Inhibitory Control Project - descriptive statistics & plots
Import the data: * Must be in csv format * Make sure column headers match the code * Make sure you’re in the right directory!
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## ✓ tidyr 1.1.3 ✓ stringr 1.4.0
## ✓ readr 2.0.1 ✓ forcats 0.5.1
## ✓ purrr 0.3.4## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## x ggplot2::%+%() masks psych::%+%()
## x ggplot2::alpha() masks psych::alpha()
## x readr::clipboard() masks semTools::clipboard()
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()## Rows: 336 Columns: 96## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## dbl (96): axcpt_subject_id, axcpt_proactive_control, axcpt_ax_mean_rt, axcpt...##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.A Summary of all data
## id axcpt_proactive_control axcpt_ax_mean_rt axcpt_ay_mean_rt
## Min. :1001 Min. :-0.20305 Min. :307.0 Min. :371.0
## 1st Qu.:1094 1st Qu.: 0.06461 1st Qu.:382.0 1st Qu.:519.0
## Median :2062 Median : 0.14317 Median :434.0 Median :576.0
## Mean :2376 Mean : 0.14010 Mean :447.3 Mean :586.9
## 3rd Qu.:3076 3rd Qu.: 0.21841 3rd Qu.:497.0 3rd Qu.:649.0
## Max. :4079 Max. : 0.41890 Max. :720.0 Max. :967.0
## NA's :94 NA's :94 NA's :94
## axcpt_bx_mean_rt axcpt_by_mean_rt axcpt_ax_accuracy axcpt_ay_accuracy
## Min. :206.0 Min. :227.0 Min. :0.6200 Min. :0.2200
## 1st Qu.:358.0 1st Qu.:370.0 1st Qu.:0.9700 1st Qu.:0.8300
## Median :434.0 Median :447.0 Median :0.9800 Median :0.9400
## Mean :451.4 Mean :454.5 Mean :0.9736 Mean :0.8742
## 3rd Qu.:528.0 3rd Qu.:529.0 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :903.0 Max. :751.0 Max. :1.0000 Max. :1.0000
## NA's :94 NA's :94 NA's :94 NA's :94
## axcpt_bx_accuracy axcpt_by_accuracy axcpt_mean_rt axcpt_mean_accuracy
## Min. :0.1100 Min. :0.5700 Min. :305.8 Min. :0.5700
## 1st Qu.:0.8800 1st Qu.:1.0000 1st Qu.:420.6 1st Qu.:0.9100
## Median :1.0000 Median :1.0000 Median :475.2 Median :0.9600
## Mean :0.8908 Mean :0.9787 Mean :485.0 Mean :0.9295
## 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:540.1 3rd Qu.:0.9800
## Max. :1.0000 Max. :1.0000 Max. :744.8 Max. :1.0000
## NA's :94 NA's :94 NA's :94 NA's :94
## antisaccade_error_rate antisaccade_mean_rt antisaccade_rt_sd
## Min. :0.01111 Min. : 141.8 Min. : 65.6
## 1st Qu.:0.14444 1st Qu.: 541.4 1st Qu.: 143.7
## Median :0.21111 Median : 621.1 Median : 211.5
## Mean :0.24633 Mean : 681.9 Mean : 384.2
## 3rd Qu.:0.32222 3rd Qu.: 726.5 3rd Qu.: 345.1
## Max. :0.96667 Max. :3873.9 Max. :19346.9
## NA's :44 NA's :44 NA's :44
## flanker_error_rate_congruent flanker_mean_rt_congruent
## Min. : 0.000 Min. : 367.8
## 1st Qu.: 0.000 1st Qu.: 492.4
## Median : 0.000 Median : 559.0
## Mean : 1.297 Mean : 588.3
## 3rd Qu.: 0.000 3rd Qu.: 654.3
## Max. :58.333 Max. :1211.5
## NA's :44 NA's :44
## flanker_error_rate_incongruent flanker_mean_rt_incongruent
## Min. : 0.000 Min. : 371.4
## 1st Qu.: 0.000 1st Qu.: 558.0
## Median : 2.778 Median : 644.4
## Mean : 5.503 Mean : 690.6
## 3rd Qu.: 5.556 3rd Qu.: 787.5
## Max. :91.667 Max. :1365.7
## NA's :44 NA's :44
## flanker_rt_switchcost flanker_mean_rt flanker_mean_error_rate
## Min. :-655.01 Min. : 390.6 Min. : 0.000
## 1st Qu.:-130.67 1st Qu.: 530.2 1st Qu.: 0.000
## Median : -84.28 Median : 607.6 Median : 1.389
## Mean :-102.31 Mean : 639.5 Mean : 3.400
## 3rd Qu.: -50.98 3rd Qu.: 722.5 3rd Qu.: 4.167
## Max. : 152.88 Max. :1231.7 Max. :63.889
## NA's :44 NA's :44 NA's :44
## stroop_mean_rt_congruent stroop_mean_rt_incongruent
## Min. : 586.2 Min. : 652.2
## 1st Qu.: 1053.9 1st Qu.: 1258.4
## Median : 2023.7 Median : 2125.6
## Mean : 2165.9 Mean : 13524.3
## 3rd Qu.: 2556.4 3rd Qu.: 2787.2
## Max. :19266.4 Max. :3061857.4
## NA's :91 NA's :91
## stroop_error_rate_congruent stroop_error_rate_incongruent
## Min. :0.00000 Min. :0.00000
## 1st Qu.:0.00000 1st Qu.:0.00000
## Median :0.00000 Median :0.04167
## Mean :0.02267 Mean :0.05898
## 3rd Qu.:0.00000 3rd Qu.:0.08333
## Max. :0.58333 Max. :0.75000
## NA's :91 NA's :91
## stroop_mean_rt_switchcost stroop_mean_rt stroop_mean_error_rate
## Min. :-3059858.9 Min. : 619.3 Min. :0.00000
## 1st Qu.: -390.4 1st Qu.: 1231.2 1st Qu.:0.00000
## Median : -162.0 Median : 2086.7 Median :0.02083
## Mean : -11358.4 Mean : 7845.1 Mean :0.04082
## 3rd Qu.: 24.6 3rd Qu.: 2642.9 3rd Qu.:0.04167
## Max. : 15335.1 Max. :1531927.9 Max. :0.66667
## NA's :91 NA's :91 NA's :91
## catswitch_accuracy_switch catswitch_accuracy_nonswitch
## Min. :0.2917 Min. :0.2917
## 1st Qu.:0.5417 1st Qu.:0.5833
## Median :0.6042 Median :0.6250
## Mean :0.5793 Mean :0.6071
## 3rd Qu.:0.6250 3rd Qu.:0.6458
## Max. :0.6667 Max. :0.6667
## NA's :51 NA's :51
## catswitch_mean_rt_switch catswitch_mean_rt_nonswitch catswitch_rt_switchcost
## Min. : 346.6 Min. : 321.9 Min. :-776.9
## 1st Qu.:1114.7 1st Qu.: 888.9 1st Qu.: 163.4
## Median :1332.5 Median :1032.9 Median : 276.6
## Mean :1429.5 Mean :1091.5 Mean : 338.0
## 3rd Qu.:1652.1 3rd Qu.:1221.4 3rd Qu.: 452.5
## Max. :3961.1 Max. :2938.3 Max. :1977.0
## NA's :51 NA's :51 NA's :51
## catswitch_mean_rt catswitch_accuracy updating_accuracy updating_num_correct
## Min. : 334.2 Min. :0.3222 Min. :0.0400 Min. : 2.00
## 1st Qu.:1010.5 1st Qu.:0.5729 1st Qu.:0.5300 1st Qu.:26.00
## Median :1209.7 Median :0.6146 Median :0.6700 Median :33.00
## Mean :1260.5 Mean :0.5932 Mean :0.6362 Mean :31.18
## 3rd Qu.:1431.6 3rd Qu.:0.6354 3rd Qu.:0.7800 3rd Qu.:38.00
## Max. :3321.9 Max. :0.6667 Max. :1.0000 Max. :49.00
## NA's :51 NA's :51 NA's :50 NA's :50
## updating_mean_rt supps_total supps_neg_urgency supps_lack_premed
## Min. :1269 Min. :22.00 Min. : 4.000 Min. : 4.000
## 1st Qu.:1969 1st Qu.:37.00 1st Qu.: 8.000 1st Qu.: 5.000
## Median :2373 Median :42.50 Median : 9.000 Median : 7.000
## Mean :2427 Mean :41.94 Mean : 9.345 Mean : 6.932
## 3rd Qu.:2801 3rd Qu.:46.00 3rd Qu.:11.000 3rd Qu.: 8.000
## Max. :4714 Max. :63.00 Max. :16.000 Max. :14.000
## NA's :50 NA's :41 NA's :41 NA's :41
## supps_lack_pers supps_sen_seek supps_pos_urgency tova_accuracy
## Min. : 4.000 Min. : 4.00 Min. : 4.000 Min. :0.4740
## 1st Qu.: 6.000 1st Qu.: 9.00 1st Qu.: 6.000 1st Qu.:0.9660
## Median : 7.000 Median :11.00 Median : 8.000 Median :0.9815
## Mean : 6.885 Mean :10.68 Mean : 8.099 Mean :0.9673
## 3rd Qu.: 8.000 3rd Qu.:13.00 3rd Qu.:10.000 3rd Qu.:0.9907
## Max. :14.000 Max. :16.00 Max. :16.000 Max. :1.0000
## NA's :41 NA's :41 NA's :41 NA's :48
## tova_mean_rt tova_rt_variability tova_mean_rt_infrequent
## Min. :296.5 Min. : 34.78 Min. :334.1
## 1st Qu.:362.8 1st Qu.: 74.82 1st Qu.:405.7
## Median :400.7 Median : 92.62 Median :438.9
## Mean :411.3 Mean :110.11 Mean :452.3
## 3rd Qu.:441.6 3rd Qu.:128.64 3rd Qu.:489.7
## Max. :743.6 Max. :435.33 Max. :817.3
## NA's :48 NA's :48 NA's :48
## tova_rt_variability_infrequent tova_accuracy_infrequent tova_mean_rt_frequent
## Min. : 34.60 Min. :0.4444 Min. :284.4
## 1st Qu.: 70.55 1st Qu.:0.9722 1st Qu.:347.4
## Median : 86.07 Median :1.0000 Median :384.8
## Mean : 99.37 Mean :0.9773 Mean :399.6
## 3rd Qu.:111.01 3rd Qu.:1.0000 3rd Qu.:431.7
## Max. :406.13 Max. :1.0000 Max. :722.7
## NA's :48 NA's :48 NA's :48
## tova_rt_variability_frequent tova_accuracy_frequent
## Min. : 27.88 Min. :0.3889
## 1st Qu.: 68.68 1st Qu.:0.9841
## Median : 88.60 Median :1.0000
## Mean :106.72 Mean :0.9748
## 3rd Qu.:126.22 3rd Qu.:1.0000
## Max. :453.86 Max. :1.0000
## NA's :48 NA's :48
## tova_rt_variability_switchcost tova_false_alarm_frequent
## Min. :-336.9675 Min. :0.00000
## 1st Qu.: -20.3042 1st Qu.:0.02857
## Median : -0.5713 Median :0.08333
## Mean : -7.3529 Mean :0.11880
## 3rd Qu.: 15.0624 3rd Qu.:0.16667
## Max. : 110.0748 Max. :0.84848
## NA's :48 NA's :48
## tova_misses_infrequent dm_accuracy_dog dm_accuracy_monkey dm_accuracy
## Min. :0.00000 Min. :0.9200 Min. :0.7500 Min. :0.8600
## 1st Qu.:0.00000 1st Qu.:1.0000 1st Qu.:1.0000 1st Qu.:0.9900
## Median :0.00000 Median :1.0000 Median :1.0000 Median :0.9900
## Mean :0.02268 Mean :0.9975 Mean :0.9926 Mean :0.9863
## 3rd Qu.:0.02778 3rd Qu.:1.0000 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :0.55556 Max. :1.0000 Max. :1.0000 Max. :1.0000
## NA's :48 NA's :77 NA's :77 NA's :77
## dm_mean_rt_dogs dm_mean_rt_monkey dm_mix_accuracy dm_mean_rt_mix_dog
## Min. : 390.8 Min. : 406.2 Min. :0.8100 Min. : 533.0
## 1st Qu.: 463.7 1st Qu.: 479.4 1st Qu.:0.9600 1st Qu.: 696.5
## Median : 510.7 Median : 527.2 Median :0.9800 Median : 764.4
## Mean : 536.9 Mean : 548.3 Mean :0.9694 Mean : 803.2
## 3rd Qu.: 565.4 3rd Qu.: 579.0 3rd Qu.:1.0000 3rd Qu.: 857.1
## Max. :2226.9 Max. :1507.8 Max. :1.0000 Max. :1710.8
## NA's :77 NA's :77 NA's :77 NA's :77
## dm_mean_rt_mix_monkey dm_mean_rt cancellation_dog_score
## Min. : 537.7 Min. : 380.2 Min. : 33.00
## 1st Qu.: 706.4 1st Qu.: 476.7 1st Qu.: 61.00
## Median : 787.2 Median : 525.7 Median : 67.00
## Mean : 827.7 Mean : 543.2 Mean : 67.31
## 3rd Qu.: 889.6 3rd Qu.: 576.6 3rd Qu.: 74.00
## Max. :1999.1 Max. :1154.9 Max. :105.00
## NA's :77 NA's :77 NA's :77
## cancellation_monkey_score cancellation_mix_score forward_span_partial_score
## Min. : 37.00 Min. : 78.0 Min. : 3.00
## 1st Qu.: 64.00 1st Qu.:128.2 1st Qu.:41.00
## Median : 72.00 Median :142.0 Median :50.00
## Mean : 71.38 Mean :142.9 Mean :50.82
## 3rd Qu.: 79.00 3rd Qu.:160.0 3rd Qu.:60.00
## Max. :100.00 Max. :206.0 Max. :95.00
## NA's :77 NA's :77 NA's :77
## forward_span_longest_forward_seq bisbas_bis bisbas_drive
## Min. : 2.000 Min. : 7.00 Min. : 4.000
## 1st Qu.: 6.000 1st Qu.:11.00 1st Qu.: 7.000
## Median : 7.000 Median :13.00 Median : 8.000
## Mean : 6.839 Mean :13.44 Mean : 8.477
## 3rd Qu.: 8.000 3rd Qu.:16.00 3rd Qu.:10.000
## Max. :10.000 Max. :26.00 Max. :13.000
## NA's :77 NA's :30 NA's :30
## bisbas_fun_seek bisbas_reward_response mini_markers_extra mini_markers_agree
## Min. : 4.000 Min. : 5.00 Min. :15.00 Min. :18.00
## 1st Qu.: 6.000 1st Qu.: 6.00 1st Qu.:35.00 1st Qu.:50.00
## Median : 8.000 Median : 7.00 Median :42.00 Median :57.00
## Mean : 7.745 Mean : 7.58 Mean :42.75 Mean :55.86
## 3rd Qu.: 9.000 3rd Qu.: 9.00 3rd Qu.:51.00 3rd Qu.:63.00
## Max. :15.000 Max. :18.00 Max. :69.00 Max. :72.00
## NA's :30 NA's :30 NA's :23 NA's :23
## mini_markers_conscientiousness mini_markers_neuroticism mini_markers_open
## Min. :29.00 Min. : 7.00 Min. :31.00
## 1st Qu.:44.00 1st Qu.:30.00 1st Qu.:45.00
## Median :51.00 Median :36.00 Median :51.00
## Mean :50.79 Mean :36.61 Mean :51.32
## 3rd Qu.:58.00 3rd Qu.:44.00 3rd Qu.:57.00
## Max. :72.00 Max. :70.00 Max. :71.00
## NA's :23 NA's :23 NA's :23
## swan_inattentive swan_hyperactive swan_combined
## Min. :0.00 Min. :0.000 Min. :0.00000
## 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:0.00000
## Median :2.00 Median :2.000 Median :0.00000
## Mean :2.26 Mean :2.063 Mean :0.01198
## 3rd Qu.:3.00 3rd Qu.:3.000 3rd Qu.:0.00000
## Max. :8.00 Max. :9.000 Max. :1.00000
## NA's :29 NA's :29 NA's :29Plotting percentage of subjects missing per task
EFA - Correlation Matrix - 3 Options for EFA
- no rotation
- varimax rotation (does not allow correlations among variables)
- oblimin (does allow correlations among variables) <– the one I think we should use
## id axcpt_proactive_control
## id 1.0000000000 0.0316577938
## axcpt_proactive_control 0.0316577938 1.0000000000
## axcpt_ax_mean_rt 0.0459747604 -0.3505668583
## axcpt_ay_mean_rt 0.0377481532 -0.0535034107
## axcpt_bx_mean_rt -0.0144567933 -0.8160962674
## axcpt_by_mean_rt -0.0490854597 -0.4916287657
## axcpt_ax_accuracy 0.0080466764 0.0330229509
## axcpt_ay_accuracy 0.0282525626 -0.2264169986
## axcpt_bx_accuracy 0.0249368820 0.0941795582
## axcpt_by_accuracy 0.0248891020 -0.0979553357
## axcpt_mean_rt 0.0003306965 -0.5280525015
## axcpt_mean_accuracy 0.0254834732 -0.0647406269
## antisaccade_error_rate 0.0881791208 -0.0002981062
## antisaccade_mean_rt -0.0092510451 -0.0719768606
## antisaccade_rt_sd -0.0056200807 -0.0349032961
## flanker_error_rate_congruent 0.1207254970 0.1475742677
## flanker_mean_rt_congruent 0.1764307589 -0.0301801462
## flanker_error_rate_incongruent 0.0740553547 0.0590221739
## flanker_mean_rt_incongruent 0.1653455622 -0.0294170950
## flanker_rt_switchcost -0.0642214965 0.0131094027
## flanker_mean_rt 0.1765421648 -0.0308740935
## flanker_mean_error_rate 0.0940859070 0.0898598199
## stroop_mean_rt_congruent -0.1039459139 -0.1252470130
## stroop_mean_rt_incongruent 0.1034456152 -0.0990808880
## stroop_error_rate_congruent -0.0130516832 0.0470164561
## stroop_error_rate_incongruent -0.0135395181 -0.0126363712
## stroop_mean_rt_switchcost -0.1042357659 0.0981165129
## stroop_mean_rt 0.1026493596 -0.1000395041
## stroop_mean_error_rate -0.0142571026 0.0167640834
## catswitch_accuracy_switch -0.0152683487 -0.0871711718
## catswitch_accuracy_nonswitch 0.0692033041 -0.0422799875
## catswitch_mean_rt_switch 0.0113941673 -0.0516258987
## catswitch_mean_rt_nonswitch 0.0117171330 -0.0575023004
## catswitch_rt_switchcost 0.0060194705 -0.0233462699
## catswitch_mean_rt 0.0123294164 -0.0576652110
## catswitch_accuracy 0.0286387436 -0.0710693194
## updating_accuracy -0.0854308016 -0.0995440069
## updating_num_correct -0.0862852009 -0.0989611436
## updating_mean_rt -0.0973664943 -0.0305046604
## supps_total 0.0523007204 0.0376728379
## supps_neg_urgency 0.0632221479 0.0182229865
## supps_lack_premed 0.1221013300 0.1647419459
## supps_lack_pers -0.0316037632 0.0842339594
## supps_sen_seek -0.1038950060 -0.0815902380
## supps_pos_urgency 0.1251503205 -0.0098740554
## tova_accuracy -0.0737491200 -0.0356180248
## tova_mean_rt 0.0466388754 -0.1278878507
## tova_rt_variability 0.0075573888 0.0062458849
## tova_mean_rt_infrequent -0.0197799653 -0.0733531148
## tova_rt_variability_infrequent -0.0596080265 -0.0512372607
## tova_accuracy_infrequent -0.0507978378 0.0200796974
## tova_mean_rt_frequent 0.0645096868 -0.1359179619
## tova_rt_variability_frequent 0.0329683958 0.0089186279
## tova_accuracy_frequent -0.0833450501 0.0671953776
## tova_rt_variability_switchcost -0.0964966704 -0.0593608337
## tova_false_alarm_frequent 0.0153897845 0.1788458712
## tova_misses_infrequent 0.0507978378 -0.0200796974
## dm_accuracy_dog 0.1334795988 0.0075008512
## dm_accuracy_monkey 0.1213439914 -0.0607320920
## dm_accuracy 0.2088193254 -0.0110987888
## dm_mean_rt_dogs 0.2121648502 0.0468928920
## dm_mean_rt_monkey 0.0107873899 0.0205052358
## dm_mix_accuracy 0.1727847744 0.0145454953
## dm_mean_rt_mix_dog 0.0976480827 -0.0387208629
## dm_mean_rt_mix_monkey 0.0921816224 -0.0267654075
## dm_mean_rt 0.1194748334 -0.0036491616
## cancellation_dog_score 0.0542409807 0.0942664452
## cancellation_monkey_score 0.0220444226 0.0900036151
## cancellation_mix_score -0.0034334023 0.0057761256
## forward_span_partial_score -0.0758703643 0.0240655609
## forward_span_longest_forward_seq -0.0165037872 -0.0397398415
## bisbas_bis -0.0194354604 0.1534345298
## bisbas_drive 0.0294092513 -0.0028494064
## bisbas_fun_seek -0.0655135648 0.0491031683
## bisbas_reward_response -0.0852626754 0.0891141278
## mini_markers_extra -0.0534823541 -0.1545431321
## mini_markers_agree -0.1260318299 -0.0867500794
## mini_markers_conscientiousness -0.0143754291 -0.0004880312
## mini_markers_neuroticism -0.0248038471 0.0673482625
## mini_markers_open 0.0640975693 0.0393987199
## swan_inattentive 0.0074224311 -0.0800334421
## swan_hyperactive 0.0223700631 0.0159564558
## swan_combined 0.0587035217 -0.0291559180
## axcpt_ax_mean_rt axcpt_ay_mean_rt
## id 0.045974760 0.0377481532
## axcpt_proactive_control -0.350566858 -0.0535034107
## axcpt_ax_mean_rt 1.000000000 0.7541555488
## axcpt_ay_mean_rt 0.754155549 1.0000000000
## axcpt_bx_mean_rt 0.703543945 0.5987676351
## axcpt_by_mean_rt 0.701446661 0.6388421001
## axcpt_ax_accuracy 0.128307320 0.0641968343
## axcpt_ay_accuracy 0.428961521 0.1880315185
## axcpt_bx_accuracy 0.089384964 -0.0115866086
## axcpt_by_accuracy 0.125008954 -0.0056285348
## axcpt_mean_rt 0.882158737 0.8326657420
## axcpt_mean_accuracy 0.262461622 0.0795167952
## antisaccade_error_rate 0.200273763 0.2468468739
## antisaccade_mean_rt 0.192459973 0.2261254568
## antisaccade_rt_sd 0.188757994 0.1848383071
## flanker_error_rate_congruent 0.062691058 0.0562688298
## flanker_mean_rt_congruent 0.383053024 0.4096621462
## flanker_error_rate_incongruent -0.046979061 -0.0821771773
## flanker_mean_rt_incongruent 0.371870092 0.3534863036
## flanker_rt_switchcost -0.163579751 -0.0920766809
## flanker_mean_rt 0.390968514 0.3917935498
## flanker_mean_error_rate -0.019349871 -0.0493103865
## stroop_mean_rt_congruent 0.014490887 0.0510068895
## stroop_mean_rt_incongruent 0.084874956 -0.0096161921
## stroop_error_rate_congruent -0.040960575 -0.0015020310
## stroop_error_rate_incongruent -0.065832861 -0.0143377189
## stroop_mean_rt_switchcost -0.084759343 0.0100061865
## stroop_mean_rt 0.084985600 -0.0092256140
## stroop_mean_error_rate -0.057892630 -0.0088399608
## catswitch_accuracy_switch 0.072443270 0.0489125468
## catswitch_accuracy_nonswitch 0.043064115 -0.0366872623
## catswitch_mean_rt_switch 0.111755639 0.2612927018
## catswitch_mean_rt_nonswitch 0.178337416 0.2870930824
## catswitch_rt_switchcost 0.002604928 0.1216696907
## catswitch_mean_rt 0.146819641 0.2902499759
## catswitch_accuracy 0.063313556 0.0074780756
## updating_accuracy -0.035043295 -0.0585156673
## updating_num_correct -0.035735230 -0.0604952080
## updating_mean_rt 0.095799741 0.1759109446
## supps_total -0.034166132 -0.0150603009
## supps_neg_urgency 0.013002091 0.0346784243
## supps_lack_premed -0.073866898 -0.0872446388
## supps_lack_pers 0.040246981 -0.0075109935
## supps_sen_seek -0.064336915 -0.0004786375
## supps_pos_urgency -0.005276373 -0.0048590142
## tova_accuracy -0.055177666 -0.0772831647
## tova_mean_rt 0.447821827 0.4729672692
## tova_rt_variability 0.198969403 0.2276378781
## tova_mean_rt_infrequent 0.357318435 0.4270151754
## tova_rt_variability_infrequent 0.170479910 0.1524043335
## tova_accuracy_infrequent -0.113466235 -0.1250494264
## tova_mean_rt_frequent 0.451577094 0.4650194799
## tova_rt_variability_frequent 0.187361812 0.2188794212
## tova_accuracy_frequent -0.145360047 -0.1445565230
## tova_rt_variability_switchcost -0.066072522 -0.1214696817
## tova_false_alarm_frequent -0.136623658 -0.0789133951
## tova_misses_infrequent 0.113466235 0.1250494264
## dm_accuracy_dog 0.046393377 0.1114235123
## dm_accuracy_monkey 0.035830772 0.0727570135
## dm_accuracy 0.088522364 0.1156227940
## dm_mean_rt_dogs 0.170471333 0.1797894294
## dm_mean_rt_monkey 0.241012090 0.2230561218
## dm_mix_accuracy 0.077595000 0.0718692490
## dm_mean_rt_mix_dog 0.316945767 0.3666311854
## dm_mean_rt_mix_monkey 0.324549264 0.3781783627
## dm_mean_rt 0.317340938 0.3485878526
## cancellation_dog_score -0.336780996 -0.3947078610
## cancellation_monkey_score -0.285583846 -0.3755901229
## cancellation_mix_score -0.294998679 -0.3984318127
## forward_span_partial_score -0.190021113 -0.1729472671
## forward_span_longest_forward_seq -0.127261468 -0.1230695922
## bisbas_bis -0.011785615 0.0396382635
## bisbas_drive -0.068041121 -0.1490299141
## bisbas_fun_seek 0.010661698 -0.0217119200
## bisbas_reward_response -0.035878853 -0.1192296214
## mini_markers_extra 0.035083507 0.0485871621
## mini_markers_agree -0.010019978 -0.0799845776
## mini_markers_conscientiousness 0.026316607 0.0224630190
## mini_markers_neuroticism -0.020436971 -0.0333820673
## mini_markers_open -0.108577075 -0.0870283321
## swan_inattentive 0.049909179 0.0285673094
## swan_hyperactive 0.104152283 0.0855157729
## swan_combined 0.055416004 0.0485923868
## axcpt_bx_mean_rt axcpt_by_mean_rt
## id -0.014456793 -0.049085460
## axcpt_proactive_control -0.816096267 -0.491628766
## axcpt_ax_mean_rt 0.703543945 0.701446661
## axcpt_ay_mean_rt 0.598767635 0.638842100
## axcpt_bx_mean_rt 1.000000000 0.760029642
## axcpt_by_mean_rt 0.760029642 1.000000000
## axcpt_ax_accuracy 0.019090791 -0.065206304
## axcpt_ay_accuracy 0.288175268 0.156605990
## axcpt_bx_accuracy -0.072017591 -0.235733856
## axcpt_by_accuracy 0.096016557 -0.080805441
## axcpt_mean_rt 0.894733021 0.894003758
## axcpt_mean_accuracy 0.106227149 -0.072222588
## antisaccade_error_rate 0.132442323 0.164874021
## antisaccade_mean_rt 0.181702358 0.173398603
## antisaccade_rt_sd 0.126656443 0.122525808
## flanker_error_rate_congruent -0.080861627 -0.073353321
## flanker_mean_rt_congruent 0.263345134 0.331427540
## flanker_error_rate_incongruent -0.094057422 -0.105146453
## flanker_mean_rt_incongruent 0.233732896 0.312437869
## flanker_rt_switchcost -0.071371059 -0.124078114
## flanker_mean_rt 0.255729542 0.332729111
## flanker_mean_error_rate -0.098509602 -0.105188083
## stroop_mean_rt_congruent 0.129758286 0.117237262
## stroop_mean_rt_incongruent 0.071646638 0.056186784
## stroop_error_rate_congruent -0.037082194 -0.054784223
## stroop_error_rate_incongruent -0.004259669 -0.016015098
## stroop_mean_rt_switchcost -0.070649232 -0.055286093
## stroop_mean_rt 0.072639895 0.057084228
## stroop_mean_error_rate -0.021236027 -0.036850290
## catswitch_accuracy_switch 0.075011622 -0.080025636
## catswitch_accuracy_nonswitch -0.005662257 -0.111746255
## catswitch_mean_rt_switch 0.200020274 0.111356644
## catswitch_mean_rt_nonswitch 0.217653764 0.145039414
## catswitch_rt_switchcost 0.095022285 0.031662312
## catswitch_mean_rt 0.221322902 0.132960381
## catswitch_accuracy 0.038606491 -0.104358537
## updating_accuracy 0.018663419 -0.035335977
## updating_num_correct 0.017278247 -0.036264489
## updating_mean_rt 0.120968520 0.137373806
## supps_total -0.047383891 0.025794433
## supps_neg_urgency -0.011893696 0.056129270
## supps_lack_premed -0.176796693 -0.135025619
## supps_lack_pers -0.045192927 0.018530916
## supps_sen_seek 0.052459728 0.024743056
## supps_pos_urgency -0.008714512 0.076302136
## tova_accuracy -0.025852383 -0.057940931
## tova_mean_rt 0.380987970 0.334957534
## tova_rt_variability 0.126292684 0.146740518
## tova_mean_rt_infrequent 0.303551976 0.274676070
## tova_rt_variability_infrequent 0.121732377 0.155151180
## tova_accuracy_infrequent -0.087331117 -0.083310525
## tova_mean_rt_frequent 0.384562545 0.336223310
## tova_rt_variability_frequent 0.122398351 0.131960379
## tova_accuracy_frequent -0.149674244 -0.131456591
## tova_rt_variability_switchcost -0.033348488 -0.013308447
## tova_false_alarm_frequent -0.186965545 -0.093414996
## tova_misses_infrequent 0.087331117 0.083310525
## dm_accuracy_dog 0.066721437 0.002706476
## dm_accuracy_monkey 0.082739280 0.055799380
## dm_accuracy 0.077171601 0.042417403
## dm_mean_rt_dogs 0.068065275 0.099070166
## dm_mean_rt_monkey 0.107565086 0.172451185
## dm_mix_accuracy 0.033231106 0.013429589
## dm_mean_rt_mix_dog 0.250091770 0.292690602
## dm_mean_rt_mix_monkey 0.241571396 0.258204179
## dm_mean_rt 0.206332457 0.250838851
## cancellation_dog_score -0.307470859 -0.275011176
## cancellation_monkey_score -0.303254884 -0.266252160
## cancellation_mix_score -0.243469680 -0.304975003
## forward_span_partial_score -0.119002506 -0.170993215
## forward_span_longest_forward_seq -0.053909570 -0.081536898
## bisbas_bis -0.079198453 -0.029385054
## bisbas_drive -0.100237139 -0.061690698
## bisbas_fun_seek -0.051235697 0.028940942
## bisbas_reward_response -0.126120237 0.018332537
## mini_markers_extra 0.146186087 0.115973686
## mini_markers_agree 0.027881554 -0.078556252
## mini_markers_conscientiousness 0.026520828 -0.077486051
## mini_markers_neuroticism -0.082780844 -0.061836090
## mini_markers_open -0.061428321 -0.246638397
## swan_inattentive 0.083567431 0.036186359
## swan_hyperactive 0.017096562 0.003761308
## swan_combined 0.042174634 0.043047908
## axcpt_ax_accuracy axcpt_ay_accuracy
## id 0.008046676 0.028252563
## axcpt_proactive_control 0.033022951 -0.226416999
## axcpt_ax_mean_rt 0.128307320 0.428961521
## axcpt_ay_mean_rt 0.064196834 0.188031519
## axcpt_bx_mean_rt 0.019090791 0.288175268
## axcpt_by_mean_rt -0.065206304 0.156605990
## axcpt_ax_accuracy 1.000000000 0.550004516
## axcpt_ay_accuracy 0.550004516 1.000000000
## axcpt_bx_accuracy 0.487535335 0.494952102
## axcpt_by_accuracy 0.590277815 0.545670329
## axcpt_mean_rt 0.032885830 0.295187209
## axcpt_mean_accuracy 0.674696753 0.827169992
## antisaccade_error_rate -0.208791260 -0.127453325
## antisaccade_mean_rt -0.185758769 -0.070550743
## antisaccade_rt_sd -0.211220833 -0.065435965
## flanker_error_rate_congruent 0.017010884 0.028996723
## flanker_mean_rt_congruent -0.011820031 0.038617746
## flanker_error_rate_incongruent -0.036439058 -0.102607823
## flanker_mean_rt_incongruent -0.045945044 -0.034815860
## flanker_rt_switchcost 0.069648774 0.119019157
## flanker_mean_rt -0.032593769 -0.003647930
## flanker_mean_error_rate -0.024164725 -0.073519597
## stroop_mean_rt_congruent -0.035629608 0.004419268
## stroop_mean_rt_incongruent 0.032846521 0.035275309
## stroop_error_rate_congruent 0.040566922 -0.059963388
## stroop_error_rate_incongruent -0.134390537 -0.100810945
## stroop_mean_rt_switchcost -0.033117505 -0.035239534
## stroop_mean_rt 0.032573597 0.035309018
## stroop_mean_error_rate -0.055100808 -0.087249849
## catswitch_accuracy_switch 0.288941950 0.239331724
## catswitch_accuracy_nonswitch 0.293056118 0.273210895
## catswitch_mean_rt_switch -0.024967140 -0.010969810
## catswitch_mean_rt_nonswitch 0.008335325 0.084394889
## catswitch_rt_switchcost -0.043457085 -0.090941132
## catswitch_mean_rt -0.013130682 0.027192587
## catswitch_accuracy 0.317580033 0.279395160
## updating_accuracy 0.140190297 0.205462693
## updating_num_correct 0.140674410 0.204470798
## updating_mean_rt -0.021820479 0.028256703
## supps_total -0.009974312 -0.062588004
## supps_neg_urgency -0.058468725 -0.081670315
## supps_lack_premed 0.006434202 -0.018374979
## supps_lack_pers 0.021327358 -0.001713568
## supps_sen_seek -0.047630836 -0.074205282
## supps_pos_urgency 0.070735659 0.015448669
## tova_accuracy 0.231944793 0.152468467
## tova_mean_rt -0.003178297 0.134534111
## tova_rt_variability -0.181413211 -0.077334871
## tova_mean_rt_infrequent -0.056974644 0.007180975
## tova_rt_variability_infrequent -0.241681208 -0.147452768
## tova_accuracy_infrequent 0.134105956 0.049655184
## tova_mean_rt_frequent 0.015766841 0.166086221
## tova_rt_variability_frequent -0.149352214 -0.030867976
## tova_accuracy_frequent 0.129455165 -0.018701541
## tova_rt_variability_switchcost -0.047527082 -0.102172483
## tova_false_alarm_frequent -0.204054997 -0.336196928
## tova_misses_infrequent -0.134105956 -0.049655184
## dm_accuracy_dog 0.418561642 0.186868678
## dm_accuracy_monkey -0.043227818 0.035490575
## dm_accuracy 0.164784567 0.215521729
## dm_mean_rt_dogs -0.040047163 -0.041087105
## dm_mean_rt_monkey -0.082831713 -0.103486970
## dm_mix_accuracy 0.118305648 0.222365885
## dm_mean_rt_mix_dog -0.133920014 -0.129276319
## dm_mean_rt_mix_monkey -0.111697151 -0.022670981
## dm_mean_rt -0.112319306 -0.087180413
## cancellation_dog_score 0.098845328 -0.026954859
## cancellation_monkey_score 0.160237118 0.035686893
## cancellation_mix_score 0.176546826 0.133463884
## forward_span_partial_score 0.258181880 0.085970056
## forward_span_longest_forward_seq 0.157107585 0.082159056
## bisbas_bis -0.088417951 -0.162667303
## bisbas_drive 0.060697896 0.062640719
## bisbas_fun_seek -0.033372426 -0.042442170
## bisbas_reward_response -0.044767198 -0.039234467
## mini_markers_extra -0.067070014 0.022851725
## mini_markers_agree -0.113171253 0.015950406
## mini_markers_conscientiousness 0.017386815 -0.067954156
## mini_markers_neuroticism -0.032560161 0.007248365
## mini_markers_open 0.008675279 -0.018694945
## swan_inattentive -0.013448617 0.040702990
## swan_hyperactive -0.033061901 -0.013555070
## swan_combined 0.055333182 0.088267605
## axcpt_bx_accuracy axcpt_by_accuracy
## id 0.0249368820 2.488910e-02
## axcpt_proactive_control 0.0941795582 -9.795534e-02
## axcpt_ax_mean_rt 0.0893849636 1.250090e-01
## axcpt_ay_mean_rt -0.0115866086 -5.628535e-03
## axcpt_bx_mean_rt -0.0720175911 9.601656e-02
## axcpt_by_mean_rt -0.2357338556 -8.080544e-02
## axcpt_ax_accuracy 0.4875353351 5.902778e-01
## axcpt_ay_accuracy 0.4949521015 5.456703e-01
## axcpt_bx_accuracy 1.0000000000 6.460858e-01
## axcpt_by_accuracy 0.6460858405 1.000000e+00
## axcpt_mean_rt -0.0789740841 3.634098e-02
## axcpt_mean_accuracy 0.8793896210 7.803266e-01
## antisaccade_error_rate -0.2017256292 -1.720401e-01
## antisaccade_mean_rt -0.1890977950 -9.362407e-02
## antisaccade_rt_sd -0.0958938762 -1.185118e-01
## flanker_error_rate_congruent 0.0355629400 1.334160e-02
## flanker_mean_rt_congruent -0.0800500342 8.922696e-03
## flanker_error_rate_incongruent -0.0329719478 -7.265279e-03
## flanker_mean_rt_incongruent -0.1367446163 -2.376178e-02
## flanker_rt_switchcost 0.1448170620 5.695611e-02
## flanker_mean_rt -0.1168618751 -1.020380e-02
## flanker_mean_error_rate -0.0160238521 -1.936383e-03
## stroop_mean_rt_congruent -0.0097563343 5.275003e-02
## stroop_mean_rt_incongruent 0.0426527959 2.726795e-02
## stroop_error_rate_congruent 0.0554820388 8.381112e-03
## stroop_error_rate_incongruent -0.0478271731 -6.951508e-02
## stroop_mean_rt_switchcost -0.0427251476 -2.686258e-02
## stroop_mean_rt 0.0425779400 2.767174e-02
## stroop_mean_error_rate 0.0012399676 -3.490320e-02
## catswitch_accuracy_switch 0.1949542816 1.993434e-01
## catswitch_accuracy_nonswitch 0.2699606168 1.931873e-01
## catswitch_mean_rt_switch -0.0075963190 4.238634e-02
## catswitch_mean_rt_nonswitch -0.0126928883 7.785823e-02
## catswitch_rt_switchcost 0.0003309462 -8.106301e-03
## catswitch_mean_rt -0.0102127719 5.985754e-02
## catswitch_accuracy 0.2530154988 2.142771e-01
## updating_accuracy 0.0951932854 6.155999e-02
## updating_num_correct 0.0958667704 6.318861e-02
## updating_mean_rt -0.0962859347 -1.552119e-02
## supps_total -0.0127905642 9.654471e-04
## supps_neg_urgency -0.0583490371 -4.101701e-02
## supps_lack_premed 0.0393840183 -3.263104e-02
## supps_lack_pers 0.0104770753 3.056179e-02
## supps_sen_seek -0.0534063533 3.740935e-02
## supps_pos_urgency 0.0510913264 7.617086e-03
## tova_accuracy 0.1786299917 1.782849e-01
## tova_mean_rt -0.0307633455 5.843898e-02
## tova_rt_variability -0.1189725172 -1.020594e-01
## tova_mean_rt_infrequent -0.0318557023 -3.925414e-03
## tova_rt_variability_infrequent -0.1690445438 -1.727720e-01
## tova_accuracy_infrequent 0.1268082802 1.111737e-01
## tova_mean_rt_frequent -0.0293686023 7.433545e-02
## tova_rt_variability_frequent -0.0993599859 -6.629564e-02
## tova_accuracy_frequent 0.0853332610 9.329212e-02
## tova_rt_variability_switchcost -0.0394425128 -8.312825e-02
## tova_false_alarm_frequent -0.1837133360 -1.666882e-01
## tova_misses_infrequent -0.1268082802 -1.111737e-01
## dm_accuracy_dog 0.1089017236 1.315368e-01
## dm_accuracy_monkey -0.0003853107 -5.118471e-02
## dm_accuracy 0.1055461060 3.833443e-02
## dm_mean_rt_dogs -0.0086418114 3.995785e-02
## dm_mean_rt_monkey -0.0950184080 -1.809262e-02
## dm_mix_accuracy 0.1050369567 2.712760e-02
## dm_mean_rt_mix_dog -0.1171328300 -1.321166e-02
## dm_mean_rt_mix_monkey -0.0794122320 1.851698e-02
## dm_mean_rt -0.0914083029 7.388829e-03
## cancellation_dog_score 0.0767745116 -1.133496e-02
## cancellation_monkey_score 0.1319460656 5.595095e-02
## cancellation_mix_score 0.0998811232 1.558274e-01
## forward_span_partial_score 0.1882950275 4.829250e-02
## forward_span_longest_forward_seq 0.1149786460 -3.111452e-02
## bisbas_bis 0.0089324767 -6.024533e-02
## bisbas_drive -0.0678059268 -4.878842e-02
## bisbas_fun_seek -0.0790867952 -3.002972e-02
## bisbas_reward_response -0.0388280379 -9.167026e-02
## mini_markers_extra -0.0914742242 -1.038492e-02
## mini_markers_agree -0.1157427759 -1.623227e-02
## mini_markers_conscientiousness 0.0698904744 5.516391e-02
## mini_markers_neuroticism -0.0160208038 4.045489e-05
## mini_markers_open 0.0723678015 1.068628e-01
## swan_inattentive -0.0121505452 -7.055438e-02
## swan_hyperactive 0.0453776849 -8.347751e-02
## swan_combined 0.0636449974 5.414846e-02
## axcpt_mean_rt axcpt_mean_accuracy
## id 0.0003306965 0.0254834732
## axcpt_proactive_control -0.5280525015 -0.0647406269
## axcpt_ax_mean_rt 0.8821587370 0.2624616221
## axcpt_ay_mean_rt 0.8326657420 0.0795167952
## axcpt_bx_mean_rt 0.8947330206 0.1062271487
## axcpt_by_mean_rt 0.8940037578 -0.0722225882
## axcpt_ax_accuracy 0.0328858301 0.6746967533
## axcpt_ay_accuracy 0.2951872086 0.8271699924
## axcpt_bx_accuracy -0.0789740841 0.8793896210
## axcpt_by_accuracy 0.0363409791 0.7803265846
## axcpt_mean_rt 1.0000000000 0.0960735607
## axcpt_mean_accuracy 0.0960735607 1.0000000000
## antisaccade_error_rate 0.2056779919 -0.2051960498
## antisaccade_mean_rt 0.2183547398 -0.1605179890
## antisaccade_rt_sd 0.1722577211 -0.1172011690
## flanker_error_rate_congruent -0.0215229821 0.0323389644
## flanker_mean_rt_congruent 0.3857255520 -0.0284199627
## flanker_error_rate_incongruent -0.0966047618 -0.0661218462
## flanker_mean_rt_incongruent 0.3526016566 -0.0984300642
## flanker_rt_switchcost -0.1237472347 0.1448988845
## flanker_mean_rt 0.3806752703 -0.0711975767
## flanker_mean_error_rate -0.0833581205 -0.0434229126
## stroop_mean_rt_congruent 0.0972513813 0.0055970730
## stroop_mean_rt_incongruent 0.0590971642 0.0425168384
## stroop_error_rate_congruent -0.0395081592 0.0104573105
## stroop_error_rate_incongruent -0.0252978569 -0.0909997863
## stroop_mean_rt_switchcost -0.0583493304 -0.0424716476
## stroop_mean_rt 0.0598415720 0.0425595391
## stroop_mean_error_rate -0.0343199420 -0.0459517203
## catswitch_accuracy_switch 0.0309048003 0.2635396853
## catswitch_accuracy_nonswitch -0.0353590827 0.3163389322
## catswitch_mean_rt_switch 0.1961378407 -0.0030605680
## catswitch_mean_rt_nonswitch 0.2344659799 0.0437269540
## catswitch_rt_switchcost 0.0744562282 -0.0433323037
## catswitch_mean_rt 0.2256160146 0.0158262239
## catswitch_accuracy -0.0018067327 0.3159648017
## updating_accuracy -0.0273137379 0.1643173007
## updating_num_correct -0.0287448511 0.1644916331
## updating_mean_rt 0.1510278174 -0.0424123068
## supps_total -0.0204900079 -0.0366202830
## supps_neg_urgency 0.0248512437 -0.0806539178
## supps_lack_premed -0.1420477317 0.0075084921
## supps_lack_pers -0.0026335703 0.0104564655
## supps_sen_seek 0.0106139854 -0.0575506037
## supps_pos_urgency 0.0175952281 0.0385647699
## tova_accuracy -0.0594061678 0.2080036051
## tova_mean_rt 0.4589233171 0.0508393960
## tova_rt_variability 0.1929408012 -0.1288469830
## tova_mean_rt_infrequent 0.3809708466 -0.0188878398
## tova_rt_variability_infrequent 0.1680537524 -0.2019361566
## tova_accuracy_infrequent -0.1140712365 0.1162061625
## tova_mean_rt_frequent 0.4593868268 0.0693007026
## tova_rt_variability_frequent 0.1821749728 -0.0898957650
## tova_accuracy_frequent -0.1628190615 0.0611093873
## tova_rt_variability_switchcost -0.0620712644 -0.0820898085
## tova_false_alarm_frequent -0.1449734308 -0.2880919452
## tova_misses_infrequent 0.1140712365 -0.1162061625
## dm_accuracy_dog 0.0630937898 0.1937599897
## dm_accuracy_monkey 0.0725267738 0.0015595014
## dm_accuracy 0.0895784369 0.1672645788
## dm_mean_rt_dogs 0.1392348547 -0.0220371055
## dm_mean_rt_monkey 0.2026033839 -0.1048630343
## dm_mix_accuracy 0.0517882311 0.1650671982
## dm_mean_rt_mix_dog 0.3430608724 -0.1326534644
## dm_mean_rt_mix_monkey 0.3343751710 -0.0620643933
## dm_mean_rt 0.3106045353 -0.0967339971
## cancellation_dog_score -0.3694252195 0.0345271550
## cancellation_monkey_score -0.3484381228 0.1081933099
## cancellation_mix_score -0.3474799312 0.1506015084
## forward_span_partial_score -0.1816084096 0.1664648093
## forward_span_longest_forward_seq -0.1045371212 0.1059304725
## bisbas_bis -0.0292185899 -0.0803995169
## bisbas_drive -0.1074838217 -0.0112521024
## bisbas_fun_seek -0.0119102715 -0.0650561953
## bisbas_reward_response -0.0770940032 -0.0521192218
## mini_markers_extra 0.1065312151 -0.0404737921
## mini_markers_agree -0.0368089668 -0.0656269863
## mini_markers_conscientiousness -0.0025276218 0.0123567187
## mini_markers_neuroticism -0.0607557403 -0.0099463997
## mini_markers_open -0.1437999789 0.0477967058
## swan_inattentive 0.0588550268 -0.0008345038
## swan_hyperactive 0.0530512314 -0.0014167480
## swan_combined 0.0528107642 0.0822756467
## antisaccade_error_rate antisaccade_mean_rt
## id 0.0881791208 -0.009251045
## axcpt_proactive_control -0.0002981062 -0.071976861
## axcpt_ax_mean_rt 0.2002737634 0.192459973
## axcpt_ay_mean_rt 0.2468468739 0.226125457
## axcpt_bx_mean_rt 0.1324423227 0.181702358
## axcpt_by_mean_rt 0.1648740214 0.173398603
## axcpt_ax_accuracy -0.2087912598 -0.185758769
## axcpt_ay_accuracy -0.1274533251 -0.070550743
## axcpt_bx_accuracy -0.2017256292 -0.189097795
## axcpt_by_accuracy -0.1720401205 -0.093624066
## axcpt_mean_rt 0.2056779919 0.218354740
## axcpt_mean_accuracy -0.2051960498 -0.160517989
## antisaccade_error_rate 1.0000000000 0.548372331
## antisaccade_mean_rt 0.5483723308 1.000000000
## antisaccade_rt_sd 0.2788477630 0.793375588
## flanker_error_rate_congruent 0.0224435699 0.006262258
## flanker_mean_rt_congruent 0.3301988176 0.296491861
## flanker_error_rate_incongruent -0.0371495977 -0.103717819
## flanker_mean_rt_incongruent 0.3021056917 0.323510100
## flanker_rt_switchcost -0.1064251935 -0.193472052
## flanker_mean_rt 0.3260318540 0.323865188
## flanker_mean_error_rate -0.0231586182 -0.080989931
## stroop_mean_rt_congruent 0.0193707908 0.015090130
## stroop_mean_rt_incongruent -0.0521475983 0.140710634
## stroop_error_rate_congruent 0.0438522201 -0.067501963
## stroop_error_rate_incongruent 0.1226724907 0.069343186
## stroop_mean_rt_switchcost 0.0522930389 -0.140587362
## stroop_mean_rt -0.0519990931 0.140825664
## stroop_mean_error_rate 0.0913814093 0.004775142
## catswitch_accuracy_switch -0.2837370989 -0.018943746
## catswitch_accuracy_nonswitch -0.2789913378 -0.045508984
## catswitch_mean_rt_switch 0.0895654543 0.212980724
## catswitch_mean_rt_nonswitch 0.0660626033 0.292557931
## catswitch_rt_switchcost 0.0704924019 0.047069778
## catswitch_mean_rt 0.0862847598 0.260487794
## catswitch_accuracy -0.3071473049 -0.034924121
## updating_accuracy -0.3160822902 -0.186323063
## updating_num_correct -0.3176211769 -0.188225927
## updating_mean_rt 0.2061042005 0.305852459
## supps_total -0.1669087799 -0.107456816
## supps_neg_urgency -0.0531609173 -0.062397034
## supps_lack_premed -0.1287367604 -0.146699404
## supps_lack_pers 0.0124865042 -0.034246764
## supps_sen_seek -0.1659315106 -0.026110337
## supps_pos_urgency -0.1240651684 -0.062502358
## tova_accuracy -0.2489069097 -0.102987482
## tova_mean_rt 0.2174838939 0.104836983
## tova_rt_variability 0.2325341848 0.130441017
## tova_mean_rt_infrequent 