CRAN Package Check Results for Maintainer ‘Ian G. Mackenzie <ian.mackenzie at uni-tuebingen.de>’

Last updated on 2024-05-19 17:52:44 CEST.

Package	ERROR	OK
DMCfun	1	12
psychReport		12

Package DMCfun

Current CRAN status: ERROR: 1, OK: 12

Version: 3.5.4
Check: tests
Result: ERROR Running ‘testthat.R’ [49s/222s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > test_check("DMCfun") Loading required package: DMCfun DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 105 0.70 474 95 0.0 incomp 458 95 1.28 404 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 331.4 355.1 374.6 395.0 417.4 442.4 472.9 513.4 578.5 incomp 363.5 385.7 403.2 420.4 438.5 458.6 483.9 518.3 578.1 mean 347.4 370.4 388.9 407.7 428.0 450.5 478.4 515.8 578.3 effect 32.1 30.6 28.6 25.4 21.0 16.3 11.0 4.9 -0.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.990 0.990 incomp 0.966 0.990 0.993 0.995 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 0.65 478 103 0.0 incomp 459 95 1.28 402 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 331.7 354.9 374.5 394.8 416.8 441.9 472.7 513.4 580.5 incomp 363.3 385.4 403.5 420.5 438.5 458.4 483.2 518.8 579.7 mean 347.5 370.1 389.0 407.6 427.7 450.2 478.0 516.1 580.1 effect 31.6 30.5 29.0 25.7 21.7 16.5 10.5 5.4 -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 0.966 0.989 0.994 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 0.64 468 100 0.0 incomp 458 95 1.27 404 92 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.5 354.8 374.7 394.8 417.1 442.2 472.2 512.4 577.0 incomp 363.4 385.6 403.4 420.4 437.9 458.1 483.2 518.7 579.6 mean 347.5 370.2 389.0 407.6 427.5 450.1 477.7 515.5 578.3 effect 31.9 30.7 28.7 25.6 20.9 15.8 11.0 6.3 2.6 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.995 0.992 0.991 0.992 incomp 0.967 0.989 0.993 0.994 0.993 DMC Parameters: amp:20.0 tau:150 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 421 90 0.27 498 131 0.0 incomp 484 103 2.28 423 77 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 335.0 354.8 370.5 385.4 401.1 418.6 440.9 472.1 529.9 incomp 371.9 399.0 421.9 443.9 466.4 491.5 520.6 558.6 618.5 mean 353.5 376.9 396.2 414.7 433.8 455.1 480.7 515.3 574.2 effect 36.9 44.3 51.4 58.5 65.3 72.9 79.8 86.5 88.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.998 0.998 0.997 0.993 incomp 0.952 0.970 0.982 0.988 0.994 Data set 1: | cost: 44.518 Data set 1: | cost: 39.522 Data set 1: | cost: 42.206 Data set 1: | cost: 34.670 Data set 1: | cost: 58.180 Data set 1: | cost: 64.485 Data set 1: | cost: 44.673 Data set 1: | cost: 39.891 Data set 1: | cost: 37.469 Data set 1: | cost: 36.468 Data set 1: | cost: 37.533 Data set 1: | cost: 36.108 Data set 1: | cost: 37.120 Data set 1: | cost: 31.653 Data set 1: | cost: 35.328 Data set 1: | cost: 31.414 Data set 1: | cost: 26.857 Data set 1: | cost: 32.702 Data set 1: | cost: 35.681 Data set 1: | cost: 32.492 Data set 1: | cost: 28.544 DMC Parameters: amp:21.5 tau:52 drc:0.54 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:282 resSD:30 aaShape:2.1 spShape:3.2 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 395 103 1.20 386 90 0.0 incomp 437 87 5.50 326 54 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 276.6 296.2 306.3 315.4 324.4 332.5 341.2 351.2 360.5 369.8 379.5 390.1 404.1 422.0 439.1 462.6 492.8 536.7 609.0 incomp 319.2 338.2 354.8 365.3 375.0 386.8 394.4 403.9 415.1 426.0 435.3 447.0 458.3 469.3 481.6 496.8 517.0 540.7 593.6 mean 297.9 317.2 330.5 340.3 349.7 359.7 367.8 377.5 387.8 397.9 407.4 418.5 431.2 445.6 460.4 479.7 504.9 538.7 601.3 effect 42.6 41.9 48.5 49.8 50.5 54.3 53.3 52.7 54.5 56.2 55.8 56.9 54.2 47.3 42.5 34.2 24.2 4.0 -15.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.995 0.995 0.985 0.985 incomp 0.765 0.985 0.985 0.995 0.995 Data set 1: | cost: 49.907 Data set 1: | cost: 53.246 Data set 1: | cost: 52.143 Data set 1: | cost: 39.171 Data set 1: | cost: 64.568 Data set 1: | cost: 75.494 Data set 1: | cost: 51.212 Data set 1: | cost: 55.539 Data set 1: | cost: 47.871 Data set 1: | cost: 38.224 Data set 1: | cost: 48.493 Data set 1: | cost: 33.836 Data set 1: | cost: 27.488 Data set 1: | cost: 35.235 Data set 1: | cost: 39.488 Data set 1: | cost: 31.876 Data set 1: | cost: 40.495 Data set 1: | cost: 31.139 Data set 1: | cost: 36.011 Data set 1: | cost: 28.575 Data set 1: | cost: 29.495 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 77 2.40 332 69 0.0 incomp 421 93 9.10 363 62 0.0 Delta Values (Correct): 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% 45.0% 50.0% 55.0% 60.0% 65.0% 70.0% 75.0% 80.0% 85.0% 90.0% 95.0% comp 283.3 298.1 308.8 320.3 329.7 337.8 345.3 353.8 361.6 368.2 376.0 383.2 392.1 404.5 416.5 429.6 451.9 472.8 520.7 incomp 297.6 315.7 326.4 337.8 353.2 364.0 374.9 387.0 397.3 409.8 419.6 432.0 445.2 458.4 472.5 489.0 513.6 551.2 588.6 mean 290.5 306.9 317.6 329.1 341.5 350.9 360.1 370.4 379.5 389.0 397.8 407.6 418.7 431.5 444.5 459.3 482.7 512.0 554.6 effect 14.4 17.5 17.7 17.5 23.5 26.2 29.6 33.2 35.7 41.5 43.6 48.8 53.1 53.9 56.0 59.4 61.7 78.5 67.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.945 0.970 0.980 0.990 0.995 incomp 0.850 0.845 0.900 0.970 0.980 Data set 1: | cost: 0.105 Data set 1: | cost: 0.099 Data set 1: | cost: 0.071 Data set 1: | cost: 0.230 Data set 1: | cost: 0.420 Data set 1: | cost: 0.092 Data set 1: | cost: 0.104 Data set 1: | cost: 0.374 Data set 1: | cost: 0.146 Data set 1: | cost: 0.113 Data set 1: | cost: 0.079 Data set 1: | cost: 0.128 Data set 1: | cost: 0.090 Data set 1: | cost: 0.107 Data set 1: | cost: 0.079 Data set 1: | cost: 0.071 Data set 1: | cost: 0.075 Data set 1: | cost: 0.078 Data set 1: | cost: 0.080 Data set 1: | cost: 0.066 Data set 1: | cost: 0.057 DMC Parameters: amp:21.1 tau:49 drc:0.60 bnds:73 bndsRate:0.00 bndsSaturation:0 resMean:301 resSD:32 aaShape:2.5 spShape:2.8 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 400 86 1.30 324 72 0.0 incomp 437 81 7.10 348 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 298.8 315.3 326.2 335.8 343.9 352.9 359.3 365.9 373.1 380.1 388.3 397.3 411.2 421.3 436.6 454.4 478.5 507.3 560.8 incomp 325.8 339.6 354.6 369.0 379.6 391.4 400.8 410.3 420.1 428.2 435.9 444.7 459.0 471.8 484.8 498.5 513.7 543.4 576.5 mean 312.3 327.4 340.4 352.4 361.8 372.1 380.1 388.1 396.6 404.1 412.1 421.0 435.1 446.5 460.7 476.4 496.1 525.4 568.7 effect 27.0 24.3 28.5 33.2 35.7 38.5 41.5 44.3 47.1 48.0 47.6 47.5 47.8 50.5 48.2 44.1 35.2 36.0 15.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.960 0.995 0.985 1.000 0.995 incomp 0.770 0.925 0.970 0.980 1.000 Data set 1: | cost: 45.023 Data set 1: | cost: 51.337 Data set 1: | cost: 46.694 Data set 1: | cost: 33.650 Data set 1: | cost: 55.031 Data set 1: | cost: 61.566 Data set 1: | cost: 49.768 Data set 1: | cost: 43.507 Data set 1: | cost: 46.162 Data set 1: | cost: 43.465 Data set 1: | cost: 45.850 Data set 1: | cost: 44.194 Data set 1: | cost: 36.337 Data set 1: | cost: 37.885 Data set 1: | cost: 41.442 Data set 1: | cost: 41.150 Data set 1: | cost: 41.023 Data set 1: | cost: 34.708 Data set 1: | cost: 38.465 Data set 1: | cost: 38.475 Data set 1: | cost: 38.772 DMC Parameters: amp:20.0 tau:136 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 412 96 0.90 375 124 0.0 incomp 459 100 4.80 369 70 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 300.8 318.8 332.0 341.5 349.3 357.5 366.1 373.4 382.4 390.1 401.2 411.0 421.2 434.3 449.3 469.2 493.9 521.8 587.2 incomp 320.7 344.5 359.6 373.5 388.1 401.1 410.5 421.0 435.4 445.6 457.4 469.6 484.1 499.8 517.8 536.7 558.2 589.2 648.6 mean 310.7 331.7 345.8 357.5 368.7 379.3 388.3 397.2 408.9 417.9 429.3 440.3 452.7 467.0 483.5 503.0 526.1 555.5 617.9 effect 19.9 25.7 27.6 32.1 38.8 43.6 44.5 47.6 53.0 55.5 56.2 58.6 63.0 65.5 68.5 67.5 64.3 67.5 61.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.965 1.000 0.995 1.000 0.995 incomp 0.835 0.975 0.970 0.995 0.985 Data set 1: | cost: 79.852 Data set 1: | cost: 73.631 Data set 1: | cost: 77.116 Data set 1: | cost: 69.686 Data set 1: | cost: 87.748 Data set 1: | cost: 101.776 Data set 1: | cost: 69.520 Data set 1: | cost: 77.447 Data set 1: | cost: 77.855 Data set 1: | cost: 56.214 Data set 1: | cost: 42.350 Data set 1: | cost: 53.377 Data set 1: | cost: 61.923 Data set 1: | cost: 59.633 Data set 1: | cost: 58.514 Data set 1: | cost: 56.968 Data set 1: | cost: 58.793 Data set 1: | cost: 48.139 Data set 1: | cost: 53.714 Data set 1: | cost: 42.048 Data set 1: | cost: 36.487 DMC Parameters: amp:20.7 tau:144 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 355 93 1.00 310 89 0.0 incomp 415 108 4.90 306 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 241.4 259.8 272.1 282.4 290.3 299.8 308.8 315.7 326.6 336.3 344.1 356.7 370.1 384.1 400.8 416.7 444.0 475.7 532.9 incomp 267.5 289.0 305.8 323.0 334.5 351.0 366.8 381.2 390.5 402.8 416.7 431.4 445.6 462.8 477.5 496.6 519.0 544.9 607.3 mean 254.4 274.4 289.0 302.7 312.4 325.4 337.8 348.5 358.6 369.5 380.4 394.1 407.8 423.5 439.1 456.7 481.5 510.3 570.1 effect 26.1 29.2 33.7 40.6 44.2 51.2 58.0 65.6 63.9 66.4 72.6 74.7 75.5 78.7 76.7 79.9 75.0 69.2 74.