cost: 30.237 Data set 1: | cost: 30.608 Data set 1: | cost: 26.351 Data set 1: | cost: 34.945 Data set 1: | cost: 27.909 Data set 1: | cost: 30.457 Data set 1: | cost: 28.878 Data set 1: | cost: 29.677 Data set 1: | cost: 27.731 Data set 1: | cost: 32.337 Data set 1: | cost: 32.411 Data set 1: | cost: 32.672 Data set 1: | cost: 28.101 Data set 1: | cost: 33.081 Data set 1: | cost: 31.669 Data set 1: | cost: 24.129 Data set 1: | cost: 32.353 Data set 1: | cost: 26.796 Data set 1: | cost: 26.892 Data set 1: | cost: 29.745 Data set 1: | cost: 34.552 Data set 1: | cost: 29.770 Data set 1: | cost: 26.693 Data set 1: | cost: 29.661 Data set 1: | cost: 30.834 Data set 1: | cost: 32.387 Data set 1: | cost: 31.450 Data set 1: | cost: 28.815 Data set 1: | cost: 23.581 Data set 1: | cost: 30.544 Data set 1: | cost: 26.282 Data set 1: | cost: 32.561 Data set 1: | cost: 31.412 Data set 1: | cost: 30.559 Data set 1: | cost: 31.364 Data set 1: | cost: 32.429 Data set 1: | cost: 28.802 Data set 1: | cost: 29.847 Data set 1: | cost: 33.985 Data set 1: | cost: 26.775 Data set 1: | cost: 29.373 Data set 1: | cost: 33.719 Data set 1: | cost: 31.760 Data set 1: | cost: 25.920 Data set 1: | cost: 31.632 Data set 1: | cost: 31.068 Data set 1: | cost: 34.095 Data set 1: | cost: 30.634 Data set 1: | cost: 29.521 Data set 1: | cost: 28.878 Data set 1: | cost: 31.482 Data set 1: | cost: 24.636 Data set 1: | cost: 26.896 Data set 1: | cost: 26.071 Data set 1: | cost: 36.274 Data set 1: | cost: 27.022 Data set 1: | cost: 27.708 Data set 1: | cost: 31.472 Data set 1: | cost: 32.544 Data set 1: | cost: 33.534 Data set 1: | cost: 27.564 Data set 1: | cost: 29.629 Data set 1: | cost: 26.858 Data set 1: | cost: 35.021 Data set 1: | cost: 27.881 Data set 1: | cost: 33.751 Data set 1: | cost: 31.841 Data set 1: | cost: 31.185 Data set 1: | cost: 27.024 Data set 1: | cost: 30.163 Data set 1: | cost: 28.760 Data set 1: | cost: 27.603 Data set 1: | cost: 31.751 Data set 1: | cost: 29.214 Data set 1: | cost: 29.517 Data set 1: | cost: 30.685 Data set 1: | cost: 30.352 Data set 1: | cost: 30.398 Data set 1: | cost: 29.347 Data set 1: | cost: 34.341 Data set 1: | cost: 33.906 Data set 1: | cost: 35.094 Data set 1: | cost: 28.232 Data set 1: | cost: 25.532 Data set 1: | cost: 32.745 Data set 1: | cost: 26.050 Data set 1: | cost: 33.596 Data set 1: | cost: 31.082 Data set 1: | cost: 31.515 Data set 1: | cost: 32.341 Data set 1: | cost: 34.930 Data set 1: | cost: 30.966 Data set 1: | cost: 29.097 Data set 1: | cost: 32.801 Data set 1: | cost: 30.944 Data set 1: | cost: 28.678 Data set 1: | cost: 30.921 Data set 1: | cost: 33.735 Data set 1: | cost: 30.179 Data set 1: | cost: 30.157 Data set 1: | cost: 30.762 Data set 1: | cost: 27.661 Data set 1: | cost: 30.617 Data set 1: | cost: 32.079 Data set 1: | cost: 29.612 Data set 1: | cost: 29.004 Data set 1: | cost: 28.704 Data set 1: | cost: 31.901 Data set 1: | cost: 30.341 Data set 1: | cost: 28.486 Data set 1: | cost: 30.081 Data set 1: | cost: 31.674 Data set 1: | cost: 29.801 Data set 1: | cost: 35.068 Data set 1: | cost: 30.095 Data set 1: | cost: 28.576 Data set 1: | cost: 26.457 Data