0.2631139809 0.107535963
## tova_rt_variability_infrequent 0.1788349311 0.053726170
## tova_accuracy_infrequent -0.0961629804 -0.033802404
## tova_mean_rt_frequent 0.1920087342 0.097258637
## tova_rt_variability_frequent 0.2095204409 0.133351375
## tova_accuracy_frequent -0.1412307239 -0.049276250
## tova_rt_variability_switchcost -0.0850697673 -0.111062770
## tova_false_alarm_frequent 0.2956636004 0.124285891
## tova_misses_infrequent 0.0961629804 0.033802404
## dm_accuracy_dog 0.0583991925 -0.007623895
## dm_accuracy_monkey 0.0450663781 0.045819358
## dm_accuracy 0.0191047155 0.085449578
## dm_mean_rt_dogs 0.2174344217 0.137078107
## dm_mean_rt_monkey 0.3155187549 0.230411642
## dm_mix_accuracy -0.0119822767 0.108266133
## dm_mean_rt_mix_dog 0.4011000729 0.356695201
## dm_mean_rt_mix_monkey 0.4104482526 0.331159589
## dm_mean_rt 0.4047582007 0.320783838
## cancellation_dog_score -0.3932307812 -0.388922552
## cancellation_monkey_score -0.3953389051 -0.341857774
## cancellation_mix_score -0.4264680289 -0.267614389
## forward_span_partial_score -0.3140699211 -0.163432216
## forward_span_longest_forward_seq -0.3139622470 -0.186429787
## bisbas_bis -0.0262441530 0.108708241
## bisbas_drive 0.0387161661 0.122671028
## bisbas_fun_seek 0.1613338124 0.154797261
## bisbas_reward_response 0.0621683147 0.103570956
## mini_markers_extra -0.0802881276 -0.081610228
## mini_markers_agree 0.0417391144 0.030081799
## mini_markers_conscientiousness 0.0894784351 0.013955588
## mini_markers_neuroticism 0.0113337791 -0.024141803
## mini_markers_open 0.0933768691 0.045085843
## swan_inattentive 0.0251785096 -0.012291679
## swan_hyperactive -0.0420811158 -0.094636643
## swan_combined -0.1695310201 -0.082298398
## antisaccade_rt_sd flanker_error_rate_congruent
## id -0.0056200807 0.120725497
## axcpt_proactive_control -0.0349032961 0.147574268
## axcpt_ax_mean_rt 0.1887579944 0.062691058
## axcpt_ay_mean_rt 0.1848383071 0.056268830
## axcpt_bx_mean_rt 0.1266564431 -0.080861627
## axcpt_by_mean_rt 0.1225258083 -0.073353321
## axcpt_ax_accuracy -0.2112208327 0.017010884
## axcpt_ay_accuracy -0.0654359650 0.028996723
## axcpt_bx_accuracy -0.0958938762 0.035562940
## axcpt_by_accuracy -0.1185117699 0.013341602
## axcpt_mean_rt 0.1722577211 -0.021522982
## axcpt_mean_accuracy -0.1172011690 0.032338964
## antisaccade_error_rate 0.2788477630 0.022443570
## antisaccade_mean_rt 0.7933755884 0.006262258
## antisaccade_rt_sd 1.0000000000 0.042942605
## flanker_error_rate_congruent 0.0429426046 1.000000000
## flanker_mean_rt_congruent 0.3025199237 0.223122746
## flanker_error_rate_incongruent -0.0382043278 0.602812479
## flanker_mean_rt_incongruent 0.3546574396 0.099614287
## flanker_rt_switchcost -0.2434526725 0.123979189
## flanker_mean_rt 0.3450830139 0.158054490
## flanker_mean_error_rate -0.0180639079 0.770869468
## stroop_mean_rt_congruent -0.0123765363 -0.005561960
## stroop_mean_rt_incongruent 0.2110735294 -0.021452301
## stroop_error_rate_congruent -0.0711856522 0.231004481
## stroop_error_rate_incongruent 0.0649919942 0.153807740
## stroop_mean_rt_switchcost -0.2111566805 0.021408538
## stroop_mean_rt 0.2109780002 -0.021494810
## stroop_mean_error_rate 0.0004527711 0.203987560
## catswitch_accuracy_switch 0.0670378188 0.005028110
## catswitch_accuracy_nonswitch 0.0385382652 0.012454204
## catswitch_mean_rt_switch 0.2699585709 0.091993077
## catswitch_mean_rt_nonswitch 0.3250584356 0.109695953
## catswitch_rt_switchcost 0.1003915507 0.035165396
## catswitch_mean_rt 0.3114893692 0.105707183
## catswitch_accuracy 0.0578853776 0.009470826
## updating_accuracy -0.1515427504 0.002015159
## updating_num_correct -0.1529594421 0.003412776
## updating_mean_rt 0.2340277659 0.007636892
## supps_total -0.0744723215 0.013445774
## supps_neg_urgency -0.0285206958 -0.099696240
## supps_lack_premed -0.0789672507 0.046700175
## supps_lack_pers -0.0433904607 0.046223333
## supps_sen_seek -0.0205150416 0.083657351
## supps_pos_urgency -0.0604073891 -0.021641555
## tova_accuracy -0.0988971017 -0.033941212
## tova_mean_rt 0.0681845455 0.052378328
## tova_rt_variability 0.1116129221 0.019815139
## tova_mean_rt_infrequent 0.0631409419 0.058995857
## tova_rt_variability_infrequent 0.0539824590 -0.012179439
## tova_accuracy_infrequent -0.0844048550 -0.129411556
## tova_mean_rt_frequent 0.0643960884 0.048474268
## tova_rt_variability_frequent 0.1076259008 0.025962335
## tova_accuracy_frequent -0.0322490279 0.004515460
## tova_rt_variability_switchcost -0.0795775104 -0.043065967
## tova_false_alarm_frequent 0.0885598215 0.009071778
## tova_misses_infrequent 0.0844048550 0.129411556
## dm_accuracy_dog -0.0352885080 0.006702549
## dm_accuracy_monkey 0.0387234581 -0.058689503
## dm_accuracy 0.0398797419 -0.043347999
## dm_mean_rt_dogs 0.1354144738 0.330315944
## dm_mean_rt_monkey 0.2491873816 0.016726486
## dm_mix_accuracy 0.0634967585 -0.008721443
## dm_mean_rt_mix_dog 0.3515220290 0.037361452
## dm_mean_rt_mix_monkey 0.3331369808 0.040248977
## dm_mean_rt 0.3243735710 0.115121292
## cancellation_dog_score -0.3812775575 -0.076073772
## cancellation_monkey_score -0.3285138996 -0.036992168
## cancellation_mix_score -0.2331504749 -0.077812425
## forward_span_partial_score -0.1951449210 -0.103690119
## forward_span_longest_forward_seq -0.1855827752 -0.142991172
## bisbas_bis 0.1464542324 0.043663332
## bisbas_drive 0.0569677102 -0.083770649
## bisbas_fun_seek 0.0800880800 -0.131389387
## bisbas_reward_response 0.0163652074 -0.067590661
## mini_markers_extra -0.0969122457 0.065364336
## mini_markers_agree 0.0086699837 0.099726269
## mini_markers_conscientiousness -0.0153287779 0.041489730
## mini_markers_neuroticism -0.0749038606 -0.026542861
## mini_markers_open -0.0099811695 0.045540473
## swan_inattentive -0.0131186163 0.076861382
## swan_hyperactive -0.0555218274 0.135874623
## swan_combined 0.0318312141 -0.043654426
## flanker_mean_rt_congruent
## id 0.1764307589
## axcpt_proactive_control -0.0301801462
## axcpt_ax_mean_rt 0.3830530243
## axcpt_ay_mean_rt 0.4096621462
## axcpt_bx_mean_rt 0.2633451343
## axcpt_by_mean_rt 0.3314275401
## axcpt_ax_accuracy -0.0118200309
## axcpt_ay_accuracy 0.0386177462
## axcpt_bx_accuracy -0.0800500342
## axcpt_by_accuracy 0.0089226963
## axcpt_mean_rt 0.3857255520
## axcpt_mean_accuracy -0.0284199627
## antisaccade_error_rate 0.3301988176
## antisaccade_mean_rt 0.2964918612
## antisaccade_rt_sd 0.3025199237
## flanker_error_rate_congruent 0.2231227459
## flanker_mean_rt_congruent 1.0000000000
## flanker_error_rate_incongruent 0.0005748855
## flanker_mean_rt_incongruent 0.8528601536
## flanker_rt_switchcost -0.2059976599
## flanker_mean_rt 0.9504188725
## flanker_mean_error_rate 0.0650778994
## stroop_mean_rt_congruent 0.0813667512
## stroop_mean_rt_incongruent 0.0773765035
## stroop_error_rate_congruent -0.1280191230
## stroop_error_rate_incongruent 0.0169134872
## stroop_mean_rt_switchcost -0.0767492817
## stroop_mean_rt 0.0779992215
## stroop_mean_error_rate -0.0555010019
## catswitch_accuracy_switch -0.0339246221
## catswitch_accuracy_nonswitch -0.1030027816
## catswitch_mean_rt_switch 0.1768467425
## catswitch_mean_rt_nonswitch 0.1973783728
## catswitch_rt_switchcost 0.0796161087
## catswitch_mean_rt 0.1976987004
## catswitch_accuracy -0.0740759148
## updating_accuracy -0.2618040427
## updating_num_correct -0.2616221795
## updating_mean_rt 0.1499387583
## supps_total -0.0527795700
## supps_neg_urgency -0.0138165601
## supps_lack_premed -0.0033767239
## supps_lack_pers 0.0622822080
## supps_sen_seek -0.1267845959
## supps_pos_urgency -0.0272087455
## tova_accuracy -0.2259613238
## tova_mean_rt 0.3623239905
## tova_rt_variability 0.3209695817
## tova_mean_rt_infrequent 0.2768581650
## tova_rt_variability_infrequent 0.2049825886
## tova_accuracy_infrequent -0.1071835171
## tova_mean_rt_frequent 0.3679495167
## tova_rt_variability_frequent 0.3252010243
## tova_accuracy_frequent -0.1758312251
## tova_rt_variability_switchcost -0.2007931733
## tova_false_alarm_frequent 0.1590937532
## tova_misses_infrequent 0.1071835171
## dm_accuracy_dog 0.0591571275
## dm_accuracy_monkey 0.1101143324
## dm_accuracy 0.1648481481
## dm_mean_rt_dogs 0.3439804774
## dm_mean_rt_monkey 0.3190656089
## dm_mix_accuracy 0.1389687553
## dm_mean_rt_mix_dog 0.4454753097
## dm_mean_rt_mix_monkey 0.4705084354
## dm_mean_rt 0.4724870773
## cancellation_dog_score -0.4008007059
## cancellation_monkey_score -0.3462440164
## cancellation_mix_score -0.3388028834
## forward_span_partial_score -0.2923858010
## forward_span_longest_forward_seq -0.1998622570
## bisbas_bis -0.0059871415
## bisbas_drive 0.0651912251
## bisbas_fun_seek 0.1608793220
## bisbas_reward_response -0.0129420691
## mini_markers_extra -0.0813789482
## mini_markers_agree -0.0647800689
## mini_markers_conscientiousness 0.0854392237
## mini_markers_neuroticism -0.0157084960
## mini_markers_open -0.1357888273
## swan_inattentive 0.0292072646
## swan_hyperactive 0.0311849107
## swan_combined -0.0470652715
## flanker_error_rate_incongruent
## id 0.0740553547
## axcpt_proactive_control 0.0590221739
## axcpt_ax_mean_rt -0.0469790609
## axcpt_ay_mean_rt -0.0821771773
## axcpt_bx_mean_rt -0.0940574223
## axcpt_by_mean_rt -0.1051464531
## axcpt_ax_accuracy -0.0364390584
## axcpt_ay_accuracy -0.1026078234
## axcpt_bx_accuracy -0.0329719478
## axcpt_by_accuracy -0.0072652786
## axcpt_mean_rt -0.0966047618
## axcpt_mean_accuracy -0.0661218462
## antisaccade_error_rate -0.0371495977
## antisaccade_mean_rt -0.1037178186
## antisaccade_rt_sd -0.0382043278
## flanker_error_rate_congruent 0.6028124787
## flanker_mean_rt_congruent 0.0005748855
## flanker_error_rate_incongruent 1.0000000000
## flanker_mean_rt_incongruent 0.1485934157
## flanker_rt_switchcost -0.2776816071
## flanker_mean_rt 0.0887527375
## flanker_mean_error_rate 0.9729356678
## stroop_mean_rt_congruent -0.0425730065
## stroop_mean_rt_incongruent -0.0361437289
## stroop_error_rate_congruent 0.2529859445
## stroop_error_rate_incongruent 0.1898497412
## stroop_mean_rt_switchcost 0.0358157903
## stroop_mean_rt -0.0364695654
## stroop_mean_error_rate 0.2354571702
## catswitch_accuracy_switch -0.1036987190
## catswitch_accuracy_nonswitch -0.1645601738
## catswitch_mean_rt_switch -0.1228975772
## catswitch_mean_rt_nonswitch -0.1229688264
## catswitch_rt_switchcost -0.0679627738
## catswitch_mean_rt -0.1315920095
## catswitch_accuracy -0.1458259652
## updating_accuracy 0.0335564185
## updating_num_correct 0.0320570444
## updating_mean_rt 0.0481120233
## supps_total 0.0244994256
## supps_neg_urgency -0.0136002925
## supps_lack_premed -0.0076311825
## supps_lack_pers 0.0484604156
## supps_sen_seek 0.0498363194
## supps_pos_urgency -0.0032721505
## tova_accuracy -0.1288365304
## tova_mean_rt 0.0038109392
## tova_rt_variability 0.0438609871
## tova_mean_rt_infrequent 0.0389816836
## tova_rt_variability_infrequent 0.0231220185
## tova_accuracy_infrequent -0.1854601443
## tova_mean_rt_frequent -0.0061174144
## tova_rt_variability_frequent 0.0354986737
## tova_accuracy_frequent -0.0314289715
## tova_rt_variability_switchcost -0.0212115656
## tova_false_alarm_frequent 0.1668200314
## tova_misses_infrequent 0.1854601443
## dm_accuracy_dog -0.0040118463
## dm_accuracy_monkey -0.0790879545
## dm_accuracy -0.2499946037
## dm_mean_rt_dogs 0.3842994759
## dm_mean_rt_monkey 0.1770180663
## dm_mix_accuracy -0.3015398925
## dm_mean_rt_mix_dog 0.1365935665
## dm_mean_rt_mix_monkey 0.0241191311
## dm_mean_rt 0.1983775772
## cancellation_dog_score -0.0704302218
## cancellation_monkey_score -0.0928012299
## cancellation_mix_score -0.1013221407
## forward_span_partial_score -0.1596293766
## forward_span_longest_forward_seq -0.1494503294
## bisbas_bis 0.0814464062
## bisbas_drive -0.0525387002
## bisbas_fun_seek -0.1019534533
## bisbas_reward_response -0.1244356404
## mini_markers_extra 0.0389826482
## mini_markers_agree 0.0495466515
## mini_markers_conscientiousness -0.0158064175
## mini_markers_neuroticism 0.0414999711
## mini_markers_open 0.0009807822
## swan_inattentive 0.0185653328
## swan_hyperactive 0.0341351560
## swan_combined -0.0441827607
## flanker_mean_rt_incongruent
## id 0.165345562
## axcpt_proactive_control -0.029417095
## axcpt_ax_mean_rt 0.371870092
## axcpt_ay_mean_rt 0.353486304
## axcpt_bx_mean_rt 0.233732896
## axcpt_by_mean_rt 0.312437869
## axcpt_ax_accuracy -0.045945044
## axcpt_ay_accuracy -0.034815860
## axcpt_bx_accuracy -0.136744616
## axcpt_by_accuracy -0.023761780
## axcpt_mean_rt 0.352601657
## axcpt_mean_accuracy -0.098430064
## antisaccade_error_rate 0.302105692
## antisaccade_mean_rt 0.323510100
## antisaccade_rt_sd 0.354657440
## flanker_error_rate_congruent 0.099614287
## flanker_mean_rt_congruent 0.852860154
## flanker_error_rate_incongruent 0.148593416
## flanker_mean_rt_incongruent 1.000000000
## flanker_rt_switchcost -0.686628008
## flanker_mean_rt 0.972945441
## flanker_mean_error_rate 0.147479628
## stroop_mean_rt_congruent 0.044351327
## stroop_mean_rt_incongruent 0.142632388
## stroop_error_rate_congruent -0.100684254
## stroop_error_rate_incongruent 0.039524079
## stroop_mean_rt_switchcost -0.142284978
## stroop_mean_rt 0.142971454
## stroop_mean_error_rate -0.028878483
## catswitch_accuracy_switch -0.067641645
## catswitch_accuracy_nonswitch -0.183359812
## catswitch_mean_rt_switch 0.145422826
## catswitch_mean_rt_nonswitch 0.163825599
## catswitch_rt_switchcost 0.064116925
## catswitch_mean_rt 0.163189948
## catswitch_accuracy -0.135891221
## updating_accuracy -0.231949658
## updating_num_correct -0.233636354
## updating_mean_rt 0.179119145
## supps_total -0.046773666
## supps_neg_urgency 0.017818892
## supps_lack_premed -0.019328109
## supps_lack_pers 0.105559215
## supps_sen_seek -0.165253445
## supps_pos_urgency -0.018237976
## tova_accuracy -0.275785176
## tova_mean_rt 0.307443559
## tova_rt_variability 0.310185386
## tova_mean_rt_infrequent 0.231616454
## tova_rt_variability_infrequent 0.213346790
## tova_accuracy_infrequent -0.223057614
## tova_mean_rt_frequent 0.313480477
## tova_rt_variability_frequent 0.302662307
## tova_accuracy_frequent -0.173239415
## tova_rt_variability_switchcost -0.165498663
## tova_false_alarm_frequent 0.225796922
## tova_misses_infrequent 0.223057614
## dm_accuracy_dog 0.030446409
## dm_accuracy_monkey 0.034269463
## dm_accuracy 0.023260767
## dm_mean_rt_dogs 0.307845405
## dm_mean_rt_monkey 0.430017691
## dm_mix_accuracy 0.004044134
## dm_mean_rt_mix_dog 0.488673051
## dm_mean_rt_mix_monkey 0.478053196
## dm_mean_rt 0.509147281
## cancellation_dog_score -0.404973773
## cancellation_monkey_score -0.377957338
## cancellation_mix_score -0.328205654
## forward_span_partial_score -0.316865400
## forward_span_longest_forward_seq -0.221145941
## bisbas_bis -0.030488346
## bisbas_drive 0.109926513
## bisbas_fun_seek 0.178401744
## bisbas_reward_response 0.001484234
## mini_markers_extra -0.130604307
## mini_markers_agree -0.066710277
## mini_markers_conscientiousness 0.043114409
## mini_markers_neuroticism 0.039548445
## mini_markers_open -0.172773370
## swan_inattentive 0.005623880
## swan_hyperactive -0.005947883
## swan_combined -0.087232150
## flanker_rt_switchcost flanker_mean_rt
## id -0.064221497 0.176542165
## axcpt_proactive_control 0.013109403 -0.030874093
## axcpt_ax_mean_rt -0.163579751 0.390968514
## axcpt_ay_mean_rt -0.092076681 0.391793550
## axcpt_bx_mean_rt -0.071371059 0.255729542
## axcpt_by_mean_rt -0.124078114 0.332729111
## axcpt_ax_accuracy 0.069648774 -0.032593769
## axcpt_ay_accuracy 0.119019157 -0.003647930
## axcpt_bx_accuracy 0.144817062 -0.116861875
## axcpt_by_accuracy 0.056956108 -0.010203803
## axcpt_mean_rt -0.123747235 0.380675270
## axcpt_mean_accuracy 0.144898885 -0.071197577
## antisaccade_error_rate -0.106425193 0.326031854
## antisaccade_mean_rt -0.193472052 0.323865188
## antisaccade_rt_sd -0.243452672 0.345083014
## flanker_error_rate_congruent 0.123979189 0.158054490
## flanker_mean_rt_congruent -0.205997660 0.950418873
## flanker_error_rate_incongruent -0.277681607 0.088752737
## flanker_mean_rt_incongruent -0.686628008 0.972945441
## flanker_rt_switchcost 1.000000000 -0.500087088
## flanker_mean_rt -0.500087088 1.000000000
## flanker_mean_error_rate -0.185782459 0.116630534
## stroop_mean_rt_congruent 0.030172505 0.062417459
## stroop_mean_rt_incongruent -0.159573991 0.119185501
## stroop_error_rate_congruent 0.010445069 -0.116610511
## stroop_error_rate_incongruent -0.050523155 0.031023350
## stroop_mean_rt_switchcost 0.159796225 -0.118701061
## stroop_mean_rt -0.159342391 0.119662978
## stroop_mean_error_rate -0.023155908 -0.041757222
## catswitch_accuracy_switch 0.079533160 -0.055296486
## catswitch_accuracy_nonswitch 0.200220969 -0.154780747
## catswitch_mean_rt_switch -0.026304674 0.164860766
## catswitch_mean_rt_nonswitch -0.032206166 0.184905765
## catswitch_rt_switchcost -0.009308155 0.073414714
## catswitch_mean_rt -0.030568865 0.184668925
## catswitch_accuracy 0.151535854 -0.113710201
## updating_accuracy 0.070174818 -0.253985593
## updating_num_correct 0.073589111 -0.254909675
## updating_mean_rt -0.126921407 0.173023234
## supps_total 0.014171060 -0.051210954
## supps_neg_urgency -0.052632464 0.004498949
## supps_lack_premed 0.031521583 -0.013005442
## supps_lack_pers -0.111111153 0.090426798
## supps_sen_seek 0.133174466 -0.154519987
## supps_pos_urgency -0.003704345 -0.022901323
## tova_accuracy 0.202234056 -0.264233285
## tova_mean_rt -0.071699018 0.343425618
## tova_rt_variability -0.134417989 0.326760179
## tova_mean_rt_infrequent -0.048589513 0.260448258
## tova_rt_variability_infrequent -0.114427026 0.217763989
## tova_accuracy_infrequent 0.268798346 -0.180273604
## tova_mean_rt_frequent -0.075180146 0.349510219
## tova_rt_variability_frequent -0.114427114 0.324151948
## tova_accuracy_frequent 0.079850303 -0.180978257
## tova_rt_variability_switchcost 0.030587038 -0.187413170
## tova_false_alarm_frequent -0.201654116 0.204874182
## tova_misses_infrequent -0.268798346 0.180273604
## dm_accuracy_dog 0.025308090 0.044308791
## dm_accuracy_monkey 0.089094281 0.069133124
## dm_accuracy 0.185935390 0.086795120
## dm_mean_rt_dogs -0.097993003 0.335548353
## dm_mean_rt_monkey -0.361649268 0.397286710
## dm_mix_accuracy 0.185916112 0.063899143
## dm_mean_rt_mix_dog -0.295568004 0.488153774
## dm_mean_rt_mix_monkey -0.240809846 0.492905463
## dm_mean_rt -0.296328935 0.512299794
## cancellation_dog_score 0.200908798 -0.418537155
## cancellation_monkey_score 0.226239583 -0.378306758
## cancellation_mix_score 0.143359678 -0.345383417
## forward_span_partial_score 0.186736216 -0.318090938
## forward_span_longest_forward_seq 0.136172954 -0.220143329
## bisbas_bis 0.048802563 -0.020807240
## bisbas_drive -0.115245581 0.094315021
## bisbas_fun_seek -0.110343648 0.177436924
## bisbas_reward_response -0.020801725 -0.004842605
## mini_markers_extra 0.131459045 -0.113792882
## mini_markers_agree 0.034825602 -0.068394631
## mini_markers_conscientiousness 0.038161009 0.063482761
## mini_markers_neuroticism -0.095990545 0.016603365
## mini_markers_open 0.134730534 -0.162982829
## swan_inattentive 0.030127358 0.016272997
## swan_hyperactive 0.054567848 0.010256221
## swan_combined 0.097951551 -0.072778523
## flanker_mean_error_rate
## id 0.0940859070
## axcpt_proactive_control 0.0898598199
## axcpt_ax_mean_rt -0.0193498713
## axcpt_ay_mean_rt -0.0493103865
## axcpt_bx_mean_rt -0.0985096018
## axcpt_by_mean_rt -0.1051880831
## axcpt_ax_accuracy -0.0241647251
## axcpt_ay_accuracy -0.0735195967
## axcpt_bx_accuracy -0.0160238521
## axcpt_by_accuracy -0.0019363827
## axcpt_mean_rt -0.0833581205
## axcpt_mean_accuracy -0.0434229126
## antisaccade_error_rate -0.0231586182
## antisaccade_mean_rt -0.0809899311
## antisaccade_rt_sd -0.0180639079
## flanker_error_rate_congruent 0.7708694678
## flanker_mean_rt_congruent 0.0650778994
## flanker_error_rate_incongruent 0.9729356678
## flanker_mean_rt_incongruent 0.1474796278
## flanker_rt_switchcost -0.1857824585
## flanker_mean_rt 0.1166305335
## flanker_mean_error_rate 1.0000000000
## stroop_mean_rt_congruent -0.0355991459
## stroop_mean_rt_incongruent -0.0350683324
## stroop_error_rate_congruent 0.2688739645
## stroop_error_rate_incongruent 0.1961118407
## stroop_mean_rt_switchcost 0.0347938468
## stroop_mean_rt -0.0353407762
## stroop_mean_error_rate 0.2470553805
## catswitch_accuracy_switch -0.0813321064
## catswitch_accuracy_nonswitch -0.1277704201
## catswitch_mean_rt_switch -0.0714735312
## catswitch_mean_rt_nonswitch -0.0664034549
## catswitch_rt_switchcost -0.0440740574
## catswitch_mean_rt -0.0744430033
## catswitch_accuracy -0.1136779072
## updating_accuracy 0.0273735202
## updating_num_correct 0.0265812549
## updating_mean_rt 0.0406221674
## supps_total 0.0234532711
## supps_neg_urgency -0.0397310388
## supps_lack_premed 0.0074325262
## supps_lack_pers 0.0520753891
## supps_sen_seek 0.0640151736
## supps_pos_urgency -0.0088799805
## tova_accuracy -0.1126869512
## tova_mean_rt 0.0182118509
## tova_rt_variability 0.0407552964
## tova_mean_rt_infrequent 0.0482070750
## tova_rt_variability_infrequent 0.0149322531
## tova_accuracy_infrequent -0.1855419695
## tova_mean_rt_frequent 0.0091548474
## tova_rt_variability_frequent 0.0358595080
## tova_accuracy_frequent -0.0237837211
## tova_rt_variability_switchcost -0.0294067458
## tova_false_alarm_frequent 0.1358087611
## tova_misses_infrequent 0.1855419695
## dm_accuracy_dog -0.0012617383
## dm_accuracy_monkey -0.0801373600
## dm_accuracy -0.2121383198
## dm_mean_rt_dogs 0.4024704232
## dm_mean_rt_monkey 0.1461672972
## dm_mix_accuracy -0.2432614637
## dm_mean_rt_mix_dog 0.1198703545
## dm_mean_rt_mix_monkey 0.0309121801
## dm_mean_rt 0.1917160299
## cancellation_dog_score -0.0782601092
## cancellation_monkey_score -0.0848016107
## cancellation_mix_score -0.1034263358
## forward_span_partial_score -0.1574706415
## forward_span_longest_forward_seq -0.1607261978
## bisbas_bis 0.0776684863
## bisbas_drive -0.0662054430
## bisbas_fun_seek -0.1194468567
## bisbas_reward_response -0.1189187532
## mini_markers_extra 0.0500522304
## mini_markers_agree 0.0684376613
## mini_markers_conscientiousness -0.0006032121
## mini_markers_neuroticism 0.0254445545
## mini_markers_open 0.0139720612
## swan_inattentive 0.0370816594
## swan_hyperactive 0.0666028123
## swan_combined -0.0479163200
## stroop_mean_rt_congruent
## id -0.103945914
## axcpt_proactive_control -0.125247013
## axcpt_ax_mean_rt 0.014490887
## axcpt_ay_mean_rt 0.051006890
## axcpt_bx_mean_rt 0.129758286
## axcpt_by_mean_rt 0.117237262
## axcpt_ax_accuracy -0.035629608
## axcpt_ay_accuracy 0.004419268
## axcpt_bx_accuracy -0.009756334
## axcpt_by_accuracy 0.052750030
## axcpt_mean_rt 0.097251381
## axcpt_mean_accuracy 0.005597073
## antisaccade_error_rate 0.019370791
## antisaccade_mean_rt 0.015090130
## antisaccade_rt_sd -0.012376536
## flanker_error_rate_congruent -0.005561960
## flanker_mean_rt_congruent 0.081366751
## flanker_error_rate_incongruent -0.042573007
## flanker_mean_rt_incongruent 0.044351327
## flanker_rt_switchcost 0.030172505
## flanker_mean_rt 0.062417459
## flanker_mean_error_rate -0.035599146
## stroop_mean_rt_congruent 1.000000000
## stroop_mean_rt_incongruent -0.003354331
## stroop_error_rate_congruent -0.130012541
## stroop_error_rate_incongruent -0.135972533
## stroop_mean_rt_switchcost 0.011010428
## stroop_mean_rt 0.004302357
## stroop_mean_error_rate -0.142640111
## catswitch_accuracy_switch -0.068767901
## catswitch_accuracy_nonswitch -0.030296146
## catswitch_mean_rt_switch 0.064402607
## catswitch_mean_rt_nonswitch -0.001753561
## catswitch_rt_switchcost 0.094523294
## catswitch_mean_rt 0.041933055
## catswitch_accuracy -0.054425436
## updating_accuracy -0.090406160
## updating_num_correct -0.091620536
## updating_mean_rt 0.101215925
## supps_total 0.005533666
## supps_neg_urgency 0.019200599
## supps_lack_premed 0.017659378
## supps_lack_pers -0.099488050
## supps_sen_seek 0.039704249
## supps_pos_urgency 0.005665105
## tova_accuracy -0.051513110
## tova_mean_rt -0.064682509
## tova_rt_variability -0.039126637
## tova_mean_rt_infrequent -0.038902924
## tova_rt_variability_infrequent -0.075179952
## tova_accuracy_infrequent -0.067586646
## tova_mean_rt_frequent -0.068540785
## tova_rt_variability_frequent -0.031954222
## tova_accuracy_frequent -0.024916144
## tova_rt_variability_switchcost -0.032399857
## tova_false_alarm_frequent 0.050165230
## tova_misses_infrequent 0.067586646
## dm_accuracy_dog 0.014901491
## dm_accuracy_monkey -0.022951687
## dm_accuracy -0.039929611
## dm_mean_rt_dogs -0.019898087
## dm_mean_rt_monkey -0.003941420
## dm_mix_accuracy -0.045734281
## dm_mean_rt_mix_dog 0.032634397
## dm_mean_rt_mix_monkey 0.069711794
## dm_mean_rt 0.027307468
## cancellation_dog_score -0.098471963
## cancellation_monkey_score -0.092647765
## cancellation_mix_score -0.086008460
## forward_span_partial_score 0.025178361
## forward_span_longest_forward_seq -0.018058500
## bisbas_bis -0.078003108
## bisbas_drive -0.033631090
## bisbas_fun_seek -0.053198818
## bisbas_reward_response -0.092182698
## mini_markers_extra 0.057092060
## mini_markers_agree 0.108661307
## mini_markers_conscientiousness 0.011146198
## mini_markers_neuroticism -0.022164933
## mini_markers_open 0.056659314
## swan_inattentive -0.012696491
## swan_hyperactive -0.040849633
## swan_combined -0.119983738
## stroop_mean_rt_incongruent
## id 0.103445615
## axcpt_proactive_control -0.099080888
## axcpt_ax_mean_rt 0.084874956
## axcpt_ay_mean_rt -0.009616192
## axcpt_bx_mean_rt 0.071646638
## axcpt_by_mean_rt 0.056186784
## axcpt_ax_accuracy 0.032846521
## axcpt_ay_accuracy 0.035275309
## axcpt_bx_accuracy 0.042652796
## axcpt_by_accuracy 0.027267953
## axcpt_mean_rt 0.059097164
## axcpt_mean_accuracy 0.042516838
## antisaccade_error_rate -0.052147598
## antisaccade_mean_rt 0.140710634
## antisaccade_rt_sd 0.211073529
## flanker_error_rate_congruent -0.021452301
## flanker_mean_rt_congruent 0.077376504
## flanker_error_rate_incongruent -0.036143729
## flanker_mean_rt_incongruent 0.142632388
## flanker_rt_switchcost -0.159573991
## flanker_mean_rt 0.119185501
## flanker_mean_error_rate -0.035068332
## stroop_mean_rt_congruent -0.003354331
## stroop_mean_rt_incongruent 1.000000000
## stroop_error_rate_congruent -0.020443461
## stroop_error_rate_incongruent -0.010351705
## stroop_mean_rt_switchcost -0.999970691
## stroop_mean_rt 0.999970688
## stroop_mean_error_rate -0.016216038
## catswitch_accuracy_switch 0.057404272
## catswitch_accuracy_nonswitch 0.034188655
## catswitch_mean_rt_switch -0.009138011
## catswitch_mean_rt_nonswitch 0.034265820
## catswitch_rt_switchcost -0.043684995
## catswitch_mean_rt 0.007938762
## catswitch_accuracy 0.050204460
## updating_accuracy 0.019977595
## updating_num_correct 0.021691583
## updating_mean_rt -0.052643808
## supps_total -0.119899300
## supps_neg_urgency -0.094298771
## supps_lack_premed -0.034780872
## supps_lack_pers -0.082880197
## supps_sen_seek -0.094978860
## supps_pos_urgency -0.036278072
## tova_accuracy 0.035804377
## tova_mean_rt 0.015316987
## tova_rt_variability -0.011652185
## tova_mean_rt_infrequent -0.039740598
## tova_rt_variability_infrequent -0.035439068
## tova_accuracy_infrequent 0.027958264
## tova_mean_rt_frequent 0.030655768
## tova_rt_variability_frequent 0.002940767
## tova_accuracy_frequent 0.024241729
## tova_rt_variability_switchcost -0.037137663
## tova_false_alarm_frequent -0.020490815
## tova_misses_infrequent -0.027958264
## dm_accuracy_dog 0.009561062
## dm_accuracy_monkey 0.017518449
## dm_accuracy 0.056936111
## dm_mean_rt_dogs -0.065162739
## dm_mean_rt_monkey -0.052583667
## dm_mix_accuracy 0.064917172
## dm_mean_rt_mix_dog -0.005044428
## dm_mean_rt_mix_monkey 0.005065353
## dm_mean_rt -0.030845962
## cancellation_dog_score -0.011440821
## cancellation_monkey_score 0.051824501
## cancellation_mix_score 0.027428343
## forward_span_partial_score 0.154912281
## forward_span_longest_forward_seq 0.139667731
## bisbas_bis -0.006331140
## bisbas_drive 0.084003868
## bisbas_fun_seek -0.062630183
## bisbas_reward_response -0.018980073
## mini_markers_extra -0.025376232
## mini_markers_agree 0.050387726
## mini_markers_conscientiousness 0.035736693
## mini_markers_neuroticism 0.005938617
## mini_markers_open 0.032724339
## swan_inattentive 0.020808976
## swan_hyperactive -0.007756311
## swan_combined -0.011800145
## stroop_error_rate_congruent
## id -0.013051683
## axcpt_proactive_control 0.047016456
## axcpt_ax_mean_rt -0.040960575
## axcpt_ay_mean_rt -0.001502031
## axcpt_bx_mean_rt -0.037082194
## axcpt_by_mean_rt -0.054784223
## axcpt_ax_accuracy 0.040566922
## axcpt_ay_accuracy -0.059963388
## axcpt_bx_accuracy 0.055482039
## axcpt_by_accuracy 0.008381112
## axcpt_mean_rt -0.039508159
## axcpt_mean_accuracy 0.010457311
## antisaccade_error_rate 0.043852220
## antisaccade_mean_rt -0.067501963
## antisaccade_rt_sd -0.071185652
## flanker_error_rate_congruent 0.231004481
## flanker_mean_rt_congruent -0.128019123
## flanker_error_rate_incongruent 0.252985945
## flanker_mean_rt_incongruent -0.100684254
## flanker_rt_switchcost 0.010445069
## flanker_mean_rt -0.116610511
## flanker_mean_error_rate 0.268873964
## stroop_mean_rt_congruent -0.130012541
## stroop_mean_rt_incongruent -0.020443461
## stroop_error_rate_congruent 1.000000000
## stroop_error_rate_incongruent 0.741946350
## stroop_mean_rt_switchcost 0.019446924
## stroop_mean_rt -0.021438851
## stroop_mean_error_rate 0.925929957
## catswitch_accuracy_switch -0.114608209
## catswitch_accuracy_nonswitch -0.177836245
## catswitch_mean_rt_switch -0.044007486
## catswitch_mean_rt_nonswitch -0.026926787
## catswitch_rt_switchcost -0.039559838
## catswitch_mean_rt -0.040136622
## catswitch_accuracy -0.159002667
## updating_accuracy 0.086596044
## updating_num_correct 0.086258534
## updating_mean_rt -0.055776527
## supps_total 0.113390217
## supps_neg_urgency 0.014979065
## supps_lack_premed 0.060611600
## supps_lack_pers 0.141552507
## supps_sen_seek 0.031342363
## supps_pos_urgency 0.115928457
## tova_accuracy -0.039479726
## tova_mean_rt -0.039662856
## tova_rt_variability 0.010145619
## tova_mean_rt_infrequent -0.019131581
## tova_rt_variability_infrequent 0.039044583
## tova_accuracy_infrequent -0.223011554
## tova_mean_rt_frequent -0.041103240
## tova_rt_variability_frequent 0.006094001
## tova_accuracy_frequent -0.028245114
## tova_rt_variability_switchcost 0.029580290
## tova_false_alarm_frequent -0.037408055
## tova_misses_infrequent 0.223011554
## dm_accuracy_dog 0.034274944
## dm_accuracy_monkey -0.054690623
## dm_accuracy -0.023819743
## dm_mean_rt_dogs 0.051725549
## dm_mean_rt_monkey 0.068358785
## dm_mix_accuracy 0.004616388
## dm_mean_rt_mix_dog 0.062827062
## dm_mean_rt_mix_monkey 0.018763415
## dm_mean_rt 0.057972256
## cancellation_dog_score 0.086276141
## cancellation_monkey_score 0.116252036
## cancellation_mix_score 0.031807904
## forward_span_partial_score 0.038631530
## forward_span_longest_forward_seq 0.028091364
## bisbas_bis 0.164049783
## bisbas_drive -0.077742941
## bisbas_fun_seek -0.094553946
## bisbas_reward_response 0.018839037
## mini_markers_extra 0.006873049
## mini_markers_agree -0.072658052
## mini_markers_conscientiousness -0.053786089
## mini_markers_neuroticism -0.017261383
## mini_markers_open 0.021848190
## swan_inattentive -0.027871670
## swan_hyperactive 0.063951508
## swan_combined -0.016742732
## stroop_error_rate_incongruent
## id -0.013539518
## axcpt_proactive_control -0.012636371
## axcpt_ax_mean_rt -0.065832861
## axcpt_ay_mean_rt -0.014337719
## axcpt_bx_mean_rt -0.004259669
## axcpt_by_mean_rt -0.016015098
## axcpt_ax_accuracy -0.134390537
## axcpt_ay_accuracy -0.100810945
## axcpt_bx_accuracy -0.047827173
## axcpt_by_accuracy -0.069515077
## axcpt_mean_rt -0.025297857
## axcpt_mean_accuracy -0.090999786
## antisaccade_error_rate 0.122672491
## antisaccade_mean_rt 0.069343186
## antisaccade_rt_sd 0.064991994
## flanker_error_rate_congruent 0.153807740
## flanker_mean_rt_congruent 0.016913487
## flanker_error_rate_incongruent 0.189849741
## flanker_mean_rt_incongruent 0.039524079
## flanker_rt_switchcost -0.050523155
## flanker_mean_rt 0.031023350
## flanker_mean_error_rate 0.196111841
## stroop_mean_rt_congruent -0.135972533
## stroop_mean_rt_incongruent -0.010351705
## stroop_error_rate_congruent 0.741946350
## stroop_error_rate_incongruent 1.000000000
## stroop_mean_rt_switchcost 0.009310092
## stroop_mean_rt -0.011392765
## stroop_mean_error_rate 0.940219639
## catswitch_accuracy_switch -0.147339984
## catswitch_accuracy_nonswitch -0.269057135
## catswitch_mean_rt_switch 0.004782389
## catswitch_mean_rt_nonswitch -0.002501382
## catswitch_rt_switchcost 0.009129285
## catswitch_mean_rt 0.002145743
## catswitch_accuracy -0.226097506
## updating_accuracy 0.044728343
## updating_num_correct 0.043035420
## updating_mean_rt 0.021526065
## supps_total 0.122024240
## supps_neg_urgency 0.064808050
## supps_lack_premed 0.041313875
## supps_lack_pers 0.069632380
## supps_sen_seek 0.032794455
## supps_pos_urgency 0.151166737
## tova_accuracy -0.188561929
## tova_mean_rt 0.039477479
## tova_rt_variability 0.186846932
## tova_mean_rt_infrequent 0.051571126
## tova_rt_variability_infrequent 0.213578213
## tova_accuracy_infrequent -0.276640749
## tova_mean_rt_frequent 0.035150273
## tova_rt_variability_frequent 0.173489204
## tova_accuracy_frequent -0.132066879
## tova_rt_variability_switchcost -0.008404125
## tova_false_alarm_frequent 0.110534924
## tova_misses_infrequent 0.276640749
## dm_accuracy_dog -0.102504221
## dm_accuracy_monkey -0.057444255
## dm_accuracy -0.103651141
## dm_mean_rt_dogs 0.069015938
## dm_mean_rt_monkey 0.081140415
## dm_mix_accuracy -0.073802793
## dm_mean_rt_mix_dog 0.165461676
## dm_mean_rt_mix_monkey 0.114376258
## dm_mean_rt 0.130341619
## cancellation_dog_score -0.044756919
## cancellation_monkey_score -0.020347265
## cancellation_mix_score -0.097633034
## forward_span_partial_score -0.103724048
## forward_span_longest_forward_seq -0.085227267
## bisbas_bis 0.058791001
## bisbas_drive -0.128470790
## bisbas_fun_seek -0.063083997
## bisbas_reward_response -0.027842639
## mini_markers_extra 0.058807498
## mini_markers_agree -0.052002276
## mini_markers_conscientiousness -0.098359336
## mini_markers_neuroticism 0.053917576
## mini_markers_open -0.077211593
## swan_inattentive 0.005864121
## swan_hyperactive 0.084783461
## swan_combined -0.019234645
## stroop_mean_rt_switchcost stroop_mean_rt
## id -0.104235766 0.102649360
## axcpt_proactive_control 0.098116513 -0.100039504
## axcpt_ax_mean_rt -0.084759343 0.084985600
## axcpt_ay_mean_rt 0.010006186 -0.009225614
## axcpt_bx_mean_rt -0.070649232 0.072639895
## axcpt_by_mean_rt -0.055286093 0.057084228
## axcpt_ax_accuracy -0.033117505 0.032573597
## axcpt_ay_accuracy -0.035239534 0.035309018
## axcpt_bx_accuracy -0.042725148 0.042577940
## axcpt_by_accuracy -0.026862585 0.027671744
## axcpt_mean_rt -0.058349330 0.059841572
## axcpt_mean_accuracy -0.042471648 0.042559539
## antisaccade_error_rate 0.052293039 -0.051999093
## antisaccade_mean_rt -0.140587362 0.140825664
## antisaccade_rt_sd -0.211156681 0.210978000
## flanker_error_rate_congruent 0.021408538 -0.021494810
## flanker_mean_rt_congruent -0.076749282 0.077999222
## flanker_error_rate_incongruent 0.035815790 -0.036469565
## flanker_mean_rt_incongruent -0.142284978 0.142971454
## flanker_rt_switchcost 0.159796225 -0.159342391
## flanker_mean_rt -0.118701061 0.119662978
## flanker_mean_error_rate 0.034793847 -0.035340776
## stroop_mean_rt_congruent 0.011010428 0.004302357
## stroop_mean_rt_incongruent -0.999970691 0.999970688
## stroop_error_rate_congruent 0.019446924 -0.021438851
## stroop_error_rate_incongruent 0.009310092 -0.011392765
## stroop_mean_rt_switchcost 1.000000000 -0.999882758
## stroop_mean_rt -0.999882758 1.000000000
## stroop_mean_error_rate 0.015123054 -0.017308129
## catswitch_accuracy_switch -0.057927621 0.056877530
## catswitch_accuracy_nonswitch -0.034418730 0.033956563
## catswitch_mean_rt_switch 0.009630593 -0.008644868
## catswitch_mean_rt_nonswitch -0.034277362 0.034252269
## catswitch_rt_switchcost 0.044406290 -0.042961102
## catswitch_mean_rt -0.007617274 0.008259801
## catswitch_accuracy -0.050618395 0.049787560
## updating_accuracy -0.020668671 0.019285312
## updating_num_correct -0.022391863 0.020989996
## updating_mean_rt 0.053415851 -0.051868640
## supps_total 0.119935074 -0.119856495
## supps_neg_urgency 0.094440590 -0.094151416
## supps_lack_premed 0.034914164 -0.034645533
## supps_lack_pers 0.082113931 -0.083641644
## supps_sen_seek 0.095277624 -0.094674512
## supps_pos_urgency 0.036319451 -0.036234565
## tova_accuracy -0.036196807 0.035409828
## tova_mean_rt -0.015811372 0.014821678
## tova_rt_variability 0.011351979 -0.011951722
## tova_mean_rt_infrequent 0.039440561 -0.040038321
## tova_rt_variability_infrequent 0.034861520 -0.036014568
## tova_accuracy_infrequent -0.028474189 0.027440674
## tova_mean_rt_frequent -0.031178850 0.030130862
## tova_rt_variability_frequent -0.003185256 0.002696093
## tova_accuracy_frequent -0.024431161 0.024050866
## tova_rt_variability_switchcost 0.036887558 -0.037385604
## tova_false_alarm_frequent 0.020873768 -0.020106642
## tova_misses_infrequent 0.028474189 -0.027440674
## dm_accuracy_dog -0.009446446 0.009675123
## dm_accuracy_monkey -0.017693210 0.017342652
## dm_accuracy -0.057238692 0.056630176
## dm_mean_rt_dogs 0.065006810 -0.065314855
## dm_mean_rt_monkey 0.052550599 -0.052613654
## dm_mix_accuracy -0.065263756 0.064566763
## dm_mean_rt_mix_dog 0.005294008 -0.004794538
## dm_mean_rt_mix_monkey -0.004531341 0.005599095
## dm_mean_rt 0.031053340 -0.030636766
## cancellation_dog_score 0.010686263 -0.012194748
## cancellation_monkey_score -0.052530989 0.051114939
## cancellation_mix_score -0.028085340 0.026769705
## forward_span_partial_score -0.154710989 0.155104501
## forward_span_longest_forward_seq -0.139798311 0.139528956
## bisbas_bis 0.005733578 -0.006928361
## bisbas_drive -0.084256737 0.083746060
## bisbas_fun_seek 0.062219434 -0.063037282
## bisbas_reward_response 0.018273253 -0.019685817
## mini_markers_extra 0.025811949 -0.024939004
## mini_markers_agree -0.049553014 0.051219528
## mini_markers_conscientiousness -0.035649390 0.035821906
## mini_markers_neuroticism -0.006107992 0.005768886
## mini_markers_open -0.032288739 0.033158042
## swan_inattentive -0.020905040 0.020711688
## swan_hyperactive 0.007443128 -0.008069055
## swan_combined 0.010880867 -0.012718779
## stroop_mean_error_rate
## id -0.0142571026