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.970 1.000 0.995 0.990 0.995 incomp 0.825 0.975 0.970 0.985 1.000 Data set 1: | cost: 0.185 Data set 1: | cost: 0.204 Data set 1: | cost: 0.186 Data set 1: | cost: 0.285 Data set 1: | cost: 0.269 Data set 1: | cost: 0.195 Data set 1: | cost: 0.180 Data set 1: | cost: 0.164 Data set 1: | cost: 0.176 Data set 1: | cost: 0.656 Data set 1: | cost: 0.184 Data set 1: | cost: 0.140 Data set 1: | cost: 0.130 Data set 1: | cost: 0.107 Data set 1: | cost: 0.086 Data set 1: | cost: 0.128 Data set 1: | cost: 0.114 Data set 1: | cost: 0.095 Data set 1: | cost: 0.092 Data set 1: | cost: 0.122 Data set 1: | cost: 0.115 DMC Parameters: amp:18.7 tau:59 drc:0.60 bnds:69 bndsRate:0.00 bndsSaturation:0 resMean:319 resSD:26 aaShape:2.5 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 414 84 1.50 394 65 0.0 incomp 449 87 6.90 370 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 319.9 332.7 341.5 349.5 357.9 366.1 372.2 379.6 387.6 397.2 405.1 412.3 420.9 431.6 445.7 462.8 483.0 519.1 570.1 incomp 338.7 355.1 368.1 380.1 389.9 398.7 407.1 417.0 427.4 435.2 444.6 454.4 466.4 480.6 492.3 507.2 525.1 560.8 603.5 mean 329.3 343.9 354.8 364.8 373.9 382.4 389.7 398.3 407.5 416.2 424.9 433.4 443.6 456.1 469.0 485.0 504.0 540.0 586.8 effect 18.8 22.4 26.6 30.6 32.0 32.7 34.9 37.4 39.8 38.0 39.6 42.2 45.5 48.9 46.6 44.3 42.1 41.8 33.4 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.990 0.965 0.990 0.990 0.990 incomp 0.805 0.895 0.975 0.985 0.995 Data set 1: | cost: 1.125 Data set 1: | cost: 1.070 Data set 1: | cost: 0.997 Data set 1: | cost: 2.088 Data set 1: | cost: 3.387 Data set 1: | cost: 1.281 Data set 1: | cost: 1.210 Data set 1: | cost: 0.389 Data set 1: | cost: 0.802 Data set 1: | cost: 0.328 Data set 1: | cost: 0.116 Data set 1: | cost: 0.383 Data set 1: | cost: 0.425 Data set 1: | cost: 0.282 Data set 1: | cost: 0.439 Data set 1: | cost: 0.221 Data set 1: | cost: 0.267 Data set 1: | cost: 0.371 Data set 1: | cost: 0.236 Data set 1: | cost: 0.843 Data set 1: | cost: 0.299 DMC Parameters: amp:21.8 tau:285 drc:0.60 bnds:57 bndsRate:0.00 bndsSaturation:0 resMean:280 resSD:33 aaShape:2.5 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 366 68 2.70 316 59 0.0 incomp 383 82 6.00 328 61 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 275.0 289.8 302.3 310.0 317.9 324.5 332.5 339.1 347.0 354.2 361.9 370.7 379.8 390.4 404.5 417.3 433.4 454.2 496.8 incomp 275.7 293.8 306.2 315.7 327.0 334.3 343.9 352.9 361.8 369.8 379.2 388.8 399.0 411.7 423.6 439.8 461.2 487.1 542.1 mean 275.3 291.8 304.2 312.9 322.4 329.4 338.2 346.0 354.4 362.0 370.6 379.8 389.4 401.1 414.0 428.5 447.3 470.7 519.4 effect 0.7 4.0 3.9 5.8 9.1 9.8 11.4 13.7 14.8 15.6 17.3 18.1 19.2 21.3 19.1 22.4 27.8 32.8 45.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.935 0.960 0.985 0.995 0.990 incomp 0.860 0.920 0.955 0.980 0.985 Iteration: 1 bestvalit: 28.375596 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727 Iteration: 2 bestvalit: 28.375596 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727 Iteration: 3 bestvalit: 28.375596 bestmemit: 31.912951 80.279871 0.603147 75.022553 309.008957 64.538561 1.447272 2.696727 Iteration: 4 bestvalit: 22.760376 bestmemit: 13.029595 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 5 bestvalit: 22.760376 bestmemit: 13.029595 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 6 bestvalit: 22.760376 bestmemit: 13.029595 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 7 bestvalit: 22.760376 bestmemit: 13.029595 70.044662 0.563174 65.640777 305.744327 30.082364 2.783792 3.574952 Iteration: 8 bestvalit: 21.251308 bestmemit: 16.467518 15.860252 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 9 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 10 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 11 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 12 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 13 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 14 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 15 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 16 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 17 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 18 bestvalit: 17.934858 bestmemit: 16.467518 40.284939 0.794452 44.862655 365.889392 48.036011 1.768256 3.710457 Iteration: 19 bestvalit: 13.947508 bestmemit: 14.289619 135.596954 0.634898 59.378984 334.241451 28.261963 1.782025 2.108673 Iteration: 20 bestvalit: 13.077465 bestmemit: 14.289619 135.596954 0.634898 59.378984 334.241451 28.261963 1.782025 2.279878 DMC Parameters: amp:14.3 tau:136 drc:0.63 bnds:59 bndsRate:0.00 bndsSaturation:0 resMean:334 resSD:28 aaShape:1.8 spShape:2.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 411 66 2.50 362 46 0.0 incomp 444 78 6.30 378 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 326.2 341.3 349.4 358.1 367.0 374.2 379.3 386.2 392.2 400.2 407.8 414.9 421.9 430.1 442.7 460.0 475.6 500.1 532.2 incomp 342.6 357.5 369.9 378.8 386.4 393.8 404.0 414.1 420.3 428.7 437.2 449.5 460.5 474.9 487.9 502.8 521.1 551.0 591.5 mean 334.4 349.4 359.6 368.4 376.7 384.0 391.7 400.1 406.3 414.4 422.5 432.2 441.2 452.5 465.3 481.4 498.4 525.5 561.8 effect 16.4 16.2 20.6 20.8 19.3 19.6 24.6 27.9 28.1 28.5 29.4 34.6 38.6 44.8 45.1 42.9 45.5 51.0 59.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.925 0.990 0.985 0.975 1.000 incomp 0.830 0.930 0.965 0.965 0.995 Iteration: 1 bestvalit: 0.348698 bestmemit: 26.389356 174.709218 0.560654 80.221592 296.930178 18.648683 1.428041 2.568712 Iteration: 2 bestvalit: 0.188627 bestmemit: 17.093827 18.298465 0.577900 68.441723 289.917907 47.488066 2.200367 3.618138 Iteration: 3 bestvalit: 0.157360 bestmemit: 31.150883 5.536972 0.866473 101.079783 278.273802 23.270769 2.214878 3.168023 Iteration: 4 bestvalit: 0.123289 bestmemit: 35.130172 221.580374 0.527904 54.947880 303.272745 37.087109 2.603723 2.963524 Iteration: 5 bestvalit: 0.123289 bestmemit: 35.130172 221.580374 0.527904 54.947880 303.272745 37.087109 2.603723 2.963524 Iteration: 6 bestvalit: 0.116024 bestmemit: 13.741120 200.892620 0.470234 61.888144 288.394437 9.134855 2.346082 3.807354 Iteration: 7 bestvalit: 0.116024 bestmemit: 13.741120 200.892620 0.470234 61.888144 288.394437 9.134855 2.346082 3.807354 Iteration: 8 bestvalit: 0.113284 bestmemit: 12.958854 76.262605 0.894155 82.965059 315.526235 27.538119 1.589609 2.234655 Iteration: 9 bestvalit: 0.103078 bestmemit: 12.958854 76.262605 0.894155 82.965059 315.526235 31.121953 2.017481 2.454691 Iteration: 10 bestvalit: 0.098358 bestmemit: 35.130172 221.580374 0.527904 54.947880 303.272745 26.580914 2.603723 2.963524 Iteration: 11 bestvalit: 0.098358 bestmemit: 35.130172 221.580374 0.527904 54.947880 303.272745 26.580914 2.603723 2.963524 Iteration: 12 bestvalit: 0.098358 bestmemit: 35.130172 221.580374 0.527904 54.947880 303.272745 26.580914 2.603723 2.963524 Iteration: 13 bestvalit: 0.066360 bestmemit: 1.727068 82.201459 0.625608 49.391842 336.791251 47.084989 2.127725 2.350680 Iteration: 14 bestvalit: 0.066360 bestmemit: 1.727068 82.201459 0.625608 49.391842 336.791251 47.084989 2.127725 2.350680 Iteration: 15 bestvalit: 0.066360 bestmemit: 1.727068 82.201459 0.625608 49.391842 336.791251 47.084989 2.127725 2.350680 Iteration: 16 bestvalit: 0.066360 bestmemit: 1.727068 82.201459 0.625608 49.391842 336.791251 47.084989 2.127725 2.350680 Iteration: 17 bestvalit: 0.066360 bestmemit: 1.727068 82.201459 0.625608 49.391842 336.791251 47.084989 2.127725 2.350680 Iteration: 18 bestvalit: 0.057647 bestmemit: 7.109230 86.021402 0.527904 54.947880 303.272745 28.508167 2.270981 2.963524 Iteration: 19 bestvalit: 0.057647 bestmemit: 7.109230 86.021402 0.527904 54.947880 303.272745 28.508167 2.270981 2.963524 Iteration: 20 bestvalit: 0.057647 bestmemit: 7.109230 86.021402 0.527904 54.947880 303.272745 28.508167 2.270981 2.963524 DMC Parameters: amp:7.1 tau:86 drc:0.53 bnds:55 bndsRate:0.00 bndsSaturation:0 resMean:303 resSD:29 aaShape:2.3 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 389 71 4.60 371 72 0.0 incomp 412 82 6.60 355 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 302.7 315.5 322.7 331.7 337.8 345.8 353.0 361.5 368.1 375.6 384.5 392.1 401.0 410.0 422.8 436.4 457.9 480.1 513.2 incomp 307.6 323.5 335.5 346.0 354.5 362.8 370.2 378.9 387.1 396.6 405.6 416.1 426.8 439.3 457.4 476.5 492.8 528.9 561.1 mean 305.2 319.5 329.1 338.9 346.1 354.3 361.6 370.2 377.6 386.1 395.1 404.1 413.9 424.6 440.1 456.5 475.4 504.5 537.1 effect 4.9 8.0 12.9 14.3 16.6 17.0 17.2 17.5 19.0 21.0 21.1 24.0 25.8 29.4 34.6 40.1 34.9 48.9 47.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.925 0.940 0.955 0.980 0.970 incomp 0.850 0.925 0.925 0.980 0.990 Iteration: 1 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 2 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 3 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 4 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 5 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 6 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 7 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 8 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 9 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 10 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 11 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 12 bestvalit: 22.556937 bestmemit: 15.796221 270.551613 0.594211 48.591791 337.590029 25.507823 2.081472 3.451688 Iteration: 13 bestvalit: 21.160383 bestmemit: 17.626358 41.003825 0.936657 79.433786 348.859945 39.060223 2.192137 3.066838 Iteration: 14 bestvalit: 21.160383 bestmemit: 17.626358 41.003825 0.936657 79.433786 348.859945 39.060223 2.192137 3.066838 Iteration: 15 bestvalit: 19.759012 bestmemit: 38.657685 162.158055 0.971299 105.976482 312.816750 24.343725 1.352473 3.010101 Iteration: 16 bestvalit: 19.759012 bestmemit: 38.657685 162.158055 0.971299 105.976482 312.816750 24.343725 1.352473 3.010101 Iteration: 17 bestvalit: 19.759012 bestmemit: 38.657685 162.158055 0.971299 105.976482 312.816750 24.343725 1.352473 3.010101 Iteration: 18 bestvalit: 19.603503 bestmemit: 23.967019 187.114195 0.815471 81.119466 334.171086 24.349274 1.288500 3.286540 Iteration: 19 bestvalit: 16.271178 bestmemit: 23.967019 187.114195 0.815471 81.119466 324.281140 31.228697 1.288500 3.286540 Iteration: 20 bestvalit: 16.271178 bestmemit: 23.967019 187.114195 0.815471 81.119466 324.281140 31.228697 1.288500 3.286540 DMC Parameters: amp:24.0 tau:187 drc:0.82 bnds:81 bndsRate:0.00 bndsSaturation:0 resMean:324 resSD:31 aaShape:1.3 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 412 66 0.10 536 0 0.0 incomp 436 63 2.30 356 28 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 319.5 337.2 348.5 358.5 367.7 373.8 380.7 387.6 394.5 402.8 411.5 419.6 427.2 436.3 445.9 460.4 473.4 495.6 539.6 incomp 339.8 359.6 368.1 379.3 389.2 400.6 409.8 418.4 427.1 433.4 440.8 447.8 456.7 465.5 474.1 485.4 498.2 516.3 543.8 mean 329.6 348.4 358.3 368.9 378.5 387.2 395.2 403.0 410.8 418.1 426.1 433.7 441.9 450.9 460.0 472.9 485.8 506.0 541.7 effect 20.3 22.4 19.6 20.8 21.5 26.8 29.1 30.8 32.6 30.6 29.3 28.2 29.5 29.2 28.2 25.0 24.8 20.8 4.2 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 1.000 1.000 1.000 1.000 0.995 incomp 0.915 0.970 1.000 1.000 1.000 Iteration: 1 bestvalit: 34.267869 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 36.478519 2.781291 2.675702 Iteration: 2 bestvalit: 34.267869 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 36.478519 2.781291 2.675702 Iteration: 3 bestvalit: 34.267869 bestmemit: 37.235935 141.216996 0.947575 30.564465 351.997402 36.478519 2.781291 2.675702 Iteration: 4 bestvalit: 28.042398 bestmemit: 19.417872 9.619762 0.957890 71.641744 307.162859 30.520127 2.889638 2.151352 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 0.66 470 91 0.0 incomp 459 95 1.31 410 95 0.0 Delta Values (Correct): 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% comp 331.7 355.1 375.0 395.2 417.0 442.2 473.0 513.2 578.7 incomp 363.8 386.1 403.9 420.8 439.1 459.1 484.7 519.4 579.6 mean 347.7 370.6 389.5 408.0 428.0 450.7 478.8 516.3 579.2 effect 32.1 31.0 28.9 25.6 22.1 17.0 11.7 6.2 0.9 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.998 0.996 0.992 0.991 0.991 incomp 0.968 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 0.66 470 88 0.0 incomp 458 95 1.32 405 99 0.0 Delta Values (Correct): 10.0% 30.0% 50.0% 70.0% 90.0% comp 332.1 375.0 417.2 472.7 578.4 incomp 363.8 403.6 438.2 483.5 578.8 mean 347.9 389.3 427.7 478.1 578.6 effect 31.7 28.6 21.0 10.9 0.