set 1: | cost: 28.399 Data set 1: | cost: 28.914 Data set 1: | cost: 30.522 Data set 1: | cost: 29.991 Data set 1: | cost: 27.686 Data set 1: | cost: 33.682 Data set 1: | cost: 27.471 Data set 1: | cost: 33.717 Data set 1: | cost: 30.625 Data set 1: | cost: 28.385 Data set 1: | cost: 31.727 Data set 1: | cost: 24.993 Data set 1: | cost: 24.960 Data set 1: | cost: 25.341 Data set 1: | cost: 27.966 Data set 1: | cost: 32.652 Data set 1: | cost: 29.538 Data set 1: | cost: 31.148 Data set 1: | cost: 28.465 Data set 1: | cost: 29.760 Data set 1: | cost: 30.537 Data set 1: | cost: 30.394 Data set 1: | cost: 27.563 Data set 1: | cost: 30.176 Data set 1: | cost: 26.157 Data set 1: | cost: 26.753 Data set 1: | cost: 26.925 Data set 1: | cost: 28.898 Data set 1: | cost: 31.861 Data set 1: | cost: 28.644 Data set 1: | cost: 34.758 Data set 1: | cost: 26.877 Data set 1: | cost: 29.969 Data set 1: | cost: 35.675 Data set 1: | cost: 29.342 Data set 1: | cost: 29.627 Data set 1: | cost: 26.919 Data set 1: | cost: 28.253 Data set 1: | cost: 31.862 Data set 1: | cost: 27.625 Data set 1: | cost: 28.615 Data set 1: | cost: 32.584 Data set 1: | cost: 28.482 Data set 1: | cost: 31.372 Data set 1: | cost: 26.172 Data set 1: | cost: 34.350 Data set 1: | cost: 26.102 Data set 1: | cost: 32.432 Data set 1: | cost: 28.368 Data set 1: | cost: 30.085 Data set 1: | cost: 29.812 Data set 1: | cost: 37.380 Data set 1: | cost: 31.974 Data set 1: | cost: 29.347 Data set 1: | cost: 29.880 Data set 1: | cost: 27.443 Data set 1: | cost: 30.538 Data set 1: | cost: 26.914 Data set 1: | cost: 32.999 Data set 1: | cost: 32.957 Data set 1: | cost: 25.066 Data set 1: | cost: 26.115 Data set 1: | cost: 26.462 Data set 1: | cost: 31.882 Data set 1: | cost: 31.242 Data set 1: | cost: 35.864 Data set 1: | cost: 28.328 Data set 1: | cost: 30.696 Data set 1: | cost: 30.511 Data set 1: | cost: 30.393 Data set 1: | cost: 27.868 Data set 1: | cost: 29.150 Data set 1: | cost: 26.098 Data set 1: | cost: 26.609 Data set 1: | cost: 29.492 Data set 1: | cost: 30.959 Data set 1: | cost: 30.740 Data set 1: | cost: 30.067 Data set 1: | cost: 31.184 Data set 1: | cost: 30.881 Data set 1: | cost: 29.322 Data set 1: | cost: 29.762 Data set 1: | cost: 24.465 Data set 1: | cost: 29.769 Data set 1: | cost: 27.135 Data set 1: | cost: 31.826 Data set 1: | cost: 32.460 Data set 1: | cost: 32.330 Data set 1: | cost: 30.219 Data set 1: | cost: 28.137 Data set 1: | cost: 32.909 Data set 1: | cost: 29.270 Data set 1: | cost: 29.673 Data set 1: | cost: 26.987 Data set 1: | cost: 32.476 Data set 1: | cost: 29.143 Data set 1: | cost: 28.060 Data set 1: | cost: 29.467 Data set 1: | cost: 27.133 Data set 1: | cost: 27.634 Data set 1: | cost: 29.236 Data set 1: | cost: 33.245 Data set 1: | cost: 27.309 Data set 1: | cost: 36.584 Data set 1: | cost: 28.887 Data set 1: | cost: 39.253 Data set 1: | cost: 26.186 Data set 1: | cost: 33.454 Data set 1: | cost: 30.928 Data set 1: | cost: 30.343 Data set 1: | cost: 30.964 Data set 1: | cost: 34.354 Data set 1: | cost: 35.425 Data set 1: | cost: 29.483 Data set 1: | cost: 26.517 Data set 1: | cost: 29.672 Data set 1: | cost: 