## axcpt_proactive_control 0.0167640834
## axcpt_ax_mean_rt -0.0578926297
## axcpt_ay_mean_rt -0.0088399608
## axcpt_bx_mean_rt -0.0212360274
## axcpt_by_mean_rt -0.0368502895
## axcpt_ax_accuracy -0.0551008077
## axcpt_ay_accuracy -0.0872498486
## axcpt_bx_accuracy 0.0012399676
## axcpt_by_accuracy -0.0349031973
## axcpt_mean_rt -0.0343199420
## axcpt_mean_accuracy -0.0459517203
## antisaccade_error_rate 0.0913814093
## antisaccade_mean_rt 0.0047751418
## antisaccade_rt_sd 0.0004527711
## flanker_error_rate_congruent 0.2039875600
## flanker_mean_rt_congruent -0.0555010019
## flanker_error_rate_incongruent 0.2354571702
## flanker_mean_rt_incongruent -0.0288784834
## flanker_rt_switchcost -0.0231559082
## flanker_mean_rt -0.0417572220
## flanker_mean_error_rate 0.2470553805
## stroop_mean_rt_congruent -0.1426401113
## stroop_mean_rt_incongruent -0.0162160385
## stroop_error_rate_congruent 0.9259299571
## stroop_error_rate_incongruent 0.9402196394
## stroop_mean_rt_switchcost 0.0151230537
## stroop_mean_rt -0.0173081287
## stroop_mean_error_rate 1.0000000000
## catswitch_accuracy_switch -0.1412189936
## catswitch_accuracy_nonswitch -0.2419044273
## catswitch_mean_rt_switch -0.0196600846
## catswitch_mean_rt_nonswitch -0.0150869433
## catswitch_rt_switchcost -0.0149520707
## catswitch_mean_rt -0.0191791510
## catswitch_accuracy -0.2081368636
## updating_accuracy 0.0691847928
## updating_num_correct 0.0680596622
## updating_mean_rt -0.0162059742
## supps_total 0.1263389749
## supps_neg_urgency 0.0441176616
## supps_lack_premed 0.0540621486
## supps_lack_pers 0.1111300523
## supps_sen_seek 0.0343951365
## supps_pos_urgency 0.1440453873
## tova_accuracy -0.1262783771
## tova_mean_rt 0.0020918946
## tova_rt_variability 0.1104116041
## tova_mean_rt_infrequent 0.0193338411
## tova_rt_variability_infrequent 0.1401499665
## tova_accuracy_infrequent -0.2691239649
## tova_mean_rt_frequent -0.0010774479
## tova_rt_variability_frequent 0.1008286131
## tova_accuracy_frequent -0.0887457904
## tova_rt_variability_switchcost 0.0102913369
## tova_false_alarm_frequent 0.0432666195
## tova_misses_infrequent 0.2691239649
## dm_accuracy_dog -0.0403341239
## dm_accuracy_monkey -0.0601413679
## dm_accuracy -0.0704901949
## dm_mean_rt_dogs 0.0651539895
## dm_mean_rt_monkey 0.0804332430
## dm_mix_accuracy -0.0392309716
## dm_mean_rt_mix_dog 0.1251247122
## dm_mean_rt_mix_monkey 0.0739636337
## dm_mean_rt 0.1028741820
## cancellation_dog_score 0.0186118328
## cancellation_monkey_score 0.0475893757
## cancellation_mix_score -0.0388431640
## forward_span_partial_score -0.0388083120
## forward_span_longest_forward_seq -0.0337423877
## bisbas_bis 0.1164504789
## bisbas_drive -0.1118630548
## bisbas_fun_seek -0.0835675544
## bisbas_reward_response -0.0061152812
## mini_markers_extra 0.0366197625
## mini_markers_agree -0.0662024881
## mini_markers_conscientiousness -0.0827309233
## mini_markers_neuroticism 0.0216056773
## mini_markers_open -0.0323981568
## swan_inattentive -0.0108543019
## swan_hyperactive 0.0802467749
## swan_combined -0.0193403021
## catswitch_accuracy_switch
## id -0.015268349
## axcpt_proactive_control -0.087171172
## axcpt_ax_mean_rt 0.072443270
## axcpt_ay_mean_rt 0.048912547
## axcpt_bx_mean_rt 0.075011622
## axcpt_by_mean_rt -0.080025636
## axcpt_ax_accuracy 0.288941950
## axcpt_ay_accuracy 0.239331724
## axcpt_bx_accuracy 0.194954282
## axcpt_by_accuracy 0.199343390
## axcpt_mean_rt 0.030904800
## axcpt_mean_accuracy 0.263539685
## antisaccade_error_rate -0.283737099
## antisaccade_mean_rt -0.018943746
## antisaccade_rt_sd 0.067037819
## flanker_error_rate_congruent 0.005028110
## flanker_mean_rt_congruent -0.033924622
## flanker_error_rate_incongruent -0.103698719
## flanker_mean_rt_incongruent -0.067641645
## flanker_rt_switchcost 0.079533160
## flanker_mean_rt -0.055296486
## flanker_mean_error_rate -0.081332106
## stroop_mean_rt_congruent -0.068767901
## stroop_mean_rt_incongruent 0.057404272
## stroop_error_rate_congruent -0.114608209
## stroop_error_rate_incongruent -0.147339984
## stroop_mean_rt_switchcost -0.057927621
## stroop_mean_rt 0.056877530
## stroop_mean_error_rate -0.141218994
## catswitch_accuracy_switch 1.000000000
## catswitch_accuracy_nonswitch 0.678711137
## catswitch_mean_rt_switch 0.082361433
## catswitch_mean_rt_nonswitch 0.162902661
## catswitch_rt_switchcost -0.026088446
## catswitch_mean_rt 0.121052307
## catswitch_accuracy 0.919163617
## updating_accuracy 0.172458704
## updating_num_correct 0.174420580
## updating_mean_rt -0.142708971
## supps_total -0.047656247
## supps_neg_urgency -0.047811416
## supps_lack_premed 0.006344978
## supps_lack_pers 0.027752097
## supps_sen_seek -0.045092249
## supps_pos_urgency -0.054129876
## tova_accuracy 0.102195166
## tova_mean_rt -0.011790101
## tova_rt_variability -0.094039085
## tova_mean_rt_infrequent -0.059037521
## tova_rt_variability_infrequent -0.086291093
## tova_accuracy_infrequent 0.031393526
## tova_mean_rt_frequent 0.003482178
## tova_rt_variability_frequent -0.074878398
## tova_accuracy_frequent -0.001463447
## tova_rt_variability_switchcost 0.009205811
## tova_false_alarm_frequent -0.256609729
## tova_misses_infrequent -0.031393526
## dm_accuracy_dog 0.028505522
## dm_accuracy_monkey -0.090002810
## dm_accuracy 0.137801583
## dm_mean_rt_dogs -0.015656016
## dm_mean_rt_monkey -0.045515918
## dm_mix_accuracy 0.266867672
## dm_mean_rt_mix_dog -0.158541437
## dm_mean_rt_mix_monkey -0.184553780
## dm_mean_rt -0.128020130
## cancellation_dog_score 0.108805049
## cancellation_monkey_score 0.108568950
## cancellation_mix_score 0.200699915
## forward_span_partial_score 0.211445948
## forward_span_longest_forward_seq 0.180484439
## bisbas_bis -0.049795911
## bisbas_drive 0.045610312
## bisbas_fun_seek 0.060318345
## bisbas_reward_response -0.028555404
## mini_markers_extra -0.017790571
## mini_markers_agree -0.156082447
## mini_markers_conscientiousness -0.058760813
## mini_markers_neuroticism -0.023721078
## mini_markers_open -0.003869102
## swan_inattentive 0.069996168
## swan_hyperactive -0.001818145
## swan_combined 0.083741543
## catswitch_accuracy_nonswitch
## id 0.069203304
## axcpt_proactive_control -0.042279987
## axcpt_ax_mean_rt 0.043064115
## axcpt_ay_mean_rt -0.036687262
## axcpt_bx_mean_rt -0.005662257
## axcpt_by_mean_rt -0.111746255
## axcpt_ax_accuracy 0.293056118
## axcpt_ay_accuracy 0.273210895
## axcpt_bx_accuracy 0.269960617
## axcpt_by_accuracy 0.193187278
## axcpt_mean_rt -0.035359083
## axcpt_mean_accuracy 0.316338932
## antisaccade_error_rate -0.278991338
## antisaccade_mean_rt -0.045508984
## antisaccade_rt_sd 0.038538265
## flanker_error_rate_congruent 0.012454204
## flanker_mean_rt_congruent -0.103002782
## flanker_error_rate_incongruent -0.164560174
## flanker_mean_rt_incongruent -0.183359812
## flanker_rt_switchcost 0.200220969
## flanker_mean_rt -0.154780747
## flanker_mean_error_rate -0.127770420
## stroop_mean_rt_congruent -0.030296146
## stroop_mean_rt_incongruent 0.034188655
## stroop_error_rate_congruent -0.177836245
## stroop_error_rate_incongruent -0.269057135
## stroop_mean_rt_switchcost -0.034418730
## stroop_mean_rt 0.033956563
## stroop_mean_error_rate -0.241904427
## catswitch_accuracy_switch 0.678711137
## catswitch_accuracy_nonswitch 1.000000000
## catswitch_mean_rt_switch 0.203091485
## catswitch_mean_rt_nonswitch 0.177563263
## catswitch_rt_switchcost 0.135133716
## catswitch_mean_rt 0.206988431
## catswitch_accuracy 0.913111164
## updating_accuracy 0.079788775
## updating_num_correct 0.080529059
## updating_mean_rt -0.078241646
## supps_total 0.008155543
## supps_neg_urgency 0.005466269
## supps_lack_premed 0.104446387
## supps_lack_pers -0.003775413
## supps_sen_seek -0.041528147
## supps_pos_urgency -0.014704976
## tova_accuracy 0.165920609
## tova_mean_rt -0.022902694
## tova_rt_variability -0.112473173
## tova_mean_rt_infrequent -0.082403054
## tova_rt_variability_infrequent -0.133298073
## tova_accuracy_infrequent 0.134761529
## tova_mean_rt_frequent -0.003953619
## tova_rt_variability_frequent -0.079003079
## tova_accuracy_frequent 0.042039503
## tova_rt_variability_switchcost -0.030307746
## tova_false_alarm_frequent -0.270561182
## tova_misses_infrequent -0.134761529
## dm_accuracy_dog 0.006405963
## dm_accuracy_monkey -0.013710889
## dm_accuracy 0.203256310
## dm_mean_rt_dogs -0.121858607
## dm_mean_rt_monkey -0.141090811
## dm_mix_accuracy 0.313753275
## dm_mean_rt_mix_dog -0.268215701
## dm_mean_rt_mix_monkey -0.262467264
## dm_mean_rt -0.241913292
## cancellation_dog_score 0.118918580
## cancellation_monkey_score 0.161244885
## cancellation_mix_score 0.231048991
## forward_span_partial_score 0.242441905
## forward_span_longest_forward_seq 0.206912103
## bisbas_bis -0.026770278
## bisbas_drive 0.061786624
## bisbas_fun_seek 0.002532746
## bisbas_reward_response -0.052442499
## mini_markers_extra -0.041167610
## mini_markers_agree -0.146862145
## mini_markers_conscientiousness -0.070799551
## mini_markers_neuroticism 0.036319623
## mini_markers_open 0.005748867
## swan_inattentive -0.006103167
## swan_hyperactive 0.050922900
## swan_combined 0.058854334
## catswitch_mean_rt_switch
## id 0.011394167
## axcpt_proactive_control -0.051625899
## axcpt_ax_mean_rt 0.111755639
## axcpt_ay_mean_rt 0.261292702
## axcpt_bx_mean_rt 0.200020274
## axcpt_by_mean_rt 0.111356644
## axcpt_ax_accuracy -0.024967140
## axcpt_ay_accuracy -0.010969810
## axcpt_bx_accuracy -0.007596319
## axcpt_by_accuracy 0.042386335
## axcpt_mean_rt 0.196137841
## axcpt_mean_accuracy -0.003060568
## antisaccade_error_rate 0.089565454
## antisaccade_mean_rt 0.212980724
## antisaccade_rt_sd 0.269958571
## flanker_error_rate_congruent 0.091993077
## flanker_mean_rt_congruent 0.176846743
## flanker_error_rate_incongruent -0.122897577
## flanker_mean_rt_incongruent 0.145422826
## flanker_rt_switchcost -0.026304674
## flanker_mean_rt 0.164860766
## flanker_mean_error_rate -0.071473531
## stroop_mean_rt_congruent 0.064402607
## stroop_mean_rt_incongruent -0.009138011
## stroop_error_rate_congruent -0.044007486
## stroop_error_rate_incongruent 0.004782389
## stroop_mean_rt_switchcost 0.009630593
## stroop_mean_rt -0.008644868
## stroop_mean_error_rate -0.019660085
## catswitch_accuracy_switch 0.082361433
## catswitch_accuracy_nonswitch 0.203091485
## catswitch_mean_rt_switch 1.000000000
## catswitch_mean_rt_nonswitch 0.730026068
## catswitch_rt_switchcost 0.793780673
## catswitch_mean_rt 0.960282663
## catswitch_accuracy 0.154645504
## updating_accuracy 0.024285348
## updating_num_correct 0.021459733
## updating_mean_rt 0.194764650
## supps_total 0.071366077
## supps_neg_urgency 0.053015623
## supps_lack_premed -0.006618693
## supps_lack_pers -0.073694542
## supps_sen_seek 0.096275837
## supps_pos_urgency 0.088473677
## tova_accuracy -0.076664852
## tova_mean_rt 0.184059184
## tova_rt_variability 0.111126058
## tova_mean_rt_infrequent 0.157461905
## tova_rt_variability_infrequent 0.025070527
## tova_accuracy_infrequent -0.121745545
## tova_mean_rt_frequent 0.184427457
## tova_rt_variability_frequent 0.113115975
## tova_accuracy_frequent -0.071030660
## tova_rt_variability_switchcost -0.113629003
## tova_false_alarm_frequent -0.009545776
## tova_misses_infrequent 0.121745545
## dm_accuracy_dog 0.002428417
## dm_accuracy_monkey 0.002904839
## dm_accuracy 0.103902260
## dm_mean_rt_dogs 0.006658901
## dm_mean_rt_monkey 0.091628775
## dm_mix_accuracy 0.149773810
## dm_mean_rt_mix_dog 0.193670316
## dm_mean_rt_mix_monkey 0.231674021
## dm_mean_rt 0.164855576
## cancellation_dog_score -0.301753674
## cancellation_monkey_score -0.315835421
## cancellation_mix_score -0.298025180
## forward_span_partial_score -0.102868698
## forward_span_longest_forward_seq -0.074568435
## bisbas_bis 0.067366896
## bisbas_drive -0.271415806
## bisbas_fun_seek -0.127860021
## bisbas_reward_response -0.162293565
## mini_markers_extra 0.102497058
## mini_markers_agree 0.105183841
## mini_markers_conscientiousness 0.069729952
## mini_markers_neuroticism -0.018760306
## mini_markers_open 0.111156822
## swan_inattentive -0.026927158
## swan_hyperactive -0.090248682
## swan_combined -0.105541797
## catswitch_mean_rt_nonswitch
## id 1.171713e-02
## axcpt_proactive_control -5.750230e-02
## axcpt_ax_mean_rt 1.783374e-01
## axcpt_ay_mean_rt 2.870931e-01
## axcpt_bx_mean_rt 2.176538e-01
## axcpt_by_mean_rt 1.450394e-01
## axcpt_ax_accuracy 8.335325e-03
## axcpt_ay_accuracy 8.439489e-02
## axcpt_bx_accuracy -1.269289e-02
## axcpt_by_accuracy 7.785823e-02
## axcpt_mean_rt 2.344660e-01
## axcpt_mean_accuracy 4.372695e-02
## antisaccade_error_rate 6.606260e-02
## antisaccade_mean_rt 2.925579e-01
## antisaccade_rt_sd 3.250584e-01
## flanker_error_rate_congruent 1.096960e-01
## flanker_mean_rt_congruent 1.973784e-01
## flanker_error_rate_incongruent -1.229688e-01
## flanker_mean_rt_incongruent 1.638256e-01
## flanker_rt_switchcost -3.220617e-02
## flanker_mean_rt 1.849058e-01
## flanker_mean_error_rate -6.640345e-02
## stroop_mean_rt_congruent -1.753561e-03
## stroop_mean_rt_incongruent 3.426582e-02
## stroop_error_rate_congruent -2.692679e-02
## stroop_error_rate_incongruent -2.501382e-03
## stroop_mean_rt_switchcost -3.427736e-02
## stroop_mean_rt 3.425227e-02
## stroop_mean_error_rate -1.508694e-02
## catswitch_accuracy_switch 1.629027e-01
## catswitch_accuracy_nonswitch 1.775633e-01
## catswitch_mean_rt_switch 7.300261e-01
## catswitch_mean_rt_nonswitch 1.000000e+00
## catswitch_rt_switchcost 1.638222e-01
## catswitch_mean_rt 8.917252e-01
## catswitch_accuracy 1.856673e-01
## updating_accuracy -9.173268e-03
## updating_num_correct -1.052252e-02
## updating_mean_rt 1.863370e-01
## supps_total 1.070742e-02
## supps_neg_urgency 1.971359e-02
## supps_lack_premed -2.959489e-02
## supps_lack_pers -9.864328e-02
## supps_sen_seek 5.369050e-02
## supps_pos_urgency 4.017563e-02
## tova_accuracy -3.390197e-02
## tova_mean_rt 2.281813e-01
## tova_rt_variability 1.091948e-01
## tova_mean_rt_infrequent 1.663838e-01
## tova_rt_variability_infrequent 1.105669e-02
## tova_accuracy_infrequent -1.620025e-01
## tova_mean_rt_frequent 2.370093e-01
## tova_rt_variability_frequent 1.222265e-01
## tova_accuracy_frequent -6.437827e-02
## tova_rt_variability_switchcost -1.379666e-01
## tova_false_alarm_frequent -1.371331e-01
## tova_misses_infrequent 1.620025e-01
## dm_accuracy_dog -2.355342e-04
## dm_accuracy_monkey -7.623201e-02
## dm_accuracy 7.277005e-02
## dm_mean_rt_dogs 6.565528e-05
## dm_mean_rt_monkey 1.382480e-01
## dm_mix_accuracy 1.798194e-01
## dm_mean_rt_mix_dog 2.137530e-01
## dm_mean_rt_mix_monkey 2.248092e-01
## dm_mean_rt 1.797813e-01
## cancellation_dog_score -2.933288e-01
## cancellation_monkey_score -2.979620e-01
## cancellation_mix_score -2.880779e-01
## forward_span_partial_score -1.414790e-01
## forward_span_longest_forward_seq -1.520252e-01
## bisbas_bis 8.430072e-02
## bisbas_drive -2.134844e-01
## bisbas_fun_seek -1.010664e-01
## bisbas_reward_response -1.949953e-01
## mini_markers_extra 9.692825e-02
## mini_markers_agree 2.315294e-02
## mini_markers_conscientiousness 2.658342e-02
## mini_markers_neuroticism 1.154988e-02
## mini_markers_open 7.779101e-02
## swan_inattentive -7.060456e-03
## swan_hyperactive -9.154395e-02
## swan_combined -1.028612e-01
## catswitch_rt_switchcost catswitch_mean_rt
## id 0.0060194705 0.012329416
## axcpt_proactive_control -0.0233462699 -0.057665211
## axcpt_ax_mean_rt 0.0026049277 0.146819641
## axcpt_ay_mean_rt 0.1216696907 0.290249976
## axcpt_bx_mean_rt 0.0950222845 0.221322902
## axcpt_by_mean_rt 0.0316623121 0.132960381
## axcpt_ax_accuracy -0.0434570850 -0.013130682
## axcpt_ay_accuracy -0.0909411322 0.027192587
## axcpt_bx_accuracy 0.0003309462 -0.010212772
## axcpt_by_accuracy -0.0081063006 0.059857538
## axcpt_mean_rt 0.0744562282 0.225616015
## axcpt_mean_accuracy -0.0433323037 0.015826224
## antisaccade_error_rate 0.0704924019 0.086284760
## antisaccade_mean_rt 0.0470697778 0.260487794
## antisaccade_rt_sd 0.1003915507 0.311489369
## flanker_error_rate_congruent 0.0351653963 0.105707183
## flanker_mean_rt_congruent 0.0796161087 0.197698700
## flanker_error_rate_incongruent -0.0679627738 -0.131592010
## flanker_mean_rt_incongruent 0.0641169248 0.163189948
## flanker_rt_switchcost -0.0093081547 -0.030568865
## flanker_mean_rt 0.0734147136 0.184668925
## flanker_mean_error_rate -0.0440740574 -0.074443003
## stroop_mean_rt_congruent 0.0945232942 0.041933055
## stroop_mean_rt_incongruent -0.0436849951 0.007938762
## stroop_error_rate_congruent -0.0395598384 -0.040136622
## stroop_error_rate_incongruent 0.0091292851 0.002145743
## stroop_mean_rt_switchcost 0.0444062898 -0.007617274
## stroop_mean_rt -0.0429611023 0.008259801
## stroop_mean_error_rate -0.0149520707 -0.019179151
## catswitch_accuracy_switch -0.0260884462 0.121052307
## catswitch_accuracy_nonswitch 0.1351337160 0.206988431
## catswitch_mean_rt_switch 0.7937806733 0.960282663
## catswitch_mean_rt_nonswitch 0.1638221547 0.891725211
## catswitch_rt_switchcost 1.0000000000 0.592547206
## catswitch_mean_rt 0.5925472057 1.000000000
## catswitch_accuracy 0.0579916532 0.178215045
## updating_accuracy 0.0432186643 0.012337063
## updating_num_correct 0.0403407542 0.009914993
## updating_mean_rt 0.1153061250 0.205056367
## supps_total 0.0934852419 0.051632053
## supps_neg_urgency 0.0589820769 0.043157001
## supps_lack_premed 0.0167839272 -0.016466178
## supps_lack_pers -0.0185883997 -0.089076811
## supps_sen_seek 0.0911890547 0.085677211
## supps_pos_urgency 0.0919543878 0.074992526
## tova_accuracy -0.0804919976 -0.064610993
## tova_mean_rt 0.0626141266 0.215051306
## tova_rt_variability 0.0632291718 0.118172885
## tova_mean_rt_infrequent 0.0792182009 0.172207009
## tova_rt_variability_infrequent 0.0263485384 0.021116592
## tova_accuracy_infrequent -0.0315620873 -0.146765938
## tova_mean_rt_frequent 0.0552893462 0.218899494
## tova_rt_variability_frequent 0.0545040179 0.124811315
## tova_accuracy_frequent -0.0452370849 -0.073322874
## tova_rt_variability_switchcost -0.0412367547 -0.131577488
## tova_false_alarm_frequent 0.1082616765 -0.062310687
## tova_misses_infrequent 0.0315620873 0.146765938
## dm_accuracy_dog 0.0037149403 0.001511993
## dm_accuracy_monkey 0.0720351536 -0.029200638
## dm_accuracy 0.0852177919 0.098517492
## dm_mean_rt_dogs 0.0095534417 0.004436495
## dm_mean_rt_monkey 0.0092298367 0.117123278
## dm_mix_accuracy 0.0561637933 0.172601308
## dm_mean_rt_mix_dog 0.0893278571 0.215525166
## dm_mean_rt_mix_monkey 0.1343453485 0.245206246
## dm_mean_rt 0.0779677015 0.182573252
## cancellation_dog_score -0.1745241798 -0.319590161
## cancellation_monkey_score -0.1907273638 -0.330807104
## cancellation_mix_score -0.1738152355 -0.314977204
## forward_span_partial_score -0.0225788569 -0.125885788
## forward_span_longest_forward_seq 0.0276570554 -0.111450513
## bisbas_bis 0.0222187436 0.079030650
## bisbas_drive -0.2017895515 -0.266900502
## bisbas_fun_seek -0.0946177628 -0.125935865
## bisbas_reward_response -0.0607299687 -0.187088244
## mini_markers_extra 0.0616900178 0.107450334
## mini_markers_agree 0.1312240995 0.079108322
## mini_markers_conscientiousness 0.0769948191 0.057030487
## mini_markers_neuroticism -0.0373585255 -0.007707911
## mini_markers_open 0.0912211110 0.105371619
## swan_inattentive -0.0325849306 -0.020714503
## swan_hyperactive -0.0488016773 -0.097140830
## swan_combined -0.0608050082 -0.111888958
## catswitch_accuracy updating_accuracy
## id 0.028638744 -0.085430802
## axcpt_proactive_control -0.071069319 -0.099544007
## axcpt_ax_mean_rt 0.063313556 -0.035043295
## axcpt_ay_mean_rt 0.007478076 -0.058515667
## axcpt_bx_mean_rt 0.038606491 0.018663419
## axcpt_by_mean_rt -0.104358537 -0.035335977
## axcpt_ax_accuracy 0.317580033 0.140190297
## axcpt_ay_accuracy 0.279395160 0.205462693
## axcpt_bx_accuracy 0.253015499 0.095193285
## axcpt_by_accuracy 0.214277104 0.061559994
## axcpt_mean_rt -0.001806733 -0.027313738
## axcpt_mean_accuracy 0.315964802 0.164317301
## antisaccade_error_rate -0.307147305 -0.316082290
## antisaccade_mean_rt -0.034924121 -0.186323063
## antisaccade_rt_sd 0.057885378 -0.151542750
## flanker_error_rate_congruent 0.009470826 0.002015159
## flanker_mean_rt_congruent -0.074075915 -0.261804043
## flanker_error_rate_incongruent -0.145825965 0.033556419
## flanker_mean_rt_incongruent -0.135891221 -0.231949658
## flanker_rt_switchcost 0.151535854 0.070174818
## flanker_mean_rt -0.113710201 -0.253985593
## flanker_mean_error_rate -0.113677907 0.027373520
## stroop_mean_rt_congruent -0.054425436 -0.090406160
## stroop_mean_rt_incongruent 0.050204460 0.019977595
## stroop_error_rate_congruent -0.159002667 0.086596044
## stroop_error_rate_incongruent -0.226097506 0.044728343
## stroop_mean_rt_switchcost -0.050618395 -0.020668671
## stroop_mean_rt 0.049787560 0.019285312
## stroop_mean_error_rate -0.208136864 0.069184793
## catswitch_accuracy_switch 0.919163617 0.172458704
## catswitch_accuracy_nonswitch 0.913111164 0.079788775
## catswitch_mean_rt_switch 0.154645504 0.024285348
## catswitch_mean_rt_nonswitch 0.185667293 -0.009173268
## catswitch_rt_switchcost 0.057991653 0.043218664
## catswitch_mean_rt 0.178215045 0.012337063
## catswitch_accuracy 1.000000000 0.138534035
## updating_accuracy 0.138534035 1.000000000
## updating_num_correct 0.140020214 0.999836170
## updating_mean_rt -0.121188490 -0.136850277
## supps_total -0.022082749 -0.037425978
## supps_neg_urgency -0.023611203 -0.180059887
## supps_lack_premed 0.059539101 0.021048710
## supps_lack_pers 0.013381959 0.001670136
## supps_sen_seek -0.047305660 0.072474448
## supps_pos_urgency -0.037937176 -0.011765216
## tova_accuracy 0.145720884 0.204735419
## tova_mean_rt -0.018828526 -0.082731674
## tova_rt_variability -0.112528071 -0.220924017
## tova_mean_rt_infrequent -0.076969495 -0.091154734
## tova_rt_variability_infrequent -0.119395515 -0.186838333
## tova_accuracy_infrequent 0.089703594 0.071464064
## tova_mean_rt_frequent -0.000187246 -0.074103304
## tova_rt_variability_frequent -0.083940205 -0.203301011
## tova_accuracy_frequent 0.021734163 0.112337010
## tova_rt_variability_switchcost -0.011143960 0.069936083
## tova_false_alarm_frequent -0.287566083 -0.228972258
## tova_misses_infrequent -0.089703594 -0.071464064
## dm_accuracy_dog 0.019260699 -0.020139807
## dm_accuracy_monkey -0.057319159 -0.095896979
## dm_accuracy 0.185511922 -0.035355512
## dm_mean_rt_dogs -0.074046708 -0.102206306
## dm_mean_rt_monkey -0.100938265 -0.149433714
## dm_mix_accuracy 0.316425620 0.027127817
## dm_mean_rt_mix_dog -0.231864800 -0.222878137
## dm_mean_rt_mix_monkey -0.243222751 -0.243843811
## dm_mean_rt -0.200814169 -0.218392543
## cancellation_dog_score 0.124182305 0.202604525
## cancellation_monkey_score 0.146751658 0.138365139
## cancellation_mix_score 0.235336166 0.222713520
## forward_span_partial_score 0.247412150 0.216833916
## forward_span_longest_forward_seq 0.211168307 0.308884334
## bisbas_bis -0.042001999 -0.046428238
## bisbas_drive 0.058458284 0.084272680
## bisbas_fun_seek 0.034844547 -0.020254643
## bisbas_reward_response -0.043978685 0.020122140
## mini_markers_extra -0.031955564 0.089153029
## mini_markers_agree -0.165415391 0.107309046
## mini_markers_conscientiousness -0.070592693 -0.110112586
## mini_markers_neuroticism 0.006309988 -0.030322809
## mini_markers_open 0.000935268 -0.059681936
## swan_inattentive 0.035585656 0.018319847
## swan_hyperactive 0.026301590 0.013986181
## swan_combined 0.078054482 -0.085364661
## updating_num_correct updating_mean_rt
## id -0.086285201 -0.097366494
## axcpt_proactive_control -0.098961144 -0.030504660
## axcpt_ax_mean_rt -0.035735230 0.095799741
## axcpt_ay_mean_rt -0.060495208 0.175910945
## axcpt_bx_mean_rt 0.017278247 0.120968520
## axcpt_by_mean_rt -0.036264489 0.137373806
## axcpt_ax_accuracy 0.140674410 -0.021820479
## axcpt_ay_accuracy 0.204470798 0.028256703
## axcpt_bx_accuracy 0.095866770 -0.096285935
## axcpt_by_accuracy 0.063188612 -0.015521188
## axcpt_mean_rt -0.028744851 0.151027817
## axcpt_mean_accuracy 0.164491633 -0.042412307
## antisaccade_error_rate -0.317621177 0.206104200
## antisaccade_mean_rt -0.188225927 0.305852459
## antisaccade_rt_sd -0.152959442 0.234027766
## flanker_error_rate_congruent 0.003412776 0.007636892
## flanker_mean_rt_congruent -0.261622179 0.149938758
## flanker_error_rate_incongruent 0.032057044 0.048112023
## flanker_mean_rt_incongruent -0.233636354 0.179119145
## flanker_rt_switchcost 0.073589111 -0.126921407
## flanker_mean_rt -0.254909675 0.173023234
## flanker_mean_error_rate 0.026581255 0.040622167
## stroop_mean_rt_congruent -0.091620536 0.101215925
## stroop_mean_rt_incongruent 0.021691583 -0.052643808
## stroop_error_rate_congruent 0.086258534 -0.055776527
## stroop_error_rate_incongruent 0.043035420 0.021526065
## stroop_mean_rt_switchcost -0.022391863 0.053415851
## stroop_mean_rt 0.020989996 -0.051868640
## stroop_mean_error_rate 0.068059662 -0.016205974
## catswitch_accuracy_switch 0.174420580 -0.142708971
## catswitch_accuracy_nonswitch 0.080529059 -0.078241646
## catswitch_mean_rt_switch 0.021459733 0.194764650
## catswitch_mean_rt_nonswitch -0.010522521 0.186336994
## catswitch_rt_switchcost 0.040340754 0.115306125
## catswitch_mean_rt 0.009914993 0.205056367
## catswitch_accuracy 0.140020214 -0.121188490
## updating_accuracy 0.999836170 -0.136850277
## updating_num_correct 1.000000000 -0.140980918
## updating_mean_rt -0.140980918 1.000000000
## supps_total -0.038261642 -0.074439448
## supps_neg_urgency -0.182380528 0.027624738
## supps_lack_premed 0.019635928 -0.079252703
## supps_lack_pers 0.001810824 -0.049265285
## supps_sen_seek 0.073570744 -0.078713531
## supps_pos_urgency -0.011848144 -0.049014108
## tova_accuracy 0.209278890 -0.021374114
## tova_mean_rt -0.081338139 -0.027255381
## tova_rt_variability -0.220325728 -0.011730598
## tova_mean_rt_infrequent -0.090360574 0.003549573
## tova_rt_variability_infrequent -0.184924753 -0.086901914
## tova_accuracy_infrequent 0.074921862 -0.038181563
## tova_mean_rt_frequent -0.072667377 -0.034717394
## tova_rt_variability_frequent -0.202974509 0.003459774
## tova_accuracy_frequent 0.115961863 0.082201451
## tova_rt_variability_switchcost 0.071352013 -0.086511171
## tova_false_alarm_frequent -0.232078566 0.125323592
## tova_misses_infrequent -0.074921862 0.038181563
## dm_accuracy_dog -0.020497900 -0.022852045
## dm_accuracy_monkey -0.095447539 0.070991286
## dm_accuracy -0.034198005 0.026632631
## dm_mean_rt_dogs -0.103302982 0.143954735
## dm_mean_rt_monkey -0.151022915 0.208756256
## dm_mix_accuracy 0.028564632 -0.024141847
## dm_mean_rt_mix_dog -0.224886831 0.213927192
## dm_mean_rt_mix_monkey -0.245728358 0.201719304
## dm_mean_rt -0.220367404 0.228250977
## cancellation_dog_score 0.204690239 -0.351323197
## cancellation_monkey_score 0.140157936 -0.327300177
## cancellation_mix_score 0.223382360 -0.270622907
## forward_span_partial_score 0.218715006 -0.180936922
## forward_span_longest_forward_seq 0.310258367 -0.141276191
## bisbas_bis -0.044404828 -0.056076950
## bisbas_drive 0.085763346 -0.047023654
## bisbas_fun_seek -0.020135045 0.052831365
## bisbas_reward_response 0.022317875 -0.040947515
## mini_markers_extra 0.089664792 -0.035256263
## mini_markers_agree 0.105363012 0.057165295
## mini_markers_conscientiousness -0.109436453 0.031401176
## mini_markers_neuroticism -0.033624987 -0.034221485
## mini_markers_open -0.061267933 0.012822729
## swan_inattentive 0.018621008 -0.027882468
## swan_hyperactive 0.013973040 -0.052131656
## swan_combined -0.084988651 0.095208779
## supps_total supps_neg_urgency
## id 0.0523007204 0.0632221479
## axcpt_proactive_control 0.0376728379 0.0182229865
## axcpt_ax_mean_rt -0.0341661325 0.0130020909
## axcpt_ay_mean_rt -0.0150603009 0.0346784243
## axcpt_bx_mean_rt -0.0473838905 -0.0118936963
## axcpt_by_mean_rt 0.0257944333 0.0561292699
## axcpt_ax_accuracy -0.0099743121 -0.0584687248
## axcpt_ay_accuracy -0.0625880041 -0.0816703149
## axcpt_bx_accuracy -0.0127905642 -0.0583490371
## axcpt_by_accuracy 0.0009654471 -0.0410170148
## axcpt_mean_rt -0.0204900079 0.0248512437
## axcpt_mean_accuracy -0.0366202830 -0.0806539178
## antisaccade_error_rate -0.1669087799 -0.0531609173
## antisaccade_mean_rt -0.1074568162 -0.0623970337
## antisaccade_rt_sd -0.0744723215 -0.0285206958
## flanker_error_rate_congruent 0.0134457744 -0.0996962402
## flanker_mean_rt_congruent -0.0527795700 -0.0138165601
## flanker_error_rate_incongruent 0.0244994256 -0.0136002925
## flanker_mean_rt_incongruent -0.0467736664 0.0178188921
## flanker_rt_switchcost 0.0141710602 -0.0526324644
## flanker_mean_rt -0.0512109537 0.0044989491
## flanker_mean_error_rate 0.0234532711 -0.0397310388
## stroop_mean_rt_congruent 0.0055336657 0.0192005993
## stroop_mean_rt_incongruent -0.1198992999 -0.0942987707
## stroop_error_rate_congruent 0.1133902173 0.0149790653
## stroop_error_rate_incongruent 0.1220242398 0.0648080503
## stroop_mean_rt_switchcost 0.1199350738 0.0944405903
## stroop_mean_rt -0.1198564952 -0.0941514157
## stroop_mean_error_rate 0.1263389749 0.0441176616
## catswitch_accuracy_switch -0.0476562468 -0.0478114160
## catswitch_accuracy_nonswitch 0.0081555426 0.0054662689
## catswitch_mean_rt_switch 0.0713660769 0.0530156227
## catswitch_mean_rt_nonswitch 0.0107074165 0.0197135892
## catswitch_rt_switchcost 0.0934852419 0.0589820769
## catswitch_mean_rt 0.0516320529 0.0431570012
## catswitch_accuracy -0.0220827492 -0.0236112029
## updating_accuracy -0.0374259775 -0.1800598870
## updating_num_correct -0.0382616421 -0.1823805276
## updating_mean_rt -0.0744394482 0.0276247381
## supps_total 1.0000000000 0.6833957279
## supps_neg_urgency 0.6833957279 1.0000000000
## supps_lack_premed 0.6042483792 0.2741225995
## supps_lack_pers 0.3702607871 0.0420562384
## supps_sen_seek 0.4694218909 0.0046902823
## supps_pos_urgency 0.7721804131 0.5784378720
## tova_accuracy -0.0779705508 -0.1193517629
## tova_mean_rt 0.0202357836 0.0234517236
## tova_rt_variability 0.0814141354 0.0716792153
## tova_mean_rt_infrequent 0.0362226736 0.0386778451
## tova_rt_variability_infrequent 0.0787944916 0.0939313675
## tova_accuracy_infrequent -0.1093097598 -0.0813363523
## tova_mean_rt_frequent 0.0175034926 0.0196849891
## tova_rt_variability_frequent 0.0641652728 0.0596199368
## tova_accuracy_frequent -0.0755778871 -0.0797576489
## tova_rt_variability_switchcost -0.0032955966 0.0165614638
## tova_false_alarm_frequent 0.0190805185 0.1469105348
## tova_misses_infrequent 0.1093097598 0.0813363523
## dm_accuracy_dog -0.1498283432 -0.1966896366
## dm_accuracy_monkey -0.0414869387 -0.0907965818
## dm_accuracy -0.1008894042 -0.1108069940
## dm_mean_rt_dogs -0.2332633746 -0.1170364094
## dm_mean_rt_monkey -0.1995838132 -0.1195879598
## dm_mix_accuracy -0.0962223620 -0.0436792166
## dm_mean_rt_mix_dog -0.1304048116 -0.0131508992
## dm_mean_rt_mix_monkey -0.1025227176 0.0223152049
## dm_mean_rt -0.1893319136 -0.0590672785
## cancellation_dog_score 0.1027382133 0.0108751279
## cancellation_monkey_score 0.0665285254 -0.0634247519
## cancellation_mix_score -0.0236038083 -0.0488596296
## forward_span_partial_score 0.0977325580 -0.0426289898
## forward_span_longest_forward_seq 0.1945496865 0.0008910436
## bisbas_bis 0.0376632064 -0.2510339638
## bisbas_drive -0.1519730704 -0.1720544347
## bisbas_fun_seek -0.3363900952 -0.0897540099
## bisbas_reward_response -0.0219755025 -0.1637004301
## mini_markers_extra 0.0593339694 -0.0752449997
## mini_markers_agree -0.2316911559 -0.2395159578
## mini_markers_conscientiousness -0.5095150353 -0.3128848327
## mini_markers_neuroticism 0.3160038948 0.5463422469
## mini_markers_open -0.0237010401 -0.0457313438
## swan_inattentive 0.3530488945 0.2335356624
## swan_hyperactive 0.3672078753 0.2433976735
## swan_combined 0.1858227693 0.1776729249
## supps_lack_premed supps_lack_pers
## id 0.122101330 -0.0316037632
## axcpt_proactive_control 0.164741946 0.0842339594
## axcpt_ax_mean_rt -0.073866898 0.0402469809
## axcpt_ay_mean_rt -0.087244639 -0.0075109935
## axcpt_bx_mean_rt -0.176796693 -0.0451929266
## axcpt_by_mean_rt -0.135025619 0.0185309160
## axcpt_ax_accuracy 0.006434202 0.0213273580
## axcpt_ay_accuracy -0.018374979 -0.0017135683
## axcpt_bx_accuracy 0.039384018 0.0104770753
## axcpt_by_accuracy -0.032631044 0.0305617853
## axcpt_mean_rt -0.142047732 -0.0026335703
## axcpt_mean_accuracy 0.007508492 0.0104564655
## antisaccade_error_rate -0.128736760 0.0124865042
## antisaccade_mean_rt -0.146699404 -0.0342467644
## antisaccade_rt_sd -0.078967251 -0.0433904607
## flanker_error_rate_congruent 0.046700175 0.0462233334
## flanker_mean_rt_congruent -0.003376724 0.0622822080
## flanker_error_rate_incongruent -0.007631183 0.0484604156
## flanker_mean_rt_incongruent -0.019328109 0.1055592153
## flanker_rt_switchcost 0.031521583 -0.1111111526
## flanker_mean_rt -0.013005442 0.0904267983
## flanker_mean_error_rate 0.007432526 0.0520753891
## stroop_mean_rt_congruent 0.017659378 -0.0994880500
## stroop_mean_rt_incongruent -0.034780872 -0.0828801968
## stroop_error_rate_congruent 0.060611600 0.1415525073
## stroop_error_rate_incongruent 0.041313875 0.0696323805
## stroop_mean_rt_switchcost 0.034914164 0.0821139305
## stroop_mean_rt -0.034645533 -0.0836416437
## stroop_mean_error_rate 0.054062149 0.1111300523
## catswitch_accuracy_switch 0.006344978 0.0277520971
## catswitch_accuracy_nonswitch 0.104446387 -0.0037754132
## catswitch_mean_rt_switch -0.006618693 -0.0736945419
## catswitch_mean_rt_nonswitch -0.029594890 -0.0986432811
## catswitch_rt_switchcost 0.016783927 -0.0185883997
## catswitch_mean_rt -0.016466178 -0.0890768114
## catswitch_accuracy 0.059539101 0.0133819595
## updating_accuracy 0.021048710 0.0016701359
## updating_num_correct 0.019635928 0.0018108242
## updating_mean_rt -0.079252703 -0.0492652846
## supps_total 0.604248379 0.3702607871
## supps_neg_urgency 0.274122600 0.0420562384
## supps_lack_premed 1.000000000 0.3946978692
## supps_lack_pers 0.394697869 1.0000000000
## supps_sen_seek 0.023424378 -0.1088739368
## supps_pos_urgency 0.295127292 0.0908509850
## tova_accuracy -0.112288265 -0.0474625684
## tova_mean_rt -0.096488225 0.0822886946
## tova_rt_variability -0.002800495 0.1329092973
## tova_mean_rt_infrequent -0.101216397 0.0849378147
## tova_rt_variability_infrequent -0.039860576 0.0839517082
## tova_accuracy_infrequent -0.080774221 -0.0376187798
## tova_mean_rt_frequent -0.088510929 0.0773957611
## tova_rt_variability_frequent -0.001943259 0.1173582736
## tova_accuracy_frequent -0.116567880 0.0023039913
## tova_rt_variability_switchcost -0.035394063 -0.0630116028
## tova_false_alarm_frequent 0.008267522 0.0578202050
## tova_misses_infrequent 0.080774221 0.0376187798
## dm_accuracy_dog -0.155812813 -0.0707578954
## dm_accuracy_monkey -0.058404602 0.0014782706
## dm_accuracy -0.108268923 -0.0601910818
## dm_mean_rt_dogs -0.142561762 0.0512317644
## dm_mean_rt_monkey -0.052500741 0.0977509196
## dm_mix_accuracy -0.089269910 -0.0599225569
## dm_mean_rt_mix_dog -0.207919681 0.0353517046
## dm_mean_rt_mix_monkey -0.179861589 0.0725823185
## dm_mean_rt -0.176947080 0.0747100253
## cancellation_dog_score 0.188228847 0.0020509623
## cancellation_monkey_score 0.103341295 -0.0263761917
## cancellation_mix_score 0.121840163 -0.0788372149
## forward_span_partial_score 0.177190907 0.0636524603
## forward_span_longest_forward_seq 0.219584233 0.0704235284
## bisbas_bis 0.068033417 0.0827676615
## bisbas_drive 0.051011414 0.2101977162
## bisbas_fun_seek -0.120828225 0.1126628905
## bisbas_reward_response 0.161681858 0.3425848815
## mini_markers_extra -0.100454666 -0.2289423043
## mini_markers_agree -0.252892257 -0.1945221067
## mini_markers_conscientiousness -0.529156744 -0.3789709062
## mini_markers_neuroticism 0.268906491 0.0546974819
## mini_markers_open -0.115691257 -0.1420431007
## swan_inattentive 0.446929805 0.4243513964
## swan_hyperactive 0.376306003 0.2224362921
## swan_combined 0.174172534 -0.0008954051
## supps_sen_seek supps_pos_urgency tova_accuracy
## id -0.1038950060 0.1251503205 -0.073749120
## axcpt_proactive_control -0.0815902380 -0.0098740554 -0.035618025
## axcpt_ax_mean_rt -0.0643369153 -0.0052763735 -0.055177666
## axcpt_ay_mean_rt -0.0004786375 -0.0048590142 -0.077283165
## axcpt_bx_mean_rt 0.0524597277 -0.0087145122 -0.025852383
## axcpt_by_mean_rt 0.0247430561 0.0763021363 -0.057940931
## axcpt_ax_accuracy -0.0476308358 0.0707356585 0.231944793
## axcpt_ay_accuracy -0.0742052824 0.0154486694 0.152468467
## axcpt_bx_accuracy -0.0534063533 0.0510913264 0.178629992
## axcpt_by_accuracy 0.0374093484 0.0076170863 0.178284867
## axcpt_mean_rt 0.0106139854 0.0175952281 -0.059406168
## axcpt_mean_accuracy -0.0575506037 0.0385647699 0.208003605
## antisaccade_error_rate -0.1659315106 -0.1240651684 -0.248906910
## antisaccade_mean_rt -0.0261103374 -0.0625023575 -0.102987482
## antisaccade_rt_sd -0.0205150416 -0.0604073891 -0.098897102
## flanker_error_rate_congruent 0.0836573509 -0.0216415546 -0.033941212
## flanker_mean_rt_congruent -0.1267845959 -0.0272087455 -0.225961324
## flanker_error_rate_incongruent 0.0498363194 -0.0032721505 -0.128836530
## flanker_mean_rt_incongruent -0.1652534454 -0.0182379755 -0.275785176
## flanker_rt_switchcost 0.1331744663 -0.0037043451 0.202234056
## flanker_mean_rt -0.1545199871 -0.0229013231 -0.264233285
## flanker_mean_error_rate 0.0640151736 -0.0088799805 -0.112686951
## stroop_mean_rt_congruent 0.0397042495 0.0056651053 -0.051513110
## stroop_mean_rt_incongruent -0.0949788598 -0.0362780724 0.035804377
## stroop_error_rate_congruent 0.0313423631 0.1159284566 -0.039479726
## stroop_error_rate_incongruent 0.0327944552 0.1511667370 -0.188561929
## stroop_mean_rt_switchcost 0.0952776237 0.0363194511 -0.036196807
## stroop_mean_rt -0.0946745125 -0.0362345649 0.035409828
## stroop_mean_error_rate 0.0343951365 0.1440453873 -0.126278377
## catswitch_accuracy_switch -0.0450922486 -0.0541298761 0.102195166
## catswitch_accuracy_nonswitch -0.0415281473 -0.0147049758 0.165920609
## catswitch_mean_rt_switch 0.0962758374 0.0884736769 -0.076664852
## catswitch_mean_rt_nonswitch 0.0536904957 0.0401756317 -0.033901968
## catswitch_rt_switchcost 0.0911890547 0.0919543878 -0.080491998
## catswitch_mean_rt 0.0856772108 0.0749925260 -0.064610993
## catswitch_accuracy -0.0473056599 -0.0379371764 0.145720884
## updating_accuracy 0.0724744485 -0.0117652159 0.204735419
## updating_num_correct 0.0735707443 -0.0118481438 0.209278890
## updating_mean_rt -0.0787135312 -0.0490141078 -0.021374114
## supps_total 0.4694218909 0.7721804131 -0.077970551