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.991 0.989 0.992 incomp 0.964 0.990 0.993 0.994 0.992 DMC Parameters: amp:20.0 tau:30 drc:0.50 bnds:75 bndsRate:0.00 bndsSaturation:0 resMean:300 resSD:30 aaShape:2.0 spShape:3.0 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 440 106 0.66 476 100 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 331.8 355.3 375.1 395.2 416.9 442.4 473.3 513.5 579.6 incomp 363.3 385.7 403.7 420.6 438.5 458.6 483.9 518.8 579.3 mean 347.5 370.5 389.4 407.9 427.7 450.5 478.6 516.2 579.5 effect 31.5 30.4 28.7 25.3 21.6 16.2 10.6 5.3 -0.3 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.999 0.996 0.991 0.990 0.991 incomp 0.964 0.990 0.994 0.994 0.992 Data set 1: | cost: 40.404 Data set 1: | cost: 39.965 Data set 1: | cost: 42.365 Data set 1: | cost: 29.991 Data set 1: | cost: 54.794 Data set 1: | cost: 55.294 Data set 1: | cost: 40.874 Data set 1: | cost: 38.727 Data set 1: | cost: 38.167 Data set 1: | cost: 29.557 Data set 1: | cost: 41.809 Data set 1: | cost: 25.436 Data set 1: | cost: 25.589 Data set 1: | cost: 26.538 Data set 1: | cost: 31.169 Data set 1: | cost: 24.975 Data set 1: | cost: 25.901 Data set 1: | cost: 23.935 Data set 1: | cost: 26.689 Data set 1: | cost: 25.676 Data set 1: | cost: 23.439 Data set 1: | cost: 26.794 Data set 1: | cost: 29.160 Data set 1: | cost: 27.204 Data set 1: | cost: 26.046 Data set 1: | cost: 28.045 Data set 1: | cost: 25.458 Data set 1: | cost: 20.828 Data set 1: | cost: 17.461 Data set 1: | cost: 27.980 Data set 1: | cost: 24.155 Data set 1: | cost: 22.277 Data set 1: | cost: 21.387 Data set 1: | cost: 26.636 Data set 1: | cost: 21.121 Data set 1: | cost: 24.217 Data set 1: | cost: 21.264 Data set 1: | cost: 23.489 Data set 1: | cost: 22.910 Data set 1: | cost: 20.541 Data set 1: | cost: 23.116 Data set 1: | cost: 21.209 Data set 1: | cost: 24.414 Data set 1: | cost: 14.957 Data set 1: | cost: 12.131 Data set 1: | cost: 19.072 Data set 1: | cost: 16.360 Data set 1: | cost: 14.264 Data set 1: | cost: 17.750 Data set 1: | cost: 18.261 Data set 1: | cost: 16.905 Data set 1: | cost: 14.697 Data set 1: | cost: 15.487 Data set 1: | cost: 16.798 Data set 1: | cost: 16.631 Data set 1: | cost: 13.367 Data set 1: | cost: 10.366 Data set 1: | cost: 16.675 Data set 1: | cost: 14.546 Data set 1: | cost: 18.339 Data set 1: | cost: 13.682 Data set 1: | cost: 11.689 Data set 1: | cost: 13.308 Data set 1: | cost: 15.786 Data set 1: | cost: 17.237 Data set 1: | cost: 9.502 Data set 1: | cost: 14.592 Data set 1: | cost: 15.809 Data set 1: | cost: 12.430 Data set 1: | cost: 12.218 Data set 1: | cost: 14.346 Data set 1: | cost: 11.938 Data set 1: | cost: 13.624 Data set 1: | cost: 13.739 Data set 1: | cost: 16.231 Data set 1: | cost: 14.314 Data set 1: | cost: 14.506 Data set 1: | cost: 11.638 Data set 1: | cost: 13.156 Data set 1: | cost: 11.677 Data set 1: | cost: 13.017 Data set 1: | cost: 14.180 Data set 1: | cost: 14.340 Data set 1: | cost: 11.642 Data set 1: | cost: 13.412 Data set 1: | cost: 17.856 Data set 1: | cost: 13.366 Data set 1: | cost: 15.444 Data set 1: | cost: 12.276 Data set 1: | cost: 10.761 Data set 1: | cost: 13.564 Data set 1: | cost: 12.111 Data set 1: | cost: 12.920 Data set 1: | cost: 11.601 Data set 1: | cost: 13.942 Data set 1: | cost: 11.029 Data set 1: | cost: 10.648 Data set 1: | cost: 13.043 Data set 1: | cost: 13.975 Data set 1: | cost: 10.593 Data set 1: | cost: 14.137 Data set 1: | cost: 12.030 Data set 1: | cost: 12.435 Data set 1: | cost: 12.205 Data set 1: | cost: 18.988 Data set 1: | cost: 10.283 Data set 1: | cost: 8.074 Data set 1: | cost: 16.086 Data set 1: | cost: 13.874 Data set 1: | cost: 14.411 Data set 1: | cost: 11.954 Data set 1: | cost: 17.788 Data set 1: | cost: 10.585 Data set 1: | cost: 11.288 Data set 1: | cost: 16.547 Data set 1: | cost: 17.899 Data set 1: | cost: 13.738 Data set 1: | cost: 12.312 Data set 1: | cost: 10.857 Data set 1: | cost: 14.340 Data set 1: | cost: 10.850 Data set 1: | cost: 12.877 Data set 1: | cost: 12.205 Data set 1: | cost: 13.638 Data set 1: | cost: 16.820 Data set 1: | cost: 13.406 Data set 1: | cost: 18.052 Data set 1: | cost: 12.447 Data set 1: | cost: 14.996 Data set 1: | cost: 16.428 Data set 1: | cost: 13.600 Data set 1: | cost: 11.489 Data set 1: | cost: 10.866 Data set 1: | cost: 12.368 Data set 1: | cost: 14.415 Data set 1: | cost: 8.985 Data set 1: | cost: 11.938 Data set 1: | cost: 9.613 Data set 1: | cost: 12.251 Data set 1: | cost: 12.694 Data set 1: | cost: 16.258 Data set 1: | cost: 13.497 Data set 1: | cost: 14.858 Data set 1: | cost: 11.117 Data set 1: | cost: 14.062 Data set 1: | cost: 9.824 Data set 1: | cost: 11.130 Data set 1: | cost: 12.285 Data set 1: | cost: 15.071 Data set 1: | cost: 9.292 Data set 1: | cost: 16.474 Data set 1: | cost: 13.620 Data set 1: | cost: 14.847 Data set 1: | cost: 11.161 Data set 1: | cost: 16.963 Data set 1: | cost: 14.277 Data set 1: | cost: 13.999 Data set 1: | cost: 14.135 Data set 1: | cost: 10.952 Data set 1: | cost: 13.107 Data set 1: | cost: 14.884 Data set 1: | cost: 16.107 Data set 1: | cost: 13.149 Data set 1: | cost: 11.357 Data set 1: | cost: 14.208 Data set 1: | cost: 13.134 Data set 1: | cost: 12.817 Data set 1: | cost: 13.447 Data set 1: | cost: 9.427 Data set 1: | cost: 12.850 Data set 1: | cost: 13.302 Data set 1: | cost: 11.061 Data set 1: | cost: 11.936 Data set 1: | cost: 12.467 Data set 1: | cost: 11.483 Data set 1: | cost: 18.344 Data set 1: | cost: 11.427 Data set 1: | cost: 12.693 Data set 1: | cost: 12.201 Data set 1: | cost: 15.231 Data set 1: | cost: 12.425 Data set 1: | cost: 9.337 Data set 1: | cost: 11.645 Data set 1: | cost: 10.870 Data set 1: | cost: 11.366 Data set 1: | cost: 12.902 Data set 1: | cost: 14.344 Data set 1: | cost: 13.343 Data set 1: | cost: 12.039 Data set 1: | cost: 13.220 Data set 1: | cost: 11.172 Data set 1: | cost: 13.046 Data set 1: | cost: 11.125 Data set 1: | cost: 12.329 Data set 1: | cost: 10.714 Data set 1: | cost: 11.695 Data set 1: | cost: 11.551 Data set 1: | cost: 13.250 Data set 1: | cost: 12.212 Data set 1: | cost: 9.263 Data set 1: | cost: 7.855 Data set 1: | cost: 14.605 Data set 1: | cost: 11.934 Data set 1: | cost: 16.734 Data set 1: | cost: 11.885 Data set 1: | cost: 11.721 Data set 1: | cost: 13.112 Data set 1: | cost: 15.047 Data set 1: | cost: 11.383 Data set 1: | cost: 11.820 Data set 1: | cost: 11.589 Data set 1: | cost: 10.830 Data set 1: | cost: 13.858 Data set 1: | cost: 11.709 Data set 1: | cost: 11.793 Data set 1: | cost: 15.225 Data set 1: | cost: 12.303 Data set 1: | cost: 12.312 Data set 1: | cost: 15.823 Data set 1: | cost: 13.828 Data set 1: | cost: 11.659 Data set 1: | cost: 11.871 Data set 1: | cost: 12.343 Data set 1: | cost: 9.932 Data set 1: | cost: 11.044 Data set 1: | cost: 14.468 Data set 1: | cost: 12.325 Data set 1: | cost: 13.103 Data set 1: | cost: 13.855 Data set 1: | cost: 15.620 Data set 1: | cost: 10.644 Data set 1: | cost: 11.984 Data set 1: | cost: 9.943 Data set 1: | cost: 13.741 Data set 1: | cost: 14.720 Data set 1: | cost: 9.868 Data set 1: | cost: 12.108 Data set 1: | cost: 13.882 Data set 1: | cost: 14.331 Data set 1: | cost: 15.686 Data set 1: | cost: 10.630 Data set 1: | cost: 11.538 Data set 1: | cost: 12.608 Data set 1: | cost: 11.692 Data set 1: | cost: 11.602 Data set 1: | cost: 15.136 Data set 1: | cost: 12.497 Data set 1: | cost: 13.436 Data set 1: | cost: 10.549 Data set 1: | cost: 9.504 Data set 1: | cost: 12.472 Data set 1: | cost: 12.819 Data set 1: | cost: 10.913 Data set 1: | cost: 11.680 Data set 1: | cost: 12.898 Data set 1: | cost: 11.148 Data set 1: | cost: 12.371 Data set 1: | cost: 10.693 Data set 1: | cost: 13.248 Data set 1: | cost: 15.006 Data set 1: | cost: 11.840 Data set 1: | cost: 12.855 Data set 1: | cost: 12.077 Data set 1: | cost: 17.614 Data set 1: | cost: 10.036 Data set 1: | cost: 11.575 Data set 1: | cost: 12.205 Data set 1: | cost: 9.250 Data set 1: | cost: 12.676 Data set 1: | cost: 12.662 Data set 1: | cost: 12.708 Data set 1: | cost: 15.159 Data set 1: | cost: 11.506 Data set 1: | cost: 15.707 Data set 1: | cost: 14.822 Data set 1: | cost: 11.686 Data set 1: | cost: 12.058 Data set 1: | cost: 10.639 Data set 1: | cost: 13.755 Data set 1: | cost: 10.894 Data set 1: | cost: 10.430 Data set 1: | cost: 12.656 Data set 1: | cost: 14.340 Data set 1: | cost: 8.126 Data set 1: | cost: 9.848 Data set 1: | cost: 11.988 Data set 1: | cost: 11.858 Data set 1: | cost: 13.434 Data set 1: | cost: 13.232 Data set 1: | cost: 13.594 Data set 1: | cost: 14.665 Data set 1: | cost: 9.668 Data set 1: | cost: 11.492 Data set 1: | cost: 12.415 Data set 1: | cost: 14.440 Data set 1: | cost: 13.652 Data set 1: | cost: 10.853 Data set 1: | cost: 16.401 Data set 1: | cost: 11.294 Data set 1: | cost: 13.176 Data set 1: | cost: 14.787 Data set 1: | cost: 14.335 Data set 1: | cost: 15.013 Data set 1: | cost: 10.842 