33.387 Data set 1: | cost: 31.421 Data set 1: | cost: 31.393 Data set 1: | cost: 36.415 Data set 1: | cost: 28.155 Data set 1: | cost: 24.870 Data set 1: | cost: 31.333 Data set 1: | cost: 33.420 Data set 1: | cost: 28.663 Data set 1: | cost: 31.859 Data set 1: | cost: 28.564 Data set 1: | cost: 30.219 Data set 1: | cost: 30.746 Data set 1: | cost: 28.938 Data set 1: | cost: 28.138 Data set 1: | cost: 27.796 Data set 1: | cost: 36.364 Data set 1: | cost: 31.562 Data set 1: | cost: 22.690 Data set 1: | cost: 28.322 Data set 1: | cost: 33.321 Data set 1: | cost: 31.550 Data set 1: | cost: 31.580 Data set 1: | cost: 27.390 Data set 1: | cost: 32.659 Data set 1: | cost: 32.298 Data set 1: | cost: 33.036 Data set 1: | cost: 32.266 Data set 1: | cost: 31.117 Data set 1: | cost: 29.028 Data set 1: | cost: 31.840 Data set 1: | cost: 35.411 Data set 1: | cost: 27.311 Data set 1: | cost: 26.045 Data set 1: | cost: 30.779 Data set 1: | cost: 24.951 Data set 1: | cost: 32.178 Data set 1: | cost: 31.026 Data set 1: | cost: 27.451 Data set 1: | cost: 28.624 Data set 1: | cost: 30.569 Data set 1: | cost: 30.324 Data set 1: | cost: 27.835 Data set 1: | cost: 32.067 Data set 1: | cost: 30.914 Data set 1: | cost: 34.829 Data set 1: | cost: 31.129 Data set 1: | cost: 31.724 Data set 1: | cost: 30.117 Data set 1: | cost: 25.681 Data set 1: | cost: 29.971 Data set 1: | cost: 35.252 Data set 1: | cost: 24.743 Data set 1: | cost: 28.163 Data set 1: | cost: 29.371 Data set 1: | cost: 29.369 Data set 1: | cost: 27.145 Data set 1: | cost: 26.389 Data set 1: | cost: 25.247 Data set 1: | cost: 29.030 Data set 1: | cost: 31.711 Data set 1: | cost: 30.811 Data set 1: | cost: 31.002 Data set 1: | cost: 32.924 Data set 1: | cost: 34.488 Data set 1: | cost: 29.823 Data set 1: | cost: 30.021 Data set 1: | cost: 34.772 Data set 1: | cost: 31.196 Data set 1: | cost: 31.665 Data set 1: | cost: 27.635 Data set 1: | cost: 31.575 Data set 1: | cost: 31.741 Data set 1: | cost: 32.397 Data set 1: | cost: 30.619 Data set 1: | cost: 29.886 Data set 1: | cost: 27.317 Data set 1: | cost: 29.214 Data set 1: | cost: 26.924 Data set 1: | cost: 29.621 Data set 1: | cost: 31.223 Data set 1: | cost: 34.464 Data set 1: | cost: 34.079 Data set 1: | cost: 27.906 Data set 1: | cost: 31.759 Data set 1: | cost: 24.966 Data set 1: | cost: 30.442 Data set 1: | cost: 28.426 Data set 1: | cost: 27.323 Data set 1: | cost: 33.558 Data set 1: | cost: 27.701 Data set 1: | cost: 31.062 Data set 1: | cost: 34.870 Data set 1: | cost: 26.303 Data set 1: | cost: 29.280 Data set 1: | cost: 29.973 Data set 1: | cost: 31.607 Data set 1: | cost: 36.128 Data set 1: | cost: 29.919 Data set 1: | cost: 30.250 Data set 1: | cost: 29.765 Data set 1: | cost: 33.067 Data set 1: | cost: 34.680 Data set 1: | cost: 26.905 Data set 1: | cost: 32.222 Data set 1: | cost: 30.454 Data set 1: | cost: 27.318 Data set 1: | cost: 30.162 Data set 1: | cost: 27.978 Data set 1: | cost: 32.242 Data set 1: | cost: 27.560 Data set 1: | cost: 28.633 Data set 1: | cost: 29.102 Data set 1: | cost: 26.747 Data set 1: | cost: 33.570 Data set 1: | cost: 32.253 Data set 1: | cost: 31.309 Data set 