## supps_neg_urgency 0.0046902823 0.5784378720 -0.119351763
## supps_lack_premed 0.0234243777 0.2951272925 -0.112288265
## supps_lack_pers -0.1088739368 0.0908509850 -0.047462568
## supps_sen_seek 1.0000000000 0.2055330516 0.039407267
## supps_pos_urgency 0.2055330516 1.0000000000 -0.012057325
## tova_accuracy 0.0394072670 -0.0120573253 1.000000000
## tova_mean_rt 0.0268477523 0.0175000832 -0.204471631
## tova_rt_variability 0.0588377382 -0.0110770853 -0.539543040
## tova_mean_rt_infrequent 0.0633534964 0.0050881473 -0.149064110
## tova_rt_variability_infrequent 0.0846894477 -0.0082976770 -0.305623748
## tova_accuracy_infrequent -0.0460648173 -0.0736887961 0.677548030
## tova_mean_rt_frequent 0.0167489915 0.0228890429 -0.211499405
## tova_rt_variability_frequent 0.0404629835 -0.0144839853 -0.557865831
## tova_accuracy_frequent 0.0145405522 -0.0516571285 0.879999512
## tova_rt_variability_switchcost 0.0310732709 0.0097310250 0.388032283
## tova_false_alarm_frequent -0.0739812891 -0.0678359472 -0.552526626
## tova_misses_infrequent 0.0460648173 0.0736887961 -0.677548030
## dm_accuracy_dog 0.0056233600 -0.0390855498 0.098488203
## dm_accuracy_monkey 0.0244073430 -0.0009897381 -0.039355165
## dm_accuracy -0.0342626221 0.0061995824 0.049842613
## dm_mean_rt_dogs -0.2028338392 -0.2146673021 -0.142459518
## dm_mean_rt_monkey -0.2503528236 -0.1666659818 -0.217691362
## dm_mix_accuracy -0.0785099802 -0.0173068234 0.066895512
## dm_mean_rt_mix_dog -0.1439882380 -0.0442929332 -0.182258933
## dm_mean_rt_mix_monkey -0.1359104717 -0.0629364699 -0.149528806
## dm_mean_rt -0.2104351064 -0.1350573231 -0.202847479
## cancellation_dog_score 0.0172971736 0.1057000810 0.134091283
## cancellation_monkey_score 0.0828561752 0.0960201615 0.103126371
## cancellation_mix_score -0.0065305614 -0.0456131155 0.174406697
## forward_span_partial_score -0.0111659443 0.1476050149 0.196141469
## forward_span_longest_forward_seq 0.1131496930 0.1885884724 0.145986222
## bisbas_bis 0.2619757201 -0.0402900347 -0.008445465
## bisbas_drive -0.2465500215 -0.1430994640 0.056874145
## bisbas_fun_seek -0.5270345061 -0.2168763951 0.036084742
## bisbas_reward_response -0.1444786613 -0.0889828334 0.061535503
## mini_markers_extra 0.3384395991 0.0973067563 -0.098061618
## mini_markers_agree 0.1897033141 -0.2713957443 -0.065070875
## mini_markers_conscientiousness -0.0082082964 -0.3893940630 0.035444466
## mini_markers_neuroticism -0.2619176222 0.3463372986 -0.084151900
## mini_markers_open 0.2137417458 -0.0726197980 -0.016269231
## swan_inattentive -0.1020815968 0.1977398051 -0.047880532
## swan_hyperactive 0.0398762609 0.2619065187 -0.002426072
## swan_combined 0.0104546179 0.1788598923 0.094239148
## tova_mean_rt tova_rt_variability
## id 0.046638875 0.007557389
## axcpt_proactive_control -0.127887851 0.006245885
## axcpt_ax_mean_rt 0.447821827 0.198969403
## axcpt_ay_mean_rt 0.472967269 0.227637878
## axcpt_bx_mean_rt 0.380987970 0.126292684
## axcpt_by_mean_rt 0.334957534 0.146740518
## axcpt_ax_accuracy -0.003178297 -0.181413211
## axcpt_ay_accuracy 0.134534111 -0.077334871
## axcpt_bx_accuracy -0.030763345 -0.118972517
## axcpt_by_accuracy 0.058438981 -0.102059390
## axcpt_mean_rt 0.458923317 0.192940801
## axcpt_mean_accuracy 0.050839396 -0.128846983
## antisaccade_error_rate 0.217483894 0.232534185
## antisaccade_mean_rt 0.104836983 0.130441017
## antisaccade_rt_sd 0.068184545 0.111612922
## flanker_error_rate_congruent 0.052378328 0.019815139
## flanker_mean_rt_congruent 0.362323991 0.320969582
## flanker_error_rate_incongruent 0.003810939 0.043860987
## flanker_mean_rt_incongruent 0.307443559 0.310185386
## flanker_rt_switchcost -0.071699018 -0.134417989
## flanker_mean_rt 0.343425618 0.326760179
## flanker_mean_error_rate 0.018211851 0.040755296
## stroop_mean_rt_congruent -0.064682509 -0.039126637
## stroop_mean_rt_incongruent 0.015316987 -0.011652185
## stroop_error_rate_congruent -0.039662856 0.010145619
## stroop_error_rate_incongruent 0.039477479 0.186846932
## stroop_mean_rt_switchcost -0.015811372 0.011351979
## stroop_mean_rt 0.014821678 -0.011951722
## stroop_mean_error_rate 0.002091895 0.110411604
## catswitch_accuracy_switch -0.011790101 -0.094039085
## catswitch_accuracy_nonswitch -0.022902694 -0.112473173
## catswitch_mean_rt_switch 0.184059184 0.111126058
## catswitch_mean_rt_nonswitch 0.228181327 0.109194750
## catswitch_rt_switchcost 0.062614127 0.063229172
## catswitch_mean_rt 0.215051306 0.118172885
## catswitch_accuracy -0.018828526 -0.112528071
## updating_accuracy -0.082731674 -0.220924017
## updating_num_correct -0.081338139 -0.220325728
## updating_mean_rt -0.027255381 -0.011730598
## supps_total 0.020235784 0.081414135
## supps_neg_urgency 0.023451724 0.071679215
## supps_lack_premed -0.096488225 -0.002800495
## supps_lack_pers 0.082288695 0.132909297
## supps_sen_seek 0.026847752 0.058837738
## supps_pos_urgency 0.017500083 -0.011077085
## tova_accuracy -0.204471631 -0.539543040
## tova_mean_rt 1.000000000 0.675781397
## tova_rt_variability 0.675781397 1.000000000
## tova_mean_rt_infrequent 0.860257244 0.651366462
## tova_rt_variability_infrequent 0.508763784 0.734058108
## tova_accuracy_infrequent -0.157342317 -0.292088577
## tova_mean_rt_frequent 0.988206084 0.645376789
## tova_rt_variability_frequent 0.677792414 0.976590081
## tova_accuracy_frequent -0.316024523 -0.492850982
## tova_rt_variability_switchcost -0.341273392 -0.490762466
## tova_false_alarm_frequent -0.074906652 0.332168880
## tova_misses_infrequent 0.157342317 0.292088577
## dm_accuracy_dog -0.065562313 -0.190465298
## dm_accuracy_monkey 0.040330342 0.020322990
## dm_accuracy 0.076963304 -0.023330371
## dm_mean_rt_dogs 0.123567601 0.135012370
## dm_mean_rt_monkey 0.219535319 0.197118380
## dm_mix_accuracy 0.094323944 0.006734258
## dm_mean_rt_mix_dog 0.315694526 0.249975357
## dm_mean_rt_mix_monkey 0.288946047 0.206639989
## dm_mean_rt 0.287294399 0.235992338
## cancellation_dog_score -0.335623971 -0.281293846
## cancellation_monkey_score -0.314332626 -0.163767728
## cancellation_mix_score -0.331855331 -0.302070520
## forward_span_partial_score -0.187212523 -0.153658654
## forward_span_longest_forward_seq -0.144410698 -0.086868740
## bisbas_bis -0.024784428 -0.027143398
## bisbas_drive -0.122165245 -0.122017028
## bisbas_fun_seek -0.026136336 -0.042351953
## bisbas_reward_response -0.197493714 -0.108680072
## mini_markers_extra 0.110180966 0.150269129
## mini_markers_agree 0.005729802 0.065106720
## mini_markers_conscientiousness 0.078847656 0.034424555
## mini_markers_neuroticism 0.011297251 0.035167057
## mini_markers_open -0.008697658 -0.011463302
## swan_inattentive -0.001774050 -0.034253117
## swan_hyperactive -0.028458618 -0.057334934
## swan_combined -0.108107881 -0.160676523
## tova_mean_rt_infrequent
## id -0.0197799653
## axcpt_proactive_control -0.0733531148
## axcpt_ax_mean_rt 0.3573184348
## axcpt_ay_mean_rt 0.4270151754
## axcpt_bx_mean_rt 0.3035519760
## axcpt_by_mean_rt 0.2746760697
## axcpt_ax_accuracy -0.0569746436
## axcpt_ay_accuracy 0.0071809750
## axcpt_bx_accuracy -0.0318557023
## axcpt_by_accuracy -0.0039254141
## axcpt_mean_rt 0.3809708466
## axcpt_mean_accuracy -0.0188878398
## antisaccade_error_rate 0.2631139809
## antisaccade_mean_rt 0.1075359628
## antisaccade_rt_sd 0.0631409419
## flanker_error_rate_congruent 0.0589958574
## flanker_mean_rt_congruent 0.2768581650
## flanker_error_rate_incongruent 0.0389816836
## flanker_mean_rt_incongruent 0.2316164542
## flanker_rt_switchcost -0.0485895128
## flanker_mean_rt 0.2604482580
## flanker_mean_error_rate 0.0482070750
## stroop_mean_rt_congruent -0.0389029241
## stroop_mean_rt_incongruent -0.0397405985
## stroop_error_rate_congruent -0.0191315815
## stroop_error_rate_incongruent 0.0515711263
## stroop_mean_rt_switchcost 0.0394405613
## stroop_mean_rt -0.0400383213
## stroop_mean_error_rate 0.0193338411
## catswitch_accuracy_switch -0.0590375210
## catswitch_accuracy_nonswitch -0.0824030542
## catswitch_mean_rt_switch 0.1574619049
## catswitch_mean_rt_nonswitch 0.1663838299
## catswitch_rt_switchcost 0.0792182009
## catswitch_mean_rt 0.1722070090
## catswitch_accuracy -0.0769694946
## updating_accuracy -0.0911547338
## updating_num_correct -0.0903605744
## updating_mean_rt 0.0035495729
## supps_total 0.0362226736
## supps_neg_urgency 0.0386778451
## supps_lack_premed -0.1012163970
## supps_lack_pers 0.0849378147
## supps_sen_seek 0.0633534964
## supps_pos_urgency 0.0050881473
## tova_accuracy -0.1490641105
## tova_mean_rt 0.8602572436
## tova_rt_variability 0.6513664617
## tova_mean_rt_infrequent 1.0000000000
## tova_rt_variability_infrequent 0.6335461394
## tova_accuracy_infrequent -0.0753472218
## tova_mean_rt_frequent 0.7724344923
## tova_rt_variability_frequent 0.5714378659
## tova_accuracy_frequent -0.2048683092
## tova_rt_variability_switchcost -0.0939222316
## tova_false_alarm_frequent 0.0150794600
## tova_misses_infrequent 0.0753472218
## dm_accuracy_dog -0.1342933879
## dm_accuracy_monkey 0.0212193463
## dm_accuracy 0.0069513174
## dm_mean_rt_dogs 0.0922638114
## dm_mean_rt_monkey 0.1356188883
## dm_mix_accuracy 0.0201425154
## dm_mean_rt_mix_dog 0.2949044216
## dm_mean_rt_mix_monkey 0.2578288683
## dm_mean_rt 0.2398116136
## cancellation_dog_score -0.3539502740
## cancellation_monkey_score -0.3362414477
## cancellation_mix_score -0.3504928317
## forward_span_partial_score -0.2246094364
## forward_span_longest_forward_seq -0.1753412517
## bisbas_bis -0.0424277105
## bisbas_drive -0.1845556154
## bisbas_fun_seek -0.0817080020
## bisbas_reward_response -0.1355613275
## mini_markers_extra 0.1089700375
## mini_markers_agree 0.0447937188
## mini_markers_conscientiousness 0.0946689782
## mini_markers_neuroticism 0.0043512646
## mini_markers_open 0.0210974018
## swan_inattentive -0.0092091232
## swan_hyperactive -0.0006126291
## swan_combined -0.1149385221
## tova_rt_variability_infrequent
## id -0.059608026
## axcpt_proactive_control -0.051237261
## axcpt_ax_mean_rt 0.170479910
## axcpt_ay_mean_rt 0.152404334
## axcpt_bx_mean_rt 0.121732377
## axcpt_by_mean_rt 0.155151180
## axcpt_ax_accuracy -0.241681208
## axcpt_ay_accuracy -0.147452768
## axcpt_bx_accuracy -0.169044544
## axcpt_by_accuracy -0.172771997
## axcpt_mean_rt 0.168053752
## axcpt_mean_accuracy -0.201936157
## antisaccade_error_rate 0.178834931
## antisaccade_mean_rt 0.053726170
## antisaccade_rt_sd 0.053982459
## flanker_error_rate_congruent -0.012179439
## flanker_mean_rt_congruent 0.204982589
## flanker_error_rate_incongruent 0.023122019
## flanker_mean_rt_incongruent 0.213346790
## flanker_rt_switchcost -0.114427026
## flanker_mean_rt 0.217763989
## flanker_mean_error_rate 0.014932253
## stroop_mean_rt_congruent -0.075179952
## stroop_mean_rt_incongruent -0.035439068
## stroop_error_rate_congruent 0.039044583
## stroop_error_rate_incongruent 0.213578213
## stroop_mean_rt_switchcost 0.034861520
## stroop_mean_rt -0.036014568
## stroop_mean_error_rate 0.140149967
## catswitch_accuracy_switch -0.086291093
## catswitch_accuracy_nonswitch -0.133298073
## catswitch_mean_rt_switch 0.025070527
## catswitch_mean_rt_nonswitch 0.011056686
## catswitch_rt_switchcost 0.026348538
## catswitch_mean_rt 0.021116592
## catswitch_accuracy -0.119395515
## updating_accuracy -0.186838333
## updating_num_correct -0.184924753
## updating_mean_rt -0.086901914
## supps_total 0.078794492
## supps_neg_urgency 0.093931367
## supps_lack_premed -0.039860576
## supps_lack_pers 0.083951708
## supps_sen_seek 0.084689448
## supps_pos_urgency -0.008297677
## tova_accuracy -0.305623748
## tova_mean_rt 0.508763784
## tova_rt_variability 0.734058108
## tova_mean_rt_infrequent 0.633546139
## tova_rt_variability_infrequent 1.000000000
## tova_accuracy_infrequent -0.180916696
## tova_mean_rt_frequent 0.441854693
## tova_rt_variability_frequent 0.596381053
## tova_accuracy_frequent -0.282823463
## tova_rt_variability_switchcost 0.222873232
## tova_false_alarm_frequent 0.175701414
## tova_misses_infrequent 0.180916696
## dm_accuracy_dog -0.263966373
## dm_accuracy_monkey -0.034817765
## dm_accuracy -0.079108121
## dm_mean_rt_dogs 0.012467712
## dm_mean_rt_monkey -0.012730282
## dm_mix_accuracy 0.001544735
## dm_mean_rt_mix_dog 0.122229683
## dm_mean_rt_mix_monkey 0.094969438
## dm_mean_rt 0.070360187
## cancellation_dog_score -0.203324693
## cancellation_monkey_score -0.097057059
## cancellation_mix_score -0.190989507
## forward_span_partial_score -0.212839014
## forward_span_longest_forward_seq -0.084737207
## bisbas_bis -0.033990185
## bisbas_drive -0.113428925
## bisbas_fun_seek -0.021124764
## bisbas_reward_response -0.036177415
## mini_markers_extra 0.160638450
## mini_markers_agree 0.023468076
## mini_markers_conscientiousness -0.009135258
## mini_markers_neuroticism 0.028744386
## mini_markers_open -0.077575680
## swan_inattentive -0.050771774
## swan_hyperactive -0.021853570
## swan_combined -0.159716366
## tova_accuracy_infrequent tova_mean_rt_frequent
## id -5.079784e-02 0.0645096868
## axcpt_proactive_control 2.007970e-02 -0.1359179619
## axcpt_ax_mean_rt -1.134662e-01 0.4515770936
## axcpt_ay_mean_rt -1.250494e-01 0.4650194799
## axcpt_bx_mean_rt -8.733112e-02 0.3845625451
## axcpt_by_mean_rt -8.331053e-02 0.3362233095
## axcpt_ax_accuracy 1.341060e-01 0.0157668413
## axcpt_ay_accuracy 4.965518e-02 0.1660862208
## axcpt_bx_accuracy 1.268083e-01 -0.0293686023
## axcpt_by_accuracy 1.111737e-01 0.0743354462
## axcpt_mean_rt -1.140712e-01 0.4593868268
## axcpt_mean_accuracy 1.162062e-01 0.0693007026
## antisaccade_error_rate -9.616298e-02 0.1920087342
## antisaccade_mean_rt -3.380240e-02 0.0972586366
## antisaccade_rt_sd -8.440485e-02 0.0643960884
## flanker_error_rate_congruent -1.294116e-01 0.0484742682
## flanker_mean_rt_congruent -1.071835e-01 0.3679495167
## flanker_error_rate_incongruent -1.854601e-01 -0.0061174144
## flanker_mean_rt_incongruent -2.230576e-01 0.3134804775
## flanker_rt_switchcost 2.687983e-01 -0.0751801462
## flanker_mean_rt -1.802736e-01 0.3495102186
## flanker_mean_error_rate -1.855420e-01 0.0091548474
## stroop_mean_rt_congruent -6.758665e-02 -0.0685407853
## stroop_mean_rt_incongruent 2.795826e-02 0.0306557679
## stroop_error_rate_congruent -2.230116e-01 -0.0411032404
## stroop_error_rate_incongruent -2.766407e-01 0.0351502727
## stroop_mean_rt_switchcost -2.847419e-02 -0.0311788497
## stroop_mean_rt 2.744067e-02 0.0301308621
## stroop_mean_error_rate -2.691240e-01 -0.0010774479
## catswitch_accuracy_switch 3.139353e-02 0.0034821776
## catswitch_accuracy_nonswitch 1.347615e-01 -0.0039536193
## catswitch_mean_rt_switch -1.217455e-01 0.1844274569
## catswitch_mean_rt_nonswitch -1.620025e-01 0.2370092740
## catswitch_rt_switchcost -3.156209e-02 0.0552893462
## catswitch_mean_rt -1.467659e-01 0.2188994935
## catswitch_accuracy 8.970359e-02 -0.0001872460
## updating_accuracy 7.146406e-02 -0.0741033041
## updating_num_correct 7.492186e-02 -0.0726673767
## updating_mean_rt -3.818156e-02 -0.0347173943
## supps_total -1.093098e-01 0.0175034926
## supps_neg_urgency -8.133635e-02 0.0196849891
## supps_lack_premed -8.077422e-02 -0.0885109289
## supps_lack_pers -3.761878e-02 0.0773957611
## supps_sen_seek -4.606482e-02 0.0167489915
## supps_pos_urgency -7.368880e-02 0.0228890429
## tova_accuracy 6.775480e-01 -0.2114994047
## tova_mean_rt -1.573423e-01 0.9882060841
## tova_rt_variability -2.920886e-01 0.6453767895
## tova_mean_rt_infrequent -7.534722e-02 0.7724344923
## tova_rt_variability_infrequent -1.809167e-01 0.4418546929
## tova_accuracy_infrequent 1.000000e+00 -0.1785101648
## tova_mean_rt_frequent -1.785102e-01 1.0000000000
## tova_rt_variability_frequent -3.109714e-01 0.6719803318
## tova_accuracy_frequent 6.154218e-01 -0.3348351660
## tova_rt_variability_switchcost 2.063059e-01 -0.3975880165
## tova_false_alarm_frequent -1.053968e-01 -0.0999927116
## tova_misses_infrequent -1.000000e+00 0.1785101648
## dm_accuracy_dog 2.123611e-03 -0.0391856154
## dm_accuracy_monkey 4.237110e-02 0.0422801520
## dm_accuracy 4.668726e-02 0.0938027332
## dm_mean_rt_dogs -1.575484e-01 0.1254757817
## dm_mean_rt_monkey -3.215754e-01 0.2323938407
## dm_mix_accuracy 2.943383e-02 0.1117840048
## dm_mean_rt_mix_dog -2.818965e-01 0.3053801008
## dm_mean_rt_mix_monkey -1.811285e-01 0.2822358568
## dm_mean_rt -2.768821e-01 0.2857049737
## cancellation_dog_score 5.925347e-02 -0.3109394124
## cancellation_monkey_score 9.875963e-02 -0.2912300578
## cancellation_mix_score 1.049035e-01 -0.3092001128
## forward_span_partial_score 2.168260e-01 -0.1642934933
## forward_span_longest_forward_seq 1.338205e-01 -0.1260821398
## bisbas_bis -8.739195e-02 -0.0175570005
## bisbas_drive 6.459834e-02 -0.0970973585
## bisbas_fun_seek 1.391637e-01 -0.0099214977
## bisbas_reward_response 1.402558e-02 -0.2053463631
## mini_markers_extra -2.359146e-01 0.1046434984
## mini_markers_agree -4.266143e-05 -0.0075756432
## mini_markers_conscientiousness 2.484054e-02 0.0682846554
## mini_markers_neuroticism -2.430504e-02 0.0122254935
## mini_markers_open -3.956472e-02 -0.0153312365
## swan_inattentive 3.263376e-02 0.0004426306
## swan_hyperactive -7.653548e-02 -0.0355567216
## swan_combined 5.728357e-02 -0.1004468359
## tova_rt_variability_frequent
## id 0.032968396
## axcpt_proactive_control 0.008918628
## axcpt_ax_mean_rt 0.187361812
## axcpt_ay_mean_rt 0.218879421
## axcpt_bx_mean_rt 0.122398351
## axcpt_by_mean_rt 0.131960379
## axcpt_ax_accuracy -0.149352214
## axcpt_ay_accuracy -0.030867976
## axcpt_bx_accuracy -0.099359986
## axcpt_by_accuracy -0.066295639
## axcpt_mean_rt 0.182174973
## axcpt_mean_accuracy -0.089895765
## antisaccade_error_rate 0.209520441
## antisaccade_mean_rt 0.133351375
## antisaccade_rt_sd 0.107625901
## flanker_error_rate_congruent 0.025962335
## flanker_mean_rt_congruent 0.325201024
## flanker_error_rate_incongruent 0.035498674
## flanker_mean_rt_incongruent 0.302662307
## flanker_rt_switchcost -0.114427114
## flanker_mean_rt 0.324151948
## flanker_mean_error_rate 0.035859508
## stroop_mean_rt_congruent -0.031954222
## stroop_mean_rt_incongruent 0.002940767
## stroop_error_rate_congruent 0.006094001
## stroop_error_rate_incongruent 0.173489204
## stroop_mean_rt_switchcost -0.003185256
## stroop_mean_rt 0.002696093
## stroop_mean_error_rate 0.100828613
## catswitch_accuracy_switch -0.074878398
## catswitch_accuracy_nonswitch -0.079003079
## catswitch_mean_rt_switch 0.113115975
## catswitch_mean_rt_nonswitch 0.122226513
## catswitch_rt_switchcost 0.054504018
## catswitch_mean_rt 0.124811315
## catswitch_accuracy -0.083940205
## updating_accuracy -0.203301011
## updating_num_correct -0.202974509
## updating_mean_rt 0.003459774
## supps_total 0.064165273
## supps_neg_urgency 0.059619937
## supps_lack_premed -0.001943259
## supps_lack_pers 0.117358274
## supps_sen_seek 0.040462984
## supps_pos_urgency -0.014483985
## tova_accuracy -0.557865831
## tova_mean_rt 0.677792414
## tova_rt_variability 0.976590081
## tova_mean_rt_infrequent 0.571437866
## tova_rt_variability_infrequent 0.596381053
## tova_accuracy_infrequent -0.310971373
## tova_mean_rt_frequent 0.671980332
## tova_rt_variability_frequent 1.000000000
## tova_accuracy_frequent -0.523272344
## tova_rt_variability_switchcost -0.649594090
## tova_false_alarm_frequent 0.316609091
## tova_misses_infrequent 0.310971373
## dm_accuracy_dog -0.149821366
## dm_accuracy_monkey 0.029696753
## dm_accuracy 0.009758974
## dm_mean_rt_dogs 0.145109624
## dm_mean_rt_monkey 0.218869695
## dm_mix_accuracy 0.033222672
## dm_mean_rt_mix_dog 0.245218156
## dm_mean_rt_mix_monkey 0.204803497
## dm_mean_rt 0.242289163
## cancellation_dog_score -0.262220382
## cancellation_monkey_score -0.151094714
## cancellation_mix_score -0.285971436
## forward_span_partial_score -0.121644851
## forward_span_longest_forward_seq -0.075682610
## bisbas_bis -0.016238186
## bisbas_drive -0.098961401
## bisbas_fun_seek -0.029334880
## bisbas_reward_response -0.124848881
## mini_markers_extra 0.137877515
## mini_markers_agree 0.059887833
## mini_markers_conscientiousness 0.039179824
## mini_markers_neuroticism 0.040912182
## mini_markers_open 0.004744895
## swan_inattentive -0.034193511
## swan_hyperactive -0.065180895
## swan_combined -0.142139952
## tova_accuracy_frequent
## id -0.083345050
## axcpt_proactive_control 0.067195378
## axcpt_ax_mean_rt -0.145360047
## axcpt_ay_mean_rt -0.144556523
## axcpt_bx_mean_rt -0.149674244
## axcpt_by_mean_rt -0.131456591
## axcpt_ax_accuracy 0.129455165
## axcpt_ay_accuracy -0.018701541
## axcpt_bx_accuracy 0.085333261
## axcpt_by_accuracy 0.093292122
## axcpt_mean_rt -0.162819062
## axcpt_mean_accuracy 0.061109387
## antisaccade_error_rate -0.141230724
## antisaccade_mean_rt -0.049276250
## antisaccade_rt_sd -0.032249028
## flanker_error_rate_congruent 0.004515460
## flanker_mean_rt_congruent -0.175831225
## flanker_error_rate_incongruent -0.031428972
## flanker_mean_rt_incongruent -0.173239415
## flanker_rt_switchcost 0.079850303
## flanker_mean_rt -0.180978257
## flanker_mean_error_rate -0.023783721
## stroop_mean_rt_congruent -0.024916144
## stroop_mean_rt_incongruent 0.024241729
## stroop_error_rate_congruent -0.028245114
## stroop_error_rate_incongruent -0.132066879
## stroop_mean_rt_switchcost -0.024431161
## stroop_mean_rt 0.024050866
## stroop_mean_error_rate -0.088745790
## catswitch_accuracy_switch -0.001463447
## catswitch_accuracy_nonswitch 0.042039503
## catswitch_mean_rt_switch -0.071030660
## catswitch_mean_rt_nonswitch -0.064378274
## catswitch_rt_switchcost -0.045237085
## catswitch_mean_rt -0.073322874
## catswitch_accuracy 0.021734163
## updating_accuracy 0.112337010
## updating_num_correct 0.115961863
## updating_mean_rt 0.082201451
## supps_total -0.075577887
## supps_neg_urgency -0.079757649
## supps_lack_premed -0.116567880
## supps_lack_pers 0.002303991
## supps_sen_seek 0.014540552
## supps_pos_urgency -0.051657128
## tova_accuracy 0.879999512
## tova_mean_rt -0.316024523
## tova_rt_variability -0.492850982
## tova_mean_rt_infrequent -0.204868309
## tova_rt_variability_infrequent -0.282823463
## tova_accuracy_infrequent 0.615421811
## tova_mean_rt_frequent -0.334835166
## tova_rt_variability_frequent -0.523272344
## tova_accuracy_frequent 1.000000000
## tova_rt_variability_switchcost 0.367615299
## tova_false_alarm_frequent -0.151820613
## tova_misses_infrequent -0.615421811
## dm_accuracy_dog 0.050398084
## dm_accuracy_monkey -0.056592496
## dm_accuracy -0.071662779
## dm_mean_rt_dogs -0.061327843
## dm_mean_rt_monkey -0.084636593
## dm_mix_accuracy -0.081728639
## dm_mean_rt_mix_dog -0.087975895
## dm_mean_rt_mix_monkey -0.041670200
## dm_mean_rt -0.080431445
## cancellation_dog_score 0.069158153
## cancellation_monkey_score 0.063982234
## cancellation_mix_score 0.095051620
## forward_span_partial_score 0.143364020
## forward_span_longest_forward_seq 0.071987794
## bisbas_bis -0.053765924
## bisbas_drive 0.002355180
## bisbas_fun_seek 0.045673340
## bisbas_reward_response 0.023795139
## mini_markers_extra -0.128994861
## mini_markers_agree 0.015645581
## mini_markers_conscientiousness 0.066064162
## mini_markers_neuroticism -0.078823138
## mini_markers_open -0.009639847
## swan_inattentive -0.048555839
## swan_hyperactive 0.023678056
## swan_combined 0.048221991
## tova_rt_variability_switchcost
## id -0.096496670
## axcpt_proactive_control -0.059360834
## axcpt_ax_mean_rt -0.066072522
## axcpt_ay_mean_rt -0.121469682
## axcpt_bx_mean_rt -0.033348488
## axcpt_by_mean_rt -0.013308447
## axcpt_ax_accuracy -0.047527082
## axcpt_ay_accuracy -0.102172483
## axcpt_bx_accuracy -0.039442513
## axcpt_by_accuracy -0.083128251
## axcpt_mean_rt -0.062071264
## axcpt_mean_accuracy -0.082089808
## antisaccade_error_rate -0.085069767
## antisaccade_mean_rt -0.111062770
## antisaccade_rt_sd -0.079577510
## flanker_error_rate_congruent -0.043065967
## flanker_mean_rt_congruent -0.200793173
## flanker_error_rate_incongruent -0.021211566
## flanker_mean_rt_incongruent -0.165498663
## flanker_rt_switchcost 0.030587038
## flanker_mean_rt -0.187413170
## flanker_mean_error_rate -0.029406746
## stroop_mean_rt_congruent -0.032399857
## stroop_mean_rt_incongruent -0.037137663
## stroop_error_rate_congruent 0.029580290
## stroop_error_rate_incongruent -0.008404125
## stroop_mean_rt_switchcost 0.036887558
## stroop_mean_rt -0.037385604
## stroop_mean_error_rate 0.010291337
## catswitch_accuracy_switch 0.009205811
## catswitch_accuracy_nonswitch -0.030307746
## catswitch_mean_rt_switch -0.113629003
## catswitch_mean_rt_nonswitch -0.137966625
## catswitch_rt_switchcost -0.041236755
## catswitch_mean_rt -0.131577488
## catswitch_accuracy -0.011143960
## updating_accuracy 0.069936083
## updating_num_correct 0.071352013
## updating_mean_rt -0.086511171
## supps_total -0.003295597
## supps_neg_urgency 0.016561464
## supps_lack_premed -0.035394063
## supps_lack_pers -0.063011603
## supps_sen_seek 0.031073271
## supps_pos_urgency 0.009731025
## tova_accuracy 0.388032283
## tova_mean_rt -0.341273392
## tova_rt_variability -0.490762466
## tova_mean_rt_infrequent -0.093922232
## tova_rt_variability_infrequent 0.222873232
## tova_accuracy_infrequent 0.206305941
## tova_mean_rt_frequent -0.397588017
## tova_rt_variability_frequent -0.649594090
## tova_accuracy_frequent 0.367615299
## tova_rt_variability_switchcost 1.000000000
## tova_false_alarm_frequent -0.218092385
## tova_misses_infrequent -0.206305941
## dm_accuracy_dog -0.068064780
## dm_accuracy_monkey -0.069043223
## dm_accuracy -0.086779372
## dm_mean_rt_dogs -0.164420752
## dm_mean_rt_monkey -0.277865639
## dm_mix_accuracy -0.038884448
## dm_mean_rt_mix_dog -0.182036991
## dm_mean_rt_mix_monkey -0.158774701
## dm_mean_rt -0.227608207
## cancellation_dog_score 0.125876092
## cancellation_monkey_score 0.091570328
## cancellation_mix_score 0.166404066
## forward_span_partial_score -0.053858544
## forward_span_longest_forward_seq 0.011654260
## bisbas_bis -0.012473311
## bisbas_drive 0.012749931
## bisbas_fun_seek 0.015617601
## bisbas_reward_response 0.117358205
## mini_markers_extra -0.015297277
## mini_markers_agree -0.050503412
## mini_markers_conscientiousness -0.056234750
## mini_markers_neuroticism -0.022460803
## mini_markers_open -0.079238525
## swan_inattentive -0.006562053
## swan_hyperactive 0.058460799
## swan_combined 0.021347184
## tova_false_alarm_frequent
## id 0.015389784
## axcpt_proactive_control 0.178845871
## axcpt_ax_mean_rt -0.136623658
## axcpt_ay_mean_rt -0.078913395
## axcpt_bx_mean_rt -0.186965545
## axcpt_by_mean_rt -0.093414996
## axcpt_ax_accuracy -0.204054997
## axcpt_ay_accuracy -0.336196928
## axcpt_bx_accuracy -0.183713336
## axcpt_by_accuracy -0.166688155
## axcpt_mean_rt -0.144973431
## axcpt_mean_accuracy -0.288091945
## antisaccade_error_rate 0.295663600
## antisaccade_mean_rt 0.124285891
## antisaccade_rt_sd 0.088559822
## flanker_error_rate_congruent 0.009071778
## flanker_mean_rt_congruent 0.159093753
## flanker_error_rate_incongruent 0.166820031
## flanker_mean_rt_incongruent 0.225796922
## flanker_rt_switchcost -0.201654116
## flanker_mean_rt 0.204874182
## flanker_mean_error_rate 0.135808761
## stroop_mean_rt_congruent 0.050165230
## stroop_mean_rt_incongruent -0.020490815
## stroop_error_rate_congruent -0.037408055
## stroop_error_rate_incongruent 0.110534924
## stroop_mean_rt_switchcost 0.020873768
## stroop_mean_rt -0.020106642
## stroop_mean_error_rate 0.043266620
## catswitch_accuracy_switch -0.256609729
## catswitch_accuracy_nonswitch -0.270561182
## catswitch_mean_rt_switch -0.009545776
## catswitch_mean_rt_nonswitch -0.137133126
## catswitch_rt_switchcost 0.108261677
## catswitch_mean_rt -0.062310687
## catswitch_accuracy -0.287566083
## updating_accuracy -0.228972258
## updating_num_correct -0.232078566
## updating_mean_rt 0.125323592
## supps_total 0.019080519
## supps_neg_urgency 0.146910535
## supps_lack_premed 0.008267522
## supps_lack_pers 0.057820205
## supps_sen_seek -0.073981289
## supps_pos_urgency -0.067835947
## tova_accuracy -0.552526626
## tova_mean_rt -0.074906652
## tova_rt_variability 0.332168880
## tova_mean_rt_infrequent 0.015079460
## tova_rt_variability_infrequent 0.175701414
## tova_accuracy_infrequent -0.105396778
## tova_mean_rt_frequent -0.099992712
## tova_rt_variability_frequent 0.316609091
## tova_accuracy_frequent -0.151820613
## tova_rt_variability_switchcost -0.218092385
## tova_false_alarm_frequent 1.000000000
## tova_misses_infrequent 0.105396778
## dm_accuracy_dog -0.134921465
## dm_accuracy_monkey 0.010001603
## dm_accuracy -0.229540185
## dm_mean_rt_dogs 0.170345002
## dm_mean_rt_monkey 0.179752278
## dm_mix_accuracy -0.301678404
## dm_mean_rt_mix_dog 0.138562361
## dm_mean_rt_mix_monkey 0.166452738
## dm_mean_rt 0.191519674
## cancellation_dog_score -0.157208873
## cancellation_monkey_score -0.067004668
## cancellation_mix_score -0.202364950
## forward_span_partial_score -0.075978421
## forward_span_longest_forward_seq -0.121893723
## bisbas_bis -0.086585167
## bisbas_drive -0.084900917
## bisbas_fun_seek 0.027638065
## bisbas_reward_response -0.106819451
## mini_markers_extra -0.066168652
## mini_markers_agree 0.159314161
## mini_markers_conscientiousness 0.036788192
## mini_markers_neuroticism 0.093981314
## mini_markers_open 0.024716109
## swan_inattentive 0.035245822
## swan_hyperactive 0.019967563
## swan_combined -0.117363425
## tova_misses_infrequent dm_accuracy_dog
## id 5.079784e-02 0.1334795988
## axcpt_proactive_control -2.007970e-02 0.0075008512
## axcpt_ax_mean_rt 1.134662e-01 0.0463933769
## axcpt_ay_mean_rt 1.250494e-01 0.1114235123
## axcpt_bx_mean_rt 8.733112e-02 0.0667214374
## axcpt_by_mean_rt 8.331053e-02 0.0027064756
## axcpt_ax_accuracy -1.341060e-01 0.4185616420
## axcpt_ay_accuracy -4.965518e-02 0.1868686784
## axcpt_bx_accuracy -1.268083e-01 0.1089017236
## axcpt_by_accuracy -1.111737e-01 0.1315368469
## axcpt_mean_rt 1.140712e-01 0.0630937898
## axcpt_mean_accuracy -1.162062e-01 0.1937599897
## antisaccade_error_rate 9.616298e-02 0.0583991925
## antisaccade_mean_rt 3.380240e-02 -0.0076238946
## antisaccade_rt_sd 8.440485e-02 -0.0352885080
## flanker_error_rate_congruent 1.294116e-01 0.0067025487
## flanker_mean_rt_congruent 1.071835e-01 0.0591571275
## flanker_error_rate_incongruent 1.854601e-01 -0.0040118463
## flanker_mean_rt_incongruent 2.230576e-01 0.0304464086
## flanker_rt_switchcost -2.687983e-01 0.0253080899
## flanker_mean_rt 1.802736e-01 0.0443087911
## flanker_mean_error_rate 1.855420e-01 -0.0012617383
## stroop_mean_rt_congruent 6.758665e-02 0.0149014910
## stroop_mean_rt_incongruent -2.795826e-02 0.0095610621
## stroop_error_rate_congruent 2.230116e-01 0.0342749439
## stroop_error_rate_incongruent 2.766407e-01 -0.1025042210
## stroop_mean_rt_switchcost 2.847419e-02 -0.0094464463
## stroop_mean_rt -2.744067e-02 0.0096751233
## stroop_mean_error_rate 2.691240e-01 -0.0403341239
## catswitch_accuracy_switch -3.139353e-02 0.0285055222
## catswitch_accuracy_nonswitch -1.347615e-01 0.0064059629
## catswitch_mean_rt_switch 1.217455e-01 0.0024284172
## catswitch_mean_rt_nonswitch 1.620025e-01 -0.0002355342
## catswitch_rt_switchcost 3.156209e-02 0.0037149403
## catswitch_mean_rt 1.467659e-01 0.0015119935
## catswitch_accuracy -8.970359e-02 0.0192606994
## updating_accuracy -7.146406e-02 -0.0201398068
## updating_num_correct -7.492186e-02 -0.0204978997
## updating_mean_rt 3.818156e-02 -0.0228520449
## supps_total 1.093098e-01 -0.1498283432
## supps_neg_urgency 8.133635e-02 -0.1966896366
## supps_lack_premed 8.077422e-02 -0.1558128134
## supps_lack_pers 3.761878e-02 -0.0707578954
## supps_sen_seek 4.606482e-02 0.0056233600
## supps_pos_urgency 7.368880e-02 -0.0390855498
## tova_accuracy -6.775480e-01 0.0984882032
## tova_mean_rt 1.573423e-01 -0.0655623126
## tova_rt_variability 2.920886e-01 -0.1904652980
## tova_mean_rt_infrequent 7.534722e-02 -0.1342933879
## tova_rt_variability_infrequent 1.809167e-01 -0.2639663731
## tova_accuracy_infrequent -1.000000e+00 0.0021236105
## tova_mean_rt_frequent 1.785102e-01 -0.0391856154
## tova_rt_variability_frequent 3.109714e-01 -0.1498213663
## tova_accuracy_frequent -6.154218e-01 0.0503980842
## tova_rt_variability_switchcost -2.063059e-01 -0.0680647802
## tova_false_alarm_frequent 1.053968e-01 -0.1349214650
## tova_misses_infrequent 1.000000e+00 -0.0021236105
## dm_accuracy_dog -2.123611e-03 1.0000000000
## dm_accuracy_monkey -4.237110e-02 0.3699617318
## dm_accuracy -4.668726e-02 0.4884865684
## dm_mean_rt_dogs 1.575484e-01 0.0637469773
## dm_mean_rt_monkey 3.215754e-01 0.0679963436
## dm_mix_accuracy -2.943383e-02 0.1077696285
## dm_mean_rt_mix_dog 2.818965e-01 0.0415677167
## dm_mean_rt_mix_monkey 1.811285e-01 0.0313495795
## dm_mean_rt 2.768821e-01 0.0583427143
## cancellation_dog_score -5.925347e-02 0.0071487473
## cancellation_monkey_score -9.875963e-02 0.0182132784
## cancellation_mix_score -1.049035e-01 0.0491946871
## forward_span_partial_score -2.168260e-01 0.0924971749
## forward_span_longest_forward_seq -1.338205e-01 0.1151965466
## bisbas_bis 8.739195e-02 0.0725632563
## bisbas_drive -6.459834e-02 0.0366251353
## bisbas_fun_seek -1.391637e-01 0.0312898340
## bisbas_reward_response -1.402558e-02 0.0752168171
## mini_markers_extra 2.359146e-01 0.0069452745
## mini_markers_agree 4.266143e-05 -0.0547098080
## mini_markers_conscientiousness -2.484054e-02 0.1586060639
## mini_markers_neuroticism 2.430504e-02 -0.2125517781
## mini_markers_open 3.956472e-02 0.0132169033
## swan_inattentive -3.263376e-02 -0.1046792643
## swan_hyperactive 7.653548e-02 -0.0753650226
## swan_combined -5.728357e-02 0.0190860317
## dm_accuracy_monkey dm_accuracy
## id 0.1213439914 0.208819325
## axcpt_proactive_control -0.0607320920 -0.011098789
## axcpt_ax_mean_rt 0.0358307725 0.088522364
## axcpt_ay_mean_rt 0.0727570135 0.115622794
## axcpt_bx_mean_rt 0.0827392798 0.077171601
## axcpt_by_mean_rt 0.0557993801 0.042417403
## axcpt_ax_accuracy -0.0432278181 0.164784567
## axcpt_ay_accuracy 0.0354905748 0.215521729
## axcpt_bx_accuracy -0.0003853107 0.105546106
## axcpt_by_accuracy -0.0511847086 0.038334432
## axcpt_mean_rt 0.0725267738 0.089578437
## axcpt_mean_accuracy 0.0015595014 0.167264579
## antisaccade_error_rate 0.0450663781 0.019104716
## antisaccade_mean_rt 0.0458193581 0.085449578
## antisaccade_rt_sd 0.0387234581 0.039879742
## flanker_error_rate_congruent -0.0586895026 -0.043347999
## flanker_mean_rt_congruent 0.1101143324 0.164848148
## flanker_error_rate_incongruent -0.0790879545 -0.249994604
## flanker_mean_rt_incongruent 0.0342694626 0.023260767
## flanker_rt_switchcost 0.0890942808 0.185935390
## flanker_mean_rt 0.0691331244 0.086795120
## flanker_mean_error_rate -0.0801373600 -0.212138320
## stroop_mean_rt_congruent -0.0229516871 -0.039929611
## stroop_mean_rt_incongruent 0.0175184490 0.056936111
## stroop_error_rate_congruent -0.0546906233 -0.023819743
## stroop_error_rate_incongruent -0.0574442551 -0.103651141
## stroop_mean_rt_switchcost -0.0176932103 -0.057238692
## stroop_mean_rt 0.0173426518 0.056630176
## stroop_mean_error_rate -0.0601413679 -0.070490195
## catswitch_accuracy_switch -0.0900028096 0.137801583
## catswitch_accuracy_nonswitch -0.0137108886 0.203256310
## catswitch_mean_rt_switch 0.0029048393 0.103902260
## catswitch_mean_rt_nonswitch -0.0762320061 0.072770053
## catswitch_rt_switchcost 0.0720351536 0.085217792
## catswitch_mean_rt -0.0292006381 0.098517492
## catswitch_accuracy -0.0573191592 0.185511922
## updating_accuracy -0.0958969787 -0.035355512
## updating_num_correct -0.0954475394 -0.034198005
## updating_mean_rt 0.0709912857 0.026632631
## supps_total -0.0414869387 -0.100889404
## supps_neg_urgency -0.0907965818 -0.110806994
## supps_lack_premed -0.0584046021 -0.108268923
## supps_lack_pers 0.0014782706 -0.060191082
## supps_sen_seek 0.0244073430 -0.034262622
## supps_pos_urgency -0.0009897381 0.006199582
## tova_accuracy -0.0393551650 0.049842613
## tova_mean_rt 0.0403303419 0.076963304
## tova_rt_variability 0.0203229904 -0.023330371
## tova_mean_rt_infrequent 0.0212193463 0.006951317
## tova_rt_variability_infrequent -0.0348177647 -0.079108121
## tova_accuracy_infrequent 0.0423710951 0.046687265
## tova_mean_rt_frequent 0.0422801520 0.093802733
## tova_rt_variability_frequent 0.0296967533 0.009758974
## tova_accuracy_frequent -0.0565924958 -0.071662779
## tova_rt_variability_switchcost -0.0690432228 -0.086779372
## tova_false_alarm_frequent 0.0100016027 -0.229540185
## tova_misses_infrequent -0.0423710951 -0.046687265
## dm_accuracy_dog 0.3699617318 0.488486568
## dm_accuracy_monkey 1.0000000000 0.697331069
## dm_accuracy 0.6973310690 1.000000000
## dm_mean_rt_dogs 0.1382322515 0.042225778
## dm_mean_rt_monkey 0.1513958927 0.076712826
## dm_mix_accuracy 0.1309348786 0.756725916
## dm_mean_rt_mix_dog 0.1378267041 0.058071668
## dm_mean_rt_mix_monkey 0.1553991725 0.079108894
## dm_mean_rt 0.1717481506 0.076190581
## cancellation_dog_score -0.1438410976 -0.061047046
## cancellation_monkey_score -0.0015487532 0.059126616
## cancellation_mix_score -0.0808185572 0.013478132
## forward_span_partial_score -0.0728105112 0.037177895
## forward_span_longest_forward_seq -0.0691879368 0.080919888
## bisbas_bis -0.0210369583 0.012235303
## bisbas_drive -0.0794639127 -0.020316254
## bisbas_fun_seek 0.0282162924 0.014240268
## bisbas_reward_response 0.1288120522 0.076324520
## mini_markers_extra 0.0022316055 -0.037199727
## mini_markers_agree -0.0354977907 -0.116798691
## mini_markers_conscientiousness 0.0574446921 0.134490580
## mini_markers_neuroticism -0.1536368957 -0.184300337
## mini_markers_open 0.0232406924 -0.017463426
## swan_inattentive -0.0455334478 -0.108849247
## swan_hyperactive -0.0008404597 -0.082828697
## swan_combined 0.0364851183 0.027911639
## dm_mean_rt_dogs dm_mean_rt_monkey
## id 2.121649e-01 0.010787390
## axcpt_proactive_control 4.689289e-02 0.020505236
## axcpt_ax_mean_rt 1.704713e-01 0.241012090
## axcpt_ay_mean_rt 1.797894e-01 0.223056122
## axcpt_bx_mean_rt 6.806528e-02 0.107565086
## axcpt_by_mean_rt 9.907017e-02 0.172451185
## axcpt_ax_accuracy -4.004716e-02 -0.082831713
## axcpt_ay_accuracy -4.108710e-02 -0.103486970
## axcpt_bx_accuracy -8.641811e-03 -0.095018408
## axcpt_by_accuracy 3.995785e-02 -0.018092617
## axcpt_mean_rt 1.392349e-01 0.202603384
## axcpt_mean_accuracy -2.203711e-02 -0.104863034
## antisaccade_error_rate 2.174344e-01 0.315518755
## antisaccade_mean_rt 1.370781e-01 0.230411642
## antisaccade_rt_sd 1.354145e-01 0.249187382
## flanker_error_rate_congruent 3.303159e-01 0.016726486
## flanker_mean_rt_congruent 3.439805e-01 0.319065609
## flanker_error_rate_incongruent 3.842995e-01 0.177018066