Data set 1: | cost: 13.141 Data set 1: | cost: 12.823 Data set 1: | cost: 11.705 Data set 1: | cost: 13.645 Data set 1: | cost: 13.371 Data set 1: | cost: 11.593 Data set 1: | cost: 14.231 Data set 1: | cost: 15.267 Data set 1: | cost: 12.487 Data set 1: | cost: 10.046 Data set 1: | cost: 11.344 Data set 1: | cost: 13.492 Data set 1: | cost: 11.666 Data set 1: | cost: 9.593 Data set 1: | cost: 12.979 Data set 1: | cost: 11.342 Data set 1: | cost: 12.269 Data set 1: | cost: 12.151 Data set 1: | cost: 15.543 Data set 1: | cost: 17.616 Data set 1: | cost: 11.277 Data set 1: | cost: 14.304 Data set 1: | cost: 15.670 Data set 1: | cost: 13.170 Data set 1: | cost: 13.445 Data set 1: | cost: 11.724 Data set 1: | cost: 12.731 Data set 1: | cost: 15.195 Data set 1: | cost: 10.100 Data set 1: | cost: 13.152 Data set 1: | cost: 14.060 Data set 1: | cost: 15.971 Data set 1: | cost: 11.557 Data set 1: | cost: 11.196 Data set 1: | cost: 13.125 Data set 1: | cost: 13.313 Data set 1: | cost: 12.258 Data set 1: | cost: 14.194 Data set 1: | cost: 13.920 Data set 1: | cost: 9.842 Data set 1: | cost: 9.198 Data set 1: | cost: 10.056 Data set 1: | cost: 13.722 Data set 1: | cost: 10.991 Data set 1: | cost: 12.030 Data set 1: | cost: 12.376 Data set 1: | cost: 14.354 Data set 1: | cost: 10.093 Data set 1: | cost: 14.415 Data set 1: | cost: 11.726 Data set 1: | cost: 11.923 Data set 1: | cost: 13.541 Data set 1: | cost: 12.848 Data set 1: | cost: 16.332 Data set 1: | cost: 11.962 Data set 1: | cost: 14.847 Data set 1: | cost: 15.442 Data set 1: | cost: 10.355 Data set 1: | cost: 16.133 Data set 1: | cost: 16.367 Data set 1: | cost: 12.868 Data set 1: | cost: 11.272 Data set 1: | cost: 15.855 Data set 1: | cost: 9.376 Data set 1: | cost: 14.234 Data set 1: | cost: 12.774 Data set 1: | cost: 13.189 Data set 1: | cost: 14.962 Data set 1: | cost: 14.913 Data set 1: | cost: 15.233 Data set 1: | cost: 8.450 Data set 1: | cost: 9.757 Data set 1: | cost: 13.416 Data set 1: | cost: 12.123 Data set 1: | cost: 11.825 Data set 1: | cost: 13.497 Data set 1: | cost: 11.133 Data set 1: | cost: 11.655 Data set 1: | cost: 15.732 Data set 1: | cost: 12.623 Data set 1: | cost: 14.044 Data set 1: | cost: 14.464 Data set 1: | cost: 11.404 Data set 1: | cost: 15.210 Data set 1: | cost: 12.388 Data set 1: | cost: 15.832 Data set 1: | cost: 13.709 Data set 1: | cost: 10.991 Data set 1: | cost: 10.784 Data set 1: | cost: 9.475 Data set 1: | cost: 12.087 Data set 1: | cost: 11.181 Data set 1: | cost: 9.749 Data set 1: | cost: 10.206 Data set 1: | cost: 12.992 Data set 1: | cost: 13.171 Data set 1: | cost: 11.244 Data set 1: | cost: 10.093 Data set 1: | cost: 11.249 Data set 1: | cost: 14.235 Data set 1: | cost: 11.905 Data set 1: | cost: 12.812 Data set 1: | cost: 15.843 Data set 1: | cost: 12.193 Data set 1: | cost: 10.541 Data set 1: | cost: 11.604 Data set 1: | cost: 17.377 Data set 1: | cost: 11.923 Data set 1: | cost: 9.148 Data set 1: | cost: 11.162 Data set 1: | cost: 17.848 Data set 1: | cost: 10.082 Data set 1: | cost: 16.041 Data set 1: | cost: 10.315 Data set 1: | cost: 13.043 Data set 1: | cost: 14.174 Data set 1: | cost: 12.411 Data set 1: | cost: 13.416 Data set 1: | cost: 14.897 Data set 1: | cost: 13.802 Data set 1: | cost: 15.209 Data set 1: | cost: 11.859 Data set 1: | cost: 10.321 Data set 1: | cost: 11.182 Data set 1: | cost: 12.307 Data set 1: | cost: 14.465 Data set 1: | cost: 9.872 Data set 1: | cost: 14.534 Data set 1: | cost: 18.583 Data set 1: | cost: 14.304 Data set 1: | cost: 12.666 Data set 1: | cost: 15.105 Data set 1: | cost: 11.048 Data set 1: | cost: 12.327 Data set 1: | cost: 14.414 Data set 1: | cost: 13.124 Data set 1: | cost: 19.551 Data set 1: | cost: 11.056 Data set 1: | cost: 10.710 Data set 1: | cost: 10.741 Data set 1: | cost: 14.413 Data set 1: | cost: 9.476 Data set 1: | cost: 14.464 Data set 1: | cost: 12.546 Data set 1: | cost: 12.082 Data set 1: | cost: 9.279 Data set 1: | cost: 12.517 Data set 1: | cost: 8.142 Data set 1: | cost: 10.328 Data set 1: | cost: 10.897 Data set 1: | cost: 10.992 Data set 1: | cost: 14.640 Data set 1: | cost: 13.991 Data set 1: | cost: 14.013 Data set 1: | cost: 11.986 Data set 1: | cost: 13.886 Data set 1: | cost: 13.966 Data set 1: | cost: 14.005 Data set 1: | cost: 11.718 Data set 1: | cost: 11.811 Data set 1: | cost: 14.903 Data set 1: | cost: 12.151 Data set 1: | cost: 16.207 Data set 1: | cost: 15.385 Data set 1: | cost: 13.051 Data set 1: | cost: 11.455 Data set 1: | cost: 11.703 Data set 1: | cost: 9.967 Data set 1: | cost: 12.881 Data set 1: | cost: 16.118 Data set 1: | cost: 12.442 Data set 1: | cost: 12.494 Data set 1: | cost: 10.968 Data set 1: | cost: 11.469 Data set 1: | cost: 14.012 Data set 1: | cost: 12.100 Data set 1: | cost: 15.131 Data set 1: | cost: 11.100 Data set 1: | cost: 13.995 Data set 1: | cost: 11.427 Data set 1: | cost: 10.202 Data set 1: | cost: 14.386 Data set 1: | cost: 12.614 Data set 1: | cost: 11.544 Data set 1: | cost: 15.649 Data set 1: | cost: 13.562 Data set 1: | cost: 11.921 Data set 1: | cost: 10.207 Data set 1: | cost: 11.892 Data set 1: | cost: 10.098 Data set 1: | cost: 11.766 Data set 1: | cost: 11.537 Data set 1: | cost: 13.250 Data set 1: | cost: 15.679 Data set 1: | cost: 15.167 Data set 1: | cost: 11.779 Data set 1: | cost: 15.033 Data set 1: | cost: 10.562 Data set 1: | cost: 12.760 Data set 1: | cost: 14.522 Data set 1: | cost: 13.280 Data set 1: | cost: 13.710 Data set 1: | cost: 11.873 Data set 1: | cost: 11.415 Data set 1: | cost: 15.718 DMC Parameters: amp:20.0 tau:86 drc:0.57 bnds:57 bndsRate:0.00 bndsSaturation:0 resMean:321 resSD:29 aaShape:2.1 spShape:3.3 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 395 67 1.50 390 69 0.0 incomp 436 77 9.60 380 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 312.1 322.3 331.6 343.7 350.8 357.2 365.4 371.8 376.9 383.4 389.6 397.2 405.3 413.5 422.9 439.1 455.2 487.4 530.1 incomp 328.0 348.6 360.9 372.4 381.1 390.2 399.7 408.2 418.7 428.7 440.1 447.5 455.9 467.7 482.6 496.6 512.2 535.7 563.6 mean 320.1 335.4 346.3 358.1 365.9 373.7 382.5 390.0 397.8 406.0 414.8 422.4 430.6 440.6 452.8 467.8 483.7 511.6 546.9 effect 16.0 26.4 29.3 28.7 30.3 32.9 34.3 36.4 41.8 45.3 50.5 50.3 50.6 54.1 59.8 57.5 57.0 48.3 33.5 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.980 0.990 0.990 0.975 0.990 incomp 0.760 0.895 0.930 0.960 0.975 Data set 1: | cost: 40.423 Data set 1: | cost: 48.424 Data set 1: | cost: 46.115 Data set 1: | cost: 31.822 Data set 1: | cost: 59.260 Data set 1: | cost: 66.021 Data set 1: | cost: 51.983 Data set 1: | cost: 43.329 Data set 1: | cost: 38.167 Data set 1: | cost: 31.028 Data set 1: | cost: 35.204 Data set 1: | cost: 27.625 Data set 1: | cost: 29.345 Data set 1: | cost: 32.889 Data set 1: | cost: 34.176 Data set 1: | cost: 30.939 Data set 1: | cost: 28.077 Data set 1: | cost: 29.159 Data set 1: | cost: 29.264 Data set 1: | cost: 23.997 Data set 1: | cost: 24.220 Data set 1: | cost: 24.144 Data set 1: | cost: 27.653 Data set 1: | cost: 26.247 Data set 1: | cost: 25.692 Data set 1: | cost: 26.789 Data set 1: | cost: 27.822 Data set 1: | cost: 29.004 Data set 1: | cost: 25.554 Data set 1: | cost: 21.872 Data set 1: | cost: 16.082 Data set 1: | cost: 20.803 Data set 1: | cost: 23.616 Data set 1: | cost: 25.947 Data set 1: | cost: 22.841 Data set 1: | cost: 26.166 Data set 1: | cost: 19.904 Data set 1: | cost: 21.621 Data set 1: | cost: 19.436 Data set 1: | cost: 18.857 Data set 1: | cost: 23.087 Data set 1: | cost: 16.734 Data set 1: | cost: 19.298 Data set 1: | cost: 15.744 Data set 1: | cost: 11.903 Data set 1: | cost: 22.313 Data set 1: | cost: 18.954 Data set 1: | cost: 14.034 Data set 1: | cost: 13.659 Data set 1: | cost: 15.215 Data set 1: | cost: 15.133 Data set 1: | cost: 15.729 Data set 1: | cost: 16.305 Data set 1: | cost: 11.534 Data set 1: | cost: 17.503 Data set 1: | cost: 15.217 Data set 1: | cost: 20.414 Data set 1: | cost: 26.437 Data set 1: | cost: 16.984 Data set 1: | cost: 17.756 Data set 1: | cost: 15.341 Data set 1: | cost: 18.685 Data set 1: | cost: 15.024 Data set 1: | cost: 14.904 Data set 1: | cost: 13.329 Data set 1: | cost: 16.235 Data set 1: | cost: 19.185 Data set 1: | cost: 16.089 Data set 1: | cost: 15.581 Data set 1: | cost: 13.722 Data set 1: | cost: 13.671 Data set 1: | cost: 15.444 Data set 1: | cost: 14.338 Data set 1: | cost: 15.076 Data set 1: | cost: 14.070 Data set 1: | cost: 19.442 Data set 1: | cost: 15.076 Data set 1: | cost: 14.069 Data set 1: | cost: 11.959 Data set 1: | cost: 11.955 Data set 1: | cost: 12.112 Data set 1: | cost: 15.198 Data set 1: | cost: 11.360 Data set 1: | cost: 11.661 Data set 1: | cost: 13.391 Data set 1: | cost: 13.476 Data set 1: | cost: 12.047 Data set 1: | cost: 14.701 Data set 1: | cost: 12.841 Data set 1: | cost: 13.821 Data set 1: | cost: 18.032 Data set 1: | cost: 19.378 Data set 1: | cost: 18.685 Data set 1: | cost: 11.461 Data set 1: | cost: 17.352 Data set 1: | cost: 14.192 Data set 1: | cost: 13.017 Data set 1: | cost: 13.994 Data set 1: | cost: 14.012 Data set 1: | cost: 15.613 Data set 1: | cost: 16.258 Data set 1: | cost: 15.293 Data set 1: | cost: 15.589 Data set 1: | cost: 16.231 Data set 1: | cost: 14.641 Data set 1: | cost: 14.759 Data set 1: | cost: 10.055 Data set 1: | cost: 15.113 Data set 1: | cost: 12.013 Data set 1: | cost: 13.024 Data set 1: | cost: 14.250 Data set 1: | cost: 16.087 Data set 1: | cost: 14.968 Data set 1: | cost: 12.760 Data set 1: | cost: 13.628 Data set 1: | cost: 13.964 Data set 1: | cost: 13.629 Data set 1: | cost: 14.716 Data set 1: | cost: 12.654 Data set 1: | cost: 10.250 Data set 1: | cost: 12.360 Data set 1: | cost: 12.433 Data set 1: | cost: 13.970 Data set 1: | cost: 11.810 Data set 1: | cost: 17.591 Data set 1: | cost: 13.636 Data set 1: | cost: 15.276 Data set 1: | cost: 11.103 Data set 1: | cost: 14.913 Data set 1: | cost: 16.103 Data set 1: | cost: 14.380 Data set 1: | cost: 14.768 Data set 1: | cost: 15.375 Data set 1: | cost: 15.500 Data set 1: | cost: 14.095 Data set 1: | cost: 12.989 Data set 1: | cost: 13.687 Data set 1: | cost: 15.053 Data set 1: | cost: 10.489 Data set 1: | cost: 13.476 Data set 1: | cost: 15.190 Data set 1: | cost: 