1: | cost: 34.475 Data set 1: | cost: 31.604 Data set 1: | cost: 30.468 Data set 1: | cost: 28.017 Data set 1: | cost: 28.233 Data set 1: | cost: 28.946 Data set 1: | cost: 29.229 Data set 1: | cost: 30.358 Data set 1: | cost: 28.641 Data set 1: | cost: 29.931 Data set 1: | cost: 27.614 Data set 1: | cost: 32.360 Data set 1: | cost: 28.262 Data set 1: | cost: 28.469 DMC Parameters: amp:21.5 tau:81 drc:0.54 bnds:62 bndsRate:0.00 bndsSaturation:0 resMean:302 resSD:30 aaShape:2.0 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 388 85 1.30 424 133 0.0 incomp 434 83 9.90 345 43 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 291.0 305.3 314.7 322.8 330.9 337.2 343.0 350.7 358.9 369.0 377.6 387.4 398.7 408.1 423.1 441.2 465.8 502.2 551.4 incomp 326.8 346.8 357.2 370.1 380.5 389.1 395.5 405.6 411.6 420.2 431.9 442.0 454.8 464.1 476.1 486.7 508.0 533.6 581.5 mean 308.9 326.0 336.0 346.5 355.7 363.1 369.2 378.2 385.3 394.6 404.8 414.7 426.7 436.1 449.6 463.9 486.9 517.9 566.5 effect 35.9 41.5 42.4 47.3 49.6 51.9 52.6 54.8 52.8 51.2 54.3 54.6 56.1 56.0 53.0 45.5 42.3 31.4 30.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.985 0.985 0.990 0.995 0.980 incomp 0.655 0.920 0.945 0.990 0.995 Data set 1: | cost: 91.286 Data set 1: | cost: 84.235 Data set 1: | cost: 90.880 Data set 1: | cost: 105.682 Data set 1: | cost: 80.306 Data set 1: | cost: 70.787 Data set 1: | cost: 90.803 Data set 1: | cost: 89.322 Data set 1: | cost: 89.808 Data set 1: | cost: 56.900 Data set 1: | cost: 43.446 Data set 1: | cost: 68.896 Data set 1: | cost: 76.201 Data set 1: | cost: 65.135 Data set 1: | cost: 67.082 Data set 1: | cost: 58.812 Data set 1: | cost: 64.892 Data set 1: | cost: 44.906 Data set 1: | cost: 59.843 Data set 1: | cost: 42.538 Data set 1: | cost: 59.952 Data set 1: | cost: 35.329 Data set 1: | cost: 67.067 Data set 1: | cost: 42.910 Data set 1: | cost: 48.838 Data set 1: | cost: 38.526 Data set 1: | cost: 32.944 Data set 1: | cost: 41.499 Data set 1: | cost: 35.737 Data set 1: | cost: 45.772 Data set 1: | cost: 39.989 Data set 1: | cost: 58.163 Data set 1: | cost: 41.564 Data set 1: | cost: 43.907 Data set 1: | cost: 45.496 Data set 1: | cost: 45.904 Data set 1: | cost: 33.769 Data set 1: | cost: 45.682 Data set 1: | cost: 33.121 Data set 1: | cost: 35.284 Data set 1: | cost: 33.843 Data set 1: | cost: 38.219 Data set 1: | cost: 39.827 Data set 1: | cost: 33.460 Data set 1: | cost: 35.622 Data set 1: | cost: 36.755 Data set 1: | cost: 33.726 Data set 1: | cost: 43.352 Data set 1: | cost: 36.101 Data set 1: | cost: 36.494 Data set 1: | cost: 40.071 Data set 1: | cost: 42.550 Data set 1: | cost: 37.547 Data set 1: | cost: 30.559 Data set 1: | cost: 33.699 Data set 1: | cost: 36.157 Data set 1: | cost: 39.065 Data set 1: | cost: 33.217 Data set 1: | cost: 39.247 Data set 1: | cost: 36.958 Data set 1: | cost: 37.282 Data set 1: | cost: 37.582 Data set 1: | cost: 33.102 Data set 1: | cost: 34.223 Data set 1: | cost: 36.533 Data set 1: | cost: 35.159 Data set 1: | cost: 40.114 Data set 1: | cost: 33.525 Data set 1: | cost: 35.270 Data set 1: | cost: 39.177 Data set 1: | cost: 36.826 Data set 1: | cost: 