## flanker_mean_rt_incongruent 3.078454e-01 0.430017691
## flanker_rt_switchcost -9.799300e-02 -0.361649268
## flanker_mean_rt 3.355484e-01 0.397286710
## flanker_mean_error_rate 4.024704e-01 0.146167297
## stroop_mean_rt_congruent -1.989809e-02 -0.003941420
## stroop_mean_rt_incongruent -6.516274e-02 -0.052583667
## stroop_error_rate_congruent 5.172555e-02 0.068358785
## stroop_error_rate_incongruent 6.901594e-02 0.081140415
## stroop_mean_rt_switchcost 6.500681e-02 0.052550599
## stroop_mean_rt -6.531486e-02 -0.052613654
## stroop_mean_error_rate 6.515399e-02 0.080433243
## catswitch_accuracy_switch -1.565602e-02 -0.045515918
## catswitch_accuracy_nonswitch -1.218586e-01 -0.141090811
## catswitch_mean_rt_switch 6.658901e-03 0.091628775
## catswitch_mean_rt_nonswitch 6.565528e-05 0.138248016
## catswitch_rt_switchcost 9.553442e-03 0.009229837
## catswitch_mean_rt 4.436495e-03 0.117123278
## catswitch_accuracy -7.404671e-02 -0.100938265
## updating_accuracy -1.022063e-01 -0.149433714
## updating_num_correct -1.033030e-01 -0.151022915
## updating_mean_rt 1.439547e-01 0.208756256
## supps_total -2.332634e-01 -0.199583813
## supps_neg_urgency -1.170364e-01 -0.119587960
## supps_lack_premed -1.425618e-01 -0.052500741
## supps_lack_pers 5.123176e-02 0.097750920
## supps_sen_seek -2.028338e-01 -0.250352824
## supps_pos_urgency -2.146673e-01 -0.166665982
## tova_accuracy -1.424595e-01 -0.217691362
## tova_mean_rt 1.235676e-01 0.219535319
## tova_rt_variability 1.350124e-01 0.197118380
## tova_mean_rt_infrequent 9.226381e-02 0.135618888
## tova_rt_variability_infrequent 1.246771e-02 -0.012730282
## tova_accuracy_infrequent -1.575484e-01 -0.321575418
## tova_mean_rt_frequent 1.254758e-01 0.232393841
## tova_rt_variability_frequent 1.451096e-01 0.218869695
## tova_accuracy_frequent -6.132784e-02 -0.084636593
## tova_rt_variability_switchcost -1.644208e-01 -0.277865639
## tova_false_alarm_frequent 1.703450e-01 0.179752278
## tova_misses_infrequent 1.575484e-01 0.321575418
## dm_accuracy_dog 6.374698e-02 0.067996344
## dm_accuracy_monkey 1.382323e-01 0.151395893
## dm_accuracy 4.222578e-02 0.076712826
## dm_mean_rt_dogs 1.000000e+00 0.577585449
## dm_mean_rt_monkey 5.775854e-01 1.000000000
## dm_mix_accuracy -7.642500e-02 -0.039199478
## dm_mean_rt_mix_dog 5.638634e-01 0.691327845
## dm_mean_rt_mix_monkey 4.496860e-01 0.554555026
## dm_mean_rt 7.421981e-01 0.821496813
## cancellation_dog_score -2.579718e-01 -0.297761194
## cancellation_monkey_score -3.025474e-01 -0.331916426
## cancellation_mix_score -2.807951e-01 -0.298887559
## forward_span_partial_score -2.069369e-01 -0.229182248
## forward_span_longest_forward_seq -2.510714e-01 -0.267227064
## bisbas_bis 1.800981e-02 -0.011372950
## bisbas_drive -5.991467e-02 -0.031979238
## bisbas_fun_seek 9.791533e-02 0.198529597
## bisbas_reward_response -4.338274e-02 -0.006741701
## mini_markers_extra 7.129144e-02 -0.004077172
## mini_markers_agree 1.145455e-01 -0.031458124
## mini_markers_conscientiousness 2.045675e-01 0.110273311
## mini_markers_neuroticism -1.077022e-01 -0.051077564
## mini_markers_open 1.272222e-01 -0.010265673
## swan_inattentive -1.250350e-01 -0.091938044
## swan_hyperactive -7.969698e-02 -0.090976326
## swan_combined -2.107162e-02 -0.012802308
## dm_mix_accuracy dm_mean_rt_mix_dog
## id 0.172784774 0.097648083
## axcpt_proactive_control 0.014545495 -0.038720863
## axcpt_ax_mean_rt 0.077595000 0.316945767
## axcpt_ay_mean_rt 0.071869249 0.366631185
## axcpt_bx_mean_rt 0.033231106 0.250091770
## axcpt_by_mean_rt 0.013429589 0.292690602
## axcpt_ax_accuracy 0.118305648 -0.133920014
## axcpt_ay_accuracy 0.222365885 -0.129276319
## axcpt_bx_accuracy 0.105036957 -0.117132830
## axcpt_by_accuracy 0.027127598 -0.013211664
## axcpt_mean_rt 0.051788231 0.343060872
## axcpt_mean_accuracy 0.165067198 -0.132653464
## antisaccade_error_rate -0.011982277 0.401100073
## antisaccade_mean_rt 0.108266133 0.356695201
## antisaccade_rt_sd 0.063496759 0.351522029
## flanker_error_rate_congruent -0.008721443 0.037361452
## flanker_mean_rt_congruent 0.138968755 0.445475310
## flanker_error_rate_incongruent -0.301539893 0.136593567
## flanker_mean_rt_incongruent 0.004044134 0.488673051
## flanker_rt_switchcost 0.185916112 -0.295568004
## flanker_mean_rt 0.063899143 0.488153774
## flanker_mean_error_rate -0.243261464 0.119870355
## stroop_mean_rt_congruent -0.045734281 0.032634397
## stroop_mean_rt_incongruent 0.064917172 -0.005044428
## stroop_error_rate_congruent 0.004616388 0.062827062
## stroop_error_rate_incongruent -0.073802793 0.165461676
## stroop_mean_rt_switchcost -0.065263756 0.005294008
## stroop_mean_rt 0.064566763 -0.004794538
## stroop_mean_error_rate -0.039230972 0.125124712
## catswitch_accuracy_switch 0.266867672 -0.158541437
## catswitch_accuracy_nonswitch 0.313753275 -0.268215701
## catswitch_mean_rt_switch 0.149773810 0.193670316
## catswitch_mean_rt_nonswitch 0.179819450 0.213752957
## catswitch_rt_switchcost 0.056163793 0.089327857
## catswitch_mean_rt 0.172601308 0.215525166
## catswitch_accuracy 0.316425620 -0.231864800
## updating_accuracy 0.027127817 -0.222878137
## updating_num_correct 0.028564632 -0.224886831
## updating_mean_rt -0.024141847 0.213927192
## supps_total -0.096222362 -0.130404812
## supps_neg_urgency -0.043679217 -0.013150899
## supps_lack_premed -0.089269910 -0.207919681
## supps_lack_pers -0.059922557 0.035351705
## supps_sen_seek -0.078509980 -0.143988238
## supps_pos_urgency -0.017306823 -0.044292933
## tova_accuracy 0.066895512 -0.182258933
## tova_mean_rt 0.094323944 0.315694526
## tova_rt_variability 0.006734258 0.249975357
## tova_mean_rt_infrequent 0.020142515 0.294904422
## tova_rt_variability_infrequent 0.001544735 0.122229683
## tova_accuracy_infrequent 0.029433832 -0.281896494
## tova_mean_rt_frequent 0.111784005 0.305380101
## tova_rt_variability_frequent 0.033222672 0.245218156
## tova_accuracy_frequent -0.081728639 -0.087975895
## tova_rt_variability_switchcost -0.038884448 -0.182036991
## tova_false_alarm_frequent -0.301678404 0.138562361
## tova_misses_infrequent -0.029433832 0.281896494
## dm_accuracy_dog 0.107769628 0.041567717
## dm_accuracy_monkey 0.130934879 0.137826704
## dm_accuracy 0.756725916 0.058071668
## dm_mean_rt_dogs -0.076424995 0.563863353
## dm_mean_rt_monkey -0.039199478 0.691327845
## dm_mix_accuracy 1.000000000 -0.055231924
## dm_mean_rt_mix_dog -0.055231924 1.000000000
## dm_mean_rt_mix_monkey -0.031593014 0.865028477
## dm_mean_rt -0.058371255 0.936905781
## cancellation_dog_score 0.027112754 -0.485946815
## cancellation_monkey_score 0.095145473 -0.537406433
## cancellation_mix_score 0.079927649 -0.541448858
## forward_span_partial_score 0.066365127 -0.377162452
## forward_span_longest_forward_seq 0.118537296 -0.378624772
## bisbas_bis -0.019120691 0.039707014
## bisbas_drive 0.044442799 -0.128421246
## bisbas_fun_seek -0.021942340 0.080496848
## bisbas_reward_response -0.014200131 -0.060779324
## mini_markers_extra -0.063766456 0.038279865
## mini_markers_agree -0.116003563 0.056229289
## mini_markers_conscientiousness 0.112989577 0.133185154
## mini_markers_neuroticism -0.077079370 -0.018371641
## mini_markers_open -0.045179072 0.060867277
## swan_inattentive -0.095235156 -0.104235516
## swan_hyperactive -0.121767739 -0.096563778
## swan_combined -0.017311877 -0.098548773
## dm_mean_rt_mix_monkey dm_mean_rt
## id 0.092181622 0.119474833
## axcpt_proactive_control -0.026765407 -0.003649162
## axcpt_ax_mean_rt 0.324549264 0.317340938
## axcpt_ay_mean_rt 0.378178363 0.348587853
## axcpt_bx_mean_rt 0.241571396 0.206332457
## axcpt_by_mean_rt 0.258204179 0.250838851
## axcpt_ax_accuracy -0.111697151 -0.112319306
## axcpt_ay_accuracy -0.022670981 -0.087180413
## axcpt_bx_accuracy -0.079412232 -0.091408303
## axcpt_by_accuracy 0.018516977 0.007388829
## axcpt_mean_rt 0.334375171 0.310604535
## axcpt_mean_accuracy -0.062064393 -0.096733997
## antisaccade_error_rate 0.410448253 0.404758201
## antisaccade_mean_rt 0.331159589 0.320783838
## antisaccade_rt_sd 0.333136981 0.324373571
## flanker_error_rate_congruent 0.040248977 0.115121292
## flanker_mean_rt_congruent 0.470508435 0.472487077
## flanker_error_rate_incongruent 0.024119131 0.198377577
## flanker_mean_rt_incongruent 0.478053196 0.509147281
## flanker_rt_switchcost -0.240809846 -0.296328935
## flanker_mean_rt 0.492905463 0.512299794
## flanker_mean_error_rate 0.030912180 0.191716030
## stroop_mean_rt_congruent 0.069711794 0.027307468
## stroop_mean_rt_incongruent 0.005065353 -0.030845962
## stroop_error_rate_congruent 0.018763415 0.057972256
## stroop_error_rate_incongruent 0.114376258 0.130341619
## stroop_mean_rt_switchcost -0.004531341 0.031053340
## stroop_mean_rt 0.005599095 -0.030636766
## stroop_mean_error_rate 0.073963634 0.102874182
## catswitch_accuracy_switch -0.184553780 -0.128020130
## catswitch_accuracy_nonswitch -0.262467264 -0.241913292
## catswitch_mean_rt_switch 0.231674021 0.164855576
## catswitch_mean_rt_nonswitch 0.224809193 0.179781301
## catswitch_rt_switchcost 0.134345349 0.077967702
## catswitch_mean_rt 0.245206246 0.182573252
## catswitch_accuracy -0.243222751 -0.200814169
## updating_accuracy -0.243843811 -0.218392543
## updating_num_correct -0.245728358 -0.220367404
## updating_mean_rt 0.201719304 0.228250977
## supps_total -0.102522718 -0.189331914
## supps_neg_urgency 0.022315205 -0.059067278
## supps_lack_premed -0.179861589 -0.176947080
## supps_lack_pers 0.072582318 0.074710025
## supps_sen_seek -0.135910472 -0.210435106
## supps_pos_urgency -0.062936470 -0.135057323
## tova_accuracy -0.149528806 -0.202847479
## tova_mean_rt 0.288946047 0.287294399
## tova_rt_variability 0.206639989 0.235992338
## tova_mean_rt_infrequent 0.257828868 0.239811614
## tova_rt_variability_infrequent 0.094969438 0.070360187
## tova_accuracy_infrequent -0.181128512 -0.276882094
## tova_mean_rt_frequent 0.282235857 0.285704974
## tova_rt_variability_frequent 0.204803497 0.242289163
## tova_accuracy_frequent -0.041670200 -0.080431445
## tova_rt_variability_switchcost -0.158774701 -0.227608207
## tova_false_alarm_frequent 0.166452738 0.191519674
## tova_misses_infrequent 0.181128512 0.276882094
## dm_accuracy_dog 0.031349579 0.058342714
## dm_accuracy_monkey 0.155399172 0.171748151
## dm_accuracy 0.079108894 0.076190581
## dm_mean_rt_dogs 0.449685964 0.742198102
## dm_mean_rt_monkey 0.554555026 0.821496813
## dm_mix_accuracy -0.031593014 -0.058371255
## dm_mean_rt_mix_dog 0.865028477 0.936905781
## dm_mean_rt_mix_monkey 1.000000000 0.872245439
## dm_mean_rt 0.872245439 1.000000000
## cancellation_dog_score -0.463946683 -0.455345884
## cancellation_monkey_score -0.522842597 -0.511953280
## cancellation_mix_score -0.497071851 -0.490269440
## forward_span_partial_score -0.374385365 -0.359359803
## forward_span_longest_forward_seq -0.389956979 -0.386563430
## bisbas_bis -0.010431896 0.010873549
## bisbas_drive -0.153173646 -0.115812623
## bisbas_fun_seek 0.088782298 0.133546195
## bisbas_reward_response -0.114110386 -0.070213465
## mini_markers_extra -0.037879249 0.017056575
## mini_markers_agree 0.092237448 0.069699257
## mini_markers_conscientiousness 0.112267137 0.162140143
## mini_markers_neuroticism -0.009708520 -0.050591890
## mini_markers_open 0.025358063 0.058009582
## swan_inattentive -0.044048297 -0.104847179
## swan_hyperactive -0.050356675 -0.092501694
## swan_combined -0.070956694 -0.063890789
## cancellation_dog_score
## id 0.054240981
## axcpt_proactive_control 0.094266445
## axcpt_ax_mean_rt -0.336780996
## axcpt_ay_mean_rt -0.394707861
## axcpt_bx_mean_rt -0.307470859
## axcpt_by_mean_rt -0.275011176
## axcpt_ax_accuracy 0.098845328
## axcpt_ay_accuracy -0.026954859
## axcpt_bx_accuracy 0.076774512
## axcpt_by_accuracy -0.011334959
## axcpt_mean_rt -0.369425219
## axcpt_mean_accuracy 0.034527155
## antisaccade_error_rate -0.393230781
## antisaccade_mean_rt -0.388922552
## antisaccade_rt_sd -0.381277557
## flanker_error_rate_congruent -0.076073772
## flanker_mean_rt_congruent -0.400800706
## flanker_error_rate_incongruent -0.070430222
## flanker_mean_rt_incongruent -0.404973773
## flanker_rt_switchcost 0.200908798
## flanker_mean_rt -0.418537155
## flanker_mean_error_rate -0.078260109
## stroop_mean_rt_congruent -0.098471963
## stroop_mean_rt_incongruent -0.011440821
## stroop_error_rate_congruent 0.086276141
## stroop_error_rate_incongruent -0.044756919
## stroop_mean_rt_switchcost 0.010686263
## stroop_mean_rt -0.012194748
## stroop_mean_error_rate 0.018611833
## catswitch_accuracy_switch 0.108805049
## catswitch_accuracy_nonswitch 0.118918580
## catswitch_mean_rt_switch -0.301753674
## catswitch_mean_rt_nonswitch -0.293328756
## catswitch_rt_switchcost -0.174524180
## catswitch_mean_rt -0.319590161
## catswitch_accuracy 0.124182305
## updating_accuracy 0.202604525
## updating_num_correct 0.204690239
## updating_mean_rt -0.351323197
## supps_total 0.102738213
## supps_neg_urgency 0.010875128
## supps_lack_premed 0.188228847
## supps_lack_pers 0.002050962
## supps_sen_seek 0.017297174
## supps_pos_urgency 0.105700081
## tova_accuracy 0.134091283
## tova_mean_rt -0.335623971
## tova_rt_variability -0.281293846
## tova_mean_rt_infrequent -0.353950274
## tova_rt_variability_infrequent -0.203324693
## tova_accuracy_infrequent 0.059253472
## tova_mean_rt_frequent -0.310939412
## tova_rt_variability_frequent -0.262220382
## tova_accuracy_frequent 0.069158153
## tova_rt_variability_switchcost 0.125876092
## tova_false_alarm_frequent -0.157208873
## tova_misses_infrequent -0.059253472
## dm_accuracy_dog 0.007148747
## dm_accuracy_monkey -0.143841098
## dm_accuracy -0.061047046
## dm_mean_rt_dogs -0.257971754
## dm_mean_rt_monkey -0.297761194
## dm_mix_accuracy 0.027112754
## dm_mean_rt_mix_dog -0.485946815
## dm_mean_rt_mix_monkey -0.463946683
## dm_mean_rt -0.455345884
## cancellation_dog_score 1.000000000
## cancellation_monkey_score 0.683831773
## cancellation_mix_score 0.590228758
## forward_span_partial_score 0.319610542
## forward_span_longest_forward_seq 0.258091664
## bisbas_bis 0.008775571
## bisbas_drive 0.185974926
## bisbas_fun_seek -0.021429363
## bisbas_reward_response 0.185476114
## mini_markers_extra -0.029849697
## mini_markers_agree -0.057414567
## mini_markers_conscientiousness -0.099427486
## mini_markers_neuroticism 0.033364629
## mini_markers_open -0.071638817
## swan_inattentive 0.018667074
## swan_hyperactive 0.056348533
## swan_combined 0.087430395
## cancellation_monkey_score
## id 0.022044423
## axcpt_proactive_control 0.090003615
## axcpt_ax_mean_rt -0.285583846
## axcpt_ay_mean_rt -0.375590123
## axcpt_bx_mean_rt -0.303254884
## axcpt_by_mean_rt -0.266252160
## axcpt_ax_accuracy 0.160237118
## axcpt_ay_accuracy 0.035686893
## axcpt_bx_accuracy 0.131946066
## axcpt_by_accuracy 0.055950952
## axcpt_mean_rt -0.348438123
## axcpt_mean_accuracy 0.108193310
## antisaccade_error_rate -0.395338905
## antisaccade_mean_rt -0.341857774
## antisaccade_rt_sd -0.328513900
## flanker_error_rate_congruent -0.036992168
## flanker_mean_rt_congruent -0.346244016
## flanker_error_rate_incongruent -0.092801230
## flanker_mean_rt_incongruent -0.377957338
## flanker_rt_switchcost 0.226239583
## flanker_mean_rt -0.378306758
## flanker_mean_error_rate -0.084801611
## stroop_mean_rt_congruent -0.092647765
## stroop_mean_rt_incongruent 0.051824501
## stroop_error_rate_congruent 0.116252036
## stroop_error_rate_incongruent -0.020347265
## stroop_mean_rt_switchcost -0.052530989
## stroop_mean_rt 0.051114939
## stroop_mean_error_rate 0.047589376
## catswitch_accuracy_switch 0.108568950
## catswitch_accuracy_nonswitch 0.161244885
## catswitch_mean_rt_switch -0.315835421
## catswitch_mean_rt_nonswitch -0.297961957
## catswitch_rt_switchcost -0.190727364
## catswitch_mean_rt -0.330807104
## catswitch_accuracy 0.146751658
## updating_accuracy 0.138365139
## updating_num_correct 0.140157936
## updating_mean_rt -0.327300177
## supps_total 0.066528525
## supps_neg_urgency -0.063424752
## supps_lack_premed 0.103341295
## supps_lack_pers -0.026376192
## supps_sen_seek 0.082856175
## supps_pos_urgency 0.096020161
## tova_accuracy 0.103126371
## tova_mean_rt -0.314332626
## tova_rt_variability -0.163767728
## tova_mean_rt_infrequent -0.336241448
## tova_rt_variability_infrequent -0.097057059
## tova_accuracy_infrequent 0.098759630
## tova_mean_rt_frequent -0.291230058
## tova_rt_variability_frequent -0.151094714
## tova_accuracy_frequent 0.063982234
## tova_rt_variability_switchcost 0.091570328
## tova_false_alarm_frequent -0.067004668
## tova_misses_infrequent -0.098759630
## dm_accuracy_dog 0.018213278
## dm_accuracy_monkey -0.001548753
## dm_accuracy 0.059126616
## dm_mean_rt_dogs -0.302547368
## dm_mean_rt_monkey -0.331916426
## dm_mix_accuracy 0.095145473
## dm_mean_rt_mix_dog -0.537406433
## dm_mean_rt_mix_monkey -0.522842597
## dm_mean_rt -0.511953280
## cancellation_dog_score 0.683831773
## cancellation_monkey_score 1.000000000
## cancellation_mix_score 0.619169467
## forward_span_partial_score 0.366551174
## forward_span_longest_forward_seq 0.353553649
## bisbas_bis -0.003382071
## bisbas_drive 0.061621616
## bisbas_fun_seek -0.065857795
## bisbas_reward_response 0.060535693
## mini_markers_extra -0.037649207
## mini_markers_agree -0.093144919
## mini_markers_conscientiousness -0.065027071
## mini_markers_neuroticism -0.011640637
## mini_markers_open -0.108087941
## swan_inattentive -0.130652462
## swan_hyperactive -0.015436808
## swan_combined 0.054696006
## cancellation_mix_score
## id -0.003433402
## axcpt_proactive_control 0.005776126
## axcpt_ax_mean_rt -0.294998679
## axcpt_ay_mean_rt -0.398431813
## axcpt_bx_mean_rt -0.243469680
## axcpt_by_mean_rt -0.304975003
## axcpt_ax_accuracy 0.176546826
## axcpt_ay_accuracy 0.133463884
## axcpt_bx_accuracy 0.099881123
## axcpt_by_accuracy 0.155827430
## axcpt_mean_rt -0.347479931
## axcpt_mean_accuracy 0.150601508
## antisaccade_error_rate -0.426468029
## antisaccade_mean_rt -0.267614389
## antisaccade_rt_sd -0.233150475
## flanker_error_rate_congruent -0.077812425
## flanker_mean_rt_congruent -0.338802883
## flanker_error_rate_incongruent -0.101322141
## flanker_mean_rt_incongruent -0.328205654
## flanker_rt_switchcost 0.143359678
## flanker_mean_rt -0.345383417
## flanker_mean_error_rate -0.103426336
## stroop_mean_rt_congruent -0.086008460
## stroop_mean_rt_incongruent 0.027428343
## stroop_error_rate_congruent 0.031807904
## stroop_error_rate_incongruent -0.097633034
## stroop_mean_rt_switchcost -0.028085340
## stroop_mean_rt 0.026769705
## stroop_mean_error_rate -0.038843164
## catswitch_accuracy_switch 0.200699915
## catswitch_accuracy_nonswitch 0.231048991
## catswitch_mean_rt_switch -0.298025180
## catswitch_mean_rt_nonswitch -0.288077861
## catswitch_rt_switchcost -0.173815235
## catswitch_mean_rt -0.314977204
## catswitch_accuracy 0.235336166
## updating_accuracy 0.222713520
## updating_num_correct 0.223382360
## updating_mean_rt -0.270622907
## supps_total -0.023603808
## supps_neg_urgency -0.048859630
## supps_lack_premed 0.121840163
## supps_lack_pers -0.078837215
## supps_sen_seek -0.006530561
## supps_pos_urgency -0.045613115
## tova_accuracy 0.174406697
## tova_mean_rt -0.331855331
## tova_rt_variability -0.302070520
## tova_mean_rt_infrequent -0.350492832
## tova_rt_variability_infrequent -0.190989507
## tova_accuracy_infrequent 0.104903470
## tova_mean_rt_frequent -0.309200113
## tova_rt_variability_frequent -0.285971436
## tova_accuracy_frequent 0.095051620
## tova_rt_variability_switchcost 0.166404066
## tova_false_alarm_frequent -0.202364950
## tova_misses_infrequent -0.104903470
## dm_accuracy_dog 0.049194687
## dm_accuracy_monkey -0.080818557
## dm_accuracy 0.013478132
## dm_mean_rt_dogs -0.280795125
## dm_mean_rt_monkey -0.298887559
## dm_mix_accuracy 0.079927649
## dm_mean_rt_mix_dog -0.541448858
## dm_mean_rt_mix_monkey -0.497071851
## dm_mean_rt -0.490269440
## cancellation_dog_score 0.590228758
## cancellation_monkey_score 0.619169467
## cancellation_mix_score 1.000000000
## forward_span_partial_score 0.286591323
## forward_span_longest_forward_seq 0.369316318
## bisbas_bis -0.054609307
## bisbas_drive 0.177295879
## bisbas_fun_seek 0.027463894
## bisbas_reward_response 0.104245639
## mini_markers_extra -0.011930894
## mini_markers_agree 0.024844913
## mini_markers_conscientiousness -0.009657712
## mini_markers_neuroticism 0.086097954
## mini_markers_open -0.057837742
## swan_inattentive -0.100872962
## swan_hyperactive 0.053970110
## swan_combined 0.149811481
## forward_span_partial_score
## id -0.075870364
## axcpt_proactive_control 0.024065561
## axcpt_ax_mean_rt -0.190021113
## axcpt_ay_mean_rt -0.172947267
## axcpt_bx_mean_rt -0.119002506
## axcpt_by_mean_rt -0.170993215
## axcpt_ax_accuracy 0.258181880
## axcpt_ay_accuracy 0.085970056
## axcpt_bx_accuracy 0.188295028
## axcpt_by_accuracy 0.048292499
## axcpt_mean_rt -0.181608410
## axcpt_mean_accuracy 0.166464809
## antisaccade_error_rate -0.314069921
## antisaccade_mean_rt -0.163432216
## antisaccade_rt_sd -0.195144921
## flanker_error_rate_congruent -0.103690119
## flanker_mean_rt_congruent -0.292385801
## flanker_error_rate_incongruent -0.159629377
## flanker_mean_rt_incongruent -0.316865400
## flanker_rt_switchcost 0.186736216
## flanker_mean_rt -0.318090938
## flanker_mean_error_rate -0.157470641
## stroop_mean_rt_congruent 0.025178361
## stroop_mean_rt_incongruent 0.154912281
## stroop_error_rate_congruent 0.038631530
## stroop_error_rate_incongruent -0.103724048
## stroop_mean_rt_switchcost -0.154710989
## stroop_mean_rt 0.155104501
## stroop_mean_error_rate -0.038808312
## catswitch_accuracy_switch 0.211445948
## catswitch_accuracy_nonswitch 0.242441905
## catswitch_mean_rt_switch -0.102868698
## catswitch_mean_rt_nonswitch -0.141478990
## catswitch_rt_switchcost -0.022578857
## catswitch_mean_rt -0.125885788
## catswitch_accuracy 0.247412150
## updating_accuracy 0.216833916
## updating_num_correct 0.218715006
## updating_mean_rt -0.180936922
## supps_total 0.097732558
## supps_neg_urgency -0.042628990
## supps_lack_premed 0.177190907
## supps_lack_pers 0.063652460
## supps_sen_seek -0.011165944
## supps_pos_urgency 0.147605015
## tova_accuracy 0.196141469
## tova_mean_rt -0.187212523
## tova_rt_variability -0.153658654
## tova_mean_rt_infrequent -0.224609436
## tova_rt_variability_infrequent -0.212839014
## tova_accuracy_infrequent 0.216826030
## tova_mean_rt_frequent -0.164293493
## tova_rt_variability_frequent -0.121644851
## tova_accuracy_frequent 0.143364020
## tova_rt_variability_switchcost -0.053858544
## tova_false_alarm_frequent -0.075978421
## tova_misses_infrequent -0.216826030
## dm_accuracy_dog 0.092497175
## dm_accuracy_monkey -0.072810511
## dm_accuracy 0.037177895
## dm_mean_rt_dogs -0.206936948
## dm_mean_rt_monkey -0.229182248
## dm_mix_accuracy 0.066365127
## dm_mean_rt_mix_dog -0.377162452
## dm_mean_rt_mix_monkey -0.374385365
## dm_mean_rt -0.359359803
## cancellation_dog_score 0.319610542
## cancellation_monkey_score 0.366551174
## cancellation_mix_score 0.286591323
## forward_span_partial_score 1.000000000
## forward_span_longest_forward_seq 0.787320938
## bisbas_bis 0.046932815
## bisbas_drive 0.173216539
## bisbas_fun_seek -0.094408311
## bisbas_reward_response 0.033741610
## mini_markers_extra -0.063866667
## mini_markers_agree -0.088940434
## mini_markers_conscientiousness -0.089240247
## mini_markers_neuroticism -0.008655370
## mini_markers_open -0.009905968
## swan_inattentive 0.034289178
## swan_hyperactive -0.019725793
## swan_combined 0.011112732
## forward_span_longest_forward_seq bisbas_bis
## id -0.0165037872 -0.019435460
## axcpt_proactive_control -0.0397398415 0.153434530
## axcpt_ax_mean_rt -0.1272614675 -0.011785615
## axcpt_ay_mean_rt -0.1230695922 0.039638263
## axcpt_bx_mean_rt -0.0539095705 -0.079198453
## axcpt_by_mean_rt -0.0815368979 -0.029385054
## axcpt_ax_accuracy 0.1571075855 -0.088417951
## axcpt_ay_accuracy 0.0821590564 -0.162667303
## axcpt_bx_accuracy 0.1149786460 0.008932477
## axcpt_by_accuracy -0.0311145240 -0.060245332
## axcpt_mean_rt -0.1045371212 -0.029218590
## axcpt_mean_accuracy 0.1059304725 -0.080399517
## antisaccade_error_rate -0.3139622470 -0.026244153
## antisaccade_mean_rt -0.1864297866 0.108708241
## antisaccade_rt_sd -0.1855827752 0.146454232
## flanker_error_rate_congruent -0.1429911716 0.043663332
## flanker_mean_rt_congruent -0.1998622570 -0.005987141
## flanker_error_rate_incongruent -0.1494503294 0.081446406
## flanker_mean_rt_incongruent -0.2211459413 -0.030488346
## flanker_rt_switchcost 0.1361729543 0.048802563
## flanker_mean_rt -0.2201433287 -0.020807240
## flanker_mean_error_rate -0.1607261978 0.077668486
## stroop_mean_rt_congruent -0.0180585001 -0.078003108
## stroop_mean_rt_incongruent 0.1396677307 -0.006331140
## stroop_error_rate_congruent 0.0280913638 0.164049783
## stroop_error_rate_incongruent -0.0852272670 0.058791001
## stroop_mean_rt_switchcost -0.1397983112 0.005733578
## stroop_mean_rt 0.1395289557 -0.006928361
## stroop_mean_error_rate -0.0337423877 0.116450479
## catswitch_accuracy_switch 0.1804844394 -0.049795911
## catswitch_accuracy_nonswitch 0.2069121028 -0.026770278
## catswitch_mean_rt_switch -0.0745684355 0.067366896
## catswitch_mean_rt_nonswitch -0.1520252348 0.084300718
## catswitch_rt_switchcost 0.0276570554 0.022218744
## catswitch_mean_rt -0.1114505134 0.079030650
## catswitch_accuracy 0.2111683067 -0.042001999
## updating_accuracy 0.3088843344 -0.046428238
## updating_num_correct 0.3102583669 -0.044404828
## updating_mean_rt -0.1412761912 -0.056076950
## supps_total 0.1945496865 0.037663206
## supps_neg_urgency 0.0008910436 -0.251033964
## supps_lack_premed 0.2195842328 0.068033417
## supps_lack_pers 0.0704235284 0.082767662
## supps_sen_seek 0.1131496930 0.261975720
## supps_pos_urgency 0.1885884724 -0.040290035
## tova_accuracy 0.1459862215 -0.008445465
## tova_mean_rt -0.1444106984 -0.024784428
## tova_rt_variability -0.0868687401 -0.027143398
## tova_mean_rt_infrequent -0.1753412517 -0.042427710
## tova_rt_variability_infrequent -0.0847372069 -0.033990185
## tova_accuracy_infrequent 0.1338204509 -0.087391951
## tova_mean_rt_frequent -0.1260821398 -0.017557000
## tova_rt_variability_frequent -0.0756826095 -0.016238186
## tova_accuracy_frequent 0.0719877939 -0.053765924
## tova_rt_variability_switchcost 0.0116542601 -0.012473311
## tova_false_alarm_frequent -0.1218937234 -0.086585167
## tova_misses_infrequent -0.1338204509 0.087391951
## dm_accuracy_dog 0.1151965466 0.072563256
## dm_accuracy_monkey -0.0691879368 -0.021036958
## dm_accuracy 0.0809198879 0.012235303
## dm_mean_rt_dogs -0.2510714138 0.018009807
## dm_mean_rt_monkey -0.2672270636 -0.011372950
## dm_mix_accuracy 0.1185372958 -0.019120691
## dm_mean_rt_mix_dog -0.3786247719 0.039707014
## dm_mean_rt_mix_monkey -0.3899569793 -0.010431896
## dm_mean_rt -0.3865634302 0.010873549
## cancellation_dog_score 0.2580916635 0.008775571
## cancellation_monkey_score 0.3535536489 -0.003382071
## cancellation_mix_score 0.3693163177 -0.054609307
## forward_span_partial_score 0.7873209381 0.046932815
## forward_span_longest_forward_seq 1.0000000000 0.076168717
## bisbas_bis 0.0761687168 1.000000000
## bisbas_drive 0.1442759920 -0.095421898
## bisbas_fun_seek -0.1560023443 -0.113554785
## bisbas_reward_response 0.0900205892 0.247506350
## mini_markers_extra 0.0256482979 0.153718117
## mini_markers_agree -0.0884198658 -0.154403084
## mini_markers_conscientiousness -0.0806044071 -0.001691287
## mini_markers_neuroticism -0.0149867485 -0.338121048
## mini_markers_open -0.0397223878 0.045552586
## swan_inattentive 0.0877969990 -0.102405875
## swan_hyperactive 0.1263650936 -0.097108628
## swan_combined 0.1092178934 -0.033553431
## bisbas_drive bisbas_fun_seek
## id 0.029409251 -0.065513565
## axcpt_proactive_control -0.002849406 0.049103168
## axcpt_ax_mean_rt -0.068041121 0.010661698
## axcpt_ay_mean_rt -0.149029914 -0.021711920
## axcpt_bx_mean_rt -0.100237139 -0.051235697
## axcpt_by_mean_rt -0.061690698 0.028940942
## axcpt_ax_accuracy 0.060697896 -0.033372426
## axcpt_ay_accuracy 0.062640719 -0.042442170
## axcpt_bx_accuracy -0.067805927 -0.079086795
## axcpt_by_accuracy -0.048788422 -0.030029721
## axcpt_mean_rt -0.107483822 -0.011910271
## axcpt_mean_accuracy -0.011252102 -0.065056195
## antisaccade_error_rate 0.038716166 0.161333812
## antisaccade_mean_rt 0.122671028 0.154797261
## antisaccade_rt_sd 0.056967710 0.080088080
## flanker_error_rate_congruent -0.083770649 -0.131389387
## flanker_mean_rt_congruent 0.065191225 0.160879322
## flanker_error_rate_incongruent -0.052538700 -0.101953453
## flanker_mean_rt_incongruent 0.109926513 0.178401744
## flanker_rt_switchcost -0.115245581 -0.110343648
## flanker_mean_rt 0.094315021 0.177436924
## flanker_mean_error_rate -0.066205443 -0.119446857
## stroop_mean_rt_congruent -0.033631090 -0.053198818
## stroop_mean_rt_incongruent 0.084003868 -0.062630183
## stroop_error_rate_congruent -0.077742941 -0.094553946
## stroop_error_rate_incongruent -0.128470790 -0.063083997
## stroop_mean_rt_switchcost -0.084256737 0.062219434
## stroop_mean_rt 0.083746060 -0.063037282
## stroop_mean_error_rate -0.111863055 -0.083567554
## catswitch_accuracy_switch 0.045610312 0.060318345
## catswitch_accuracy_nonswitch 0.061786624 0.002532746
## catswitch_mean_rt_switch -0.271415806 -0.127860021
## catswitch_mean_rt_nonswitch -0.213484374 -0.101066421
## catswitch_rt_switchcost -0.201789552 -0.094617763
## catswitch_mean_rt -0.266900502 -0.125935865
## catswitch_accuracy 0.058458284 0.034844547
## updating_accuracy 0.084272680 -0.020254643
## updating_num_correct 0.085763346 -0.020135045
## updating_mean_rt -0.047023654 0.052831365
## supps_total -0.151973070 -0.336390095
## supps_neg_urgency -0.172054435 -0.089754010
## supps_lack_premed 0.051011414 -0.120828225
## supps_lack_pers 0.210197716 0.112662891
## supps_sen_seek -0.246550022 -0.527034506
## supps_pos_urgency -0.143099464 -0.216876395
## tova_accuracy 0.056874145 0.036084742
## tova_mean_rt -0.122165245 -0.026136336
## tova_rt_variability -0.122017028 -0.042351953
## tova_mean_rt_infrequent -0.184555615 -0.081708002
## tova_rt_variability_infrequent -0.113428925 -0.021124764
## tova_accuracy_infrequent 0.064598335 0.139163723
## tova_mean_rt_frequent -0.097097358 -0.009921498
## tova_rt_variability_frequent -0.098961401 -0.029334880
## tova_accuracy_frequent 0.002355180 0.045673340
## tova_rt_variability_switchcost 0.012749931 0.015617601
## tova_false_alarm_frequent -0.084900917 0.027638065
## tova_misses_infrequent -0.064598335 -0.139163723
## dm_accuracy_dog 0.036625135 0.031289834
## dm_accuracy_monkey -0.079463913 0.028216292
## dm_accuracy -0.020316254 0.014240268
## dm_mean_rt_dogs -0.059914665 0.097915333
## dm_mean_rt_monkey -0.031979238 0.198529597
## dm_mix_accuracy 0.044442799 -0.021942340
## dm_mean_rt_mix_dog -0.128421246 0.080496848
## dm_mean_rt_mix_monkey -0.153173646 0.088782298
## dm_mean_rt -0.115812623 0.133546195
## cancellation_dog_score 0.185974926 -0.021429363
## cancellation_monkey_score 0.061621616 -0.065857795
## cancellation_mix_score 0.177295879 0.027463894
## forward_span_partial_score 0.173216539 -0.094408311
## forward_span_longest_forward_seq 0.144275992 -0.156002344
## bisbas_bis -0.095421898 -0.113554785
## bisbas_drive 1.000000000 0.451326354
## bisbas_fun_seek 0.451326354 1.000000000
## bisbas_reward_response 0.471885506 0.432112281
## mini_markers_extra -0.357429532 -0.388926648
## mini_markers_agree -0.085188059 -0.196364244
## mini_markers_conscientiousness -0.131377174 0.006531124
## mini_markers_neuroticism -0.005376150 0.115482915
## mini_markers_open -0.195740303 -0.289531963
## swan_inattentive 0.179912405 0.028492582
## swan_hyperactive 0.035674127 -0.008051936
## swan_combined 0.010601932 -0.108599901
## bisbas_reward_response mini_markers_extra
## id -0.085262675 -0.053482354
## axcpt_proactive_control 0.089114128 -0.154543132
## axcpt_ax_mean_rt -0.035878853 0.035083507
## axcpt_ay_mean_rt -0.119229621 0.048587162
## axcpt_bx_mean_rt -0.126120237 0.146186087
## axcpt_by_mean_rt 0.018332537 0.115973686
## axcpt_ax_accuracy -0.044767198 -0.067070014
## axcpt_ay_accuracy -0.039234467 0.022851725
## axcpt_bx_accuracy -0.038828038 -0.091474224
## axcpt_by_accuracy -0.091670264 -0.010384924
## axcpt_mean_rt -0.077094003 0.106531215
## axcpt_mean_accuracy -0.052119222 -0.040473792
## antisaccade_error_rate 0.062168315 -0.080288128
## antisaccade_mean_rt 0.103570956 -0.081610228
## antisaccade_rt_sd 0.016365207 -0.096912246
## flanker_error_rate_congruent -0.067590661 0.065364336
## flanker_mean_rt_congruent -0.012942069 -0.081378948
## flanker_error_rate_incongruent -0.124435640 0.038982648
## flanker_mean_rt_incongruent 0.001484234 -0.130604307
## flanker_rt_switchcost -0.020801725 0.131459045
## flanker_mean_rt -0.004842605 -0.113792882
## flanker_mean_error_rate -0.118918753 0.050052230
## stroop_mean_rt_congruent -0.092182698 0.057092060
## stroop_mean_rt_incongruent -0.018980073 -0.025376232
## stroop_error_rate_congruent 0.018839037 0.006873049
## stroop_error_rate_incongruent -0.027842639 0.058807498
## stroop_mean_rt_switchcost 0.018273253 0.025811949
## stroop_mean_rt -0.019685817 -0.024939004
## stroop_mean_error_rate -0.006115281 0.036619762
## catswitch_accuracy_switch -0.028555404 -0.017790571
## catswitch_accuracy_nonswitch -0.052442499 -0.041167610
## catswitch_mean_rt_switch -0.162293565 0.102497058
## catswitch_mean_rt_nonswitch -0.194995275 0.096928253
## catswitch_rt_switchcost -0.060729969 0.061690018
## catswitch_mean_rt -0.187088244 0.107450334
## catswitch_accuracy -0.043978685 -0.031955564
## updating_accuracy 0.020122140 0.089153029
## updating_num_correct 0.022317875 0.089664792
## updating_mean_rt -0.040947515 -0.035256263
## supps_total -0.021975502 0.059333969
## supps_neg_urgency -0.163700430 -0.075245000
## supps_lack_premed 0.161681858 -0.100454666
## supps_lack_pers 0.342584881 -0.228942304
## supps_sen_seek -0.144478661 0.338439599
## supps_pos_urgency -0.088982833 0.097306756
## tova_accuracy 0.061535503 -0.098061618
## tova_mean_rt -0.197493714 0.110180966
## tova_rt_variability -0.108680072 0.150269129
## tova_mean_rt_infrequent -0.135561327 0.108970038
## tova_rt_variability_infrequent -0.036177415 0.160638450
## tova_accuracy_infrequent 0.014025577 -0.235914636
## tova_mean_rt_frequent -0.205346363 0.104643498
## tova_rt_variability_frequent -0.124848881 0.137877515
## tova_accuracy_frequent 0.023795139 -0.128994861
## tova_rt_variability_switchcost 0.117358205 -0.015297277
## tova_false_alarm_frequent -0.106819451 -0.066168652
## tova_misses_infrequent -0.014025577 0.235914636
## dm_accuracy_dog 0.075216817 0.006945275
## dm_accuracy_monkey 0.128812052 0.002231606
## dm_accuracy 0.076324520 -0.037199727
## dm_mean_rt_dogs -0.043382738 0.071291443
## dm_mean_rt_monkey -0.006741701 -0.004077172
## dm_mix_accuracy -0.014200131 -0.063766456
## dm_mean_rt_mix_dog -0.060779324 0.038279865
## dm_mean_rt_mix_monkey -0.114110386 -0.037879249
## dm_mean_rt -0.070213465 0.017056575
## cancellation_dog_score 0.185476114 -0.029849697
## cancellation_monkey_score 0.060535693 -0.037649207
## cancellation_mix_score 0.104245639 -0.011930894
## forward_span_partial_score 0.033741610 -0.063866667
## forward_span_longest_forward_seq 0.090020589 0.025648298
## bisbas_bis 0.247506350 0.153718117
## bisbas_drive 0.471885506 -0.357429532
## bisbas_fun_seek 0.432112281 -0.388926648
## bisbas_reward_response 1.000000000 -0.241454356
## mini_markers_extra -0.241454356 1.000000000
## mini_markers_agree -0.121832976 0.335034287
## mini_markers_conscientiousness -0.145400391 0.163463140
## mini_markers_neuroticism -0.086984584 -0.159996982
## mini_markers_open -0.161050485 0.295874618
## swan_inattentive 0.175482965 -0.181751863
## swan_hyperactive 0.071304429 -0.056614743
## swan_combined -0.055915808 -0.035389990
## mini_markers_agree
## id -1.260318e-01
## axcpt_proactive_control -8.675008e-02
## axcpt_ax_mean_rt -1.001998e-02
## axcpt_ay_mean_rt -7.998458e-02
## axcpt_bx_mean_rt 2.788155e-02
## axcpt_by_mean_rt -7.855625e-02
## axcpt_ax_accuracy -1.131713e-01
## axcpt_ay_accuracy 1.595041e-02
## axcpt_bx_accuracy -1.157428e-01
## axcpt_by_accuracy -1.623227e-02
## axcpt_mean_rt -3.680897e-02
## axcpt_mean_accuracy -6.562699e-02
## antisaccade_error_rate 4.173911e-02
## antisaccade_mean_rt 3.008180e-02
## antisaccade_rt_sd 8.669984e-03
## flanker_error_rate_congruent 9.972627e-02
## flanker_mean_rt_congruent -6.478007e-02
## flanker_error_rate_incongruent 4.954665e-02
## flanker_mean_rt_incongruent -6.671028e-02
## flanker_rt_switchcost 3.482560e-02
## flanker_mean_rt -6.839463e-02
## flanker_mean_error_rate 6.843766e-02
## stroop_mean_rt_congruent 1.086613e-01
## stroop_mean_rt_incongruent 5.038773e-02
## stroop_error_rate_congruent -7.265805e-02
## stroop_error_rate_incongruent -5.200228e-02
## stroop_mean_rt_switchcost -4.955301e-02
## stroop_mean_rt 5.121953e-02
## stroop_mean_error_rate -6.620249e-02
## catswitch_accuracy_switch -1.560824e-01
## catswitch_accuracy_nonswitch -1.468621e-01
## catswitch_mean_rt_switch 1.051838e-01
## catswitch_mean_rt_nonswitch 2.315294e-02
## catswitch_rt_switchcost 1.312241e-01
## catswitch_mean_rt 7.910832e-02
## catswitch_accuracy -1.654154e-01
## updating_accuracy 1.073090e-01
## updating_num_correct 1.053630e-01
## updating_mean_rt 5.716529e-02
## supps_total -2.316912e-01
## supps_neg_urgency -2.395160e-01
## supps_lack_premed -2.528923e-01
## supps_lack_pers -1.945221e-01
## supps_sen_seek 1.897033e-01
## supps_pos_urgency -2.713957e-01
## tova_accuracy -6.507087e-02
## tova_mean_rt 5.729802e-03
## tova_rt_variability 6.510672e-02
## tova_mean_rt_infrequent 4.479372e-02
## tova_rt_variability_infrequent 2.346808e-02
## tova_accuracy_infrequent -4.266143e-05
## tova_mean_rt_frequent -7.575643e-03
## tova_rt_variability_frequent 5.988783e-02
## tova_accuracy_frequent 1.564558e-02
## tova_rt_variability_switchcost -5.050341e-02
## tova_false_alarm_frequent 1.593142e-01
## tova_misses_infrequent 4.266143e-05
## dm_accuracy_dog -5.470981e-02
## dm_accuracy_monkey -3.549779e-02
## dm_accuracy -1.167987e-01
## dm_mean_rt_dogs 1.145455e-01
## dm_mean_rt_monkey -3.145812e-02
## dm_mix_accuracy -1.160036e-01
## dm_mean_rt_mix_dog 5.622929e-02
## dm_mean_rt_mix_monkey 9.223745e-02
## dm_mean_rt 6.969926e-02
## cancellation_dog_score -5.741457e-02
## cancellation_monkey_score -9.314492e-02
## cancellation_mix_score 2.484491e-02
## forward_span_partial_score -8.894043e-02
## forward_span_longest_forward_seq -8.841987e-02