15.464 Data set 1: | cost: 14.931 Data set 1: | cost: 17.930 Data set 1: | cost: 12.772 Data set 1: | cost: 15.500 Data set 1: | cost: 10.630 Data set 1: | cost: 18.346 Data set 1: | cost: 12.603 Data set 1: | cost: 13.240 Data set 1: | cost: 16.376 Data set 1: | cost: 13.662 Data set 1: | cost: 17.150 Data set 1: | cost: 12.249 Data set 1: | cost: 15.439 Data set 1: | cost: 15.282 Data set 1: | cost: 13.322 Data set 1: | cost: 12.172 Data set 1: | cost: 12.509 Data set 1: | cost: 13.780 Data set 1: | cost: 12.284 Data set 1: | cost: 20.877 Data set 1: | cost: 13.203 Data set 1: | cost: 15.509 Data set 1: | cost: 13.766 Data set 1: | cost: 11.550 Data set 1: | cost: 12.907 Data set 1: | cost: 13.139 Data set 1: | cost: 14.609 Data set 1: | cost: 14.992 Data set 1: | cost: 21.457 Data set 1: | cost: 13.373 Data set 1: | cost: 12.496 Data set 1: | cost: 13.245 Data set 1: | cost: 12.562 Data set 1: | cost: 16.408 Data set 1: | cost: 12.613 Data set 1: | cost: 14.563 Data set 1: | cost: 21.825 Data set 1: | cost: 14.964 Data set 1: | cost: 13.843 Data set 1: | cost: 13.530 Data set 1: | cost: 18.016 Data set 1: | cost: 12.434 Data set 1: | cost: 11.959 Data set 1: | cost: 13.410 Data set 1: | cost: 13.461 Data set 1: | cost: 21.004 Data set 1: | cost: 20.127 Data set 1: | cost: 12.859 Data set 1: | cost: 18.355 Data set 1: | cost: 13.343 Data set 1: | cost: 15.771 Data set 1: | cost: 14.111 Data set 1: | cost: 17.385 Data set 1: | cost: 12.388 Data set 1: | cost: 12.127 Data set 1: | cost: 14.185 Data set 1: | cost: 14.219 Data set 1: | cost: 11.249 Data set 1: | cost: 11.158 Data set 1: | cost: 12.703 Data set 1: | cost: 11.424 Data set 1: | cost: 13.829 Data set 1: | cost: 19.061 Data set 1: | cost: 13.656 Data set 1: | cost: 15.336 Data set 1: | cost: 12.254 Data set 1: | cost: 18.519 Data set 1: | cost: 12.801 Data set 1: | cost: 13.478 Data set 1: | cost: 17.010 Data set 1: | cost: 13.004 Data set 1: | cost: 14.438 Data set 1: | cost: 12.879 Data set 1: | cost: 15.020 Data set 1: | cost: 15.092 Data set 1: | cost: 14.488 Data set 1: | cost: 16.629 Data set 1: | cost: 13.675 Data set 1: | cost: 13.966 Data set 1: | cost: 12.843 Data set 1: | cost: 14.846 Data set 1: | cost: 10.385 Data set 1: | cost: 15.559 Data set 1: | cost: 14.632 Data set 1: | cost: 15.239 Data set 1: | cost: 13.329 Data set 1: | cost: 13.578 Data set 1: | cost: 14.241 Data set 1: | cost: 11.675 Data set 1: | cost: 18.985 Data set 1: | cost: 12.152 Data set 1: | cost: 14.110 Data set 1: | cost: 11.493 Data set 1: | cost: 14.640 Data set 1: | cost: 11.547 Data set 1: | cost: 17.578 Data set 1: | cost: 12.465 Data set 1: | cost: 16.283 Data set 1: | cost: 13.124 Data set 1: | cost: 17.218 Data set 1: | cost: 17.482 Data set 1: | cost: 12.378 Data set 1: | cost: 14.123 Data set 1: | cost: 14.772 Data set 1: | cost: 16.288 Data set 1: | cost: 11.868 Data set 1: | cost: 12.579 Data set 1: | cost: 16.043 Data set 1: | cost: 11.842 Data set 1: | cost: 13.776 Data set 1: | cost: 16.184 Data set 1: | cost: 15.916 Data set 1: | cost: 16.430 Data set 1: | cost: 14.024 Data set 1: | cost: 11.913 Data set 1: | cost: 16.163 Data set 1: | cost: 15.455 Data set 1: | cost: 13.485 Data set 1: | cost: 12.902 Data set 1: | cost: 19.294 Data set 1: | cost: 14.807 Data set 1: | cost: 16.724 Data set 1: | cost: 11.898 Data set 1: | cost: 15.390 Data set 1: | cost: 13.661 Data set 1: | cost: 16.450 Data set 1: | cost: 12.402 Data set 1: | cost: 13.817 Data set 1: | cost: 12.765 Data set 1: | cost: 18.257 Data set 1: | cost: 14.115 Data set 1: | cost: 18.272 Data set 1: | cost: 12.187 Data set 1: | cost: 13.048 Data set 1: | cost: 16.032 Data set 1: | cost: 16.693 Data set 1: | cost: 14.107 Data set 1: | cost: 19.130 Data set 1: | cost: 14.985 Data set 1: | cost: 13.534 Data set 1: | cost: 17.069 Data set 1: | cost: 21.396 Data set 1: | cost: 11.907 Data set 1: | cost: 13.159 Data set 1: | cost: 13.288 Data set 1: | cost: 15.274 Data set 1: | cost: 18.923 Data set 1: | cost: 16.114 Data set 1: | cost: 13.681 Data set 1: | cost: 11.270 Data set 1: | cost: 12.665 Data set 1: | cost: 18.445 Data set 1: | cost: 14.705 Data set 1: | cost: 11.467 Data set 1: | cost: 11.618 Data set 1: | cost: 13.982 Data set 1: | cost: 14.788 Data set 1: | cost: 13.394 Data set 1: | cost: 11.075 Data set 1: | cost: 14.332 Data set 1: | cost: 14.293 Data set 1: | cost: 11.043 Data set 1: | cost: 11.783 Data set 1: | cost: 14.707 Data set 1: | cost: 15.472 Data set 1: | cost: 14.820 Data set 1: | cost: 14.613 Data set 1: | cost: 14.453 Data set 1: | cost: 17.060 Data set 1: | cost: 20.435 Data set 1: | cost: 12.997 Data set 1: | cost: 18.167 Data set 1: | cost: 14.589 Data set 1: | cost: 14.956 Data set 1: | cost: 13.870 Data set 1: | cost: 17.559 Data set 1: | cost: 12.631 Data set 1: | cost: 10.869 Data set 1: | cost: 14.968 Data set 1: | cost: 14.693 Data set 1: | cost: 14.574 Data set 1: | cost: 12.099 Data set 1: | cost: 17.162 Data set 1: | cost: 14.697 Data set 1: | cost: 15.200 Data set 1: | cost: 19.387 Data set 1: | cost: 15.443 Data set 1: | cost: 16.377 Data set 1: | cost: 15.527 Data set 1: | cost: 14.360 Data set 1: | cost: 14.744 Data set 1: | cost: 14.079 Data set 1: | cost: 10.788 Data set 1: | cost: 16.455 Data set 1: | cost: 18.312 Data set 1: | cost: 15.593 Data set 1: | cost: 14.982 Data set 1: | cost: 15.786 Data set 1: | cost: 13.884 Data set 1: | cost: 14.241 Data set 1: | cost: 11.240 Data set 1: | cost: 15.742 Data set 1: | cost: 12.817 Data set 1: | cost: 17.881 Data set 1: | cost: 12.159 Data set 1: | cost: 12.782 Data set 1: | cost: 20.899 Data set 1: | cost: 15.229 Data set 1: | cost: 17.045 Data set 1: | cost: 14.450 Data set 1: | cost: 14.712 Data set 1: | cost: 13.514 Data set 1: | cost: 14.393 Data set 1: | cost: 11.945 Data set 1: | cost: 18.093 Data set 1: | cost: 20.301 Data set 1: | cost: 12.642 Data set 1: | cost: 13.580 Data set 1: | cost: 16.162 Data set 1: | cost: 12.952 Data set 1: | cost: 12.775 Data set 1: | cost: 13.226 Data set 1: | cost: 13.114 Data set 1: | cost: 15.467 Data set 1: | cost: 12.685 Data set 1: | cost: 18.565 Data set 1: | cost: 15.799 Data set 1: | cost: 16.984 Data set 1: | cost: 11.322 Data set 1: | cost: 12.069 Data set 1: | cost: 11.522 Data set 1: | cost: 16.823 Data set 1: | cost: 14.384 Data set 1: | cost: 14.817 Data set 1: | cost: 14.375 Data set 1: | cost: 14.538 Data set 1: | cost: 16.250 Data set 1: | cost: 14.548 Data set 1: | cost: 15.163 Data set 1: | cost: 16.199 Data set 1: | cost: 15.312 Data set 1: | cost: 11.040 Data set 1: | cost: 14.175 Data set 1: | cost: 15.314 Data set 1: | cost: 12.967 Data set 1: | cost: 13.753 Data set 1: | cost: 14.465 Data set 1: | cost: 13.893 Data set 1: | cost: 15.288 Data set 1: | cost: 13.341 Data set 1: | cost: 14.126 Data set 1: | cost: 12.768 Data set 1: | cost: 14.733 Data set 1: | cost: 14.292 Data set 1: | cost: 16.588 Data set 1: | cost: 13.017 Data set 1: | cost: 13.431 Data set 1: | cost: 15.593 Data set 1: | cost: 18.518 Data set 1: | cost: 14.215 Data set 1: | cost: 13.906 Data set 1: | cost: 13.925 Data set 1: | cost: 16.609 Data set 1: | cost: 15.540 Data set 1: | cost: 14.547 Data set 1: | cost: 10.726 Data set 1: | cost: 20.197 Data set 1: | cost: 14.228 Data set 1: | cost: 16.883 Data set 1: | cost: 12.184 Data set 1: | cost: 14.944 Data set 1: | cost: 13.027 Data set 1: | cost: 21.525 Data set 1: | cost: 15.004 Data set 1: | cost: 15.169 Data set 1: | cost: 16.907 Data set 1: | cost: 12.777 Data set 1: | cost: 14.036 Data set 1: | cost: 15.910 Data set 1: | cost: 15.533 Data set 1: | cost: 12.526 Data set 1: | cost: 11.154 Data set 1: | cost: 14.022 Data set 1: | cost: 13.868 Data set 1: | cost: 18.167 Data set 1: | cost: 13.093 Data set 1: | cost: 16.261 Data set 1: | cost: 11.325 Data set 1: | cost: 11.828 Data set 1: | cost: 16.926 Data set 1: | cost: 15.833 Data set 1: | cost: 13.208 Data set 1: | cost: 11.496 Data set 1: | cost: 14.145 Data set 1: | cost: 9.769 Data set 1: | cost: 16.606 Data set 1: | cost: 14.256 Data set 1: | cost: 14.578 Data set 1: | cost: 18.330 Data set 1: | cost: 12.101 Data set 1: | cost: 17.913 Data set 1: | cost: 11.549 Data set 1: | cost: 12.012 Data set 1: | cost: 13.624 Data set 1: | cost: 13.936 Data set 1: | cost: 13.892 Data set 1: | cost: 12.121 Data set 1: | cost: 14.464 Data set 1: | cost: 15.229 Data set 1: | cost: 15.361 Data set 1: | cost: 12.534 Data set 1: | cost: 14.760 Data set 1: | cost: 12.286 Data set 1: | cost: 13.284 Data set 1: | cost: 13.031 Data set 1: | cost: 13.081 Data set 1: | cost: 13.229 Data set 1: | cost: 14.787 Data set 1: | cost: 13.768 Data set 1: | cost: 15.810 Data set 1: | cost: 11.528 Data set 1: | cost: 11.472 Data set 1: | cost: 16.192 Data set 1: | cost: 16.884 Data set 1: | cost: 11.287 Data set 1: | cost: 14.217 Data set 1: | cost: 12.281 Data set 1: | cost: 17.409 Data set 1: | cost: 15.293 Data set 1: | cost: 13.756 Data set 1: | cost: 16.152 Data set 1: | cost: 13.158 Data set 1: | cost: 15.701 Data set 1: | cost: 14.928 Data set 1: | cost: 17.706 Data set 1: | cost: 13.442 Data set 1: | cost: 20.931 Data set 1: | cost: 18.890 Data set 1: | cost: 13.747 Data set 1: | cost: 15.082 Data set 1: | cost: 17.723 Data set 1: | cost: 17.070 Data set 1: | cost: 14.431 Data set 1: | cost: 13.508 Data set 1: | cost: 13.698 Data set 1: | cost: 16.194 Data set 1: | cost: 14.923 Data set 1: | cost: 12.903 Data set 1: | cost: 17.760 Data set 1: | cost: 11.056 Data set 1: | cost: 13.906 Data set 1: | cost: 15.399 Data set 1: | cost: 13.534 Data set 1: | cost: 13.211 Data set 1: | cost: 15.300 Data set 1: | cost: 13.496 Data set 1: | cost: 14.043 Data set 1: | cost: 13.457 Data set 1: | cost: 19.074 DMC Parameters: amp:19.3 tau:37 drc:0.58 bnds:58 bndsRate:0.00 bndsSaturation:0 resMean:317 resSD:30 aaShape:1.8 spShape:3.4 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 399 80 1.70 390 54 0.0 incomp 422 68 8.50 348 41 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 302.5 315.0 327.4 336.8 344.2 352.7 358.0 366.2 372.0 381.9 389.3 399.0 410.3 426.0 438.2 453.2 479.4 507.3 555.1 incomp 329.9 347.2 358.2 367.9 376.3 384.7 391.9 400.0 405.7 413.9 421.1 429.1 440.3 448.7 456.2 468.6 481.6 