38.576 Data set 1: | cost: 37.013 Data set 1: | cost: 40.005 Data set 1: | cost: 32.976 Data set 1: | cost: 36.144 Data set 1: | cost: 33.656 Data set 1: | cost: 40.588 Data set 1: | cost: 35.401 Data set 1: | cost: 35.809 Data set 1: | cost: 35.168 Data set 1: | cost: 36.109 Data set 1: | cost: 35.261 Data set 1: | cost: 40.217 Data set 1: | cost: 39.617 Data set 1: | cost: 36.116 Data set 1: | cost: 34.666 Data set 1: | cost: 35.682 Data set 1: | cost: 33.243 Data set 1: | cost: 35.124 Data set 1: | cost: 39.204 Data set 1: | cost: 34.483 Data set 1: | cost: 35.871 Data set 1: | cost: 34.599 Data set 1: | cost: 35.621 Data set 1: | cost: 35.720 Data set 1: | cost: 34.776 Data set 1: | cost: 38.681 Data set 1: | cost: 33.572 Data set 1: | cost: 33.108 Data set 1: | cost: 35.493 Data set 1: | cost: 35.568 Data set 1: | cost: 38.233 Data set 1: | cost: 33.683 Data set 1: | cost: 37.714 Data set 1: | cost: 33.834 Data set 1: | cost: 36.996 Data set 1: | cost: 37.071 Data set 1: | cost: 32.347 Data set 1: | cost: 38.639 Data set 1: | cost: 34.651 Data set 1: | cost: 35.405 Data set 1: | cost: 35.827 Data set 1: | cost: 36.339 Data set 1: | cost: 34.718 Data set 1: | cost: 31.145 Data set 1: | cost: 36.654 Data set 1: | cost: 34.064 Data set 1: | cost: 39.379 Data set 1: | cost: 34.145 Data set 1: | cost: 33.964 Data set 1: | cost: 32.345 Data set 1: | cost: 37.614 Data set 1: | cost: 37.232 Data set 1: | cost: 36.452 Data set 1: | cost: 37.456 Data set 1: | cost: 34.179 Data set 1: | cost: 35.829 Data set 1: | cost: 35.242 Data set 1: | cost: 35.198 Data set 1: | cost: 37.295 Data set 1: | cost: 35.343 Data set 1: | cost: 34.566 Data set 1: | cost: 38.447 Data set 1: | cost: 32.899 Data set 1: | cost: 32.400 Data set 1: | cost: 35.795 Data set 1: | cost: 34.265 Data set 1: | cost: 32.697 Data set 1: | cost: 32.869 Data set 1: | cost: 32.530 Data set 1: | cost: 33.230 Data set 1: | cost: 34.669 Data set 1: | cost: 35.082 Data set 1: | cost: 33.642 Data set 1: | cost: 34.010 Data set 1: | cost: 32.486 Data set 1: | cost: 40.822 Data set 1: | cost: 31.927 Data set 1: | cost: 35.597 Data set 1: | cost: 33.463 Data set 1: | cost: 37.844 Data set 1: | cost: 38.757 Data set 1: | cost: 37.275 Data set 1: | cost: 38.075 Data set 1: | cost: 39.704 Data set 1: | cost: 31.540 Data set 1: | cost: 32.480 Data set 1: | cost: 33.178 Data set 1: | cost: 35.869 Data set 1: | cost: 38.560 Data set 1: | cost: 36.577 Data set 1: | cost: 40.999 Data set 1: | cost: 33.299 Data set 1: | cost: 31.778 Data set 1: | cost: 38.214 Data set 1: | cost: 33.409 Data set 1: | cost: 37.482 Data set 1: | cost: 36.049 Data set 1: | cost: 35.304 Data set 1: | cost: 34.338 Data set 1: | cost: 38.265 Data set 1: | cost: 33.495 Data set 1: | cost: 31.660 Data set 1: | cost: 36.080 Data set 1: | cost: 39.666 Data set 1: | cost: 37.431 Data set 1: | cost: 33.468 Data set 1: | cost: 36.730 Data set 1: | cost: 35.154 Data set 1: | cost: 36.161 Data set 1: | cost: 40.093 Data set 1: | cost: 36.884 Data set 1: | cost: 38.469 Data set 1: | cost: 36.432 Data set 1: | cost: 38.431 Data set 1: | cost: 37.702 Data set 1: | cost: 37.567 Data