## bisbas_bis -1.544031e-01
## bisbas_drive -8.518806e-02
## bisbas_fun_seek -1.963642e-01
## bisbas_reward_response -1.218330e-01
## mini_markers_extra 3.350343e-01
## mini_markers_agree 1.000000e+00
## mini_markers_conscientiousness 4.208081e-01
## mini_markers_neuroticism -1.859180e-01
## mini_markers_open 3.561985e-01
## swan_inattentive -2.276547e-01
## swan_hyperactive -1.204307e-01
## swan_combined -1.956923e-01
## mini_markers_conscientiousness
## id -0.0143754291
## axcpt_proactive_control -0.0004880312
## axcpt_ax_mean_rt 0.0263166074
## axcpt_ay_mean_rt 0.0224630190
## axcpt_bx_mean_rt 0.0265208280
## axcpt_by_mean_rt -0.0774860511
## axcpt_ax_accuracy 0.0173868151
## axcpt_ay_accuracy -0.0679541556
## axcpt_bx_accuracy 0.0698904744
## axcpt_by_accuracy 0.0551639132
## axcpt_mean_rt -0.0025276218
## axcpt_mean_accuracy 0.0123567187
## antisaccade_error_rate 0.0894784351
## antisaccade_mean_rt 0.0139555884
## antisaccade_rt_sd -0.0153287779
## flanker_error_rate_congruent 0.0414897299
## flanker_mean_rt_congruent 0.0854392237
## flanker_error_rate_incongruent -0.0158064175
## flanker_mean_rt_incongruent 0.0431144089
## flanker_rt_switchcost 0.0381610087
## flanker_mean_rt 0.0634827606
## flanker_mean_error_rate -0.0006032121
## stroop_mean_rt_congruent 0.0111461977
## stroop_mean_rt_incongruent 0.0357366932
## stroop_error_rate_congruent -0.0537860890
## stroop_error_rate_incongruent -0.0983593357
## stroop_mean_rt_switchcost -0.0356493895
## stroop_mean_rt 0.0358219063
## stroop_mean_error_rate -0.0827309233
## catswitch_accuracy_switch -0.0587608128
## catswitch_accuracy_nonswitch -0.0707995514
## catswitch_mean_rt_switch 0.0697299521
## catswitch_mean_rt_nonswitch 0.0265834231
## catswitch_rt_switchcost 0.0769948191
## catswitch_mean_rt 0.0570304872
## catswitch_accuracy -0.0705926930
## updating_accuracy -0.1101125859
## updating_num_correct -0.1094364530
## updating_mean_rt 0.0314011761
## supps_total -0.5095150353
## supps_neg_urgency -0.3128848327
## supps_lack_premed -0.5291567442
## supps_lack_pers -0.3789709062
## supps_sen_seek -0.0082082964
## supps_pos_urgency -0.3893940630
## tova_accuracy 0.0354444662
## tova_mean_rt 0.0788476557
## tova_rt_variability 0.0344245553
## tova_mean_rt_infrequent 0.0946689782
## tova_rt_variability_infrequent -0.0091352582
## tova_accuracy_infrequent 0.0248405430
## tova_mean_rt_frequent 0.0682846554
## tova_rt_variability_frequent 0.0391798241
## tova_accuracy_frequent 0.0660641619
## tova_rt_variability_switchcost -0.0562347501
## tova_false_alarm_frequent 0.0367881919
## tova_misses_infrequent -0.0248405430
## dm_accuracy_dog 0.1586060639
## dm_accuracy_monkey 0.0574446921
## dm_accuracy 0.1344905801
## dm_mean_rt_dogs 0.2045675272
## dm_mean_rt_monkey 0.1102733112
## dm_mix_accuracy 0.1129895774
## dm_mean_rt_mix_dog 0.1331851538
## dm_mean_rt_mix_monkey 0.1122671369
## dm_mean_rt 0.1621401427
## cancellation_dog_score -0.0994274855
## cancellation_monkey_score -0.0650270714
## cancellation_mix_score -0.0096577124
## forward_span_partial_score -0.0892402466
## forward_span_longest_forward_seq -0.0806044071
## bisbas_bis -0.0016912872
## bisbas_drive -0.1313771744
## bisbas_fun_seek 0.0065311242
## bisbas_reward_response -0.1454003909
## mini_markers_extra 0.1634631404
## mini_markers_agree 0.4208080807
## mini_markers_conscientiousness 1.0000000000
## mini_markers_neuroticism -0.2572014344
## mini_markers_open 0.2745997586
## swan_inattentive -0.5249696010
## swan_hyperactive -0.2830044499
## swan_combined -0.2253282442
## mini_markers_neuroticism mini_markers_open
## id -2.480385e-02 0.0640975693
## axcpt_proactive_control 6.734826e-02 0.0393987199
## axcpt_ax_mean_rt -2.043697e-02 -0.1085770747
## axcpt_ay_mean_rt -3.338207e-02 -0.0870283321
## axcpt_bx_mean_rt -8.278084e-02 -0.0614283212
## axcpt_by_mean_rt -6.183609e-02 -0.2466383970
## axcpt_ax_accuracy -3.256016e-02 0.0086752794
## axcpt_ay_accuracy 7.248365e-03 -0.0186949448
## axcpt_bx_accuracy -1.602080e-02 0.0723678015
## axcpt_by_accuracy 4.045489e-05 0.1068628312
## axcpt_mean_rt -6.075574e-02 -0.1437999789
## axcpt_mean_accuracy -9.946400e-03 0.0477967058
## antisaccade_error_rate 1.133378e-02 0.0933768691
## antisaccade_mean_rt -2.414180e-02 0.0450858431
## antisaccade_rt_sd -7.490386e-02 -0.0099811695
## flanker_error_rate_congruent -2.654286e-02 0.0455404732
## flanker_mean_rt_congruent -1.570850e-02 -0.1357888273
## flanker_error_rate_incongruent 4.149997e-02 0.0009807822
## flanker_mean_rt_incongruent 3.954844e-02 -0.1727733700
## flanker_rt_switchcost -9.599054e-02 0.1347305338
## flanker_mean_rt 1.660336e-02 -0.1629828289
## flanker_mean_error_rate 2.544455e-02 0.0139720612
## stroop_mean_rt_congruent -2.216493e-02 0.0566593136
## stroop_mean_rt_incongruent 5.938617e-03 0.0327243387
## stroop_error_rate_congruent -1.726138e-02 0.0218481899
## stroop_error_rate_incongruent 5.391758e-02 -0.0772115927
## stroop_mean_rt_switchcost -6.107992e-03 -0.0322887395
## stroop_mean_rt 5.768886e-03 0.0331580419
## stroop_mean_error_rate 2.160568e-02 -0.0323981568
## catswitch_accuracy_switch -2.372108e-02 -0.0038691024
## catswitch_accuracy_nonswitch 3.631962e-02 0.0057488672
## catswitch_mean_rt_switch -1.876031e-02 0.1111568216
## catswitch_mean_rt_nonswitch 1.154988e-02 0.0777910109
## catswitch_rt_switchcost -3.735853e-02 0.0912211110
## catswitch_mean_rt -7.707911e-03 0.1053716185
## catswitch_accuracy 6.309988e-03 0.0009352680
## updating_accuracy -3.032281e-02 -0.0596819355
## updating_num_correct -3.362499e-02 -0.0612679335
## updating_mean_rt -3.422148e-02 0.0128227285
## supps_total 3.160039e-01 -0.0237010401
## supps_neg_urgency 5.463422e-01 -0.0457313438
## supps_lack_premed 2.689065e-01 -0.1156912574
## supps_lack_pers 5.469748e-02 -0.1420431007
## supps_sen_seek -2.619176e-01 0.2137417458
## supps_pos_urgency 3.463373e-01 -0.0726197980
## tova_accuracy -8.415190e-02 -0.0162692305
## tova_mean_rt 1.129725e-02 -0.0086976578
## tova_rt_variability 3.516706e-02 -0.0114633015
## tova_mean_rt_infrequent 4.351265e-03 0.0210974018
## tova_rt_variability_infrequent 2.874439e-02 -0.0775756801
## tova_accuracy_infrequent -2.430504e-02 -0.0395647226
## tova_mean_rt_frequent 1.222549e-02 -0.0153312365
## tova_rt_variability_frequent 4.091218e-02 0.0047448947
## tova_accuracy_frequent -7.882314e-02 -0.0096398471
## tova_rt_variability_switchcost -2.246080e-02 -0.0792385255
## tova_false_alarm_frequent 9.398131e-02 0.0247161093
## tova_misses_infrequent 2.430504e-02 0.0395647226
## dm_accuracy_dog -2.125518e-01 0.0132169033
## dm_accuracy_monkey -1.536369e-01 0.0232406924
## dm_accuracy -1.843003e-01 -0.0174634257
## dm_mean_rt_dogs -1.077022e-01 0.1272221881
## dm_mean_rt_monkey -5.107756e-02 -0.0102656729
## dm_mix_accuracy -7.707937e-02 -0.0451790717
## dm_mean_rt_mix_dog -1.837164e-02 0.0608672774
## dm_mean_rt_mix_monkey -9.708520e-03 0.0253580628
## dm_mean_rt -5.059189e-02 0.0580095816
## cancellation_dog_score 3.336463e-02 -0.0716388166
## cancellation_monkey_score -1.164064e-02 -0.1080879409
## cancellation_mix_score 8.609795e-02 -0.0578377424
## forward_span_partial_score -8.655370e-03 -0.0099059683
## forward_span_longest_forward_seq -1.498675e-02 -0.0397223878
## bisbas_bis -3.381210e-01 0.0455525855
## bisbas_drive -5.376150e-03 -0.1957403025
## bisbas_fun_seek 1.154829e-01 -0.2895319634
## bisbas_reward_response -8.698458e-02 -0.1610504850
## mini_markers_extra -1.599970e-01 0.2958746175
## mini_markers_agree -1.859180e-01 0.3561985484
## mini_markers_conscientiousness -2.572014e-01 0.2745997586
## mini_markers_neuroticism 1.000000e+00 -0.0594667391
## mini_markers_open -5.946674e-02 1.0000000000
## swan_inattentive 2.028426e-01 -0.1720783425
## swan_hyperactive 3.554587e-01 -0.1288070562
## swan_combined 1.090608e-01 -0.0167306714
## swan_inattentive swan_hyperactive
## id 0.0074224311 0.0223700631
## axcpt_proactive_control -0.0800334421 0.0159564558
## axcpt_ax_mean_rt 0.0499091791 0.1041522833
## axcpt_ay_mean_rt 0.0285673094 0.0855157729
## axcpt_bx_mean_rt 0.0835674312 0.0170965623
## axcpt_by_mean_rt 0.0361863593 0.0037613078
## axcpt_ax_accuracy -0.0134486171 -0.0330619012
## axcpt_ay_accuracy 0.0407029901 -0.0135550699
## axcpt_bx_accuracy -0.0121505452 0.0453776849
## axcpt_by_accuracy -0.0705543847 -0.0834775129
## axcpt_mean_rt 0.0588550268 0.0530512314
## axcpt_mean_accuracy -0.0008345038 -0.0014167480
## antisaccade_error_rate 0.0251785096 -0.0420811158
## antisaccade_mean_rt -0.0122916792 -0.0946366425
## antisaccade_rt_sd -0.0131186163 -0.0555218274
## flanker_error_rate_congruent 0.0768613821 0.1358746227
## flanker_mean_rt_congruent 0.0292072646 0.0311849107
## flanker_error_rate_incongruent 0.0185653328 0.0341351560
## flanker_mean_rt_incongruent 0.0056238797 -0.0059478826
## flanker_rt_switchcost 0.0301273577 0.0545678482
## flanker_mean_rt 0.0162729966 0.0102562208
## flanker_mean_error_rate 0.0370816594 0.0666028123
## stroop_mean_rt_congruent -0.0126964909 -0.0408496329
## stroop_mean_rt_incongruent 0.0208089765 -0.0077563106
## stroop_error_rate_congruent -0.0278716702 0.0639515084
## stroop_error_rate_incongruent 0.0058641212 0.0847834611
## stroop_mean_rt_switchcost -0.0209050401 0.0074431277
## stroop_mean_rt 0.0207116880 -0.0080690548
## stroop_mean_error_rate -0.0108543019 0.0802467749
## catswitch_accuracy_switch 0.0699961684 -0.0018181453
## catswitch_accuracy_nonswitch -0.0061031672 0.0509229000
## catswitch_mean_rt_switch -0.0269271580 -0.0902486819
## catswitch_mean_rt_nonswitch -0.0070604565 -0.0915439454
## catswitch_rt_switchcost -0.0325849306 -0.0488016773
## catswitch_mean_rt -0.0207145027 -0.0971408299
## catswitch_accuracy 0.0355856558 0.0263015897
## updating_accuracy 0.0183198471 0.0139861807
## updating_num_correct 0.0186210078 0.0139730400
## updating_mean_rt -0.0278824684 -0.0521316563
## supps_total 0.3530488945 0.3672078753
## supps_neg_urgency 0.2335356624 0.2433976735
## supps_lack_premed 0.4469298046 0.3763060031
## supps_lack_pers 0.4243513964 0.2224362921
## supps_sen_seek -0.1020815968 0.0398762609
## supps_pos_urgency 0.1977398051 0.2619065187
## tova_accuracy -0.0478805323 -0.0024260718
## tova_mean_rt -0.0017740502 -0.0284586185
## tova_rt_variability -0.0342531171 -0.0573349343
## tova_mean_rt_infrequent -0.0092091232 -0.0006126291
## tova_rt_variability_infrequent -0.0507717742 -0.0218535702
## tova_accuracy_infrequent 0.0326337635 -0.0765354819
## tova_mean_rt_frequent 0.0004426306 -0.0355567216
## tova_rt_variability_frequent -0.0341935111 -0.0651808947
## tova_accuracy_frequent -0.0485558388 0.0236780559
## tova_rt_variability_switchcost -0.0065620527 0.0584607995
## tova_false_alarm_frequent 0.0352458224 0.0199675634
## tova_misses_infrequent -0.0326337635 0.0765354819
## dm_accuracy_dog -0.1046792643 -0.0753650226
## dm_accuracy_monkey -0.0455334478 -0.0008404597
## dm_accuracy -0.1088492468 -0.0828286965
## dm_mean_rt_dogs -0.1250349646 -0.0796969756
## dm_mean_rt_monkey -0.0919380437 -0.0909763256
## dm_mix_accuracy -0.0952351565 -0.1217677386
## dm_mean_rt_mix_dog -0.1042355159 -0.0965637781
## dm_mean_rt_mix_monkey -0.0440482969 -0.0503566746
## dm_mean_rt -0.1048471794 -0.0925016943
## cancellation_dog_score 0.0186670736 0.0563485331
## cancellation_monkey_score -0.1306524618 -0.0154368079
## cancellation_mix_score -0.1008729616 0.0539701098
## forward_span_partial_score 0.0342891782 -0.0197257930
## forward_span_longest_forward_seq 0.0877969990 0.1263650936
## bisbas_bis -0.1024058746 -0.0971086278
## bisbas_drive 0.1799124054 0.0356741273
## bisbas_fun_seek 0.0284925815 -0.0080519357
## bisbas_reward_response 0.1754829653 0.0713044295
## mini_markers_extra -0.1817518626 -0.0566147430
## mini_markers_agree -0.2276547313 -0.1204307404
## mini_markers_conscientiousness -0.5249696010 -0.2830044499
## mini_markers_neuroticism 0.2028425786 0.3554587394
## mini_markers_open -0.1720783425 -0.1288070562
## swan_inattentive 1.0000000000 0.4846906747
## swan_hyperactive 0.4846906747 1.0000000000
## swan_combined 0.2774660868 0.2925913903
## swan_combined
## id 0.0587035217
## axcpt_proactive_control -0.0291559180
## axcpt_ax_mean_rt 0.0554160036
## axcpt_ay_mean_rt 0.0485923868
## axcpt_bx_mean_rt 0.0421746337
## axcpt_by_mean_rt 0.0430479081
## axcpt_ax_accuracy 0.0553331818
## axcpt_ay_accuracy 0.0882676051
## axcpt_bx_accuracy 0.0636449974
## axcpt_by_accuracy 0.0541484564
## axcpt_mean_rt 0.0528107642
## axcpt_mean_accuracy 0.0822756467
## antisaccade_error_rate -0.1695310201
## antisaccade_mean_rt -0.0822983976
## antisaccade_rt_sd 0.0318312141
## flanker_error_rate_congruent -0.0436544260
## flanker_mean_rt_congruent -0.0470652715
## flanker_error_rate_incongruent -0.0441827607
## flanker_mean_rt_incongruent -0.0872321502
## flanker_rt_switchcost 0.0979515514
## flanker_mean_rt -0.0727785225
## flanker_mean_error_rate -0.0479163200
## stroop_mean_rt_congruent -0.1199837376
## stroop_mean_rt_incongruent -0.0118001454
## stroop_error_rate_congruent -0.0167427316
## stroop_error_rate_incongruent -0.0192346446
## stroop_mean_rt_switchcost 0.0108808671
## stroop_mean_rt -0.0127187792
## stroop_mean_error_rate -0.0193403021
## catswitch_accuracy_switch 0.0837415433
## catswitch_accuracy_nonswitch 0.0588543343
## catswitch_mean_rt_switch -0.1055417967
## catswitch_mean_rt_nonswitch -0.1028611907
## catswitch_rt_switchcost -0.0608050082
## catswitch_mean_rt -0.1118889583
## catswitch_accuracy 0.0780544817
## updating_accuracy -0.0853646609
## updating_num_correct -0.0849886509
## updating_mean_rt 0.0952087786
## supps_total 0.1858227693
## supps_neg_urgency 0.1776729249
## supps_lack_premed 0.1741725342
## supps_lack_pers -0.0008954051
## supps_sen_seek 0.0104546179
## supps_pos_urgency 0.1788598923
## tova_accuracy 0.0942391477
## tova_mean_rt -0.1081078810
## tova_rt_variability -0.1606765226
## tova_mean_rt_infrequent -0.1149385221
## tova_rt_variability_infrequent -0.1597163660
## tova_accuracy_infrequent 0.0572835684
## tova_mean_rt_frequent -0.1004468359
## tova_rt_variability_frequent -0.1421399520
## tova_accuracy_frequent 0.0482219907
## tova_rt_variability_switchcost 0.0213471839
## tova_false_alarm_frequent -0.1173634247
## tova_misses_infrequent -0.0572835684
## dm_accuracy_dog 0.0190860317
## dm_accuracy_monkey 0.0364851183
## dm_accuracy 0.0279116392
## dm_mean_rt_dogs -0.0210716246
## dm_mean_rt_monkey -0.0128023077
## dm_mix_accuracy -0.0173118766
## dm_mean_rt_mix_dog -0.0985487734
## dm_mean_rt_mix_monkey -0.0709566938
## dm_mean_rt -0.0638907894
## cancellation_dog_score 0.0874303954
## cancellation_monkey_score 0.0546960058
## cancellation_mix_score 0.1498114814
## forward_span_partial_score 0.0111127320
## forward_span_longest_forward_seq 0.1092178934
## bisbas_bis -0.0335534309
## bisbas_drive 0.0106019322
## bisbas_fun_seek -0.1085999010
## bisbas_reward_response -0.0559158077
## mini_markers_extra -0.0353899898
## mini_markers_agree -0.1956922986
## mini_markers_conscientiousness -0.2253282442
## mini_markers_neuroticism 0.1090607726
## mini_markers_open -0.0167306714
## swan_inattentive 0.2774660868
## swan_hyperactive 0.2925913903
## swan_combined 1.0000000000## eigen() decomposition
## $values
## [1] 1.166276e+01 6.243035e+00 5.113604e+00 4.302959e+00 3.862811e+00
## [6] 3.675087e+00 3.476707e+00 3.289297e+00 2.766658e+00 2.581472e+00
## [11] 2.442416e+00 2.183799e+00 1.971615e+00 1.806012e+00 1.745021e+00
## [16] 1.619722e+00 1.464707e+00 1.335518e+00 1.285407e+00 1.211144e+00
## [21] 1.124232e+00 1.089370e+00 1.053385e+00 1.025330e+00 9.520932e-01
## [26] 9.047295e-01 8.385000e-01 7.882872e-01 7.639733e-01 7.169029e-01
## [31] 7.054751e-01 6.360442e-01 5.935079e-01 5.635106e-01 5.229111e-01
## [36] 5.092661e-01 4.557701e-01 4.429432e-01 4.299196e-01 3.971780e-01
## [41] 3.590342e-01 3.494069e-01 3.460105e-01 3.193448e-01 3.082055e-01
## [46] 2.923956e-01 2.609825e-01 2.461903e-01 2.234776e-01 2.135054e-01
## [51] 2.058025e-01 1.761966e-01 1.693199e-01 1.508202e-01 1.458483e-01
## [56] 1.337181e-01 1.199097e-01 1.036502e-01 8.635136e-02 8.132200e-02
## [61] 7.018411e-02 6.035273e-02 8.651799e-03 7.385834e-03 6.648784e-03
## [66] 1.604381e-03 4.630299e-04 9.298317e-05 3.881841e-05 1.063031e-06
## [71] 5.273012e-10 6.996281e-16 6.750970e-16 3.918670e-16 3.384419e-16
## [76] 2.226778e-16 1.879563e-16 4.195104e-17 2.738055e-17 3.915276e-18
## [81] -9.513007e-17 -1.363993e-16 -2.112334e-16
##
## $vectors
## [,1] [,2] [,3] [,4] [,5]
## [1,] -2.653471e-02 -0.0143855877 -0.009355350 4.577077e-02 -0.100947580
## [2,] 4.264927e-02 0.1400636108 0.047305173 -3.870499e-05 -0.084332669
## [3,] -1.576098e-01 -0.2026062141 -0.073368721 8.083807e-02 -0.031167839
## [4,] -1.735399e-01 -0.1617461722 -0.069639551 3.655087e-02 0.024899354
## [5,] -1.358128e-01 -0.2030689669 -0.073688287 1.740888e-02 0.078382130
## [6,] -1.457515e-01 -0.1334221768 -0.064322169 9.274629e-02 0.111540897
## [7,] 6.714548e-02 -0.2054599960 -0.026851502 6.650062e-03 -0.230962329
## [8,] 2.038221e-02 -0.2621255937 -0.067382711 7.054927e-03 -0.185069061
## [9,] 6.813722e-02 -0.1702924400 -0.035279570 -3.381655e-02 -0.243200057
## [10,] 3.130465e-02 -0.1878098302 -0.019033506 -4.202900e-02 -0.227900819
## [11,] -1.724063e-01 -0.1993895905 -0.079977522 6.227626e-02 0.060351602
## [12,] 5.573831e-02 -0.2503688019 -0.053281439 -2.201565e-02 -0.262436112
## [13,] -1.587199e-01 0.0662316743 0.099316221 5.703266e-02 0.059801455
## [14,] -1.335252e-01 -0.0269486895 0.107801943 8.452475e-02 0.093734271
## [15,] -1.245027e-01 -0.0334407010 0.087326521 7.766628e-02 0.058535953
## [16,] -3.865591e-02 0.0531854226 -0.020057796 -8.406269e-02 -0.242870756
## [17,] -1.946564e-01 -0.0566090762 0.026494883 1.398996e-01 -0.051696105
## [18,] -3.923117e-02 0.1541265508 -0.001497199 -5.898981e-02 -0.282750679
## [19,] -2.032826e-01 -0.0059913420 0.038913301 1.771704e-01 -0.075193758
## [20,] 1.099433e-01 -0.0675920277 -0.036037677 -1.372473e-01 0.068942333
## [21,] -2.072009e-01 -0.0286165355 0.034899140 1.674205e-01 -0.067657810
## [22,] -4.251557e-02 0.1384506913 -0.007004266 -7.144029e-02 -0.296073375
## [23,] -1.957978e-02 -0.0180432099 0.021502464 -1.833026e-02 0.069534090
## [24,] -5.870021e-03 -0.0820060240 0.042068892 7.566183e-02 -0.021911763
## [25,] 9.302303e-05 0.1126910156 -0.089854789 -7.882147e-02 -0.235964294
## [26,] -4.958533e-02 0.1496894863 -0.106829360 -6.302241e-02 -0.165210531
## [27,] 5.719790e-03 0.0818633705 -0.041901950 -7.579801e-02 0.022442931
## [28,] -6.019916e-03 -0.0821438774 0.042233377 7.552120e-02 -0.021379283
## [29,] -2.788605e-02 0.1415686944 -0.105823986 -7.554134e-02 -0.212930590
## [30,] 5.695617e-02 -0.1990625378 -0.058501769 1.168489e-02 -0.075918086
## [31,] 8.050507e-02 -0.2157909975 -0.069743176 -5.046744e-03 -0.020073183
## [32,] -1.010402e-01 -0.1164456536 -0.049719872 -1.492000e-01 0.118791703
## [33,] -1.045417e-01 -0.1328250688 -0.043388016 -1.093858e-01 0.072302587
## [34,] -5.281157e-02 -0.0498781739 -0.033155899 -1.180174e-01 0.107126157
## [35,] -1.095940e-01 -0.1313435299 -0.050640359 -1.434644e-01 0.108186792
## [36,] 7.479609e-02 -0.2262440033 -0.069882328 3.780286e-03 -0.052912141
## [37,] 9.561411e-02 -0.0810381792 -0.043594360 -7.347038e-02 -0.077203678
## [38,] 9.634809e-02 -0.0816385282 -0.043322244 -7.334949e-02 -0.077062576
## [39,] -8.362920e-02 -0.0078363087 0.088336335 2.908381e-02 0.038645714
## [40,] 2.672277e-02 0.0738742529 -0.327182599 8.316975e-02 0.050543268
## [41,] -7.452532e-03 0.0675959269 -0.225330170 1.192188e-01 0.088201600
## [42,] 5.199525e-02 0.0688496202 -0.229958158 1.686740e-01 -0.030916322
## [43,] -1.132408e-02 0.0513504446 -0.126049533 1.937636e-01 -0.088232903
## [44,] 2.412147e-02 0.0141487107 -0.121830475 -2.103377e-01 0.093186444
## [45,] 2.187111e-02 0.0259934559 -0.258711429 7.661883e-02 0.025060879
## [46,] 1.319674e-01 -0.1483795300 0.137236123 5.292894e-02 0.033382625
## [47,] -1.812516e-01 -0.0967335242 -0.157142507 -7.437523e-02 0.017914640
## [48,] -1.714037e-01 0.0567441745 -0.174212520 -9.311167e-02 0.034750444
## [49,] -1.634307e-01 -0.0490971210 -0.133530906 -8.657541e-02 0.062519993
## [50,] -1.168737e-01 0.0713077684 -0.144307453 -6.354960e-02 0.105881143
## [51,] 1.153546e-01 -0.1078309768 0.139625331 9.079063e-02 0.133028961
## [52,] -1.769469e-01 -0.1059983650 -0.157205839 -6.735092e-02 0.002705852
## [53,] -1.679759e-01 0.0420961661 -0.171477037 -9.426694e-02 0.008236260
## [54,] 1.072192e-01 -0.0539883679 0.182731505 6.406765e-02 0.032065748
## [55,] 9.330241e-02 0.0164153393 0.071570449 5.429206e-02 0.090283063
## [56,] -7.540871e-02 0.1985581825 0.024420384 1.244940e-02 0.027672660
## [57,] -1.153546e-01 0.1078309768 -0.139625331 -9.079063e-02 -0.133028961
## [58,] 8.789390e-03 -0.1074332398 0.099659423 -1.036133e-02 -0.126900277
## [59,] -3.506813e-02 -0.0489218220 0.068657125 1.255656e-02 -0.005483190
## [60,] -1.364706e-02 -0.1668729722 0.051787692 -6.352332e-03 -0.031785320
## [61,] -1.354781e-01 0.0368893681 0.135686634 -1.968020e-02 -0.225953816
## [62,] -1.698845e-01 0.0322396347 0.111525052 4.863934e-02 -0.151780699
## [63,] 4.876989e-03 -0.1701573036 -0.001710248 -1.857110e-02 0.003204107
## [64,] -2.225586e-01 0.0214599200 0.107689674 2.092634e-02 -0.086255785
## [65,] -2.093104e-01 -0.0020507415 0.104894155 4.180384e-02 -0.054131096
## [66,] -2.209359e-01 0.0243477408 0.134071190 2.845079e-02 -0.144515940
## [67,] 1.910045e-01 0.0488837661 -0.057142057 9.008055e-03 -0.047663569
## [68,] 1.854300e-01 0.0214453979 -0.060636370 -2.720141e-02 -0.054957269
## [69,] 1.899592e-01 -0.0167033273 -0.018623523 3.402532e-03 -0.060013591
## [70,] 1.446538e-01 -0.0742788639 -0.067157280 1.611509e-02 -0.014315058
## [71,] 1.291900e-01 -0.0717495703 -0.118296516 2.128576e-02 0.015363145
## [72,] -3.856990e-03 0.0325809034 0.011343605 -7.542411e-02 -0.023341988
## [73,] 4.834037e-02 0.0008292586 0.076447521 2.423846e-01 -0.043010247
## [74,] -1.680676e-02 0.0027818834 0.148268487 2.350664e-01 -0.013662937
## [75,] 4.096219e-02 0.0378663686 0.058405289 2.003176e-01 -0.011891575
## [76,] -2.540096e-02 -0.0038440431 -0.067357075 -2.739743e-01 0.040321624
## [77,] -2.167240e-02 0.0209121119 0.115926861 -2.354835e-01 0.051426159
## [78,] -3.973601e-02 -0.0451496750 0.221254566 -2.296935e-01 -0.006345360
## [79,] 7.892978e-03 0.0585000958 -0.153496271 1.594010e-01 0.010525804
## [80,] 1.223672e-04 0.0027048598 0.052243303 -2.224428e-01 0.004920652
## [81,] 1.269817e-02 0.0207376103 -0.171178750 2.400311e-01 0.007415925
## [82,] 2.031653e-02 0.0398287313 -0.173959305 1.703011e-01 -0.029594098
## [83,] 4.069349e-02 -0.0273717576 -0.080203714 1.203395e-01 -0.017920703
## [,6] [,7] [,8] [,9] [,10]
## [1,] 0.024665393 -0.1051984059 -0.008688024 -0.0080537067 -0.163874184
## [2,] 0.008742864 -0.2224453677 0.150880848 -0.0571299223 -0.024012579
## [3,] -0.012909072 0.2002083701 -0.042245821 0.0096636514 0.005882791
## [4,] -0.066831921 0.1315416324 -0.004317757 0.0553097601 -0.006848811
## [5,] -0.043986431 0.2499266665 -0.116871755 0.0738379897 0.008495360
## [6,] -0.034988947 0.2576819562 -0.101539749 0.1017882487 -0.005421019
## [7,] -0.011425358 -0.0025734673 0.086151624 -0.0781023643 -0.076620299
## [8,] 0.009669641 0.0877048806 0.059541057 -0.0419051810 -0.039440824
## [9,] -0.020499614 -0.0408372315 0.099462079 -0.1321925354 -0.100086769
## [10,] -0.042365640 0.0066150493 0.093426083 -0.1717709986 -0.076465638
## [11,] -0.045947641 0.2452116628 -0.082323061 0.0729627858 0.001013282
## [12,] -0.014463624 0.0188661516 0.099727686 -0.1183239842 -0.085247932
## [13,] -0.002492245 -0.0012782934 0.048583059 0.0492319176 -0.060070883
## [14,] -0.041319666 -0.1333069965 -0.103087749 0.0820796614 0.031049685
## [15,] -0.064704982 -0.1831338476 -0.147563645 0.0463784058 0.061824982
## [16,] -0.112158625 -0.0234855416 -0.049472857 -0.0942164465 0.117479530
## [17,] 0.038317637 -0.0674139830 0.024573316 -0.0413070491 -0.030532790
## [18,] -0.085884635 0.0675492914 -0.073264327 -0.1614350225 0.137927258
## [19,] 0.042119386 -0.0704681374 -0.049772456 -0.0698893720 0.029710998
## [20,] -0.025584671 0.0382009158 0.127494649 0.0734666352 -0.098194813
## [21,] 0.042039904 -0.0717981628 -0.018770035 -0.0599017316 0.004185020
## [22,] -0.101048797 0.0471265735 -0.072818795 -0.1561685010 0.144138238
## [23,] -0.046708830 0.0096237656 -0.010481447 -0.0716004938 -0.053330059
## [24,] 0.172257579 -0.1085640294 -0.430988354 -0.1494814299 -0.104764059
## [25,] -0.080783373 0.0796951264 -0.141105150 0.2310492141 -0.043435566
## [26,] -0.058478514 0.0581569672 -0.148641925 0.1967601935 -0.021828030
## [27,] -0.172605723 0.1086317416 0.430884404 0.1489250161 0.104349988
## [28,] 0.171899320 -0.1084899494 -0.431067043 -0.1500291091 -0.105172010
## [29,] -0.073978164 0.0732442355 -0.155411900 0.2282070384 -0.034360234
## [30,] 0.035099977 -0.1616238879 0.027964150 0.0422179368 0.223302621
## [31,] 0.011356276 -0.2214972229 0.075239409 0.0036460635 0.159694909
## [32,] -0.220502289 -0.2566742284 -0.048235563 0.0498602800 0.114019152
## [33,] -0.173422032 -0.2121805303 -0.057884809 0.0432791753 0.127071154
## [34,] -0.163951011 -0.1816709888 -0.018112038 0.0334554346 0.051496266
## [35,] -0.216827501 -0.2566059251 -0.055576219 0.0506889026 0.127387410
## [36,] 0.025576611 -0.2085200133 0.055876874 0.0253930627 0.209615642
## [37,] -0.029507051 0.1037836404 -0.131131314 0.0996911079 0.276232977
## [38,] -0.027963850 0.1045369039 -0.131011728 0.0993749109 0.276189349
## [39,] -0.157078227 -0.0362395049 0.004600854 -0.0104309600 -0.014421572
## [40,] -0.178527948 -0.0534481002 -0.003999992 -0.0518198597 -0.150935717
## [41,] -0.142753215 -0.0605331782 0.049147750 -0.1357914214 -0.144637879
## [42,] -0.076501292 -0.1221947508 0.010448966 -0.0017854530 -0.008715179
## [43,] -0.010645226 -0.0105015852 0.074525228 0.0625653202 0.096671113
## [44,] -0.096947696 0.0536887327 -0.074646368 -0.0106303191 -0.105567024
## [45,] -0.164602142 -0.0424611638 -0.039284055 -0.0288946256 -0.205722385
## [46,] -0.178700674 0.1378413941 -0.018585814 -0.0808717417 0.013720018
## [47,] 0.169837361 0.0797376081 0.090000879 -0.0796738901 0.052837329
## [48,] 0.261539178 -0.0375545633 0.090726092 -0.0622412970 0.033498453
## [49,] 0.121845717 0.1107267756 0.096204790 -0.1113378381 0.065641282
## [50,] 0.191377854 0.0765275501 0.042427386 -0.0373511483 0.075308113
## [51,] -0.051107609 0.0874853495 0.072430697 -0.1930672757 -0.011913416
## [52,] 0.173854108 0.0657963886 0.082442651 -0.0642365261 0.045967558
## [53,] 0.269913472 -0.0652872541 0.093543565 -0.0521557779 0.019592553
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## [55,] -0.146534515 0.1517719553 -0.073419525 0.0279637587 0.047533978
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## [57,] 0.051107609 -0.0874853495 -0.072430697 0.1930672757 0.011913416
## [58,] -0.003436512 -0.0087391438 0.034603371 0.1645120822 -0.233785642
## [59,] 0.031008874 -0.0241093932 0.068418507 0.1783448797 -0.297087596
## [60,] 0.069953744 -0.1212575605 0.080057235 0.2738188670 -0.288530667
## [61,] -0.046681050 0.0038733710 0.063797127 -0.0297443835 0.020540882
## [62,] -0.025748043 -0.0454410370 0.057609651 0.0813591508 0.021812979
## [63,] 0.087335714 -0.1586473848 0.047695184 0.2184518218 -0.102285259
## [64,] -0.096433967 -0.0028863772 0.013276728 0.0293882164 -0.058742230
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## [66,] -0.087066012 -0.0159851370 0.046320055 0.0207929131 -0.038614300
## [67,] 0.104264198 0.0121958105 -0.011685656 0.0859732518 -0.002490770
## [68,] 0.164092602 -0.0025997192 -0.022578589 0.0710955019 -0.076951477
## [69,] 0.126934137 -0.0029623724 -0.021770014 0.0500357390 0.020347957
## [70,] 0.089521222 -0.0600219726 -0.083844174 0.0230815668 -0.009527408
## [71,] 0.090536509 -0.0328399511 -0.117271067 0.0714398541 -0.010987808
## [72,] -0.030858435 -0.0444409595 -0.067629325 0.1836986062 -0.007697087
## [73,] 0.157941929 -0.0073428004 -0.001174535 0.0981091048 0.168760540
## [74,] 0.101642362 -0.0001645047 0.131121386 0.1079810721 0.197037864
## [75,] 0.069001860 0.0081398295 0.028479984 0.2458118571 0.086767747
## [76,] -0.016456634 0.0776064597 -0.083158174 -0.0005870982 -0.063273501
## [77,] 0.031534138 0.0547139070 -0.079108644 -0.1260560856 0.047260165
## [78,] 0.107979643 0.0184584499 0.021537358 -0.0445767670 -0.053945412
## [79,] -0.058776064 -0.0632751519 0.031868066 -0.1740080554 0.011490674
## [80,] -0.041999421 -0.0762802389 -0.013073712 -0.1182898215 -0.121529848
## [81,] -0.094409627 -0.0074621957 -0.011130804 -0.0320314528 0.061828446
## [82,] -0.103918876 0.0259132632 -0.022009955 -0.0416032796 -0.021252651
## [83,] -0.101501302 0.0205926402 0.007330619 -0.0155966307 -0.144759477
## [,11] [,12] [,13] [,14] [,15]
## [1,] 0.025480355 -0.181271738 0.0843418219 0.155095858 -0.051972175
## [2,] -0.175850163 -0.053309626 -0.0713429989 -0.005690776 -0.050704349
## [3,] 0.070817231 -0.022683678 0.0349940770 -0.074190397 0.005202160
## [4,] -0.001586847 -0.062434983 -0.0043287940 -0.013037226 -0.007965728
## [5,] 0.135564944 0.011431125 0.0392820483 -0.020447748 0.028699992
## [6,] 0.111224001 -0.044933911 0.0135735083 0.003764401 -0.039998984
## [7,] -0.008579034 0.093545617 -0.0925155228 -0.045435726 -0.125216633
## [8,] 0.056958680 0.144836258 -0.0446322184 -0.097846994 -0.037764395
## [9,] -0.084868320 0.175498587 -0.0693784601 -0.141687474 -0.021045236
## [10,] -0.011766897 0.211818205 -0.0696773952 -0.146875378 -0.071309918
## [11,] 0.097016511 -0.030728132 0.0247502785 -0.026477449 -0.003011010
## [12,] -0.021547252 0.197448263 -0.0760578461 -0.145243620 -0.048289886
## [13,] -0.098638143 0.094299985 -0.0031684173 -0.116332877 0.051475401
## [14,] -0.090740084 0.060550231 0.0235366435 -0.234203966 0.092340608
## [15,] -0.061613212 0.017106280 0.0619005555 -0.218657420 0.089549559
## [16,] -0.048574805 -0.320581535 0.0777490836 -0.076382995 -0.060366221
## [17,] -0.013603098 -0.149149935 -0.0217115033 -0.004327379 -0.248770530
## [18,] 0.049270125 -0.239341472 0.0428302569 -0.001083186 -0.036929270
## [19,] 0.052037992 -0.073846785 -0.0376872111 0.021148386 -0.310707404
## [20,] -0.116465985 -0.069273414 0.0404000485 -0.045659930 0.235923787
## [21,] 0.024973405 -0.109976725 -0.0320523742 0.010680659 -0.295124616
## [22,] 0.025267183 -0.283923397 0.0567107516 -0.022986168 -0.046965395
## [23,] 0.196705506 0.049979262 -0.1112903693 -0.065330947 -0.073618953
## [24,] -0.065341014 0.015111586 0.0108413365 0.015895631 0.080304049
## [25,] -0.239396821 0.132879517 0.1077867667 -0.014167888 -0.015523771
## [26,] -0.234840034 0.201912491 0.1409967083 0.003671731 -0.030811741
## [27,] 0.066843453 -0.014728100 -0.0116928108 -0.016394949 -0.080863280
## [28,] -0.063834666 0.015494206 0.0099891829 0.015395355 0.079740081
## [29,] -0.253899142 0.181242922 0.1341805426 -0.005128340 -0.025242934
## [30,] 0.078050028 -0.079867654 0.2248340170 -0.022707102 0.160344508
## [31,] 0.045355055 -0.099390602 0.1935605925 -0.034228699 0.124665980
## [32,] -0.053452816 0.046773286 -0.0955026626 0.076543663 -0.139123852
## [33,] -0.047661903 0.062267091 0.0403854381 -0.032715255 -0.059599284
## [34,] -0.034740747 0.012101316 -0.1737952098 0.139602588 -0.147780057
## [35,] -0.054857366 0.056397077 -0.0467555132 0.037332005 -0.116464692
## [36,] 0.067654867 -0.097644254 0.2286286347 -0.030963540 0.155877269
## [37,] -0.010245942 0.037891126 -0.2294975425 0.300496229 0.002406038
## [38,] -0.012999291 0.035349494 -0.2290192422 0.299540904 0.003112259
## [39,] 0.039665868 0.093846036 -0.0449154405 -0.079984272 0.017364168
## [40,] -0.017657310 -0.082381154 -0.0962193252 -0.014966666 -0.014862777
## [41,] 0.046518967 0.101511477 0.1707232298 0.162136631 -0.033032509
## [42,] 0.014375350 -0.072808133 -0.1641796666 -0.043793618 0.065041298
## [43,] -0.133902444 -0.053769811 -0.2380991387 -0.080668084 0.133018411
## [44,] 0.004407039 -0.208001050 -0.1307493599 -0.208518118 -0.050028385
## [45,] -0.020679600 -0.002676547 -0.0022910250 0.117552691 -0.094383518
## [46,] -0.262639852 -0.095000639 0.0358289675 0.060085414 0.014348742
## [47,] -0.179884258 -0.057318522 -0.0111184278 0.067352169 0.048005110
## [48,] -0.119547133 0.007814556 -0.0479651140 -0.013155529 0.031183418
## [49,] -0.236530572 -0.066310567 0.0187160424 0.024390138 0.036928770
## [50,] -0.182989884 -0.036020995 0.1460169953 -0.056008215 -0.098628277
## [51,] -0.301503033 -0.093869344 -0.0373222679 0.060012704 0.012835468
## [52,] -0.151983683 -0.051261740 -0.0204041965 0.076605430 0.047558335
## [53,] -0.086842435 0.021536028 -0.0787176167 0.001717062 0.059727705
## [54,] -0.241182521 -0.066226410 -0.0029668304 0.076083648 0.007399599
## [55,] -0.067852929 -0.060272006 0.2338997163 -0.055133657 -0.165952888
## [56,] 0.070413888 0.087843523 -0.1238055994 0.023054753 -0.018721236
## [57,] 0.301503033 0.093869344 0.0373222679 -0.060012704 -0.012835468
## [58,] 0.045925795 -0.122581565 -0.1356193403 0.027699773 -0.109480904
## [59,] -0.015655721 -0.187475661 -0.0778481047 0.146596600 0.081360025
## [60,] -0.071695954 -0.187128573 0.0336729215 0.163231280 -0.026346690
## [61,] 0.063454148 -0.134928413 0.0008310233 0.133335219 0.207304552
## [62,] 0.082786470 0.047968106 -0.0443194507 0.156167982 0.202586540
## [63,] -0.103534971 -0.090624709 0.1752303462 0.110983998 -0.081154765
## [64,] -0.012530471 0.058786570 -0.0159858108 0.126244774 0.164938427
## [65,] -0.036615279 0.087321492 -0.0365006024 0.115227992 0.117344696
## [66,] 0.022418499 0.025659533 -0.0288301713 0.154758993 0.199381081
## [67,] 0.081097435 -0.018636176 0.0427087223 0.073339645 -0.053317196
## [68,] 0.027203282 -0.034064487 0.0740148776 0.029494881 -0.127610271
## [69,] 0.107726748 0.011497266 0.0992268255 0.034601150 -0.094199083
## [70,] -0.050080937 -0.008402178 -0.2217307597 0.085290870 0.083660866
## [71,] -0.018583301 -0.084420225 -0.2371391125 0.110928441 0.017318185
## [72,] -0.097094117 -0.190060921 -0.1540474841 -0.344733960 0.023030753
## [73,] 0.016824559 0.012555322 -0.1135069869 -0.081590883 -0.033197500
## [74,] -0.054288721 0.133532954 0.0417364691 0.063665187 -0.045177001
## [75,] -0.065072722 -0.033838381 -0.1947510577 -0.199070670 0.004103748
## [76,] 0.144612471 -0.084576125 -0.0176905719 -0.018004381 0.095064928
## [77,] 0.092118905 0.040018136 -0.1407345717 0.026116062 0.045826973
## [78,] 0.010773952 0.007403401 0.0615481560 0.050358932 -0.096049743
## [79,] 0.028485606 0.193568426 0.1706911357 0.231442317 0.005882239
## [80,] 0.039593342 0.024494044 -0.0497857908 -0.074449673 0.229828590
## [81,] -0.008503808 -0.056068930 -0.1166422727 -0.061345457 0.201077850
## [82,] 0.022961683 -0.081185786 0.0137348062 0.019432576 0.138960108
## [83,] 0.083393450 -0.061126437 0.1120700426 -0.032894178 0.207289799
## [,16] [,17] [,18] [,19] [,20]
## [1,] -0.051617226 0.107515799 -0.0095447970 -0.0531959477 -0.193621169
## [2,] 0.100978995 0.125747666 0.0678632872 -0.2343893864 -0.170008563
## [3,] -0.005789467 -0.007312940 0.0625636100 -0.0265308523 -0.118923197
## [4,] 0.011689205 -0.050296315 0.1420198986 -0.1787663584 -0.158835206
## [5,] -0.073959297 -0.117006164 0.0543016903 0.0846496208 0.049550846
## [6,] 0.021865956 -0.099222609 0.1058927440 -0.0469678839 0.012641084
## [7,] 0.047201154 -0.063889468 0.0257116910 -0.0383972529 0.053875285
## [8,] -0.145839464 0.065379980 -0.1521336996 -0.0170785184 -0.011338268
## [9,] 0.018366291 0.059105322 0.0517378175 0.0833649673 -0.006473149
## [10,] 0.059620699 0.049671969 -0.0367247275 0.1118994560 0.055800088
## [11,] -0.017575381 -0.085434485 0.1019454428 -0.0366658680 -0.047095569
## [12,] -0.040787987 0.060986418 -0.0414398334 0.0499746830 0.007619545
## [13,] -0.199297897 -0.040619257 -0.0604787291 -0.0033357564 -0.144952293
## [14,] -0.062484166 -0.126611215 -0.3618558096 -0.0813291930 -0.032166757
## [15,] 0.030304255 -0.072478322 -0.3260469888 -0.0542776634 0.019515545
## [16,] -0.282401793 -0.026547530 0.0401075960 -0.0402175272 -0.137918445
## [17,] -0.002171922 -0.067252923 -0.0689691084 0.0884398739 -0.270187260
## [18,] -0.088831757 -0.066477093 -0.0015145087 -0.0689208808 0.259416199
## [19,] 0.134808677 -0.037960203 -0.1140386357 0.0762459094 -0.076765075
## [20,] -0.255671898 -0.022498635 0.1176920038 -0.0197534339 -0.232332388
## [21,] 0.079327506 -0.052366020 -0.0984357236 0.0845427390 -0.165271089
## [22,] -0.152706042 -0.060760738 0.0104065110 -0.0666707358 0.167163224
## [23,] -0.082154423 -0.129461994 0.1239616902 0.1435901986 0.011942293
## [24,] -0.024475478 0.103277907 0.1008618510 0.0114837714 0.057247738
## [25,] -0.017952898 -0.138050410 0.0831949569 0.0304660536 -0.061476724
## [26,] -0.046627059 -0.139983152 -0.0531799700 0.0925790398 -0.039247928
## [27,] 0.023845135 -0.104263425 -0.0999072188 -0.0103837728 -0.057153156
## [28,] -0.025104419 0.102286284 0.1018106194 0.0125831533 0.057338969
## [29,] -0.035386214 -0.148982388 0.0123016782 0.0676289404 -0.053337773
## [30,] 0.142442017 -0.123486706 -0.0447918768 0.1476505110 0.044941496
## [31,] 0.030854350 -0.121203161 0.0315437346 0.1191140794 0.049311159
## [32,] -0.085657223 0.026841302 0.1799617499 0.0553419254 0.009523646
## [33,] -0.002439845 0.118254550 0.0473973847 -0.2116491135 -0.027019339
## [34,] -0.121471637 -0.066495386 0.2175870103 0.2682395873 0.037792689
## [35,] -0.057720489 0.066056397 0.1385267243 -0.0497641123 -0.004724764
## [36,] 0.095625555 -0.133558203 -0.0079490285 0.1458525072 0.051396149
## [37,] -0.028024241 0.118305908 -0.2643859700 -0.0462189145 -0.014754085
## [38,] -0.026265313 0.119343181 -0.2636281829 -0.0458066072 -0.015115977
## [39,] -0.145850182 -0.187972034 -0.1254057263 -0.1390501785 0.165079811
## [40,] 0.130988700 0.008770918 -0.1402034124 0.0819302333 0.039484696
## [41,] 0.035050664 -0.051102602 -0.0674225279 -0.0129971293 0.065549084
## [42,] 0.005179779 0.079919464 0.0629660219 0.0627002330 -0.143637701
## [43,] 0.044623118 0.060166855 0.0940079766 0.2372928803 0.061816184
## [44,] 0.152287146 -0.001474717 -0.2574168001 0.0667329571 0.033452666
## [45,] 0.115854880 -0.024606197 -0.1373027142 -0.0535589476 0.070129415
## [46,] 0.145087237 0.033399518 -0.0206590389 -0.0245329705 -0.025258993
## [47,] 0.024363562 0.101313170 0.0066188137 -0.1103866776 0.026625560
## [48,] -0.004448656 -0.099133025 -0.0412223334 0.0417651063 0.054236939
## [49,] 0.017601182 0.110925582 0.0007464595 0.0348448375 0.051638493
## [50,] 0.064244436 0.050157893 -0.0323464055 0.2968910319 0.070528934
## [51,] -0.049371848 -0.175005761 -0.0330945810 0.0140693789 -0.008387852
## [52,] 0.025810003 0.093842659 