500.4 543.0 mean 316.2 331.1 342.8 352.3 360.2 368.7 375.0 383.1 388.9 397.9 405.2 414.0 425.3 437.3 447.2 460.9 480.5 503.8 549.1 effect 27.5 32.2 30.7 31.1 32.0 32.0 33.9 33.8 33.7 32.1 31.8 30.1 30.0 22.7 18.0 15.4 2.3 -7.0 -12.1 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.975 0.990 1.000 0.960 0.990 incomp 0.720 0.905 0.965 0.990 0.995 Data set 1: | cost: 50.283 Data set 1: | cost: 53.458 Data set 1: | cost: 55.061 Data set 1: | cost: 46.974 Data set 1: | cost: 75.379 Data set 1: | cost: 69.956 Data set 1: | cost: 50.944 Data set 1: | cost: 56.474 Data set 1: | cost: 55.187 Data set 1: | cost: 41.240 Data set 1: | cost: 28.647 Data set 1: | cost: 44.996 Data set 1: | cost: 44.448 Data set 1: | cost: 43.400 Data set 1: | cost: 46.209 Data set 1: | cost: 43.900 Data set 1: | cost: 41.397 Data set 1: | cost: 39.470 Data set 1: | cost: 36.913 Data set 1: | cost: 37.958 Data set 1: | cost: 41.752 Data set 1: | cost: 29.950 Data set 1: | cost: 33.611 Data set 1: | cost: 31.702 Data set 1: | cost: 32.848 Data set 1: | cost: 29.263 Data set 1: | cost: 35.080 Data set 1: | cost: 23.417 Data set 1: | cost: 25.083 Data set 1: | cost: 33.801 Data set 1: | cost: 32.291 Data set 1: | cost: 32.490 Data set 1: | cost: 34.738 Data set 1: | cost: 26.142 Data set 1: | cost: 23.984 Data set 1: | cost: 36.019 Data set 1: | cost: 33.481 Data set 1: | cost: 29.572 Data set 1: | cost: 37.267 Data set 1: | cost: 37.386 Data set 1: | cost: 31.418 Data set 1: | cost: 29.420 Data set 1: | cost: 34.583 Data set 1: | cost: 29.777 Data set 1: | cost: 24.303 Data set 1: | cost: 34.232 Data set 1: | cost: 26.625 Data set 1: | cost: 23.235 Data set 1: | cost: 29.484 Data set 1: | cost: 25.970 Data set 1: | cost: 26.184 Data set 1: | cost: 29.185 Data set 1: | cost: 24.303 Data set 1: | cost: 19.030 Data set 1: | cost: 26.928 Data set 1: | cost: 25.160 Data set 1: | cost: 26.200 Data set 1: | cost: 23.992 Data set 1: | cost: 24.916 Data set 1: | cost: 25.101 Data set 1: | cost: 24.070 Data set 1: | cost: 22.278 Data set 1: | cost: 25.765 Data set 1: | cost: 28.136 Data set 1: | cost: 24.581 Data set 1: | cost: 27.026 Data set 1: | cost: 25.685 Data set 1: | cost: 22.153 Data set 1: | cost: 26.199 Data set 1: | cost: 20.958 Data set 1: | cost: 23.908 Data set 1: | cost: 20.551 Data set 1: | cost: 25.668 Data set 1: | cost: 24.968 Data set 1: | cost: 23.455 Data set 1: | cost: 21.016 Data set 1: | cost: 23.649 Data set 1: | cost: 22.574 Data set 1: | cost: 23.382 Data set 1: | cost: 26.278 Data set 1: | cost: 24.662 Data set 1: | cost: 30.877 Data set 1: | cost: 25.416 Data set 1: | cost: 20.224 Data set 1: | cost: 21.269 Data set 1: | cost: 20.584 Data set 1: | cost: 18.734 Data set 1: | cost: 24.868 Data set 1: | cost: 19.879 Data set 1: | cost: 25.906 Data set 1: | cost: 26.188 Data set 1: | cost: 22.344 Data set 1: | cost: 21.176 Data set 1: | cost: 24.288 Data set 1: | cost: 25.363 Data set 1: | cost: 24.252 Data set 1: | cost: 24.347 Data set 1: | cost: 23.396 Data set 1: | cost: 24.669 Data set 1: | cost: 22.114 Data set 1: | cost: 23.729 Data set 1: | cost: 23.257 Data set 1: | cost: 25.055 Data set 1: | cost: 23.957 Data set 1: | cost: 16.482 Data set 1: | cost: 21.408 Data set 1: | cost: 22.114 Data set 1: | cost: 20.676 Data set 1: | cost: 24.735 Data set 1: | cost: 18.903 Data set 1: | cost: 22.145 Data set 1: | cost: 24.856 Data set 1: | cost: 26.789 Data set 1: | cost: 29.960 Data set 1: | cost: 26.635 Data set 1: | cost: 25.782 Data set 1: | cost: 21.868 Data set 1: | cost: 22.272 Data set 1: | cost: 21.497 Data set 1: | cost: 25.627 Data set 1: | cost: 27.069 Data set 1: | cost: 21.648 Data set 1: | cost: 27.728 Data set 1: | cost: 23.533 Data set 1: | cost: 20.700 Data set 1: | cost: 16.990 Data set 1: | cost: 24.030 Data set 1: | cost: 21.394 Data set 1: | cost: 22.450 Data set 1: | cost: 21.606 Data set 1: | cost: 28.446 Data set 1: | cost: 22.830 Data set 1: | cost: 23.795 Data set 1: | cost: 21.537 Data set 1: | cost: 21.717 Data set 1: | cost: 21.294 Data set 1: | cost: 22.404 Data set 1: | cost: 23.689 Data set 1: | cost: 26.526 Data set 1: | cost: 20.625 Data set 1: | cost: 22.830 Data set 1: | cost: 20.703 Data set 1: | cost: 20.648 Data set 1: | cost: 23.739 Data set 1: | cost: 24.444 Data set 1: | cost: 21.161 Data set 1: | cost: 29.142 Data set 1: | cost: 21.118 Data set 1: | cost: 21.241 Data set 1: | cost: 23.863 Data set 1: | cost: 26.605 Data set 1: | cost: 24.096 Data set 1: | cost: 17.936 Data set 1: | cost: 19.576 Data set 1: | cost: 23.698 Data set 1: | cost: 23.273 Data set 1: | cost: 25.686 Data set 1: | cost: 23.012 Data set 1: | cost: 19.268 Data set 1: | cost: 24.303 Data set 1: | cost: 23.154 Data set 1: | cost: 25.344 Data set 1: | cost: 23.589 Data set 1: | cost: 27.610 Data set 1: | cost: 28.298 Data set 1: | cost: 21.324 Data set 1: | cost: 28.684 Data set 1: | cost: 24.794 Data set 1: | cost: 16.768 Data set 1: | cost: 25.244 Data set 1: | cost: 19.979 Data set 1: | cost: 24.214 Data set 1: | cost: 21.890 Data set 1: | cost: 21.082 Data set 1: | cost: 22.320 Data set 1: | cost: 20.586 Data set 1: | cost: 21.195 Data set 1: | cost: 24.828 Data set 1: | cost: 25.440 Data set 1: | cost: 24.683 Data set 1: | cost: 21.824 Data set 1: | cost: 24.361 Data set 1: | cost: 21.998 Data set 1: | cost: 27.537 Data set 1: | cost: 26.234 Data set 1: | cost: 23.607 Data set 1: | cost: 23.478 Data set 1: | cost: 21.274 Data set 1: | cost: 22.388 Data set 1: | cost: 20.545 Data set 1: | cost: 27.589 Data set 1: | cost: 22.388 Data set 1: | cost: 18.295 Data set 1: | cost: 27.088 Data set 1: | cost: 23.133 Data set 1: | cost: 32.482 Data set 1: | cost: 26.725 Data set 1: | cost: 26.062 Data set 1: | cost: 22.905 Data set 1: | cost: 22.959 Data set 1: | cost: 18.366 Data set 1: | cost: 20.502 Data set 1: | cost: 20.822 Data set 1: | cost: 21.728 Data set 1: | cost: 29.057 Data set 1: | cost: 19.991 Data set 1: | cost: 26.738 Data set 1: | cost: 27.410 Data set 1: | cost: 21.600 Data set 1: | cost: 24.490 Data set 1: | cost: 21.449 Data set 1: | cost: 19.551 Data set 1: | cost: 20.815 Data set 1: | cost: 22.732 Data set 1: | cost: 20.541 Data set 1: | cost: 25.168 Data set 1: | cost: 22.571 Data set 1: | cost: 28.993 Data set 1: | cost: 23.875 Data set 1: | cost: 22.634 Data set 1: | cost: 24.937 Data set 1: | cost: 23.291 Data set 1: | cost: 30.125 Data set 1: | cost: 21.696 Data set 1: | cost: 20.819 Data set 1: | cost: 20.360 Data set 1: | cost: 26.035 Data set 1: | cost: 30.811 Data set 1: | cost: 28.597 Data set 1: | cost: 25.669 Data set 1: | cost: 27.655 Data set 1: | cost: 20.396 Data set 1: | cost: 22.106 Data set 1: | cost: 23.046 Data set 1: | cost: 24.389 Data set 1: | cost: 21.648 Data set 1: | cost: 25.129 Data set 1: | cost: 29.461 Data set 1: | cost: 24.190 Data set 1: | cost: 21.863 Data set 1: | cost: 21.217 Data set 1: | cost: 20.342 Data set 1: | cost: 21.955 Data set 1: | cost: 20.900 Data set 1: | cost: 22.841 Data set 1: | cost: 21.047 Data set 1: | cost: 21.608 Data set 1: | cost: 21.066 Data set 1: | cost: 24.954 Data set 1: | cost: 21.468 Data set 1: | cost: 21.007 Data set 1: | cost: 20.592 Data set 1: | cost: 21.898 Data set 1: | cost: 22.052 Data set 1: | cost: 29.669 Data set 1: | cost: 23.235 Data set 1: | cost: 20.019 Data set 1: | cost: 22.604 Data set 1: | cost: 25.852 Data set 1: | cost: 27.114 Data set 1: | cost: 21.074 Data set 1: | cost: 30.864 Data set 1: | cost: 27.116 Data set 1: | cost: 18.906 Data set 1: | cost: 30.352 Data set 1: | cost: 21.502 Data set 1: | cost: 23.457 Data set 1: | cost: 24.708 Data set 1: | cost: 24.794 Data set 1: | cost: 23.228 Data set 1: | cost: 19.219 Data set 1: | cost: 20.505 Data set 1: | cost: 23.017 Data set 1: | cost: 22.914 Data set 1: | cost: 23.240 Data set 1: | cost: 25.085 Data set 1: | cost: 26.882 Data set 1: | cost: 20.166 Data set 1: | cost: 20.895 Data set 1: | cost: 19.092 Data set 1: | cost: 22.415 Data set 1: | cost: 20.928 Data set 1: | cost: 23.808 Data set 1: | cost: 25.567 Data set 1: | cost: 26.671 Data set 1: | cost: 21.155 Data set 1: | cost: 28.052 Data set 1: | cost: 27.035 Data set 1: | cost: 23.498 Data set 1: | cost: 21.791 Data set 1: | cost: 19.482 Data set 1: | cost: 23.297 Data set 1: | cost: 29.742 Data set 1: | cost: 20.418 Data set 1: | cost: 22.806 Data set 1: | cost: 23.614 Data set 1: | cost: 26.422 Data set 1: | cost: 26.749 Data set 1: | cost: 21.052 Data set 1: | cost: 19.873 Data set 1: | cost: 25.291 Data set 1: | cost: 21.574 Data set 1: | cost: 27.660 Data set 1: | cost: 26.244 Data set 1: | cost: 19.401 Data set 1: | cost: 24.353 Data set 1: | cost: 20.013 Data set 1: | cost: 19.888 Data set 1: | cost: 21.671 Data set 1: | cost: 23.723 Data set 1: | cost: 23.931 Data set 1: | cost: 22.280 Data set 1: | cost: 19.741 Data set 1: | cost: 26.069 Data set 1: | cost: 23.054 Data set 1: | cost: 20.696 Data set 1: | cost: 18.582 Data set 1: | cost: 23.624 Data set 1: | cost: 21.119 Data set 1: | cost: 22.996 Data set 1: | cost: 24.324 Data set 1: | cost: 23.839 Data set 1: | cost: 24.266 Data set 1: | cost: 28.858 Data set 1: | cost: 26.134 Data set 1: | cost: 27.084 Data set 1: | cost: 22.688 Data set 1: | cost: 24.138 Data set 1: | cost: 23.337 Data set 1: | cost: 21.734 Data set 1: | cost: 25.092 Data set 1: | cost: 25.395 Data set 1: | cost: 23.521 Data set 1: | cost: 24.490 Data set 1: | cost: 28.751 Data set 1: | cost: 27.664 Data set 1: | cost: 22.947 Data set 1: | cost: 22.294 Data set 1: | cost: 24.746 Data set 1: | cost: 27.227 Data set 1: | cost: 27.366 Data set 1: | cost: 19.304 Data set 1: | cost: 21.704 Data set 1: | cost: 19.175 Data set 1: | cost: 26.940 Data set 1: | cost: 27.557 Data set 1: | cost: 25.731 Data set 1: | cost: 21.722 Data set 1: | cost: 24.528 Data set 1: | cost: 20.623 Data set 1: | cost: 24.712 Data set 1: | cost: 22.966 Data set 1: | cost: 20.737 Data set 1: | cost: 19.965 Data set 1: | cost: 24.100 Data set 1: | cost: 18.393 Data set 1: | cost: 23.883 Data set 1: | cost: 25.143 Data set 1: | cost: 22.904 Data set 1: | cost: 25.182 Data set 1: | cost: 23.467 Data set 1: | cost: 25.016 Data set 1: | cost: 20.163 Data set 1: | cost: 18.955 Data set 1: | cost: 