set 1: | cost: 35.760 Data set 1: | cost: 34.305 Data set 1: | cost: 34.004 Data set 1: | cost: 35.172 Data set 1: | cost: 32.445 Data set 1: | cost: 34.485 Data set 1: | cost: 31.467 Data set 1: | cost: 42.043 Data set 1: | cost: 38.622 Data set 1: | cost: 36.103 Data set 1: | cost: 36.111 Data set 1: | cost: 35.898 Data set 1: | cost: 35.432 Data set 1: | cost: 35.216 Data set 1: | cost: 36.591 Data set 1: | cost: 36.028 Data set 1: | cost: 37.891 Data set 1: | cost: 30.292 Data set 1: | cost: 38.615 Data set 1: | cost: 42.031 Data set 1: | cost: 34.952 Data set 1: | cost: 31.791 Data set 1: | cost: 39.358 Data set 1: | cost: 38.327 Data set 1: | cost: 32.410 Data set 1: | cost: 33.974 Data set 1: | cost: 38.622 Data set 1: | cost: 32.947 Data set 1: | cost: 36.376 Data set 1: | cost: 38.532 Data set 1: | cost: 34.835 Data set 1: | cost: 35.005 Data set 1: | cost: 34.129 Data set 1: | cost: 38.167 Data set 1: | cost: 34.615 Data set 1: | cost: 35.114 Data set 1: | cost: 30.967 Data set 1: | cost: 35.030 Data set 1: | cost: 34.613 Data set 1: | cost: 32.733 Data set 1: | cost: 38.508 Data set 1: | cost: 38.839 Data set 1: | cost: 37.816 Data set 1: | cost: 40.043 Data set 1: | cost: 33.180 Data set 1: | cost: 34.621 Data set 1: | cost: 34.885 Data set 1: | cost: 34.176 Data set 1: | cost: 38.679 Data set 1: | cost: 29.882 Data set 1: | cost: 39.712 Data set 1: | cost: 38.045 Data set 1: | cost: 38.790 Data set 1: | cost: 33.943 Data set 1: | cost: 35.432 Data set 1: | cost: 34.691 Data set 1: | cost: 39.901 Data set 1: | cost: 37.849 Data set 1: | cost: 33.180 Data set 1: | cost: 34.682 Data set 1: | cost: 35.202 Data set 1: | cost: 32.789 Data set 1: | cost: 34.068 Data set 1: | cost: 39.556 Data set 1: | cost: 33.130 Data set 1: | cost: 37.228 Data set 1: | cost: 30.228 Data set 1: | cost: 34.653 Data set 1: | cost: 34.632 Data set 1: | cost: 33.849 Data set 1: | cost: 34.650 Data set 1: | cost: 33.815 Data set 1: | cost: 36.520 Data set 1: | cost: 38.159 Data set 1: | cost: 36.596 Data set 1: | cost: 43.885 Data set 1: | cost: 30.106 Data set 1: | cost: 34.934 Data set 1: | cost: 36.545 Data set 1: | cost: 33.795 Data set 1: | cost: 35.650 Data set 1: | cost: 37.851 Data set 1: | cost: 32.075 Data set 1: | cost: 35.801 Data set 1: | cost: 30.923 Data set 1: | cost: 38.279 Data set 1: | cost: 38.352 Data set 1: | cost: 37.399 Data set 1: | cost: 38.747 Data set 1: | cost: 36.534 Data set 1: | cost: 34.727 Data set 1: | cost: 36.573 Data set 1: | cost: 35.007 Data set 1: | cost: 37.379 Data set 1: | cost: 38.480 Data set 1: | cost: 33.862 Data set 1: | cost: 34.464 Data set 1: | cost: 39.370 Data set 1: | cost: 35.253 Data set 1: | cost: 38.352 Data set 1: | cost: 33.259 Data set 1: | cost: 38.204 Data set 1: | cost: 34.070 Data set 1: | cost: 40.661 Data set 1: | cost: 40.112 Data set 1: | cost: 35.059 Data set 1: | cost: 36.353 Data set 1: | cost: 38.005 Data set 1: | cost: 35.948 Data set 1: | cost: 34.779 Data set 1: | cost: 33.386 Data set 1: | cost: 37.228 Data set 1: | cost: 33.875 Data set 1: | cost: 35.853 Data set 1: | cost: 33.727 Data set 1: | cost: 35.615 Data set 1: | cost: 