0.0093318808 -0.1504566312 0.017183415
## [53,] -0.028511545 -0.124299588 -0.0468117919 -0.0476647975 0.040952104
## [54,] 0.148199186 -0.076065986 -0.0145334178 0.0517624728 -0.022935754
## [55,] 0.095475402 0.198463870 0.0262139685 0.3390881803 0.017067080
## [56,] -0.115834506 -0.298662701 0.0237949998 0.1281026411 0.014111324
## [57,] 0.049371848 0.175005761 0.0330945810 -0.0140693789 0.008387852
## [58,] -0.064155167 -0.039234549 0.0370798510 -0.0990812712 0.156466809
## [59,] -0.173241119 0.056903271 -0.0796400467 0.1835992508 0.324730367
## [60,] -0.160392651 0.051188801 -0.1195712003 0.0666977579 0.136220967
## [61,] 0.044250920 -0.077888169 0.0364817088 0.1004815985 -0.099094199
## [62,] 0.214159390 -0.034454532 0.0389423382 -0.0062090869 0.044200280
## [63,] -0.101288237 0.043994145 -0.1380809702 -0.0079844337 -0.106931819
## [64,] 0.203835865 0.055743841 -0.0034632209 0.0609906403 -0.006994124
## [65,] 0.129054224 0.075203514 0.0107029367 0.0997711067 -0.073060204
## [66,] 0.176660006 0.013372938 0.0222753534 0.0768376223 -0.040192617
## [67,] 0.091706256 0.065954910 0.0959248939 -0.0244578855 -0.176740765
## [68,] 0.071297281 -0.100511968 0.0457657371 -0.0001014127 -0.072309726
## [69,] 0.048603459 -0.015900235 -0.1055611382 0.0557994386 -0.154338896
## [70,] 0.108975106 -0.389556483 0.1129144261 -0.0535609588 -0.058385476
## [71,] 0.110746001 -0.327974334 -0.0061678710 0.0124184374 -0.128185324
## [72,] 0.271319406 0.056545075 0.1403644451 -0.1564070381 -0.013634160
## [73,] -0.104669293 0.020935381 -0.1197226094 -0.0090556123 -0.072368486
## [74,] -0.085807818 0.012637999 0.0797697330 -0.0019322671 0.059776500
## [75,] -0.028937382 0.172031981 0.0639054299 0.1647533002 0.006779173
## [76,] 0.115261328 0.064492198 -0.1083895251 0.0948377521 -0.104172524
## [77,] -0.163243032 0.019821038 -0.1629857634 0.2371423974 -0.232080190
## [78,] 0.003787241 -0.069517939 0.0728564692 0.0471540750 -0.181981099
## [79,] -0.105539637 0.033479342 -0.0479134855 -0.0721313391 -0.055324467
## [80,] -0.013683257 0.064401792 -0.1007923118 0.1236521525 -0.191648895
## [81,] -0.246961889 0.097219966 0.0569187517 0.0630815581 -0.018337972
## [82,] -0.170596053 0.088224201 0.0015867570 0.1048410765 -0.247911070
## [83,] -0.002468076 -0.041404546 -0.0565369869 -0.1362034185 -0.111330303
## [,21] [,22] [,23] [,24] [,25]
## [1,] -0.1612916114 0.3306508813 -1.517389e-01 0.3785852077 -0.233012066
## [2,] 0.1790199873 -0.3460431343 7.645569e-02 0.0902984016 0.076435867
## [3,] 0.0620168070 -0.0814710930 -5.568806e-02 0.1439735735 0.143094813
## [4,] 0.1306496805 -0.2312583888 -2.210342e-02 0.1443718354 0.046741572
## [5,] -0.0754647265 0.1580989662 -7.475930e-02 -0.0029599854 -0.042635318
## [6,] -0.0163504648 0.0508817039 5.241647e-02 0.0477943638 0.138687069
## [7,] -0.0218648333 -0.1256917657 -1.406801e-01 -0.0413707105 -0.139051330
## [8,] 0.0008310099 0.0144732146 4.498356e-02 0.0143891060 0.043079334
## [9,] 0.1070677357 -0.0544796737 6.037731e-02 0.1616769774 0.106007997
## [10,] -0.0290705072 0.1707642133 -1.790480e-02 -0.0316892673 0.063006726
## [11,] 0.0165266612 -0.0075136465 -2.854552e-02 0.0838832977 0.072666540
## [12,] 0.0472975130 -0.0068002163 3.802191e-02 0.0820444727 0.071427337
## [13,] -0.1876235702 -0.1094883804 -1.493491e-01 0.2323250690 -0.118899735
## [14,] -0.1404464887 -0.0327860071 -9.143105e-02 0.1042112899 0.161343411
## [15,] 0.0537426876 0.0156010362 -2.559339e-02 0.0737120961 0.187742804
## [16,] -0.1029947563 -0.0418926856 8.548764e-02 -0.0659299328 0.167634946
## [17,] 0.0536576056 0.0563142229 1.586121e-01 -0.0834552371 -0.035019912
## [18,] -0.0720922419 -0.0149585177 -8.743211e-02 0.0237631817 0.058856383
## [19,] 0.0759507365 0.0247814258 1.322278e-03 -0.0728861426 -0.114756140
## [20,] -0.0676298768 0.0319665913 2.183679e-01 0.0203972608 0.166306386
## [21,] 0.0689765670 0.0396769534 7.096981e-02 -0.0803361594 -0.083841292
## [22,] -0.0873836194 -0.0240748031 -4.504358e-02 -0.0001226385 0.095537265
## [23,] -0.3238463838 -0.1710335565 4.766840e-01 -0.1686005191 -0.006341847
## [24,] 0.0139138002 -0.0235204255 3.269529e-02 -0.0097868359 0.034819664
## [25,] -0.0480791058 -0.0018257548 -3.055341e-02 -0.0671736990 -0.074717105
## [26,] 0.0760453586 0.0775323038 5.435669e-02 -0.0377288830 -0.085055467
## [27,] -0.0163924944 0.0222096508 -2.904387e-02 0.0084954445 -0.034866304
## [28,] 0.0114341629 -0.0248298886 3.634499e-02 -0.0110777199 0.034770980
## [29,] 0.0184168302 0.0427494873 1.510119e-02 -0.0553758911 -0.085868534
## [30,] 0.0220179443 -0.0640683702 1.371274e-02 0.0335375117 -0.136625315
## [31,] -0.0200299091 -0.0144279909 -1.845226e-02 0.0400455008 0.023682396
## [32,] 0.0392520244 0.0909351251 -1.212264e-01 -0.0322999095 0.063457220
## [33,] -0.0562155958 0.0821333704 2.920470e-02 -0.1484602065 -0.047712924
## [34,] 0.1066874784 0.0581674059 -2.009762e-01 0.0854974010 0.134059870
## [35,] 0.0030417467 0.0937532241 -6.835532e-02 -0.0820037027 0.022542531
## [36,] 0.0014809977 -0.0433060547 -2.283576e-03 0.0400957878 -0.063147247
## [37,] 0.0883082147 -0.0467977302 9.917421e-02 0.1714381582 0.002076680
## [38,] 0.0876249267 -0.0460930110 1.007782e-01 0.1697218247 0.002419559
## [39,] 0.1860913370 -0.1158723620 5.249673e-02 -0.2310798234 -0.009370492
## [40,] -0.1307436354 0.0194580024 -1.025416e-02 -0.0068224806 0.089622336
## [41,] -0.1341668962 -0.0767243839 -6.816410e-02 0.0616847315 0.139965192
## [42,] 0.0248332828 0.0536191923 1.188565e-01 -0.0006278562 -0.027416645
## [43,] -0.0633838040 0.0802576804 1.327267e-02 -0.0729217098 -0.082610098
## [44,] 0.0112223784 0.0589398997 3.993250e-03 -0.0597381444 0.023707019
## [45,] -0.2085245509 -0.0307851323 -6.309944e-02 0.0362620999 0.152747505
## [46,] -0.0940021493 0.0164574261 -1.464485e-02 -0.1964384339 0.009391860
## [47,] -0.0785911186 0.0021901921 -8.241451e-02 -0.1171332424 -0.024752306
## [48,] 0.0581830418 0.0471298157 1.509985e-02 -0.0316886102 0.060128287
## [49,] -0.0227515045 -0.1384368750 -8.875954e-02 -0.0293828483 -0.028682762
## [50,] 0.0802835291 -0.1500370267 -2.249299e-02 0.0611305389 0.018877018
## [51,] 0.0311117160 0.1686301624 2.218403e-02 0.0797461948 0.030812295
## [52,] -0.0934812092 0.0414644370 -7.750849e-02 -0.1369773671 -0.024121699
## [53,] 0.0368784818 0.1086195404 2.944294e-02 -0.0683633650 0.064976810
## [54,] 0.0027924195 -0.0027760027 -8.369952e-03 -0.1620890634 -0.003050116
## [55,] 0.0312534190 -0.2740219405 -5.706152e-02 0.1409244361 -0.061032198
## [56,] 0.2105182391 0.0136201402 -1.649632e-02 0.2723706087 0.012774712
## [57,] -0.0311117160 -0.1686301624 -2.218403e-02 -0.0797461948 -0.030812295
## [58,] -0.0590076778 -0.1697638195 -3.017522e-01 -0.0701820454 -0.175118627
## [59,] 0.1598395703 0.0093192169 -1.527889e-02 -0.0217900551 0.150489542
## [60,] 0.0171387007 -0.0874615387 8.854351e-02 -0.0444844882 0.023045925
## [61,] -0.0328122896 0.0545926033 1.236150e-02 0.0959671657 0.131528189
## [62,] 0.0355682142 0.0124475764 2.649509e-03 -0.1358683619 0.060501311
## [63,] -0.0971156552 -0.0701857664 2.383075e-01 -0.0259082663 -0.046225078
## [64,] -0.0921061203 -0.0084644447 3.469354e-02 0.0013395636 0.051732893
## [65,] -0.0359194864 0.0316238419 9.320937e-02 0.0027608786 0.038952647
## [66,] -0.0403369689 0.0251918954 4.583905e-02 -0.0101940340 0.079623668
## [67,] -0.0796522351 0.1940495647 -7.732698e-02 -0.0511091991 0.181088674
## [68,] 0.0479190484 0.1599129598 2.653264e-02 -0.0074740318 0.259065344
## [69,] 0.0634275187 0.1044355058 -1.511464e-01 -0.1796262535 0.196683709
## [70,] -0.1644884326 -0.1740735507 -3.845612e-02 0.0132663420 -0.020660367
## [71,] -0.0254075227 -0.2141634143 -1.106513e-01 -0.0244442496 -0.045518093
## [72,] 0.0465277085 0.0412348082 1.576677e-02 0.1552394767 0.126926057
## [73,] -0.2408181155 0.0199213507 -1.616781e-01 -0.1467927010 -0.056842546
## [74,] -0.0686128350 0.0056408580 -1.047851e-01 -0.0553940073 0.216392794
## [75,] -0.0974150966 -0.0416134998 -1.625768e-01 -0.0535071126 0.283829746
## [76,] 0.0207377278 -0.0633569352 3.155659e-05 -0.0753587112 0.033050096
## [77,] -0.0017605866 -0.0004635036 -9.580416e-02 -0.1706192530 0.078049875
## [78,] 0.0065633469 -0.1144074782 -1.830817e-01 -0.1127608052 0.064127891
## [79,] -0.1104322584 -0.1732401503 -1.133954e-01 -0.0408742974 0.224438101
## [80,] -0.2034529688 -0.0591354748 -2.504066e-01 0.0199295957 -0.148090907
## [81,] 0.0540006704 0.0590526424 2.551806e-02 -0.0587289788 -0.270601907
## [82,] 0.2157373571 -0.2067651320 -1.072271e-01 -0.1640719123 0.035000732
## [83,] 0.4274999878 0.1252083506 -1.756464e-01 -0.2126725229 -0.060683841
## [,26] [,27] [,28] [,29] [,30]
## [1,] 0.2028023699 -0.019176935 0.009952286 -0.0249179144 0.2468482201
## [2,] -0.0545730845 0.156613978 0.119617462 -0.0702066488 0.1667869163
## [3,] 0.0087271504 0.190344745 0.044082033 -0.0900725185 -0.0189961592
## [4,] -0.0865431573 0.125553081 0.103284134 -0.1236309057 0.1306245081
## [5,] 0.0023699787 -0.044016359 -0.028952652 -0.0051202179 -0.0907712398
## [6,] 0.0005209304 0.119419298 0.059469488 0.0723997710 0.0234815858
## [7,] -0.1358971542 0.121429896 -0.046329883 0.1146408556 0.1597302252
## [8,] 0.1039657603 0.126166341 -0.063289035 0.0841426431 0.0075785939
## [9,] 0.0953916193 -0.180790821 -0.027770808 -0.0993677792 -0.1728959669
## [10,] -0.0047475963 -0.069758220 -0.020600416 0.0261178590 0.0433391309
## [11,] -0.0191589286 0.097183018 0.044460461 -0.0322399249 0.0046534959
## [12,] 0.0819774128 -0.041645823 -0.048695616 0.0024978398 -0.0612116164
## [13,] -0.0404927392 0.032983559 -0.135370353 -0.0173970250 0.1499114121
## [14,] -0.0276455613 -0.011583241 -0.168173724 -0.0788764745 0.0848046011
## [15,] -0.0101172644 -0.106185693 -0.181719043 -0.1906253433 0.0179695818
## [16,] -0.0158776364 0.044504009 -0.084725845 0.0243515875 -0.0387582504
## [17,] -0.0850573457 -0.134045858 0.062849430 0.1858793244 -0.0194107928
## [18,] 0.0851893118 -0.023879157 -0.012589855 -0.0482331276 -0.0518752445
## [19,] -0.0280331000 -0.019806901 0.070370198 0.0281765331 -0.0299977156
## [20,] -0.0658934945 -0.149520304 -0.044372893 0.2060057342 0.0291924328
## [21,] -0.0543317540 -0.071108764 0.069720120 0.0990286466 -0.0264546982
## [22,] 0.0634128951 -0.006175147 -0.034588752 -0.0314546164 -0.0526396573
## [23,] -0.0117576557 -0.259870662 0.004922160 -0.2668386253 0.3725217616
## [24,] -0.0174464358 0.021339461 0.047379780 0.0317525794 0.0392922481
## [25,] -0.0433621375 0.070978898 0.109025063 -0.0775722191 0.0392177239
## [26,] -0.0678162111 -0.093118835 0.076438685 0.0618434578 0.0649938913
## [27,] 0.0173554564 -0.023327931 -0.047339489 -0.0337938252 -0.0364379556
## [28,] -0.0175363970 0.019349638 0.047417295 0.0297093674 0.0421443838
## [29,] -0.0602298313 -0.016402716 0.098441556 -0.0045650606 0.0565347011
## [30,] -0.1929320548 -0.002172022 0.100858171 0.0425640933 0.0168716386
## [31,] -0.0411270696 0.032471921 0.121880266 -0.0476538171 0.1184201980
## [32,] 0.0500664636 -0.028589830 -0.046679690 -0.0232496670 0.0199978934
## [33,] -0.0837159924 0.131442712 -0.255729715 0.2137634239 -0.0989225080
## [34,] 0.1467714929 -0.158244838 0.160204463 -0.2237972429 0.1169015797
## [35,] -0.0010246302 0.034733038 -0.135322755 0.0718796412 -0.0271453583
## [36,] -0.1291649431 0.016209511 0.121358946 -0.0019278944 0.0728774832
## [37,] -0.0430424604 -0.066446383 0.052464178 -0.0013272391 0.0712653407
## [38,] -0.0442141801 -0.068711473 0.051641530 0.0003048989 0.0698495411
## [39,] 0.4042278931 0.216920609 0.195749113 0.1690264527 0.2590063154
## [40,] -0.0456044659 0.106634564 0.107271623 -0.0187803479 -0.0154198661
## [41,] 0.0156827082 0.044568981 0.161112850 0.0413538213 -0.0835842861
## [42,] 0.0890098398 0.104429786 -0.082510447 0.0290374911 0.2298505672
## [43,] 0.0150900361 0.366509418 0.025521983 -0.0496618254 -0.0928160735
## [44,] -0.1920492971 0.006342266 0.094572047 -0.1847119472 -0.0496447960
## [45,] -0.0024110890 -0.102055966 0.062790481 0.1303977475 -0.0102083137
## [46,] 0.0328333973 0.010688938 0.006965487 -0.0229278835 0.0735446860
## [47,] 0.0117944209 -0.082222386 -0.001050364 -0.1077810227 0.0852468810
## [48,] 0.0239612121 0.022854013 -0.045889493 0.0565957203 0.0364028258
## [49,] 0.0692152771 -0.060992167 -0.069751818 -0.1111261119 0.1303901434
## [50,] 0.1792851892 -0.009805286 -0.220430264 0.1252230292 0.0833333005
## [51,] -0.0689364053 -0.003058309 0.046900327 0.0624689929 0.0138750678
## [52,] -0.0063351455 -0.082337694 0.021687641 -0.1019429778 0.0684320690
## [53,] -0.0168763024 0.009638841 0.025543690 0.0431893933 0.0193289252
## [54,] -0.0344464087 0.138276802 -0.068286329 -0.0356595630 0.0938002705
## [55,] 0.1903060947 -0.020993078 -0.239802962 0.0661536689 0.0554552240
## [56,] -0.1658091018 0.148578792 -0.088145260 0.0324491515 -0.0002341667
## [57,] 0.0689364053 0.003058309 -0.046900327 -0.0624689929 -0.0138750678
## [58,] -0.3145597563 -0.060486700 -0.187163797 0.0574366802 0.1619341170
## [59,] -0.1245755804 -0.022165722 -0.017129842 0.0284464047 0.0611462379
## [60,] 0.0412718397 0.067579528 0.005401067 -0.0340781124 -0.0912187908
## [61,] 0.1453829998 -0.021152483 -0.005819585 0.1789450627 0.0458679786
## [62,] 0.0441761272 0.077002750 -0.135577792 -0.0582401396 0.0800250946
## [63,] 0.2506168721 0.167019964 0.060812956 -0.1130607038 -0.2485513207
## [64,] -0.0087412229 -0.057067556 -0.055594895 -0.0273375354 -0.0562113670
## [65,] -0.0695555153 -0.009466515 -0.104195501 -0.1122174460 -0.0891443213
## [66,] 0.0235848661 -0.006274311 -0.090029927 -0.0151949492 -0.0142236448
## [67,] -0.0404821679 0.113688258 -0.097343231 -0.1003131357 0.1236497889
## [68,] -0.0582562123 0.185026563 -0.217034349 -0.0891842548 0.1204753874
## [69,] 0.0273979168 0.004646205 -0.166330720 -0.1050928341 0.1726412591
## [70,] 0.1421106004 -0.038969889 -0.188977621 0.0463995776 -0.1511406022
## [71,] 0.2390817805 -0.121055368 -0.153040263 0.0596307703 -0.1580157993
## [72,] 0.0235319825 -0.201137789 0.129850906 0.1004369941 -0.0742233081
## [73,] 0.1272463142 -0.071630606 0.094864185 -0.0733128680 -0.0062809797
## [74,] -0.1073720835 -0.187739620 0.133764112 0.1883690590 0.0845660468
## [75,] 0.0520787605 0.022401872 0.190678456 0.1606666554 0.0037561964
## [76,] -0.0086260699 -0.054524458 -0.035847533 0.4839710135 0.1803258760
## [77,] -0.0520450598 0.256288995 0.027265737 -0.0658794255 -0.0403105270
## [78,] -0.0099568029 -0.038080095 0.152945013 -0.0644546208 -0.2617086226
## [79,] -0.0785008026 -0.038876771 0.010470520 0.0964647982 -0.0654681402
## [80,] 0.0486034179 0.056459468 0.281979329 0.0506580452 0.0455621605
## [81,] -0.0650684096 -0.048315596 -0.155464659 0.0235425470 -0.1393079619
## [82,] -0.2158663159 -0.153592892 -0.050567577 -0.1082947384 -0.0923899699
## [83,] 0.2524776267 -0.247653815 0.011471442 -0.0963365855 0.0840340035
## [,31] [,32] [,33] [,34] [,35]
## [1,] 0.1106646224 0.3986743684 0.098702449 0.055983419 0.1715792811
## [2,] -0.1315200299 -0.0241300206 0.094334617 0.172667068 0.0271623353
## [3,] 0.0748084788 0.0155296721 0.016905138 0.113326993 0.0176021832
## [4,] -0.0259515402 -0.0088495967 0.176367921 0.054639638 0.0406656456
## [5,] 0.1038488752 -0.0291450519 0.022135003 -0.097127661 0.0178135040
## [6,] -0.0926380347 -0.0249674343 -0.015782319 0.012095360 0.0356070971
## [7,] -0.2427547527 -0.0788064120 -0.078153800 -0.108063103 -0.0193456563
## [8,] -0.0185403001 -0.0003848425 -0.062466313 0.276441241 -0.0941608358
## [9,] 0.0984486137 0.1484063874 0.042832521 -0.036841862 0.0535632065
## [10,] 0.0002133615 -0.0680039132 0.030785439 -0.227029073 0.0877391930
## [11,] 0.0184954648 -0.0162188937 0.052044389 0.009970633 0.0314481021
## [12,] 0.0235478180 0.0556215683 -0.010635712 0.057065814 -0.0007638026
## [13,] 0.0262809844 -0.0825572381 -0.334387056 -0.207347477 -0.1243055741
## [14,] 0.0225906087 -0.0531817766 -0.070056460 -0.057160255 0.0591849010
## [15,] -0.0011896314 -0.0090967570 0.079387023 0.168591915 0.0476956154
## [16,] -0.1019143048 -0.0201941361 0.020929952 -0.024398147 -0.0763895820
## [17,] -0.0392793481 -0.0885479228 0.031422033 -0.113373119 -0.1461878524
## [18,] 0.0462528390 -0.0609918820 -0.033199577 0.025160289 0.0662132266
## [19,] 0.0937007970 -0.0660988816 -0.008742389 0.020843800 -0.0098716228
## [20,] -0.2302978537 0.0005862315 0.060135252 -0.196920632 -0.1850463143
## [21,] 0.0384255194 -0.0785472431 0.008696807 -0.037751042 -0.0705641320
## [22,] 0.0074105815 -0.0545415799 -0.020443464 0.013020835 0.0307382964
## [23,] 0.0859563246 -0.0266825751 0.121212685 0.059383615 0.3246681681
## [24,] -0.0567090594 -0.0052402402 -0.020509825 -0.047910413 -0.0148658197
## [25,] 0.0724918095 -0.0721238943 0.064627734 0.021177008 0.0328273660
## [26,] -0.0066342506 0.0702260354 0.013193936 0.104592755 -0.0548341119
## [27,] 0.0573640468 0.0050356627 0.021436735 0.048362436 0.0173507534
## [28,] -0.0560507139 -0.0054445210 -0.019581664 -0.047455558 -0.0123798869
## [29,] 0.0330858511 0.0029247140 0.040261163 0.069678230 -0.0142150499
## [30,] -0.1034765922 -0.0418942731 0.059760413 -0.048628712 0.0722622590
## [31,] 0.0823426451 0.1474077010 -0.117401296 0.069452597 -0.1476195389
## [32,] -0.0448182236 -0.0290466846 -0.008244354 0.019959059 0.0044081509
## [33,] 0.1044511959 0.0764607038 0.298234235 -0.058722885 0.1174162679
## [34,] -0.1576490030 -0.1099734454 -0.277311836 0.081070156 -0.0981307680
## [35,] 0.0129659932 0.0119822328 0.116304598 -0.010758220 0.0508583498
## [36,] -0.0132838447 0.0557997056 -0.029788163 0.010252186 -0.0390543015
## [37,] -0.0033299900 -0.0423937897 0.035117959 -0.132487073 0.0705445392
## [38,] -0.0060191594 -0.0412140038 0.034517972 -0.133791548 0.0716166970
## [39,] 0.0326328442 0.2375796084 -0.050157318 -0.329853944 -0.0456117942
## [40,] -0.0648279617 0.0259942908 0.031227007 -0.070680424 -0.0334147310
## [41,] -0.1017603703 -0.0397403180 0.112971956 -0.023165611 0.1389090726
## [42,] 0.3114663695 -0.1024246767 0.015981476 0.066030885 -0.2829227765
## [43,] 0.0262705643 -0.1000735124 -0.057366992 -0.038549338 0.1762264175
## [44,] -0.1351560200 0.1232023543 0.073655535 -0.200902690 -0.1368137739
## [45,] -0.1794774661 0.1253952173 -0.092619143 0.036428338 0.0127859043
## [46,] 0.0644628444 0.0946225688 -0.057421150 0.072227200 0.0394832149
## [47,] 0.0209959903 -0.0260911058 -0.045526829 -0.074821986 -0.0804663414
## [48,] -0.0165030730 0.0718284231 0.041525478 0.082251366 0.1494737278
## [49,] -0.0051682243 -0.0209360964 0.032781353 -0.159857583 0.0176192901
## [50,] -0.0725694901 0.0245586860 0.136372697 0.024551845 0.1042516284
## [51,] 0.0504407618 -0.1274093956 0.004202010 0.089869696 0.0462817985
## [52,] 0.0248601854 -0.0269798755 -0.063539345 -0.047668876 -0.1073677603
## [53,] 0.0012344244 0.0760054678 0.001413342 0.095091133 0.1354170426
## [54,] 0.0463468240 0.1953229459 -0.072940701 -0.023302516 0.1564472777
## [55,] -0.0702335772 -0.0690446328 0.127449384 -0.092229856 -0.0657160912
## [56,] -0.0630657225 0.0278219442 0.024002836 -0.189000088 0.2047072146
## [57,] -0.0504407618 0.1274093956 -0.004202010 -0.089869696 -0.0462817985
## [58,] -0.0756851818 -0.0482131382 -0.010255919 0.096804717 0.1387484636
## [59,] 0.2258383191 0.0324493251 0.268867703 0.042957034 -0.1897328467
## [60,] 0.0513710448 -0.0775970115 -0.030221354 -0.012639205 0.1000761786
## [61,] -0.0812820839 -0.0194553323 0.121864795 -0.056518488 0.0363524627
## [62,] 0.1050020618 -0.0613401603 -0.115952834 -0.102830219 -0.0522892416
## [63,] -0.0621936590 -0.1423879258 -0.232603751 -0.064184189 0.2505585753
## [64,] -0.1194114373 0.0544340313 -0.010625878 0.009974770 -0.0304592840
## [65,] -0.1553935492 0.0367232881 -0.006377039 0.067541093 -0.0559215493
## [66,] -0.0825497070 0.0081449184 -0.005022786 -0.016582694 -0.0328413185
## [67,] -0.1456149132 -0.0076800084 -0.033154838 -0.133951674 0.1139332168
## [68,] -0.0221860089 -0.0131107567 0.024264341 -0.187282412 0.0151390542
## [69,] 0.1604261024 -0.1850544184 -0.031650493 -0.040906106 0.0215867888
## [70,] 0.0123837869 0.0118791828 0.115559096 0.067269555 -0.1464502702
## [71,] 0.0748603098 0.0611840807 0.048819723 -0.011960841 -0.0088893083
## [72,] 0.1975721882 -0.1116847190 -0.157801050 -0.056595206 0.1748983336
## [73,] -0.2599564866 0.1418258097 0.158826066 0.089390434 -0.1237847627
## [74,] 0.0000821709 0.0731856949 0.071254780 -0.050630883 0.1249654903
## [75,] -0.0307393522 0.0612912306 0.075331061 0.013872074 0.1207320712
## [76,] 0.0154473602 0.0140328601 -0.347144519 0.242292305 0.1738407350
## [77,] -0.0792546297 0.0602145406 0.038273477 0.288549639 0.0011079796
## [78,] 0.1029498032 0.1424684349 -0.005584735 -0.155903953 0.1027919510
## [79,] 0.2698912066 -0.2138833709 -0.050581237 0.028212878 -0.0022250965
## [80,] 0.1820081980 -0.3160267293 0.296708308 -0.124803146 0.0642012704
## [81,] -0.1241478967 -0.0733137444 -0.070345743 -0.009807550 0.2116116441
## [82,] 0.1977388590 0.3821703174 -0.156641955 -0.130867255 0.1088746831
## [83,] -0.2491708492 -0.2434616029 0.133334461 0.050577788 0.1684849173
## [,36] [,37] [,38] [,39] [,40]
## [1,] -0.1462393580 -0.0034932479 -0.072665420 -0.0008124307 0.0260292838
## [2,] 0.0405598931 -0.0010078630 -0.024349491 0.0146549749 0.1178628647
## [3,] 0.0563768785 0.0235519470 0.044622246 -0.0024942802 -0.0009728207
## [4,] 0.0203348999 0.0014749638 -0.009220953 -0.0161691090 0.0613146773
## [5,] -0.0373351590 -0.0277160468 0.008187994 -0.0122424590 -0.0562699672
## [6,] 0.0295749210 0.1028277125 -0.023403318 0.0835560325 0.0773549619
## [7,] -0.1526590479 0.0544746491 0.081742697 -0.0427688658 0.0030669339
## [8,] -0.0293441085 0.0243936819 -0.117702978 -0.1039130188 -0.1037812007
## [9,] 0.2427536731 -0.0818161982 0.113929047 0.0564604475 -0.0522368257
## [10,] -0.1445239260 0.1168012368 -0.009841641 0.0899820216 0.2551628299
## [11,] 0.0139601569 0.0272785567 0.003319497 0.0164503484 0.0194494047
## [12,] 0.0808713277 -0.0064498663 0.014520270 -0.0082972462 -0.0313771202
## [13,] 0.1938109518 0.1385482232 0.031588317 0.0005274989 -0.0408482819
## [14,] 0.0151781739 -0.0856731076 -0.013187850 0.0527017045 0.0316666433
## [15,] -0.0478409965 -0.2364409459 -0.009078369 0.1948030094 -0.0605269288
## [16,] 0.0600490681 -0.0592766968 -0.152747832 0.0893216310 -0.0664524102
## [17,] 0.0143947965 -0.0822253838 -0.055938990 -0.0015248259 -0.0649722313
## [18,] -0.0125301763 0.0679257081 0.093488816 -0.1092208823 0.0334189532
## [19,] 0.1041209924 -0.0410103900 -0.003403097 -0.0531452946 -0.0279325276
## [20,] -0.1750925314 -0.0376293549 -0.071509707 0.0974776038 -0.0381161575
## [21,] 0.0683811230 -0.0608076096 -0.026778546 -0.0323266529 -0.0453846424
## [22,] 0.0073873885 0.0370615533 0.030399641 -0.0613283665 0.0074347715
## [23,] 0.0157482793 0.0115785425 0.011243783 -0.0488888130 0.0305874205
## [24,] -0.0238810598 0.0287014906 0.008095712 0.0291226463 0.0024489738
## [25,] -0.0004178995 0.0157437613 0.055352779 -0.0242471765 0.1159892253
## [26,] -0.0002294548 -0.0262076200 0.033960039 -0.0069694531 -0.0512959744
## [27,] 0.0240003199 -0.0286112637 -0.008009182 -0.0294953514 -0.0022146532
## [28,] -0.0237603937 0.0287900396 0.008181773 0.0287482149 0.0026831629
## [29,] -0.0003415383 -0.0067665006 0.047248165 -0.0162428338 0.0300212891
## [30,] 0.0400668657 -0.1067014412 0.060883702 -0.0412097557 -0.1011566495
## [31,] -0.0348809939 0.0804186604 -0.022321521 -0.0955416886 0.0756642496
## [32,] 0.0357094283 0.0525003667 -0.018433893 0.0026597353 0.0115860639
## [33,] 0.0346597811 0.0774902303 0.072179691 -0.0577897028 0.0990753869
## [34,] 0.0206999842 0.0068204164 -0.090844426 0.0552687595 -0.0714473866
## [35,] 0.0377986981 0.0664050539 0.017262418 -0.0218332580 0.0481234568
## [36,] 0.0035360657 -0.0161060154 0.021828581 -0.0741187819 -0.0155776651
## [37,] -0.0090822581 -0.0004716060 -0.015025226 0.0203866748 -0.0466805749
## [38,] -0.0063971167 0.0008359537 -0.014885821 0.0224739280 -0.0462800715
## [39,] -0.1110148703 -0.1776784257 0.008637538 -0.2284624133 -0.1043878616
## [40,] -0.0598858563 -0.0091543804 0.081019571 0.1318744300 0.0346444718
## [41,] -0.1730055722 -0.1216627993 0.191482500 0.1571483672 -0.1028415026
## [42,] -0.1291253495 0.0606824880 0.371217675 0.1705587204 -0.0697787784
## [43,] -0.1087202041 -0.2261434124 -0.424702760 0.1960389427 0.1425368371
## [44,] -0.0427234147 0.3704529353 0.052040441 0.0140598006 -0.0006249749
## [45,] 0.2501207962 -0.2116152812 -0.031272931 -0.0928036861 0.1629191163
## [46,] 0.0760808642 0.0656378866 -0.071556601 0.0771126073 -0.1557452271
## [47,] -0.0133354352 -0.1711648627 0.037986994 -0.0320197682 0.1070998270
## [48,] 0.0144502464 0.1695843378 -0.023718800 0.0264888463 -0.1813319787
## [49,] -0.0059298248 -0.1450195381 0.117390751 -0.0642654371 0.0316502637
## [50,] -0.0411622938 0.1570228578 -0.022982265 -0.0279412817 -0.0873090061
## [51,] -0.0133266772 0.0468182873 0.152077917 -0.1099239947 0.0706949589
## [52,] -0.0147224425 -0.1697672541 0.011954811 -0.0202919327 0.1230769637
## [53,] 0.0092612063 0.1559990737 -0.050038132 0.0261832798 -0.1823204975
## [54,] 0.0988236776 0.0673305591 -0.115860647 0.1047928830 -0.1192186747
## [55,] -0.0502343443 -0.0407296737 0.039001500 -0.0582631736 0.1387256380
## [56,] -0.0307559462 0.0386604822 0.050089751 -0.0892378621 0.2213212250
## [57,] 0.0133266772 -0.0468182873 -0.152077917 0.1099239947 -0.0706949589
## [58,] -0.1892572246 -0.0024947754 0.018532033 0.1182153636 -0.2280505948
## [59,] 0.1550972004 -0.1122670550 -0.044608412 -0.1051972277 0.1238701193
## [60,] -0.0005828779 0.0577157963 0.072478137 -0.0418066212 0.0776937349
## [61,] -0.0499761154 0.0289848507 0.079329273 0.2200173891 -0.0083927873
## [62,] 0.2305654234 0.1651565060 0.225913416 0.1747909024 0.1231346715
## [63,] -0.0359249452 0.1704127631 0.102254748 0.0067095347 0.0804886136
## [64,] -0.0945243911 0.0562530594 -0.020881962 -0.2053882923 -0.0775480844
## [65,] -0.2221505278 -0.0367755665 -0.137732853 -0.3328290876 -0.0821422487
## [66,] -0.0549879038 0.0575141595 0.028683349 -0.0722302941 -0.0212335433
## [67,] 0.2047672155 -0.1577686339 0.247103802 -0.2747441929 -0.1960529287
## [68,] 0.2318469830 -0.0220309950 -0.206129757 -0.1312801361 -0.0103863866
## [69,] -0.3020552070 -0.0825218861 -0.044978952 0.0177536065 0.0675775140
## [70,] 0.0690669390 -0.0800279170 -0.014560026 -0.0656922860 0.1004175232
## [71,] -0.0906056097 0.0393488294 -0.056483202 -0.0199828651 -0.0677228226
## [72,] -0.2477881970 -0.0392510429 0.020856104 -0.3113137121 0.0903680692
## [73,] 0.0462685852 0.2489627425 0.037709083 -0.0682189496 0.3310165632
## [74,] -0.0104691866 -0.0238186834 -0.025000849 0.0861969131 0.2003222920
## [75,] 0.0556656848 0.0875543880 0.158055672 -0.0517983936 -0.2988921723
## [76,] 0.1602725984 -0.0373319076 -0.004372014 0.0673615324 0.2401849070
## [77,] -0.1544433326 -0.1518407926 0.236576639 -0.1694657698 0.1344188045
## [78,] -0.0626789171 -0.1842541447 0.175427915 0.2388783969 -0.0207684888
## [79,] -0.1254155945 0.2378020327 -0.153970090 -0.1789106407 -0.0775626018
## [80,] 0.2547224035 0.0339588782 -0.202498134 -0.1139394790 -0.0976501926
## [81,] 0.1267510313 -0.1697315237 0.206264254 -0.1218186189 -0.0706766061
## [82,] -0.0271031616 0.1280076645 -0.076031239 -0.0754376424 0.1030036878
## [83,] 0.0684078487 0.1109125884 -0.059838065 0.0191883333 0.0563118885
## [,41] [,42] [,43] [,44] [,45]
## [1,] 0.1250558435 -0.0520563921 0.044110517 0.016830807 -0.118125375
## [2,] 0.1678453279 -0.0408930495 -0.080012229 0.018882467 0.033772478
## [3,] -0.0779969578 0.1293542116 0.147204374 -0.114792319 -0.007269599
## [4,] 0.1679838048 -0.0551294035 -0.264692937 0.033979060 0.100498161
## [5,] -0.0413238678 -0.0228269117 -0.100647272 -0.015533029 -0.017894908
## [6,] 0.0031993646 -0.0889893622 0.033713989 0.097037578 -0.096701533
## [7,] -0.2346407553 0.0227039546 -0.071277757 -0.055071721 -0.501738197
## [8,] 0.0365496574 0.2465063386 0.180446376 -0.031619615 0.119451582
## [9,] -0.0844076766 -0.1174533677 -0.082687485 0.033504346 0.194147807
## [10,] 0.2851744445 -0.1069448583 -0.116056599 0.084309814 -0.065411450
## [11,] 0.0114769341 -0.0190912128 -0.058405973 0.006087551 -0.011656948
## [12,] -0.0012337620 0.0353695976 0.012725390 0.010407236 0.095063175
## [13,] 0.1466810336 -0.0676045261 0.255950466 0.055706516 0.297392279
## [14,] 0.0656594646 -0.1172715712 -0.154974196 0.026194429 -0.113690928
## [15,] -0.2241367311 0.0717230998 -0.092630615 -0.039704132 -0.122336307
## [16,] 0.1178542318 0.0492735039 0.075174615 0.031020901 -0.153999123
## [17,] -0.0776713408 0.0416361216 0.025775209 0.069039293 0.059160639
## [18,] -0.0114881328 -0.0115480212 -0.002604433 -0.035382686 0.080502860
## [19,] 0.0065879663 -0.0015767150 -0.011029592 0.018967036 0.016012629
## [20,] -0.1204935470 0.0609276566 0.056559305 0.060581411 0.052363630
## [21,] -0.0304442078 0.0174840009 0.004836016 0.041844613 0.035713962
## [22,] 0.0249603547 0.0050507677 0.019692181 -0.019263902 0.019669861
## [23,] -0.0297758480 -0.0490168241 0.115921427 0.015617127 0.012939370
## [24,] 0.0084710167 -0.0002508857 0.019267712 -0.016763942 0.046656612
## [25,] -0.0613475810 0.0729234279 0.030372599 0.008035889 0.018372346
## [26,] 0.0626108070 -0.0644685628 -0.034790674 0.039422769 -0.005248758
## [27,] -0.0086985231 -0.0001244147 -0.018379126 0.016882589 -0.046554979
## [28,] 0.0082430019 -0.0006261907 0.020155215 -0.016644306 0.046755516
## [29,] 0.0041087359 0.0007248248 -0.004170748 0.026290286 0.006375651
## [30,] 0.2611448891 -0.1146492666 0.034511988 -0.051237996 0.038475497
## [31,] -0.2232093732 0.0440914915 0.107958880 0.140331702 0.054662182
## [32,] 0.0017750905 0.0118385212 -0.028180058 -0.005970996 0.021869213
## [33,] -0.0195676543 -0.0512304590 0.120607748 0.033021027 0.078860515
## [34,] 0.0199763698 0.0626806373 -0.148010849 -0.038005734 -0.038613969
## [35,] -0.0068136476 -0.0130768049 0.030580658 0.009527809 0.046679809
## [36,] 0.0252650156 -0.0400012803 0.077060048 0.046817471 0.050676360
## [37,] -0.0791642507 -0.0043416789 0.069784768 0.031871774 0.015342643
## [38,] -0.0775916290 -0.0026685262 0.071428436 0.034407596 0.013778723
## [39,] -0.0005962201 -0.0703849143 -0.113223168 -0.091065692 0.114977104
## [40,] -0.0033141938 0.0025432181 0.066202575 -0.068354378 0.104992879
## [41,] -0.0030530593 0.3583678961 -0.023762773 0.172981241 0.180666434
## [42,] -0.0997079472 -0.0341952363 0.026701648 -0.123111482 -0.096996900
## [43,] -0.1304936322 -0.2478728948 0.037914686 0.018133518 0.182845358
## [44,] 0.1818064596 -0.0043211533 -0.060164082 -0.105693266 0.125722850
## [45,] -0.0454784653 -0.1725718356 0.233517355 -0.172014065 -0.102507605
## [46,] 0.0059417676 0.0875872019 -0.060204509 0.072869046 0.003165727
## [47,] 0.0230075010 0.0801190849 0.030383116 0.036202904 0.007447918
## [48,] -0.0482905591 -0.0218520813 -0.029392968 -0.044740522 -0.010144132
## [49,] -0.0179295718 -0.1014836661 0.112713502 0.183449466 -0.132735913
## [50,] -0.0925716117 0.0274413061 -0.036280524 -0.120130751 0.051221755
## [51,] -0.0206852037 -0.1259746848 -0.022587091 -0.109485843 0.036677182
## [52,] 0.0361755730 0.1305567238 0.003167407 -0.009744551 0.049110952
## [53,] -0.0282133117 0.0109182728 -0.044356243 -0.041457182 0.003609356
## [54,] -0.0072046965 0.2866004700 0.075152984 0.223321490 -0.011925282
## [55,] -0.0534156026 0.0127313324 0.019505594 -0.063434200 0.044131433
## [56,] -0.0781417520 0.2404323770 0.153457492 0.241521151 -0.059891558
## [57,] 0.0206852037 0.1259746848 0.022587091 0.109485843 -0.036677182
## [58,] -0.1567773128 -0.0861541412 0.028415906 -0.091264417 0.273842588
## [59,] 0.0576671584 0.0330951655 -0.041926032 0.212086785 -0.012823565
## [60,] 0.0026427049 0.0310547432 -0.029775522 -0.014730119 -0.026685096
## [61,] -0.1000021647 -0.1091502578 -0.216581988 -0.059599340 0.131049231
## [62,] 0.0000541704 0.1287130671 0.140293400 -0.062021475 -0.011561049
## [63,] -0.0128540873 0.0339207987 -0.058416817 -0.089991888 -0.076582977
## [64,] 0.0070979398 -0.0786766485 -0.031637820 0.024488749 -0.119889296
## [65,] 0.0887359957 0.0711112037 0.040591411 -0.041904129 0.059588448
## [66,] 0.0057897294 0.0045484425 -0.015152251 -0.038012824 0.012098731
## [67,] -0.1672429048 -0.0587096141 -0.211475201 0.051135389 0.202890989
## [68,] -0.0499506109 -0.0055829904 0.011913393 -0.160138819 -0.029018211
## [69,] 0.2646774702 0.1317484332 -0.050085507 0.093791534 0.050541990
## [70,] 0.0828248090 0.0168237048 -0.061513182 0.026049489 -0.111869962
## [71,] 0.2042526446 0.0304303542 0.078768602 -0.047142632 0.098307499
## [72,] -0.1597072365 0.1597832783 0.083181219 0.034750799 0.073300045
## [73,] -0.2515842608 0.0597677720 -0.189695705 0.239729463 0.168533145
## [74,] 0.1419750493 0.2152801681 0.065643792 -0.497457935 0.066060691
## [75,] 0.2074598719 -0.0874876123 0.199717474 0.219262505 -0.245555375
## [76,] 0.0433792484 0.0165581654 -0.204311691 0.153519586 0.047726866
## [77,] 0.0232242207 -0.1116120151 0.187209664 -0.121428141 0.045369437
## [78,] -0.0775574740 -0.1588688258 0.125047970 0.090516835 -0.027952132
## [79,] -0.0555524600 -0.2779997571 -0.081089557 0.185437931 0.013503415
## [80,] -0.1102820749 0.2231072510 -0.082584315 -0.175279001 -0.100212132
## [81,] 0.2133240941 0.1757720353 -0.214942886 0.024021364 -0.041998912
## [82,] -0.1339437434 0.0099900207 -0.113618202 -0.186797841 -0.105786815
## [83,] -0.0474284694 -0.1415123841 0.345727553 0.061248888 0.021839096
## [,46] [,47] [,48] [,49] [,50]
## [1,] 0.050504658 0.0525019917 -0.018439522 0.049789645 -0.0392222845
## [2,] -0.035477555 -0.0410919251 -0.046464821 0.086256698 0.0616663325
## [3,] 0.054708594 0.0645463217 -0.120499203 -0.026108670 -0.1138665169
## [4,] 0.124402766 0.0458431358 -0.018719123 -0.038981998 -0.1296939394
## [5,] 0.087170424 0.0594378975 0.076806347 -0.064969679 -0.0834785514
## [6,] -0.082369252 -0.1906515082 0.106311955 0.193195670 0.2305348757
## [7,] -0.051590546 -0.0455871146 -0.212106587 -0.133644207 0.0899457099
## [8,] -0.212187103 0.2318052918 -0.177892098 0.235143745 0.1839921913
## [9,] 0.145289405 -0.1953741049 0.165047184 0.004211743 -0.1238459995
## [10,] 0.050776434 0.0717163781 0.150326318 -0.171481230 -0.0071900675
## [11,] 0.049709081 -0.0108760498 0.026419788 0.020079720 -0.0186172553
## [12,] -0.015376054 -0.0011039169 0.014752921 0.064645616 0.0161032325
## [13,] -0.048094206 -0.0733027586 -0.099544542 -0.247390927 0.0853684717
## [14,] -0.041820337 0.0792047910 -0.042918163 -0.102489419 0.1009593151
## [15,] 0.057844549 -0.0164335960 0.042793009 0.131538432 -0.0134434498
## [16,] 0.139940489 -0.0074891298 0.113170234 -0.067436870 0.1064589150
## [17,] 0.014064034 -0.0320878480 0.047490037 0.012005439 -0.0835059921
## [18,] 0.068464296 -0.0037878426 -0.028823372 0.051287556 -0.0023575209
## [19,] -0.047296746 -0.0261878466 0.025677976 -0.061076697 0.0360458482
## [20,] 0.108222107 0.0044011818 0.017999856 0.131181088 -0.1838251528
## [21,] -0.021945688 -0.0297949528 0.036306410 -0.031063550 -0.0154815641
## [22,] 0.095187147 -0.0051929789 0.009764154 0.021415134 0.0289496009
## [23,] -0.084411207 0.0263294709 -0.128193424 0.018806980 0.0506979980
## [24,] -0.002571849 -0.0025325008 -0.008473422 0.008968596 0.0056774898
## [25,] 0.055494962 -0.2212963520 -0.050478176 -0.151412051 -0.0032032726
## [26,] -0.101077024 0.1981247647 0.023160378 0.194931716 0.0242534692
## [27,] 0.001925431 0.0027339474 0.007491471 -0.008824111 -0.0052890194
## [28,] -0.003218149 -0.0023308954 -0.009454926 0.009112563 0.0060656473
## [29,] -0.028751140 -0.0007991850 -0.012593936 0.032900706 0.0120357597
## [30,] 0.007412878 0.2322157341 -0.023142226 0.047104192 -0.1496995848
## [31,] 0.019732081 -0.2605134412 0.016591184 -0.061498823 0.1469263028
## [32,] -0.037972613 0.0109126096 -0.038057176 0.019992149 -0.0007795473
## [33,] -0.053759807 -0.0689392604 -0.034835426 0.005831839 0.0617573154
## [34,] -0.006968874 0.0771039400 -0.023932556 0.023667907 -0.0560857279
## [35,] -0.047095666 -0.0209201838 -0.039425148 0.015620343 0.0246982774
## [36,] 0.014698015 -0.0108021223 -0.003949407 -0.006832771 -0.0043074125
## [37,] 0.048471226 -0.0242260863 -0.031047466 -0.066250174 0.0277707732
## [38,] 0.049051064 -0.0235812049 -0.030938551 -0.070374219 0.0276565935
## [39,] 0.074034684 -0.0205213628 0.007218294 0.059012656 -0.0515018467
## [40,] 0.046989533 0.0344819498 -0.052138449 0.004396874 0.0274079361
## [41,] -0.050853393 -0.1317925232 -0.014508681 -0.262722722 0.0670152188
## [42,] 0.267341229 0.1838562652 0.022632837 -0.048765134 0.0338411456
## [43,] 0.037304451 0.0311377056 -0.026169809 0.053496265 0.0909962395
## [44,] -0.024076736 0.1035627710 -0.060447849 0.124003916 0.0814813936
## [45,] -0.023429843 -0.0488511751 -0.059256824 0.153584761 -0.1830377494
## [46,] -0.019362287 0.0607370208 -0.026445366 -0.133839916 -0.0797366346
## [47,] -0.108565887 0.0680678306 0.055534609 0.054802471 -0.0159155695
## [48,] 0.077388446 -0.0516513717 -0.058406629 -0.067618839 -0.0037982330
## [49,] -0.014306261 -0.0705416761 0.119685311 0.083620073 0.0154401110
## [50,] 0.055131539 0.0347022211 -0.062704094 -0.039775184 0.0064823847
## [51,] 0.005357058 -0.1134542068 -0.058666631 0.110264492 0.0743287212
## [52,] -0.131270830 0.1055365976 0.036008722 0.041555550 -0.0225520613
## [53,] 0.058387776 -0.0298825328 -0.039775457 -0.086612726 -0.0068031818
## [54,] 0.038853237 0.2032920717 0.100248713 -0.036100579 -0.1429732486
## [55,] -0.018691508 0.0691594067 -0.011084747 0.067514352 0.0144019915
## [56,] 0.023210873 0.1678048667 0.162047823 0.224459681 -0.0415837636
## [57,] -0.005357058 0.1134542068 0.058666631 -0.110264492 -0.0743287212
## [58,] 0.058121067 -0.0248224839 0.201159716 0.118909845 -0.1300991970
## [59,] -0.011747797 0.0489937286 -0.161441543 -0.141635196 0.0966296800
## [60,] 0.012635845 0.0662999012 0.072061686 -0.034276393 0.0033345951
## [61,] -0.561892631 0.0297826489 -0.116395696 -0.086916601 -0.0266728210
## [62,] 0.025685710 -0.0178283345 -0.010643459 0.244196060 -0.1414114271
## [63,] 0.014732674 0.0469993018 0.147603473 0.041034286 -0.0411242384
## [64,] 0.174305270 -0.1137414656 0.007496022 0.040524398 -0.1025520199
## [65,] 0.254123477 -0.0222939615 -0.046382639 -0.062120884 0.2667842391
## [66,] 0.001506083 -0.0408621400 -0.045872327 0.035281051 0.0106884769
## [67,] 0.008209193 0.1805830809 0.183116212 0.059418927 0.3598236357
## [68,] 0.018658267 -0.0273949499 -0.261430868 -0.173229441 -0.2785846083
## [69,] -0.020570666 -0.3267714240 -0.069666385 0.228281458 -0.0560943234
## [70,] -0.041985144 0.2173225090 0.194152490 -0.166607410 0.1310677716
## [71,] 