21.288 Data set 1: | cost: 21.215 Data set 1: | cost: 22.259 Data set 1: | cost: 27.466 Data set 1: | cost: 24.593 Data set 1: | cost: 23.515 Data set 1: | cost: 23.614 Data set 1: | cost: 24.626 Data set 1: | cost: 25.163 Data set 1: | cost: 23.267 Data set 1: | cost: 19.261 Data set 1: | cost: 27.144 Data set 1: | cost: 26.315 Data set 1: | cost: 23.494 Data set 1: | cost: 24.881 Data set 1: | cost: 23.380 Data set 1: | cost: 23.867 Data set 1: | cost: 17.968 Data set 1: | cost: 26.687 Data set 1: | cost: 18.442 Data set 1: | cost: 19.606 Data set 1: | cost: 19.915 Data set 1: | cost: 18.466 Data set 1: | cost: 20.400 Data set 1: | cost: 23.376 Data set 1: | cost: 25.708 Data set 1: | cost: 23.495 Data set 1: | cost: 25.519 Data set 1: | cost: 26.470 Data set 1: | cost: 31.103 Data set 1: | cost: 28.878 Data set 1: | cost: 25.349 Data set 1: | cost: 22.537 Data set 1: | cost: 20.484 Data set 1: | cost: 22.919 Data set 1: | cost: 25.905 Data set 1: | cost: 25.047 Data set 1: | cost: 20.816 Data set 1: | cost: 22.771 Data set 1: | cost: 23.072 Data set 1: | cost: 22.335 Data set 1: | cost: 20.986 Data set 1: | cost: 23.174 Data set 1: | cost: 21.975 Data set 1: | cost: 23.884 Data set 1: | cost: 27.327 Data set 1: | cost: 28.821 Data set 1: | cost: 25.709 Data set 1: | cost: 23.434 Data set 1: | cost: 25.522 Data set 1: | cost: 26.080 Data set 1: | cost: 22.750 Data set 1: | cost: 23.006 Data set 1: | cost: 20.997 Data set 1: | cost: 24.155 Data set 1: | cost: 24.600 Data set 1: | cost: 20.901 Data set 1: | cost: 21.888 Data set 1: | cost: 24.168 Data set 1: | cost: 26.938 Data set 1: | cost: 25.168 Data set 1: | cost: 30.944 Data set 1: | cost: 28.041 Data set 1: | cost: 24.314 Data set 1: | cost: 24.258 Data set 1: | cost: 23.193 Data set 1: | cost: 22.899 Data set 1: | cost: 18.648 Data set 1: | cost: 25.368 Data set 1: | cost: 28.165 Data set 1: | cost: 24.283 Data set 1: | cost: 27.080 Data set 1: | cost: 24.383 Data set 1: | cost: 21.701 Data set 1: | cost: 18.933 Data set 1: | cost: 29.722 Data set 1: | cost: 23.761 Data set 1: | cost: 26.857 Data set 1: | cost: 25.373 Data set 1: | cost: 24.180 Data set 1: | cost: 22.485 Data set 1: | cost: 26.841 Data set 1: | cost: 34.118 Data set 1: | cost: 20.833 Data set 1: | cost: 24.748 Data set 1: | cost: 22.452 Data set 1: | cost: 23.935 Data set 1: | cost: 23.542 Data set 1: | cost: 23.274 Data set 1: | cost: 22.361 Data set 1: | cost: 23.469 Data set 1: | cost: 26.208 Data set 1: | cost: 23.336 Data set 1: | cost: 19.688 Data set 1: | cost: 27.861 Data set 1: | cost: 26.663 Data set 1: | cost: 21.521 Data set 1: | cost: 22.401 Data set 1: | cost: 21.552 Data set 1: | cost: 24.971 Data set 1: | cost: 21.123 Data set 1: | cost: 24.746 Data set 1: | cost: 22.300 Data set 1: | cost: 19.931 Data set 1: | cost: 22.972 Data set 1: | cost: 24.303 Data set 1: | cost: 20.424 Data set 1: | cost: 19.558 Data set 1: | cost: 29.429 Data set 1: | cost: 22.068 Data set 1: | cost: 21.493 Data set 1: | cost: 26.601 Data set 1: | cost: 25.839 Data set 1: | cost: 24.571 Data set 1: | cost: 26.477 Data set 1: | cost: 22.479 Data set 1: | cost: 22.028 Data set 1: | cost: 22.329 Data set 1: | cost: 23.117 Data set 1: | cost: 23.325 Data set 1: | cost: 22.989 Data set 1: | cost: 20.004 Data set 1: | cost: 27.996 Data set 1: | cost: 26.226 Data set 1: | cost: 23.595 Data set 1: | cost: 23.251 Data set 1: | cost: 27.904 Data set 1: | cost: 23.497 Data set 1: | cost: 28.310 Data set 1: | cost: 23.199 Data set 1: | cost: 25.271 Data set 1: | cost: 23.781 Data set 1: | cost: 22.920 Data set 1: | cost: 19.672 Data set 1: | cost: 24.786 Data set 1: | cost: 27.186 Data set 1: | cost: 25.724 Data set 1: | cost: 22.804 Data set 1: | cost: 25.677 DMC Parameters: amp:21.0 tau:75 drc:0.54 bnds:57 bndsRate:0.00 bndsSaturation:0 resMean:322 resSD:31 aaShape:2.0 spShape:3.1 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 394 71 1.00 392 58 0.0 incomp 444 78 12.10 361 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 307.5 324.5 333.9 341.4 349.1 354.0 360.9 367.0 373.7 382.2 388.9 393.8 403.5 411.3 420.3 434.7 449.9 482.4 532.4 incomp 337.2 354.9 366.2 378.8 391.0 398.9 407.4 419.6 431.6 439.1 446.9 453.7 463.5 474.9 485.5 501.9 517.8 542.0 576.2 mean 322.4 339.7 350.0 360.1 370.0 376.5 384.2 393.3 402.7 410.6 417.9 423.8 433.5 443.1 452.9 468.3 483.9 512.2 554.3 effect 29.7 30.4 32.4 37.4 42.0 45.0 46.5 52.6 57.9 56.9 58.0 59.9 60.0 63.6 65.2 67.2 67.9 59.5 43.8 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.995 0.990 0.975 1.000 0.990 incomp 0.665 0.805 0.945 0.985 0.995 Data set 1: | cost: 95.099 Data set 1: | cost: 90.182 Data set 1: | cost: 90.072 Data set 1: | cost: 111.523 Data set 1: | cost: 79.975 Data set 1: | cost: 67.724 Data set 1: | cost: 91.834 Data set 1: | cost: 96.473 Data set 1: | cost: 97.895 Data set 1: | cost: 60.887 Data set 1: | cost: 42.336 Data set 1: | cost: 65.857 Data set 1: | cost: 69.984 Data set 1: | cost: 65.210 Data set 1: | cost: 69.315 Data set 1: | cost: 54.150 Data set 1: | cost: 63.663 Data set 1: | cost: 40.858 Data set 1: | cost: 44.709 Data set 1: | cost: 41.361 Data set 1: | cost: 48.789 Data set 1: | cost: 44.098 Data set 1: | cost: 42.129 Data set 1: | cost: 53.122 Data set 1: | cost: 48.233 Data set 1: | cost: 37.563 Data set 1: | cost: 76.582 Data set 1: | cost: 52.293 Data set 1: | cost: 41.845 Data set 1: | cost: 45.999 Data set 1: | cost: 38.501 Data set 1: | cost: 50.394 Data set 1: | cost: 39.478 Data set 1: | cost: 37.861 Data set 1: | cost: 37.195 Data set 1: | cost: 41.603 Data set 1: | cost: 40.478 Data set 1: | cost: 36.804 Data set 1: | cost: 50.847 Data set 1: | cost: 35.015 Data set 1: | cost: 32.027 Data set 1: | cost: 38.422 Data set 1: | cost: 35.023 Data set 1: | cost: 56.202 Data set 1: | cost: 51.002 Data set 1: | cost: 37.801 Data set 1: | cost: 37.234 Data set 1: | cost: 39.325 Data set 1: | cost: 37.374 Data set 1: | cost: 34.848 Data set 1: | cost: 31.378 Data set 1: | cost: 41.644 Data set 1: | cost: 34.409 Data set 1: | cost: 36.150 Data set 1: | cost: 32.724 Data set 1: | cost: 36.983 Data set 1: | cost: 36.672 Data set 1: | cost: 31.026 Data set 1: | cost: 32.309 Data set 1: | cost: 31.637 Data set 1: | cost: 30.503 Data set 1: | cost: 36.486 Data set 1: | cost: 33.753 Data set 1: | cost: 36.798 Data set 1: | cost: 32.943 Data set 1: | cost: 30.075 Data set 1: | cost: 28.860 Data set 1: | cost: 30.438 Data set 1: | cost: 31.690 Data set 1: | cost: 31.744 Data set 1: | cost: 31.088 Data set 1: | cost: 35.936 Data set 1: | cost: 38.161 Data set 1: | cost: 29.522 Data set 1: | cost: 36.905 Data set 1: | cost: 32.296 Data set 1: | cost: 33.054 Data set 1: | cost: 36.289 Data set 1: | cost: 35.651 Data set 1: | cost: 36.479 Data set 1: | cost: 28.924 Data set 1: | cost: 30.986 Data set 1: | cost: 32.142 Data set 1: | cost: 33.641 Data set 1: | cost: 36.016 Data set 1: | cost: 28.276 Data set 1: | cost: 36.736 Data set 1: | cost: 27.492 Data set 1: | cost: 34.980 Data set 1: | cost: 35.492 Data set 1: | cost: 36.889 Data set 1: | cost: 37.096 Data set 1: | cost: 27.594 Data set 1: | cost: 33.119 Data set 1: | cost: 30.307 Data set 1: | cost: 34.496 Data set 1: | cost: 34.984 Data set 1: | cost: 32.918 Data set 1: | cost: 34.445 Data set 1: | cost: 37.641 Data set 1: | cost: 26.459 Data set 1: | cost: 32.594 Data set 1: | cost: 30.102 Data set 1: | cost: 34.240 Data set 1: | cost: 37.295 Data set 1: | cost: 29.969 Data set 1: | cost: 35.036 Data set 1: | cost: 31.488 Data set 1: | cost: 36.636 Data set 1: | cost: 29.748 Data set 1: | cost: 31.256 Data set 1: | cost: 30.293 Data set 1: | cost: 32.639 Data set 1: | cost: 38.709 Data set 1: | cost: 33.566 Data set 1: | cost: 34.481 Data set 1: | cost: 37.276 Data set 1: | cost: 32.879 Data set 1: | cost: 34.725 Data set 1: | cost: 32.999 Data set 1: | cost: 34.845 Data set 1: | cost: 35.747 Data set 1: | cost: 36.480 Data set 1: | cost: 38.638 Data set 1: | cost: 32.853 Data set 1: | cost: 32.286 Data set 1: | cost: 34.129 Data set 1: | cost: 35.055 Data set 1: | cost: 36.523 Data set 1: | cost: 34.317 Data set 1: | cost: 35.373 Data set 1: | cost: 36.371 Data set 1: | cost: 40.022 Data set 1: | cost: 29.223 Data set 1: | cost: 37.198 Data set 1: | cost: 33.673 Data set 1: | cost: 32.829 Data set 1: | cost: 33.016 Data set 1: | cost: 31.694 Data set 1: | cost: 29.661 Data set 1: | cost: 41.380 Data set 1: | cost: 33.639 Data set 1: | cost: 36.181 Data set 1: | cost: 28.358 Data set 1: | cost: 32.841 Data set 1: | cost: 30.738 Data set 1: | cost: 35.227 Data set 1: | cost: 33.781 Data set 1: | cost: 31.471 Data set 1: | cost: 33.285 Data set 1: | cost: 37.152 Data set 1: | cost: 37.188 Data set 1: | cost: 42.484 Data set 1: | cost: 32.132 Data set 1: | cost: 37.364 Data set 1: | cost: 32.741 Data set 1: | cost: 34.748 Data set 1: | cost: 30.845 Data set 1: | cost: 27.136 Data set 1: | cost: 33.777 Data set 1: | cost: 33.237 Data set 1: | cost: 43.574 Data set 1: | cost: 25.646 Data set 1: | cost: 37.521 Data set 1: | cost: 35.831 Data set 1: | cost: 35.504 Data set 1: | cost: 32.652 Data set 1: | cost: 31.575 Data set 1: | cost: 30.921 Data set 1: | cost: 36.351 Data set 1: | cost: 37.086 Data set 1: | cost: 30.729 Data set 1: | cost: 31.823 Data set 1: | cost: 33.827 Data set 1: | cost: 39.445 Data set 1: | cost: 32.589 Data set 1: | cost: 34.199 Data set 1: | cost: 28.181 Data set 1: | cost: 32.912 Data set 1: | cost: 33.333 Data set 1: | cost: 33.702 Data set 1: | cost: 35.066 Data set 1: | cost: 31.937 Data set 1: | cost: 36.407 Data set 1: | cost: 28.741 Data set 1: | cost: 33.581 Data set 1: | cost: 32.741 Data set 1: | cost: 33.439 Data set 1: | cost: 35.214 Data set 1: | cost: 38.397 Data set 1: | cost: 38.433 Data set 1: | cost: 35.481 Data set 1: | cost: 38.041 Data set 1: | cost: 32.825 Data set 1: | cost: 37.655 Data set 1: | cost: 30.942 Data set 1: | cost: 34.831 Data set 1: | cost: 29.013 Data set 1: | cost: 39.578 Data set 1: | cost: 38.778 Data set 1: | cost: 36.019 Data set 1: | cost: 35.573 Data set 1: | cost: 32.189 Data set 1: | cost: 34.152 Data set 1: | cost: 31.405 Data set 1: | cost: 33.355 Data set 1: | cost: 34.481 Data set 1: | cost: 