36.490 Data set 1: | cost: 33.533 Data set 1: | cost: 29.919 Data set 1: | cost: 37.473 Data set 1: | cost: 33.471 Data set 1: | cost: 35.733 Data set 1: | cost: 33.740 Data set 1: | cost: 35.595 Data set 1: | cost: 30.856 Data set 1: | cost: 37.569 Data set 1: | cost: 35.784 Data set 1: | cost: 37.898 Data set 1: | cost: 34.070 Data set 1: | cost: 35.225 Data set 1: | cost: 37.547 Data set 1: | cost: 35.470 Data set 1: | cost: 32.077 Data set 1: | cost: 33.965 Data set 1: | cost: 33.219 Data set 1: | cost: 40.657 Data set 1: | cost: 39.355 Data set 1: | cost: 35.807 Data set 1: | cost: 32.818 Data set 1: | cost: 33.957 Data set 1: | cost: 33.376 Data set 1: | cost: 33.393 Data set 1: | cost: 38.131 Data set 1: | cost: 39.166 Data set 1: | cost: 35.497 Data set 1: | cost: 33.955 Data set 1: | cost: 37.661 Data set 1: | cost: 30.142 Data set 1: | cost: 35.145 Data set 1: | cost: 34.029 Data set 1: | cost: 33.121 Data set 1: | cost: 33.848 Data set 1: | cost: 34.288 Data set 1: | cost: 36.205 Data set 1: | cost: 38.912 Data set 1: | cost: 35.446 Data set 1: | cost: 35.059 Data set 1: | cost: 35.567 Data set 1: | cost: 38.182 Data set 1: | cost: 36.518 Data set 1: | cost: 32.555 Data set 1: | cost: 40.173 Data set 1: | cost: 31.948 Data set 1: | cost: 34.039 Data set 1: | cost: 35.007 Data set 1: | cost: 36.610 Data set 1: | cost: 34.539 Data set 1: | cost: 32.626 Data set 1: | cost: 33.853 Data set 1: | cost: 34.310 Data set 1: | cost: 35.896 Data set 1: | cost: 38.703 Data set 1: | cost: 31.021 Data set 1: | cost: 33.020 Data set 1: | cost: 37.756 Data set 1: | cost: 29.967 Data set 1: | cost: 32.274 Data set 1: | cost: 39.310 Data set 1: | cost: 34.431 Data set 1: | cost: 35.160 Data set 1: | cost: 34.625 Data set 1: | cost: 36.774 Data set 1: | cost: 33.568 Data set 1: | cost: 32.991 Data set 1: | cost: 38.750 Data set 1: | cost: 35.361 Data set 1: | cost: 36.301 Data set 1: | cost: 35.660 Data set 1: | cost: 34.221 Data set 1: | cost: 36.033 Data set 1: | cost: 37.174 Data set 1: | cost: 35.388 Data set 1: | cost: 33.958 Data set 1: | cost: 32.434 Data set 1: | cost: 36.318 Data set 1: | cost: 34.021 Data set 1: | cost: 36.824 Data set 1: | cost: 33.849 Data set 1: | cost: 34.088 Data set 1: | cost: 37.261 Data set 1: | cost: 34.298 Data set 1: | cost: 35.419 Data set 1: | cost: 35.147 Data set 1: | cost: 34.355 Data set 1: | cost: 40.945 Data set 1: | cost: 36.250 Data set 1: | cost: 35.006 Data set 1: | cost: 30.328 Data set 1: | cost: 36.508 Data set 1: | cost: 35.073 Data set 1: | cost: 33.615 Data set 1: | cost: 35.040 Data set 1: | cost: 37.786 Data set 1: | cost: 35.281 Data set 1: | cost: 35.121 Data set 1: | cost: 36.958 Data set 1: | cost: 31.387 Data set 1: | cost: 33.716 Data set 1: | cost: 36.456 Data set 1: | cost: 33.394 Data set 1: | cost: 35.439 Data set 1: | cost: 31.003 Data set 1: | cost: 34.308 Data set 1: | cost: 37.236 Data set 1: | cost: 39.243 Data set 1: | cost: 32.547 Data set 1: | cost: 36.428 Data set 1: | cost: 34.710 Data set 1: | cost: 35.858 Data set 1: | cost: 37.011 Data set 1: | cost: 37.110 Data set 1: | cost: 40.163 Data set 1: | cost: 38.271 Data set 1: | cost: 33.026 Data set 1: | cost: 34.180 Data set 1: | cost: 35.634 Data set 1: | cost: 36.485 Data set 1: | cost: 37.012 Data set 1: | cost: 33.902 Data set 1: | cost: 35.950 Data set 1: | cost: 32.064 Data set 1: | cost: 30.619 Data set 1: | cost: 41.256 Data set 1: | cost: 34.058 Data set 1: | cost: 34.856 Data set 1: | cost: 37.041 Data set 1: | cost: 35.307 Data set 1: | cost: 32.633 Data set 1: | cost: 35.540 Data set 1: | cost: 35.230 Data set 1: | cost: 34.202 Data set 1: | cost: 35.255 Data set 1: | cost: 34.805 Data set 1: | cost: 34.779 Data set 1: | cost: 33.197 Data set 1: | cost: 34.252 Data set 1: | cost: 34.756 Data set 1: | cost: 36.914 Data set 1: | cost: 41.591 Data set 1: | cost: 37.520 Data set 1: | cost: 35.897 Data set 1: | cost: 38.638 Data set 1: | cost: 32.375 Data set 1: | cost: 36.438 Data set 1: | cost: 39.063 Data set 1: | cost: 36.807 Data set 1: | cost: 38.189 Data set 1: | cost: 31.825 Data set 1: | cost: 34.170 Data set 1: | cost: 36.336 Data set 1: | cost: 36.341 Data set 1: | cost: 34.674 Data set 1: | cost: 33.249 Data set 1: | cost: 39.520 Data set 1: | cost: 37.446 Data set 1: | cost: 35.900 Data set 1: | cost: 32.789 Data set 1: | cost: 31.184 Data set 1: | cost: 34.322 Data set 1: | cost: 35.735 Data set 1: | cost: 32.182 Data set 1: | cost: 36.073 Data set 1: | cost: 34.812 Data set 1: | cost: 33.406 Data set 1: | cost: 38.564 Data set 1: | cost: 37.138 Data set 1: | cost: 34.620 Data set 1: | cost: 39.394 Data set 1: | cost: 34.813 Data set 1: | cost: 32.497 Data set 1: | cost: 44.559 Data set 1: | cost: 30.900 Data set 1: | cost: 37.768 Data set 1: | cost: 34.564 Data set 1: | cost: 33.331 Data set 1: | cost: 33.061 Data set 1: | cost: 32.639 Data set 1: | cost: 33.259 Data set 1: | cost: 35.274 Data set 1: | cost: 36.163 Data set 1: | cost: 38.588 Data set 1: | cost: 37.932 Data set 1: | cost: 33.480 Data set 1: | cost: 36.298 Data set 1: | cost: 33.230 Data set 1: | cost: 38.143 Data set 1: | cost: 36.688 Data set 1: | cost: 37.008 Data set 1: | cost: 35.878 Data set 1: | cost: 31.643 Data set 1: | cost: 36.192 Data set 1: | cost: 34.129 Data set 1: | cost: 36.197 DMC Parameters: amp:21.2 tau:264 drc:0.38 bnds:83 bndsRate:0.00 bndsSaturation:0 resMean:325 resSD:31 aaShape:2.1 spShape:3.2 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 497 134 2.30 440 131 0.0 incomp 570 165 9.00 433 109 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 348.3 367.1 380.9 394.1 407.1 417.2 428.1 439.9 450.1 461.0 474.5 491.5 507.6 530.2 553.2 587.3 615.8 679.4 766.6 incomp 346.7 378.0 403.9 424.9 447.0 462.9 483.8 502.9 519.5 540.9 568.6 584.6 608.5 641.3 669.2 698.1 737.4 796.6 868.3 mean 347.5 372.5 392.4 409.5 427.1 440.1 455.9 471.4 484.8 501.0 521.5 538.1 558.0 585.7 611.2 642.7 676.6 738.0 817.5 effect -1.6 10.9 23.0 30.9 39.9 45.7 55.7 63.0 69.5 79.9 94.1 93.1 100.9 111.1 115.9 110.7 121.5 117.2 101.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.940 0.985 0.990 0.985 0.985 incomp 0.775 0.865 0.955 0.970 0.985 [ FAIL 0 | WARN 1 | SKIP 0 | PASS 184 ] [ FAIL 0 | WARN 1 | SKIP 0 | PASS 184 ] > > proc.time() user system elapsed 35.95 0.68 63.35