29.769 Data set 1: | cost: 31.327 Data set 1: | cost: 29.026 Data set 1: | cost: 35.927 Data set 1: | cost: 38.497 Data set 1: | cost: 34.359 Data set 1: | cost: 37.596 Data set 1: | cost: 35.912 Data set 1: | cost: 33.837 Data set 1: | cost: 31.144 Data set 1: | cost: 38.072 Data set 1: | cost: 34.110 Data set 1: | cost: 31.693 Data set 1: | cost: 31.062 Data set 1: | cost: 30.680 Data set 1: | cost: 36.652 Data set 1: | cost: 28.474 Data set 1: | cost: 36.335 Data set 1: | cost: 33.978 Data set 1: | cost: 31.998 Data set 1: | cost: 35.353 Data set 1: | cost: 31.958 Data set 1: | cost: 28.841 Data set 1: | cost: 35.907 Data set 1: | cost: 30.539 Data set 1: | cost: 29.084 Data set 1: | cost: 37.413 Data set 1: | cost: 36.499 Data set 1: | cost: 34.880 Data set 1: | cost: 31.136 Data set 1: | cost: 31.994 Data set 1: | cost: 32.470 Data set 1: | cost: 33.736 Data set 1: | cost: 32.281 Data set 1: | cost: 37.390 Data set 1: | cost: 28.603 Data set 1: | cost: 31.022 Data set 1: | cost: 33.934 Data set 1: | cost: 33.864 Data set 1: | cost: 33.299 Data set 1: | cost: 36.370 Data set 1: | cost: 34.586 Data set 1: | cost: 34.983 Data set 1: | cost: 33.362 Data set 1: | cost: 35.904 Data set 1: | cost: 41.841 Data set 1: | cost: 32.259 Data set 1: | cost: 32.206 Data set 1: | cost: 37.057 Data set 1: | cost: 30.681 Data set 1: | cost: 39.500 Data set 1: | cost: 30.139 Data set 1: | cost: 36.016 Data set 1: | cost: 34.305 Data set 1: | cost: 38.734 Data set 1: | cost: 31.107 Data set 1: | cost: 30.564 Data set 1: | cost: 31.937 Data set 1: | cost: 35.179 Data set 1: | cost: 33.514 Data set 1: | cost: 34.901 Data set 1: | cost: 32.441 Data set 1: | cost: 38.712 Data set 1: | cost: 34.237 Data set 1: | cost: 33.521 Data set 1: | cost: 33.683 Data set 1: | cost: 32.835 Data set 1: | cost: 34.366 Data set 1: | cost: 38.327 Data set 1: | cost: 38.647 Data set 1: | cost: 30.359 Data set 1: | cost: 33.984 Data set 1: | cost: 31.579 Data set 1: | cost: 30.197 Data set 1: | cost: 34.016 Data set 1: | cost: 30.217 Data set 1: | cost: 36.295 Data set 1: | cost: 32.725 Data set 1: | cost: 33.924 Data set 1: | cost: 30.414 Data set 1: | cost: 34.528 Data set 1: | cost: 32.887 Data set 1: | cost: 29.798 Data set 1: | cost: 28.611 Data set 1: | cost: 32.741 Data set 1: | cost: 35.191 Data set 1: | cost: 31.027 Data set 1: | cost: 27.622 Data set 1: | cost: 29.012 Data set 1: | cost: 31.415 Data set 1: | cost: 38.422 Data set 1: | cost: 30.889 Data set 1: | cost: 32.455 Data set 1: | cost: 37.502 Data set 1: | cost: 30.839 Data set 1: | cost: 34.880 Data set 1: | cost: 31.538 Data set 1: | cost: 36.951 Data set 1: | cost: 40.044 Data set 1: | cost: 37.618 Data set 1: | cost: 35.580 Data set 1: | cost: 37.074 Data set 1: | cost: 35.621 Data set 1: | cost: 37.019 Data set 1: | cost: 30.416 Data set 1: | cost: 30.684 Data set 1: | cost: 32.651 Data set 1: | cost: 33.727 Data set 1: | cost: 33.822 Data set 1: | cost: 35.497 Data set 1: | cost: 33.619 Data set 1: | cost: 32.506 Data set 1: | cost: 31.264 Data set 1: | cost: 27.489 Data set 1: | cost: 31.854 Data set 1: | cost: 34.540 Data set 1: | cost: 32.621 Data set 1: | cost: 33.773 Data set 1: | cost: 33.189 Data set 1: | cost: 34.365 Data set 1: | cost: 35.425 Data set 1: | cost: 39.300 Data set 1: | cost: 37.862 Data set 1: | cost: 33.083 Data set 1: | cost: 34.291 Data set 1: | cost: 38.367 Data set 1: | cost: 32.536 Data set 1: | cost: 36.884 Data set 1: | cost: 35.094 Data set 1: | cost: 34.869 Data set 1: | cost: 32.756 Data set 1: | cost: 31.131 Data set 1: | cost: 33.878 Data set 1: | cost: 29.616 Data set 1: | cost: 36.073 Data set 1: | cost: 35.325 Data set 1: | cost: 38.221 Data set 1: | cost: 35.919 Data set 1: | cost: 35.088 Data set 1: | cost: 30.467 Data set 1: | cost: 32.911 Data set 1: | cost: 32.067 Data set 1: | cost: 39.964 Data set 1: | cost: 33.308 Data set 1: | cost: 33.099 Data set 1: | cost: 37.763 Data set 1: | cost: 32.989 Data set 1: | cost: 26.064 Data set 1: | cost: 29.644 Data set 1: | cost: 33.078 Data set 1: | cost: 34.856 Data set 1: | cost: 32.087 Data set 1: | cost: 33.396 Data set 1: | cost: 30.306 Data set 1: | cost: 34.379 Data set 1: | cost: 32.862 Data set 1: | cost: 27.285 Data set 1: | cost: 31.184 Data set 1: | cost: 35.152 Data set 1: | cost: 32.270 Data set 1: | cost: 29.001 Data set 1: | cost: 32.364 Data set 1: | cost: 27.330 Data set 1: | cost: 39.114 Data set 1: | cost: 36.531 Data set 1: | cost: 35.139 Data set 1: | cost: 35.275 Data set 1: | cost: 31.285 Data set 1: | cost: 32.042 Data set 1: | cost: 32.830 Data set 1: | cost: 32.996 Data set 1: | cost: 33.129 Data set 1: | cost: 32.249 Data set 1: | cost: 30.323 Data set 1: | cost: 35.149 Data set 1: | cost: 31.232 Data set 1: | cost: 33.977 Data set 1: | cost: 29.367 Data set 1: | cost: 33.999 Data set 1: | cost: 33.717 Data set 1: | cost: 35.595 Data set 1: | cost: 30.646 Data set 1: | cost: 32.021 Data set 1: | cost: 33.201 Data set 1: | cost: 35.196 Data set 1: | cost: 32.854 Data set 1: | cost: 32.398 Data set 1: | cost: 30.639 Data set 1: | cost: 31.075 Data set 1: | cost: 33.501 Data set 1: | cost: 36.136 Data set 1: | cost: 35.553 Data set 1: | cost: 29.620 Data set 1: | cost: 32.325 Data set 1: | cost: 34.020 Data set 1: | cost: 34.090 Data set 1: | cost: 32.901 Data set 1: | cost: 33.334 Data set 1: | cost: 31.476 Data set 1: | cost: 36.850 Data set 1: | cost: 35.499 Data set 1: | cost: 34.736 Data set 1: | cost: 28.666 Data set 1: | cost: 31.737 Data set 1: | cost: 29.703 Data set 1: | cost: 33.960 Data set 1: | cost: 39.397 Data set 1: | cost: 36.117 Data set 1: | cost: 35.472 Data set 1: | cost: 33.667 Data set 1: | cost: 38.658 Data set 1: | cost: 27.513 Data set 1: | cost: 30.577 Data set 1: | cost: 31.247 Data set 1: | cost: 38.521 Data set 1: | cost: 32.988 Data set 1: | cost: 31.655 Data set 1: | cost: 30.453 Data set 1: | cost: 33.793 Data set 1: | cost: 34.741 Data set 1: | cost: 32.586 Data set 1: | cost: 33.816 Data set 1: | cost: 36.636 Data set 1: | cost: 34.985 Data set 1: | cost: 31.168 Data set 1: | cost: 30.019 Data set 1: | cost: 33.523 Data set 1: | cost: 30.507 Data set 1: | cost: 35.144 Data set 1: | cost: 34.802 Data set 1: | cost: 32.590 Data set 1: | cost: 30.519 Data set 1: | cost: 38.789 Data set 1: | cost: 34.607 Data set 1: | cost: 39.321 Data set 1: | cost: 38.234 Data set 1: | cost: 30.406 Data set 1: | cost: 39.643 Data set 1: | cost: 32.541 Data set 1: | cost: 35.101 Data set 1: | cost: 30.322 Data set 1: | cost: 32.183 Data set 1: | cost: 31.919 Data set 1: | cost: 40.466 Data set 1: | cost: 33.800 Data set 1: | cost: 35.191 Data set 1: | cost: 36.052 Data set 1: | cost: 36.418 Data set 1: | cost: 34.591 Data set 1: | cost: 32.950 Data set 1: | cost: 32.440 Data set 1: | cost: 34.306 Data set 1: | cost: 30.008 Data set 1: | cost: 35.058 Data set 1: | cost: 33.002 Data set 1: | cost: 33.861 Data set 1: | cost: 31.197 Data set 1: | cost: 28.444 Data set 1: | cost: 27.088 Data set 1: | cost: 31.398 Data set 1: | cost: 29.971 Data set 1: | cost: 40.139 Data set 1: | cost: 34.534 Data set 1: | cost: 31.875 Data set 1: | cost: 33.451 Data set 1: | cost: 30.301 Data set 1: | cost: 37.367 Data set 1: | cost: 31.408 Data set 1: | cost: 37.559 Data set 1: | cost: 33.130 Data set 1: | cost: 33.732 Data set 1: | cost: 32.672 Data set 1: | cost: 31.820 Data set 1: | cost: 30.625 Data set 1: | cost: 38.923 Data set 1: | cost: 36.358 Data set 1: | cost: 34.727 Data set 1: | cost: 31.749 Data set 1: | cost: 30.653 Data set 1: | cost: 34.933 Data set 1: | cost: 29.530 Data set 1: | cost: 37.117 Data set 1: | cost: 36.184 Data set 1: | cost: 33.607 Data set 1: | cost: 33.441 Data set 1: | cost: 31.257 Data set 1: | cost: 32.798 Data set 1: | cost: 32.059 Data set 1: | cost: 35.019 Data set 1: | cost: 32.097 Data set 1: | cost: 35.639 Data set 1: | cost: 35.722 Data set 1: | cost: 31.986 Data set 1: | cost: 30.527 Data set 1: | cost: 32.858 Data set 1: | cost: 34.920 Data set 1: | cost: 35.794 Data set 1: | cost: 30.396 Data set 1: | cost: 27.122 Data set 1: | cost: 33.195 Data set 1: | cost: 33.033 Data set 1: | cost: 35.024 DMC Parameters: amp:20.9 tau:300 drc:0.36 bnds:88 bndsRate:0.00 bndsSaturation:0 resMean:317 resSD:30 aaShape:2.2 spShape:2.5 spBias:0.0 sigm:4.0 Results Summary: rtCor sdRtCor perErr rtErr sdRtErr perSlow comp 510 151 3.30 408 126 0.0 incomp 566 173 7.80 453 135 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 340.5 363.8 376.4 393.6 410.1 420.9 432.5 446.1 459.4 473.1 488.2 506.8 524.2 543.7 566.1 604.7 637.1 706.3 806.5 incomp 343.3 370.3 393.4 415.5 430.8 454.5 481.4 498.1 512.3 530.0 556.3 577.4 602.4 633.0 657.4 706.6 748.1 808.9 898.2 mean 341.9 367.1 384.9 404.6 420.4 437.7 456.9 472.1 485.8 501.6 522.2 542.1 563.3 588.4 611.8 655.6 692.6 757.6 852.4 effect 2.8 6.5 17.0 21.9 20.8 33.6 48.9 52.0 52.9 56.9 68.1 70.5 78.1 89.2 91.4 101.9 110.9 102.6 91.7 CAF Values: 0-20% 20-40% 40-60% 60-80% 80-100% comp 0.895 0.990 0.980 0.985 0.985 incomp 0.825 0.874 0.970 0.965 0.975 [ FAIL 1 | WARN 1 | SKIP 0 | PASS 180 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-dmcFit.R:51:3'): dmcFit ──────────────────────────────────────── Error in `unserialize(node$con)`: error reading from connection Backtrace: ▆ 1. ├─DMCfun::dmcFitSubjectDE(...) at test-dmcFit.R:51:3 2. │ └─DMCfun::dmcFitDE(...) 3. │ └─DEoptim::DEoptim(...) 4. └─DEoptim (local) `<fn>`(`<dbl[,8]>`, ...) 5. └─parallel::parApply(...) 6. └─parallel::parLapply(cl = cl, X = arglist, fun = FUN, ..., chunk.size = chunk.size) 7. ├─base::do.call(...) 8. └─parallel::clusterApply(...) 9. └─parallel:::staticClusterApply(cl, fun, length(x), argfun) 10. └─base::lapply(cl[1:jobs], recvResult) 11. └─parallel (local) FUN(X[[i]], ...) 12. ├─parallel::recvData(con) 13. └─parallel:::recvData.SOCKnode(con) 14. └─base::unserialize(node$con) [ FAIL 1 | WARN 1 | SKIP 0 | PASS 180 ] Error: Test failures In addition: Warning messages: 1: In for (j in seq_along(cn)) { : closing unused connection 6 (<-localhost:11653) 2: In for (j in seq_along(cn)) { : closing unused connection 5 (<-localhost:11653) Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Package psychReport

Current CRAN status: OK: 12