0.012567671 -0.1750258894 -0.073082445 0.096524783 0.0392017851
## [72,] -0.106614747 0.1446746776 -0.089202634 -0.117915671 -0.1324740956
## [73,] 0.148910368 0.0367969355 -0.142388406 0.060510912 -0.1473537761
## [74,] 0.187597302 0.1176181735 0.086547763 -0.077188847 0.1381271592
## [75,] -0.094373182 -0.0864004261 0.088425168 0.058363948 -0.0311727531
## [76,] 0.238781047 -0.0124987394 -0.013958311 -0.028905099 0.0977259361
## [77,] -0.104561910 0.0001488275 0.180614600 -0.241358493 -0.2737192702
## [78,] 0.211945469 0.1843192641 -0.474277575 0.101364837 0.1967338356
## [79,] 0.030344561 0.2565382871 -0.052054759 0.088275543 -0.1687786204
## [80,] 0.044579498 -0.0784230512 0.091169482 0.167303929 0.0486577654
## [81,] 0.029026562 -0.0745158846 -0.333473806 0.056768321 -0.1279624949
## [82,] -0.236663938 -0.0729216997 0.101196787 -0.008015340 0.1356520765
## [83,] 0.059836482 0.1082706759 0.027115833 -0.177732350 0.1106783416
## [,51] [,52] [,53] [,54] [,55]
## [1,] 0.100348738 0.0739909073 -0.070787137 -0.0435528096 0.1705269235
## [2,] 0.083930995 -0.0697284287 0.088883916 -0.0833656673 0.0119925989
## [3,] 0.060522477 0.1133255409 0.284406113 0.2264523725 -0.0204440618
## [4,] -0.162316153 -0.0286209065 -0.053555642 -0.1513648979 -0.0883213811
## [5,] -0.119200321 0.0424213492 -0.090332106 -0.0268022875 -0.0800290252
## [6,] 0.182090132 -0.1079909277 -0.017799878 -0.1716840541 0.0530186486
## [7,] -0.071536873 0.0766293338 -0.163487492 -0.1574536554 -0.0170169789
## [8,] -0.082530187 -0.1128134021 -0.059167790 0.0129394766 0.1354789462
## [9,] 0.018101545 0.1672453455 -0.242515905 -0.0477479922 -0.1181191325
## [10,] 0.131456590 -0.2118496601 0.468270765 0.0591829253 0.0886793903
## [11,] -0.013389419 0.0008509882 0.015215777 -0.0482519066 -0.0388964184
## [12,] -0.011615649 0.0073451605 -0.115295933 -0.0285049066 0.0165437392
## [13,] -0.132975285 -0.0404420763 0.007525616 -0.0664061635 -0.0196628799
## [14,] 0.045745624 -0.0107039555 0.017462407 -0.0960484671 -0.1121862802
## [15,] 0.078305621 -0.1094439613 -0.037636666 0.0146982080 0.2521988494
## [16,] 0.050517223 0.3487152366 0.082865899 0.3229158652 -0.0770507892
## [17,] 0.013358004 -0.0645171026 0.017803791 -0.1349944811 0.1132952689
## [18,] -0.070024585 -0.3047722648 -0.037129512 -0.2374404793 -0.0003575992
## [19,] 0.027281824 0.0190632545 -0.017838946 0.0055288743 0.0042973632
## [20,] -0.032530218 -0.1255582396 0.058221732 -0.1983234467 0.1496946517
## [21,] 0.022158960 -0.0171937957 -0.002746632 -0.0564391813 0.0526900167
## [22,] -0.041274046 -0.1423242303 -0.005643575 -0.0960414155 -0.0226002938
## [23,] 0.020199342 0.0163572797 -0.014193431 0.0328482162 -0.0094782843
## [24,] -0.023302885 0.0132917359 -0.007198814 -0.0059518963 -0.0051506951
## [25,] -0.043021385 0.0742528621 -0.094693117 0.0583684597 0.4816048187
## [26,] 0.117102077 -0.0665074573 0.071360033 -0.0330954555 -0.4433982182
## [27,] 0.023456255 -0.0131657691 0.007089749 0.0062030643 0.0050778434
## [28,] -0.023148140 0.0134169301 -0.007307462 -0.0057003666 -0.0052232486
## [29,] 0.044114781 0.0002515404 -0.007900800 0.0110051030 -0.0051455575
## [30,] -0.254003392 -0.1159871402 -0.057144618 0.1698578934 0.1644867000
## [31,] 0.307107729 0.1040750485 0.096256001 -0.1814880155 -0.1844970827
## [32,] -0.040062001 -0.0306966407 -0.015081588 0.0200930938 0.0127953474
## [33,] -0.047268465 -0.0263763345 -0.033581359 0.0002043082 -0.0646031749
## [34,] -0.015761751 -0.0208360089 0.008115788 0.0288217976 0.0759627323
## [35,] -0.045829001 -0.0310971082 -0.023698128 0.0133895616 -0.0179030349
## [36,] 0.023695967 -0.0085736588 0.019899706 -0.0030376721 -0.0076333502
## [37,] 0.018870176 0.0292522413 0.053809128 0.0109313241 -0.0220646570
## [38,] 0.016763286 0.0305692986 0.064134834 0.0146037680 -0.0173004747
## [39,] 0.054603933 0.0862090295 0.029000104 0.1157218210 0.0593840188
## [40,] -0.021416741 0.0383570358 -0.051345763 -0.0029366294 -0.0382004563
## [41,] 0.055131631 -0.1255917289 -0.017404511 0.1551712677 -0.0127039358
## [42,] -0.077312296 -0.1582761787 -0.064551475 0.0248537106 -0.1601228897
## [43,] -0.002788718 0.0077315875 -0.043536224 -0.0560288812 0.0137912538
## [44,] 0.161429328 0.2191725507 -0.223983293 -0.0449605778 0.0917738650
## [45,] -0.245086887 0.1084593731 0.218480628 -0.1040104347 -0.0834263615
## [46,] -0.032401895 -0.0180468369 0.017328547 -0.1022796155 -0.0270618525
## [47,] 0.135896170 -0.0397699935 -0.072320753 0.0831681209 -0.0383118482
## [48,] -0.133114235 0.0632734486 0.105861108 -0.0676069186 0.0337253183
## [49,] -0.129329096 -0.0366242207 -0.248138005 0.0563572679 0.0555849216
## [50,] 0.007321752 0.0935890951 0.187550384 -0.0662545588 0.0258417805
## [51,] -0.008667910 -0.0016016846 0.016803205 0.1782082622 0.0139842854
## [52,] 0.206457123 -0.0416920941 -0.017512067 0.0816464597 -0.0670034700
## [53,] -0.089282839 0.0450146459 0.114818665 -0.0579885166 0.0022520881
## [54,] -0.071594207 -0.0075135928 -0.017054650 -0.1830872720 -0.0594143964
## [55,] 0.115365103 0.0339747958 0.038196457 0.0076714208 0.0217410564
## [56,] -0.018630962 0.0127623152 -0.105350136 0.0656870836 -0.0954866725
## [57,] 0.008667910 0.0016016846 -0.016803205 -0.1782082622 -0.0139842854
## [58,] 0.153468262 0.0314412652 0.083616308 0.1614426465 -0.0581463573
## [59,] -0.058865213 0.0083449585 0.047574554 -0.0945132364 0.0694958631
## [60,] -0.032339185 -0.0160350783 0.024925012 -0.0266608276 -0.0558868550
## [61,] -0.039435475 0.1030271184 -0.113682047 0.0452203191 -0.1078505197
## [62,] 0.068231857 0.1449650910 0.130394015 -0.0099509383 0.2046070395
## [63,] -0.010874936 -0.0279272765 -0.082589775 -0.0061980376 -0.0762724574
## [64,] 0.065550069 -0.1548337382 0.029751337 -0.0106507094 -0.0785336894
## [65,] -0.078166261 0.0240752194 -0.092879805 0.1265261970 -0.0888946727
## [66,] 0.003193292 0.0238036831 -0.015700894 0.0474748847 -0.0276925264
## [67,] -0.027104626 0.0159994704 0.161125643 -0.1242503160 0.1426930343
## [68,] 0.255897835 -0.2879436181 -0.221771957 0.2054419068 -0.1181649836
## [69,] -0.320415653 0.2363376694 0.015076435 -0.0883951917 -0.1802278207
## [70,] 0.001954946 0.1941364810 0.020237869 0.0016055684 0.0541432914
## [71,] 0.141448647 -0.2539493494 -0.008520459 -0.0468983878 0.0377508135
## [72,] -0.034729011 0.1066992301 0.068608984 -0.0296601194 -0.0157741683
## [73,] -0.140794044 -0.0417164631 0.022880477 0.1842828103 -0.0743671553
## [74,] 0.080073310 0.0780995253 -0.219520885 -0.1984528405 -0.0255460016
## [75,] 0.061063346 -0.0699166865 -0.094202304 0.1331114633 -0.0081574160
## [76,] 0.041718390 -0.0537461330 -0.191619143 0.1701185295 0.0333586833
## [77,] 0.111078493 0.0075379262 -0.018441936 -0.2132694505 0.0374933158
## [78,] 0.041661805 -0.0185044033 0.077058275 -0.0249302276 -0.0408028004
## [79,] 0.216528018 0.1914151977 -0.126419009 -0.0571153234 0.1762023412
## [80,] 0.007391299 -0.0708780552 0.063358313 -0.0264588785 -0.1121812796
## [81,] 0.276332428 0.1589368759 0.072945113 -0.1681669403 0.0017398225
## [82,] -0.158073608 -0.1902172825 0.078567968 0.1408291231 0.0555143499
## [83,] 0.035255076 0.0275212281 -0.073342079 -0.0318370023 -0.0584615599
## [,56] [,57] [,58] [,59] [,60]
## [1,] 0.139139511 -0.0556199142 0.053627052 -0.002281386 -0.0498216437
## [2,] -0.047093047 -0.0248302469 0.036344181 -0.034411473 -0.0154793103
## [3,] 0.113220736 -0.0235836406 -0.116693471 -0.583562107 0.2425761904
## [4,] 0.121722692 0.2092788451 -0.090208496 0.345075596 0.0285323310
## [5,] 0.053794479 0.1315800499 -0.101329133 0.209919938 -0.0030959185
## [6,] -0.305532129 -0.3810627896 0.334037440 -0.001284497 -0.1772825579
## [7,] 0.222179883 -0.2168375351 -0.071209821 0.012046842 0.0812437273
## [8,] -0.055772365 0.2302613420 0.090442161 0.106991867 -0.1323114826
## [9,] 0.016494000 -0.2326754237 -0.019376596 -0.068168793 -0.0997472228
## [10,] -0.121686693 0.1138766352 0.046350818 0.080635869 0.1447097285
## [11,] -0.016459765 -0.0218987814 0.016043785 0.025596873 0.0078276620
## [12,] -0.006046687 -0.0211252926 0.023813600 0.015963367 -0.0766270331
## [13,] 0.013971977 -0.1885847389 0.107902423 0.092032440 0.2521036648
## [14,] 0.029513898 0.1395970677 -0.181849660 -0.241113776 -0.5598705388
## [15,] -0.019373673 -0.1104031741 0.073240984 0.210820222 0.4549585324
## [16,] -0.033565417 -0.0857147842 0.088701751 0.181264015 -0.0845716580
## [17,] 0.087291468 0.0591461449 -0.014485503 -0.073321134 -0.0241394510
## [18,] 0.095165987 0.0091385941 -0.053160041 -0.092637472 0.0424983685
## [19,] -0.010361617 0.0358869743 0.018197847 -0.001379820 -0.0010778403
## [20,] 0.140960558 0.0150965193 -0.054274085 -0.099503871 -0.0315909368
## [21,] 0.032453411 0.0475441906 0.004428653 -0.033264745 -0.0113231001
## [22,] 0.066255228 -0.0175281617 -0.016751484 -0.021461350 0.0094358162
## [23,] 0.073402324 -0.0411336479 -0.041699593 -0.012301666 0.0237608363
## [24,] 0.013028186 0.0210384771 -0.002288334 0.002960118 -0.0066109539
## [25,] -0.264110353 0.0892857017 -0.195826313 -0.033770805 -0.0992442490
## [26,] 0.244097781 -0.0608211239 0.176174800 -0.006198994 0.1094141518
## [27,] -0.012465480 -0.0213522510 0.001968944 -0.003054141 0.0067925100
## [28,] 0.013590156 0.0207234537 -0.002607606 0.002865918 -0.0064290009
## [29,] 0.003351226 0.0110910007 -0.000226594 -0.020646458 0.0112247311
## [30,] -0.044273407 -0.2702779009 0.073276617 -0.060456449 -0.0975479458
## [31,] -0.042758380 0.2666146547 -0.061523019 0.092410951 0.0685976891
## [32,] 0.018852103 -0.0178113569 0.010678961 -0.049835582 -0.0112524693
## [33,] 0.037444725 -0.0240448828 -0.026777723 -0.028868370 0.0513895417
## [34,] -0.006111368 -0.0043114485 0.039245319 -0.046244577 -0.0619762680
## [35,] 0.027772406 -0.0216122594 -0.003861038 -0.044788848 0.0135298541
## [36,] -0.047510871 -0.0070561776 0.007684074 0.015998944 -0.0173641999
## [37,] -0.001913983 0.0020120037 0.020804711 0.029029722 -0.0177949799
## [38,] -0.003835650 -0.0030808132 0.015076963 0.031755285 -0.0141330834
## [39,] -0.024573140 -0.0559974806 0.045363297 -0.003005600 0.0299765370
## [40,] 0.013488183 0.0157341727 0.023406695 0.011570010 -0.0005503884
## [41,] 0.238980556 -0.0379185905 0.159437295 0.033719265 -0.1216481676
## [42,] -0.267046591 -0.0362032352 -0.005390583 0.008487171 -0.0522688072
## [43,] 0.203351089 -0.0207513685 -0.005466357 -0.035571707 0.0126695630
## [44,] 0.038455087 0.0403764358 -0.003277393 -0.089164143 0.1052306830
## [45,] -0.200840229 0.0818670850 -0.095594118 0.118620688 0.0402877702
## [46,] -0.036327867 -0.0332441532 0.050354217 -0.014286040 -0.0003070659
## [47,] -0.036773730 -0.1140960922 -0.154573430 0.030247439 -0.0109966341
## [48,] -0.013784835 0.0117905792 0.084200690 0.001670684 -0.0048746436
## [49,] -0.051417805 0.3990632348 0.399446807 -0.209319726 0.0851416845
## [50,] -0.011893591 -0.0941564696 -0.042110966 0.117310865 -0.1042696276
## [51,] 0.095606009 -0.0004381468 -0.007425919 0.052693600 -0.0209524627
## [52,] -0.027903659 -0.2556952200 -0.307293930 0.100203378 -0.0344843367
## [53,] -0.035499803 -0.0509979775 0.009716067 0.034822146 -0.0314832756
## [54,] -0.179745077 -0.0514033228 -0.056251834 -0.036821170 0.0251305499
## [55,] 0.031847978 -0.0272456799 -0.051685291 0.068821311 -0.0605241804
## [56,] -0.152126969 0.0105740602 -0.179773349 0.013506232 0.0096747730
## [57,] -0.095606009 0.0004381468 0.007425919 -0.052693600 0.0209524627
## [58,] -0.117574582 0.0911388172 0.067089893 -0.005644024 -0.0859790279
## [59,] 0.040010019 -0.1459109698 0.000118872 -0.028071556 0.0323719331
## [60,] -0.047033046 -0.0161517321 0.048928404 -0.043781617 0.0279906673
## [61,] -0.250362027 0.0853230130 -0.077679700 -0.030387336 0.1486937604
## [62,] 0.362983726 0.0492793340 0.109228663 0.209726477 -0.2002045665
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## [83,] 5.348092e-03 0.0006226707 -4.539767e-04 3.585349e-04 -1.507092e-04
## [,71] [,72] [,73] [,74] [,75]
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## [58,] -1.674076e-06 -1.037004e-10 7.950830e-10 -1.380569e-09 -1.851365e-10
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## [67,] -6.634804e-06 4.657586e-11 -2.465220e-10 4.395517e-10 5.084697e-11
## [68,] 6.510438e-06 5.449483e-11 -1.641015e-10 2.554045e-10 8.111937e-11
## [69,] 2.645434e-06 -8.847631e-11 4.797003e-10 -9.036030e-10 -1.857958e-10
## [70,] 7.610386e-06 7.047864e-11 -8.756272e-11 2.140545e-10 -7.982054e-11
## [71,] -9.007801e-06 -7.376729e-11 1.458166e-11 -6.165865e-11 8.469452e-11
## [72,] 5.468470e-07 8.748706e-11 -3.260918e-10 4.615026e-10 1.098749e-10
## [73,] 3.326268e-06 8.996003e-12 1.129525e-10 -2.752024e-10 -9.433248e-13
## [74,] -1.961913e-06 -1.755184e-11 1.318408e-10 -3.991646e-10 2.462951e-11
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## [76,] -3.658209e-06 -2.336872e-11 1.139152e-10 -1.766846e-10 -5.843852e-11
## [77,] -2.874351e-06 2.119849e-11 -5.229798e-11 5.368792e-12 7.524489e-11
## [78,] 3.269682e-06 7.340276e-11 -2.541579e-10 4.515502e-10 5.515818e-11
## [79,] 2.995686e-06 2.114747e-11 -2.720949e-10 4.586642e-10 6.408329e-11
## [80,] 1.693739e-06 6.735038e-11 7.351836e-11 -2.017491e-10 -3.137451e-11
## [81,] 2.390013e-06 4.046819e-11 -1.009812e-10 1.585041e-10 1.667354e-11
## [82,] 2.081484e-06 6.689141e-11 -1.678045e-10 3.537798e-10 1.703954e-11
## [83,] -1.950317e-06 -2.659613e-11 2.564685e-10 -4.921604e-10 -7.134390e-11
## [,76] [,77] [,78] [,79] [,80]
## [1,] -4.999286e-10 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
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## [3,] -5.210139e-08 -1.716042e-09 1.959081e-09 4.598664e-09 9.881177e-10
## [4,] -5.558146e-08 -1.984188e-09 2.281384e-09 5.385487e-09 8.924565e-10
## [5,] -7.796681e-08 -2.707612e-09 3.031922e-09 7.012225e-09 1.625302e-09
## [6,] -6.635764e-08 -2.312660e-09 2.607471e-09 6.200659e-09 1.049171e-09
## [7,] 1.492442e-09 5.000843e-11 -7.486277e-11 -1.606802e-10 -8.679289e-11
## [8,] 5.098186e-09 2.144270e-10 -3.645827e-10 -8.964891e-10 -5.914844e-11
## [9,] 6.692607e-09 3.014319e-10 -4.836882e-10 -1.426501e-09 2.553635e-10
## [10,] 1.804820e-09 6.285228e-11 -1.264679e-10 -3.405308e-10 -1.164024e-11
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## [12,] -1.190353e-08 -5.617966e-10 9.045083e-10 2.388384e-09 -8.718957e-11
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## [14,] -2.814305e-11 -3.048548e-11 -2.376657e-11 -2.329831e-10 2.698412e-10
## [15,] -1.388702e-10 3.234505e-11 2.950672e-11 3.190161e-10 -4.035309e-10
## [16,] -3.221893e-03 3.178404e-02 1.561691e-02 -1.030186e-01 7.942453e-02
## [17,] 2.462462e-02 1.358390e-01 -2.602938e-02 1.616306e-01 -3.873314e-01
## [18,] -8.881589e-03 8.761708e-02 4.305016e-02 -2.839849e-01 2.189446e-01
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## [21,] -5.706608e-02 -1.115156e-01 2.881152e-02 -5.462692e-02 2.030028e-01
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## [23,] -1.227971e-05 -3.668593e-03 2.038648e-03 -5.130337e-03 1.725660e-03
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## [71,] -6.613275e-10 3.013923e-11 -4.512896e-12 -6.576256e-11 5.106822e-11
## [72,] 1.324288e-09 -2.758771e-11 2.113314e-11 7.221811e-11 -6.312094e-11
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## [80,] 5.903117e-10 -4.534560e-11 3.646622e-11 -4.107818e-12 7.686617e-11
## [81,] 5.618870e-11 -9.298419e-12 4.505730e-12 3.807939e-11 -5.246855e-11
## [82,] 5.151244e-10 -1.818477e-11 2.604538e-11 7.459013e-11 -7.234920e-11
## [83,] 4.436413e-10 -1.077137e-11 9.938743e-12 -4.124119e-11 1.298003e-10
## [,81] [,82] [,83]
## [1,] 0.000000e+00 0.000000e+00 0.000000e+00
## [2,] 1.082495e-10 -5.360328e-10 -1.380192e-11
## [3,] -1.142521e-09 1.132375e-09 -3.416833e-09
## [4,] -1.354987e-09 1.696646e-09 -3.770373e-09
## [5,] -1.695501e-09 1.512107e-09 -5.222053e-09
## [6,] -1.592381e-09 1.586148e-09 -4.359023e-09
## [7,] 1.867823e-11 -1.109246e-10 1.803057e-10
## [8,] 6.040922e-11 -9.315287e-10 7.109628e-10
## [9,] 2.448602e-10 -1.476889e-09 8.821214e-10
## [10,] 4.466212e-11 -4.121984e-10 2.890956e-10
## [11,] 5.175890e-09 -5.617070e-09 1.468290e-08
## [12,] -2.915045e-10 2.471723e-09 -1.697646e-09
## [13,] -4.483423e-12 -1.496537e-11 -5.794101e-11
## [14,] 1.584642e-10 -3.738896e-10 1.402211e-11
## [15,] -1.964947e-10 5.500704e-10 2.458040e-11
## [16,] -2.817010e-02 -3.405628e-02 -7.726224e-02
## [17,] -3.212249e-01 4.903230e-02 1.948720e-02
## [18,] -7.765474e-02 -9.388081e-02 -2.129840e-01
## [19,] 3.797900e-01 -8.151298e-03 -1.497550e-01
## [20,] 2.166770e-01 -1.978225e-02 -4.695125e-02
## [21,] 4.414064e-02 -4.856330e-02 1.037027e-01
## [22,] 9.726854e-02 1.175929e-01 2.667788e-01
## [23,] -5.942202e-03 3.186867e-03 2.830113e-03
## [24,] 1.528615e-01 9.865076e-02 -2.104625e-01
## [25,] -2.847525e-02 8.092324e-02 8.479297e-04
## [26,] -3.157943e-02 8.974496e-02 9.403655e-04
## [27,] 4.644955e-01 -1.587930e-01 -2.900600e-01
## [28,] 3.116096e-01 -2.574359e-01 -7.958181e-02
## [29,] 5.605768e-02 -1.593092e-01 -1.669274e-03
## [30,] -2.651216e-02 7.177470e-02 -9.341822e-03
## [31,] -2.561253e-02 6.933919e-02 -9.024828e-03
## [32,] -1.436453e-01 4.222405e-01 -1.269619e-01
## [33,] 5.894620e-02 2.149381e-01 -2.441386e-01
## [34,] 8.287519e-02 -2.550013e-02 -9.318704e-02
## [35,] 3.626884e-02 -5.820260e-01 3.948416e-01
## [36,] 4.775611e-02 -1.292871e-01 1.682733e-02
## [37,] 1.574708e-09 1.103694e-09 2.225502e-09
## [38,] -1.647191e-09 -9.229867e-10 -2.288534e-09
## [39,] -9.080110e-12 3.129023e-11 3.056865e-11
## [40,] -1.293840e-01 -2.916232e-02 3.389018e-01
## [41,] 5.010188e-02 1.129264e-02 -1.312344e-01
## [42,] 3.654268e-02 8.236487e-03 -9.571806e-02
## [43,] 3.304225e-02 7.447512e-03 -8.654921e-02
## [44,] 5.376933e-02 1.211926e-02 -1.408407e-01
## [45,] 4.608890e-02 1.038814e-02 -1.207229e-01
## [46,] -1.537467e-10 8.166392e-10 2.421533e-10
## [47,] 2.874342e-11 -1.224783e-08 1.513391e-09
## [48,] -1.041632e-10 -1.906980e-09 1.454510e-09
## [49,] -5.761450e-11 3.200375e-09 -4.380261e-10
## [50,] 2.745712e-01 2.290199e-01 2.672065e-01
## [51,] -9.619638e-03 1.426456e-01 8.568603e-02
## [52,] -8.194333e-11 9.760650e-09 -9.948429e-10
## [53,] -3.520606e-01 -2.936538e-01 -3.426174e-01
## [54,] 9.550270e-11 -7.050760e-10 -1.005734e-10
## [55,] -2.898911e-01 -2.417982e-01 -2.821154e-01
## [56,] -1.311072e-10 4.141366e-10 4.546660e-11
## [57,] -9.619639e-03 1.426456e-01 8.568603e-02
## [58,] 7.914119e-11 -3.690437e-10 6.890776e-12
## [59,] 2.063733e-10 -4.045356e-10 -7.359811e-13
## [60,] -3.836782e-10 1.150981e-09 -7.828796e-11
## [61,] -2.938498e-07 4.359083e-08 1.257138e-07
## [62,] -3.040380e-07 4.515895e-08 1.301171e-07
## [63,] 2.011974e-10 -7.181093e-10 5.291881e-11
## [64,] -3.636415e-07 5.315288e-08 1.556038e-07
## [65,] -3.759348e-07 5.553980e-08 1.609697e-07
## [66,] 1.136564e-06 -1.679090e-07 -4.863436e-07
## [67,] -2.868777e-11 1.314928e-10 -3.544019e-12
## [68,] -4.182652e-11 1.253071e-10 7.559162e-12
## [69,] 1.090237e-10 -3.221717e-10 -2.003203e-11
## [70,] -5.667640e-11 -4.663446e-11 5.451100e-13
## [71,] 6.460426e-11 8.761804e-11 2.607771e-13
## [72,] -2.164275e-11 1.112752e-10 2.517141e-11
## [73,] 5.480132e-11 -7.408359e-11 5.188861e-11
## [74,] -2.315686e-11 -7.273490e-11 -7.610388e-11
## [75,] -3.549292e-11 7.912078e-11 2.651263e-11
## [76,] 5.732060e-11 -1.253340e-10 6.164682e-11
## [77,] 1.020338e-11 -2.848359e-11 4.916554e-11
## [78,] -9.696864e-11 1.816228e-10 -4.722980e-11
## [79,] -4.351383e-11 4.378171e-11 1.702602e-11
## [80,] 4.660491e-11 -3.429073e-11 -4.304632e-12
## [81,] -2.056739e-11 2.489149e-11 2.710703e-11
## [82,] -1.197514e-11 9.938059e-11 1.369924e-11
## [83,] 2.353532e-11 -8.540975e-11 -6.875264e-11## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done## Warning in fa.stats(r = r, f = f, phi = phi, n.obs = n.obs, np.obs = np.obs, :
## The estimated weights for the factor scores are probably incorrect. Try a
## different factor score estimation method.## In factor.scores, the correlation matrix is singular, an approximation is used## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Warning in cor.smooth(r): The estimated weights for the factor scores are
## probably incorrect. Try a different factor score estimation method.## In factor.scores, the correlation matrix is singular, an approximation is used## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Parallel analysis suggests that the number of factors = 18 and the number of components = 16## [1] 363 83## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Warning in cor.smooth(r): The estimated weights for the factor scores are
## probably incorrect. Try a different factor score estimation method.## In factor.scores, the correlation matrix is singular, an approximation is used## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done## Factor Analysis using method = pa
## Call: fa(r = full_data, nfactors = 7, n.obs = 336, rotate = "none",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA2 PA3 PA4 PA5 PA6 PA7
## id 0.09 0.09 -0.01 -0.02 0.12 0.17 -0.07
## axcpt_proactive_control -0.08 -0.29 -0.12 0.03 0.19 0.21 -0.12
## axcpt_ax_mean_rt 0.45 0.58 0.30 -0.16 -0.19 -0.06 0.11
## axcpt_ay_mean_rt 0.51 0.49 0.20 -0.13 -0.02 -0.13 0.09
## axcpt_bx_mean_rt 0.37 0.56 0.23 -0.10 -0.20 -0.28 0.17
## axcpt_by_mean_rt 0.43 0.44 0.21 -0.28 -0.10 -0.34 0.12
## axcpt_ax_accuracy -0.15 0.29 0.26 0.25 -0.12 0.31 0.13
## axcpt_ay_accuracy -0.06 0.46 0.30 0.21 -0.23 0.30 0.18
## axcpt_bx_accuracy -0.18 0.25 0.20 0.33 -0.13 0.47 0.24
## axcpt_by_accuracy -0.09 0.29 0.20 0.32 -0.10 0.40 0.22
## axcpt_mean_rt 0.51 0.62 0.28 -0.20 -0.16 -0.27 0.15
## axcpt_mean_accuracy -0.16 0.43 0.32 0.38 -0.23 0.54 0.29
## antisaccade_error_rate 0.55 -0.04 -0.16 -0.18 0.01 -0.02 0.01
## antisaccade_mean_rt 0.57 -0.01 -0.07 0.19 0.10 0.09 -0.18
## antisaccade_rt_sd 0.51 -0.12 -0.06 0.29 0.07 0.04 -0.18
## flanker_error_rate_congruent 0.31 -0.21 0.10 0.18 0.10 0.30 0.02
## flanker_mean_rt_congruent 0.58 0.23 -0.04 -0.25 0.18 0.10 0.04
## flanker_error_rate_incongruent 0.28 -0.35 -0.02 0.11 0.11 0.27 0.08
## flanker_mean_rt_incongruent 0.61 0.17 -0.07 -0.31 0.22 0.12 0.01
## flanker_rt_switchcost -0.34 0.01 0.08 0.22 -0.15 -0.08 0.03
## flanker_mean_rt 0.61 0.21 -0.06 -0.29 0.21 0.11 0.03
## flanker_mean_error_rate 0.32 -0.35 0.01 0.14 0.12 0.31 0.07
## stroop_mean_rt_congruent 0.11 0.08 -0.06 0.04 0.06 -0.07 0.03
## stroop_mean_rt_incongruent -0.01 0.13 0.00 -0.01 -0.07 0.07 -0.18
## stroop_error_rate_congruent 0.14 -0.31 0.17 0.13 -0.19 0.04 0.46
## stroop_error_rate_incongruent 0.30 -0.39 0.16 0.10 -0.14 0.01 0.41
## stroop_mean_rt_switchcost 0.01 -0.13 0.00 0.01 0.07 -0.07 0.18
## stroop_mean_rt -0.01 0.14 0.00 -0.01 -0.07 0.07 -0.17
## stroop_mean_error_rate 0.24 -0.38 0.18 0.13 -0.18 0.03 0.46
## catswitch_accuracy_switch -0.31 0.40 0.20 0.17 0.13 0.11 -0.31
## catswitch_accuracy_nonswitch -0.35 0.45 0.19 0.23 0.21 0.08 -0.33
## catswitch_mean_rt_switch 0.39 0.32 -0.03 0.43 0.55 -0.14 -0.03
## catswitch_mean_rt_nonswitch 0.45 0.29 -0.07 0.32 0.36 -0.01 -0.03
## catswitch_rt_switchcost 0.15 0.17 0.03 0.30 0.40 -0.18 -0.01
## catswitch_mean_rt 0.44 0.33 -0.05 0.42 0.51 -0.10 -0.03
## catswitch_accuracy -0.36 0.46 0.21 0.22 0.18 0.10 -0.35
## updating_accuracy -0.40 0.14 0.10 0.11 -0.18 -0.05 0.16
## updating_num_correct -0.40 0.14 0.10 0.11 -0.18 -0.05 0.16
## updating_mean_rt 0.23 0.15 -0.23 -0.01 0.17 -0.03 0.19
## supps_total -0.04 -0.24 0.68 -0.04 0.45 -0.15 0.20
## supps_neg_urgency 0.00 -0.11 0.42 -0.06 0.48 -0.15 0.06
## supps_lack_premed -0.06 -0.23 0.49 -0.22 0.30 0.14 0.00
## supps_lack_pers -0.02 -0.14 0.33 -0.33 0.09 0.22 -0.03
## supps_sen_seek 0.01 -0.13 0.11 0.33 -0.02 -0.29 0.18
## supps_pos_urgency -0.04 -0.09 0.53 0.01 0.35 -0.16 0.26
## tova_accuracy -0.61 0.41 -0.18 -0.21 -0.03 -0.08 0.20
## tova_mean_rt 0.62 0.18 0.35 0.02 -0.37 -0.09 -0.21
## tova_rt_variability 0.71 -0.26 0.30 0.16 -0.30 -0.09 -0.30
## tova_mean_rt_infrequent 0.52 0.15 0.26 0.01 -0.27 -0.15 -0.12
## tova_rt_variability_infrequent 0.59 -0.18 0.21 0.17 -0.20 -0.12 -0.16
## tova_accuracy_infrequent -0.59 0.30 -0.14 -0.28 -0.02 -0.14 0.19
## tova_mean_rt_frequent 0.61 0.17 0.36 0.02 -0.37 -0.07 -0.21
## tova_rt_variability_frequent 0.68 -0.26 0.30 0.15 -0.30 -0.06 -0.31
## tova_accuracy_frequent -0.45 0.27 -0.33 -0.09 0.16 -0.01 0.30
## tova_rt_variability_switchcost -0.27 0.13 -0.14 -0.01 0.15 -0.05 0.18
## tova_false_alarm_frequent 0.39 -0.43 -0.05 0.07 0.19 0.00 -0.09
## tova_misses_infrequent 0.59 -0.30 0.14 0.28 0.02 0.14 -0.19
## dm_accuracy_dog -0.07 0.30 -0.11 0.05 0.05 0.20 0.02
## dm_accuracy_monkey -0.01 0.24 -0.07 -0.05 0.08 0.05 -0.18
## dm_accuracy -0.10 0.48 -0.09 -0.03 0.10 0.16 -0.17
## dm_mean_rt_dogs 0.36 0.05 -0.13 -0.09 0.02 0.26 0.07
## dm_mean_rt_monkey 0.55 0.05 -0.24 -0.18 0.05 0.29 0.06
## dm_mix_accuracy -0.12 0.44 -0.04 -0.02 0.06 0.13 -0.14
## dm_mean_rt_mix_dog 0.75 0.09 -0.24 -0.12 0.05 0.21 0.17
## dm_mean_rt_mix_monkey 0.73 0.08 -0.22 -0.05 0.07 0.22 0.16
## dm_mean_rt 0.75 0.08 -0.26 -0.13 0.06 0.31 0.15
## cancellation_dog_score -0.59 -0.23 0.16 0.05 -0.12 0.03 -0.09
## cancellation_monkey_score -0.52 -0.22 0.13 0.17 -0.09 0.05 -0.09
## cancellation_mix_score -0.64 -0.07 0.08 0.08 -0.13 0.15 -0.12
## forward_span_partial_score -0.52 0.09 0.16 0.14 0.12 -0.06 -0.11
## forward_span_longest_forward_seq -0.50 0.08 0.23 0.07 0.10 -0.12 -0.14
## bisbas_bis 0.01 -0.03 -0.09 0.07 -0.13 -0.05 0.07
## bisbas_drive -0.23 0.02 0.04 -0.32 -0.10 0.25 -0.23
## bisbas_fun_seek -0.06 0.03 -0.08 -0.39 -0.15 0.25 -0.21
## bisbas_reward_response -0.12 -0.05 0.09 -0.31 -0.10 0.22 -0.18
## mini_markers_extra 0.14 0.01 -0.16 0.32 -0.09 -0.31 0.13
## mini_markers_agree 0.07 0.05 -0.39 0.23 -0.10 -0.18 0.04
## mini_markers_conscientiousness 0.13 0.19 -0.53 0.28 -0.23 -0.07 -0.05
## mini_markers_neuroticism -0.05 -0.12 0.36 -0.19 0.28 0.02 0.00
## mini_markers_open 0.07 0.04 -0.23 0.37 0.01 -0.09 0.09
## swan_inattentive -0.05 -0.04 0.39 -0.32 0.19 0.11 -0.01
## swan_hyperactive -0.04 -0.08 0.36 -0.20 0.14 0.08 0.09
## swan_combined -0.11 0.02 0.17 -0.08 0.10 0.04 0.08
## h2 u2 com
## id 0.063 0.94 3.6
## axcpt_proactive_control 0.202 0.80 3.7
## axcpt_ax_mean_rt 0.707 0.29 3.1
## axcpt_ay_mean_rt 0.586 0.41 2.7
## axcpt_bx_mean_rt 0.665 0.34 3.4
## axcpt_by_mean_rt 0.637 0.36 4.4
## axcpt_ax_accuracy 0.367 0.63 5.1
## axcpt_ay_accuracy 0.532 0.47 4.1
## axcpt_bx_accuracy 0.532 0.47 4.1
## axcpt_by_accuracy 0.444 0.56 4.4
## axcpt_mean_rt 0.885 0.12 3.4
## axcpt_mean_accuracy 0.895 0.10 4.8
## antisaccade_error_rate 0.357 0.64 1.4
## antisaccade_mean_rt 0.422 0.58 1.6
## antisaccade_rt_sd 0.404 0.60 2.1
## flanker_error_rate_congruent 0.278 0.72 3.8
## flanker_mean_rt_congruent 0.491 0.51 2.0
## flanker_error_rate_incongruent 0.307 0.69 3.5
## flanker_mean_rt_incongruent 0.563 0.44 2.1
## flanker_rt_switchcost 0.198 0.80 2.4
## flanker_mean_rt 0.565 0.43 2.1
## flanker_mean_error_rate 0.360 0.64 3.7
## stroop_mean_rt_congruent 0.032 0.97 4.6
## stroop_mean_rt_incongruent 0.058 0.94 2.6
## stroop_error_rate_congruent 0.410 0.59 3.0
## stroop_error_rate_incongruent 0.475 0.52 3.6
## stroop_mean_rt_switchcost 0.058 0.94 2.6
## stroop_mean_rt 0.058 0.94 2.6
## stroop_mean_error_rate 0.488 0.51 3.4
## catswitch_accuracy_switch 0.451 0.55 4.3
## catswitch_accuracy_nonswitch 0.578 0.42 4.4
## catswitch_mean_rt_switch 0.768 0.23 3.7
## catswitch_mean_rt_nonswitch 0.526 0.47 3.7
## catswitch_rt_switchcost 0.336 0.66 3.1
## catswitch_mean_rt 0.762 0.24 3.8
## catswitch_accuracy 0.606 0.39 4.4
## updating_accuracy 0.261 0.74 2.5
## updating_num_correct 0.265 0.73 2.5
## updating_mean_rt 0.196 0.80 4.6
## supps_total 0.790 0.21 2.4
## supps_neg_urgency 0.447 0.55 2.4
## supps_lack_premed 0.457 0.54 2.9
## supps_lack_pers 0.291 0.71 3.3
## supps_sen_seek 0.252 0.75 3.2
## supps_pos_urgency 0.508 0.49 2.6
## tova_accuracy 0.668 0.33 2.6
## tova_mean_rt 0.725 0.27 2.8
## tova_rt_variability 0.870 0.13 2.7
## tova_mean_rt_infrequent 0.472 0.53 2.6
## tova_rt_variability_infrequent 0.524 0.48 2.2
## tova_accuracy_infrequent 0.596 0.40 2.5
## tova_mean_rt_frequent 0.723 0.28 2.9
## tova_rt_variability_frequent 0.836 0.16 2.8
## tova_accuracy_frequent 0.501 0.50 3.8
## tova_rt_variability_switchcost 0.169 0.83 3.6
## tova_false_alarm_frequent 0.386 0.61 2.6
## tova_misses_infrequent 0.596 0.40 2.5
## dm_accuracy_dog 0.152 0.85 2.4
## dm_accuracy_monkey 0.108 0.89 2.5
## dm_accuracy 0.316 0.68 1.8
## dm_mean_rt_dogs 0.234 0.77 2.4
## dm_mean_rt_monkey 0.483 0.52 2.3
## dm_mix_accuracy 0.249 0.75 1.6
## dm_mean_rt_mix_dog 0.713 0.29 1.6
## dm_mean_rt_mix_monkey 0.673 0.33 1.5
## dm_mean_rt 0.770 0.23 1.8
## cancellation_dog_score 0.452 0.55 1.6
## cancellation_monkey_score 0.389 0.61 1.9
## cancellation_mix_score 0.484 0.52 1.4
## forward_span_partial_score 0.351 0.65 1.7
## forward_span_longest_forward_seq 0.354 0.65 2.0
## bisbas_bis 0.041 0.96 3.7
## bisbas_drive 0.279 0.72 4.0
## bisbas_fun_seek 0.288 0.71 2.9
## bisbas_reward_response 0.215 0.78 3.6
## mini_markers_extra 0.269 0.73 3.4
## mini_markers_agree 0.253 0.75 2.5
## mini_markers_conscientiousness 0.474 0.53 2.4
## mini_markers_neuroticism 0.259 0.74 2.8
## mini_markers_open 0.219 0.78 2.1
## swan_inattentive 0.304 0.70 2.7
## swan_hyperactive 0.209 0.79 2.4
## swan_combined 0.066 0.93 3.6
##
## PA1 PA2 PA3 PA4 PA5 PA6 PA7
## SS loadings 12.66 5.86 4.42 3.50 3.34 2.79 2.64
## Proportion Var 0.15 0.07 0.05 0.04 0.04 0.03 0.03
## Cumulative Var 0.15 0.22 0.28 0.32 0.36 0.39 0.42
## Proportion Explained 0.36 0.17 0.13 0.10 0.09 0.08 0.08
## Cumulative Proportion 0.36 0.53 0.65 0.75 0.85 0.92 1.00
##
## Mean item complexity = 2.9
## Test of the hypothesis that 7 factors are sufficient.
##
## The degrees of freedom for the null model are 3403 and the objective function was 382.97 with Chi Square of 127721.3
## The degrees of freedom for the model are 2843 and the objective function was 346.23
##
## The root mean square of the residuals (RMSR) is 0.07
## The df corrected root mean square of the residuals is 0.08
##
## The harmonic number of observations is 279 with the empirical chi square 10161.05 with prob < 0
## The total number of observations was 363 with Likelihood Chi Square = 113852.6 with prob < 0
##
## Tucker Lewis Index of factoring reliability = -0.084
## RMSEA index = 0.328 and the 90 % confidence intervals are 0.327 0.33
## BIC = 97094.8
## Fit based upon off diagonal values = 0.87
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Warning in cor.smooth(r): The estimated weights for the factor scores are
## probably incorrect. Try a different factor score estimation method.## In factor.scores, the correlation matrix is singular, an approximation is used## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done## Factor Analysis using method = pa
## Call: fa(r = full_data, nfactors = 7, n.obs = 336, rotate = "varimax",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA5 PA2 PA7 PA3 PA4 PA6
## id 0.17 0.03 -0.06 0.15 0.06 0.02 0.07
## axcpt_proactive_control 0.04 0.03 -0.44 0.01 0.06 -0.04 -0.07
## axcpt_ax_mean_rt 0.31 0.13 0.72 0.13 0.07 0.02 0.23
## axcpt_ay_mean_rt 0.38 0.12 0.61 0.12 0.07 0.17 0.08
## axcpt_bx_mean_rt 0.18 0.04 0.77 0.05 -0.02 0.13 0.12
## axcpt_by_mean_rt 0.27 0.04 0.73 0.03 0.09 0.08 -0.09
## axcpt_ax_accuracy -0.13 -0.01 0.07 0.10 0.06 0.01 0.58
## axcpt_ay_accuracy -0.06 -0.01 0.27 0.13 0.01 -0.02 0.66
## axcpt_bx_accuracy -0.09 -0.06 -0.06 0.02 0.01 0.00 0.72
## axcpt_by_accuracy -0.03 -0.03 0.01 0.05 0.01 0.06 0.66
## axcpt_mean_rt 0.32 0.09 0.86 0.09 0.06 0.12 0.09
## axcpt_mean_accuracy -0.09 -0.04 0.09 0.08 0.01 0.00 0.93
## antisaccade_error_rate 0.50 0.20 0.12 -0.10 -0.08 0.01 -0.20
## antisaccade_mean_rt 0.40 0.43 -0.04 0.08 -0.11 0.24 -0.02
## antisaccade_rt_sd 0.28 0.48 -0.10 0.00 -0.14 0.26 -0.03
## flanker_error_rate_congruent 0.25 0.32 -0.23 -0.12 0.10 0.08 0.18
## flanker_mean_rt_congruent 0.63 0.10 0.23 0.09 0.10 0.08 -0.04
## flanker_error_rate_incongruent 0.27 0.25 -0.33 -0.24 0.06 0.04 0.07
## flanker_mean_rt_incongruent 0.69 0.11 0.18 0.08 0.13 0.05 -0.11
## flanker_rt_switchcost -0.41 -0.08 -0.02 -0.02 -0.08 0.02 0.14
## flanker_mean_rt 0.69 0.11 0.21 0.09 0.12 0.07 -0.08
## flanker_mean_error_rate 0.29 0.29 -0.34 -0.23 0.08 0.06 0.11
## stroop_mean_rt_congruent 0.09 0.00 0.06 0.01 -0.05 0.13 -0.03
## stroop_mean_rt_incongruent -0.01 0.06 0.04 0.21 -0.05 -0.07 0.04
## stroop_error_rate_congruent 0.00 0.11 0.00 -0.59 0.03 -0.01 0.21
## stroop_error_rate_incongruent 0.11 0.23 0.00 -0.63 0.05 0.02 0.11
## stroop_mean_rt_switchcost 0.01 -0.06 -0.04 -0.21 0.05 0.07 -0.04
## stroop_mean_rt -0.01 0.06 0.04 0.21 -0.05 -0.07 0.04
## stroop_mean_error_rate 0.06 0.19 0.00 -0.65 0.04 0.01 0.17
## catswitch_accuracy_switch -0.27 -0.06 0.02 0.54 0.12 0.12 0.23
## catswitch_accuracy_nonswitch -0.31 -0.09 0.00 0.60 0.13 0.21 0.23
## catswitch_mean_rt_switch 0.28 0.11 0.04 0.22 0.02 0.79 0.04
## catswitch_mean_rt_nonswitch 0.37 0.15 0.06 0.19 -0.05 0.56 0.08
## catswitch_rt_switchcost 0.06 0.02 0.01 0.12 0.07 0.56 -0.02
## catswitch_mean_rt 0.33 0.13 0.04 0.23 -0.01 0.76 0.06
## catswitch_accuracy -0.31 -0.08 0.01 0.62 0.13 0.17 0.25
## updating_accuracy -0.38 -0.23 0.10 -0.04 -0.05 -0.05 0.22
## updating_num_correct -0.38 -0.23 0.10 -0.04 -0.05 -0.05 0.22
## updating_mean_rt 0.34 -0.15 0.06 -0.05 -0.10 0.21 -0.02
## supps_total -0.18 0.07 0.03 -0.27 0.78 0.28 -0.03
## supps_neg_urgency -0.05 0.01 0.00 -0.07 0.59 0.29 -0.12
## supps_lack_premed -0.04 0.08 -0.11 -0.06 0.65 -0.07 0.00
## supps_lack_pers 0.06 0.06 -0.04 0.00 0.46 -0.27 0.02
## supps_sen_seek -0.23 0.10 0.07 -0.29 -0.06 0.31 0.00
## supps_pos_urgency -0.15 -0.02 0.10 -0.23 0.58 0.29 0.05
## tova_accuracy -0.26 -0.72 0.15 0.18 -0.07 -0.14 0.08
## tova_mean_rt 0.19 0.63 0.53 0.05 -0.03 -0.04 0.07
## tova_rt_variability 0.16 0.88 0.20 -0.14 -0.04 0.01 -0.10
## tova_mean_rt_infrequent 0.16 0.48 0.46 -0.01 -0.04 0.01 0.01
## tova_rt_variability_infrequent 0.15 0.65 0.18 -0.16 -0.05 0.10 -0.07
## tova_accuracy_infrequent -0.27 -0.68 0.15 0.12 -0.01 -0.17 -0.03
## tova_mean_rt_frequent 0.18 0.64 0.52 0.06 -0.02 -0.05 0.08
## tova_rt_variability_frequent 0.15 0.87 0.19 -0.13 -0.03 -0.02 -0.08
## tova_accuracy_frequent -0.06 -0.69 -0.05 0.06 -0.11 0.05 0.07
## tova_rt_variability_switchcost -0.08 -0.39 -0.04 0.01 -0.01 0.10 0.02
## tova_false_alarm_frequent 0.25 0.35 -0.26 -0.21 0.06 0.15 -0.25
## tova_misses_infrequent 0.27 0.68 -0.15 -0.12 0.01 0.17 0.03
## dm_accuracy_dog 0.11 -0.18 -0.01 0.23 -0.08 0.03 0.22
## dm_accuracy_monkey 0.07 -0.06 0.04 0.31 -0.03 0.02 -0.01
## dm_accuracy 0.09 -0.19 0.09 0.48 -0.05 0.03 0.17
## dm_mean_rt_dogs 0.46 0.09 -0.02 -0.01 -0.04 -0.05 0.10
## dm_mean_rt_monkey 0.67 0.13 -0.01 -0.01 -0.09 -0.07 0.02
## dm_mix_accuracy 0.03 -0.17 0.11 0.42 -0.03 0.02 0.17
## dm_mean_rt_mix_dog 0.79 0.18 0.11 -0.12 -0.14 0.07 0.03
## dm_mean_rt_mix_monkey 0.76 0.21 0.07 -0.11 -0.14 0.11 0.06
## dm_mean_rt 0.84 0.19 0.04 -0.08 -0.13 0.02 0.08
## cancellation_dog_score -0.57 -0.11 -0.23 -0.01 0.11 -0.22 0.05
## cancellation_monkey_score -0.53 -0.05 -0.27 -0.01 0.05 -0.13 0.10
## cancellation_mix_score -0.53 -0.19 -0.25 0.13 0.03 -0.25 0.17
## forward_span_partial_score -0.47 -0.20 -0.11 0.21 0.14 0.08 0.08
## forward_span_longest_forward_seq -0.49 -0.16 -0.03 0.20 0.20 0.04 0.02
## bisbas_bis -0.04 0.00 0.02 -0.11 -0.17 -0.01 0.01
## bisbas_drive -0.04 -0.07 -0.09 0.25 0.13 -0.43 0.00
## bisbas_fun_seek 0.13 -0.04 -0.03 0.22 0.03 -0.47 -0.06
## bisbas_reward_response 0.00 0.01 -0.06 0.15 0.16 -0.40 -0.01
## mini_markers_extra -0.07 0.06 0.12 -0.19 -0.33 0.32 -0.05
## mini_markers_agree 0.02 -0.06 0.00 -0.04 -0.45 0.18 -0.09
## mini_markers_conscientiousness 0.11 -0.02 0.00 0.09 -0.66 0.12 0.00
## mini_markers_neuroticism -0.03 0.01 -0.03 -0.02 0.50 0.01 -0.06
## mini_markers_open 0.00 0.00 -0.07 -0.07 -0.32 0.32 0.07
## swan_inattentive 0.02 -0.01 0.04 0.04 0.53 -0.15 -0.01
## swan_hyperactive -0.01 -0.01 0.04 -0.08 0.44 -0.08 0.05
## swan_combined -0.05 -0.09 0.02 -0.01 0.22 -0.01 0.07
## h2 u2 com
## id 0.063 0.94 3.0
## axcpt_proactive_control 0.202 0.80 1.1
## axcpt_ax_mean_rt 0.707 0.29 1.8
## axcpt_ay_mean_rt 0.586 0.41 2.1
## axcpt_bx_mean_rt 0.665 0.34 1.2
## axcpt_by_mean_rt 0.637 0.36 1.4
## axcpt_ax_accuracy 0.367 0.63 1.2
## axcpt_ay_accuracy 0.532 0.47 1.4
## axcpt_bx_accuracy 0.532 0.47 1.1
## axcpt_by_accuracy 0.444 0.56 1.0
## axcpt_mean_rt 0.885 0.12 1.4
## axcpt_mean_accuracy 0.895 0.10 1.1
## antisaccade_error_rate 0.357 0.64 2.0
## antisaccade_mean_rt 0.422 0.58 2.8
## antisaccade_rt_sd 0.404 0.60 2.6
## flanker_error_rate_congruent 0.278 0.72 4.3
## flanker_mean_rt_congruent 0.491 0.51 1.5
## flanker_error_rate_incongruent 0.307 0.69 4.0
## flanker_mean_rt_incongruent 0.563 0.44 1.4
## flanker_rt_switchcost 0.198 0.80 1.4
## flanker_mean_rt 0.565 0.43 1.4
## flanker_mean_error_rate 0.360 0.64 4.3
## stroop_mean_rt_congruent 0.032 0.97 2.7
## stroop_mean_rt_incongruent 0.058 0.94 1.7
## stroop_error_rate_congruent 0.410 0.59 1.3
## stroop_error_rate_incongruent 0.475 0.52 1.4
## stroop_mean_rt_switchcost 0.058 0.94 1.7
## stroop_mean_rt 0.058 0.94 1.7
## stroop_mean_error_rate 0.488 0.51 1.3
## catswitch_accuracy_switch 0.451 0.55 2.2
## catswitch_accuracy_nonswitch 0.578 0.42 2.3
## catswitch_mean_rt_switch 0.768 0.23 1.5
## catswitch_mean_rt_nonswitch 0.526 0.47 2.3
## catswitch_rt_switchcost 0.336 0.66 1.2
## catswitch_mean_rt 0.762 0.24 1.7
## catswitch_accuracy 0.606 0.39 2.2
## updating_accuracy 0.261 0.74 2.7
## updating_num_correct 0.265 0.73 2.7
## updating_mean_rt 0.196 0.80 2.5
## supps_total 0.790 0.21 1.7
## supps_neg_urgency 0.447 0.55 1.6
## supps_lack_premed 0.457 0.54 1.1
## supps_lack_pers 0.291 0.71 1.7
## supps_sen_seek 0.252 0.75 3.3
## supps_pos_urgency 0.508 0.49 2.1
## tova_accuracy 0.668 0.33 1.6
## tova_mean_rt 0.725 0.27 2.2
## tova_rt_variability 0.870 0.13 1.3
## tova_mean_rt_infrequent 0.472 0.53 2.3
## tova_rt_variability_infrequent 0.524 0.48 1.5
## tova_accuracy_infrequent 0.596 0.40 1.7
## tova_mean_rt_frequent 0.723 0.28 2.2
## tova_rt_variability_frequent 0.836 0.16 1.2
## tova_accuracy_frequent 0.501 0.50 1.1
## tova_rt_variability_switchcost 0.169 0.83 1.2
## tova_false_alarm_frequent 0.386 0.61 4.9
## tova_misses_infrequent 0.596 0.40 1.7
## dm_accuracy_dog 0.152 0.85 3.6
## dm_accuracy_monkey 0.108 0.89 1.2
## dm_accuracy 0.316 0.68 1.8
## dm_mean_rt_dogs 0.234 0.77 1.2
## dm_mean_rt_monkey 0.483 0.52 1.1
## dm_mix_accuracy 0.249 0.75 1.9
## dm_mean_rt_mix_dog 0.713 0.29 1.3
## dm_mean_rt_mix_monkey 0.673 0.33 1.4
## dm_mean_rt 0.770 0.23 1.2
## cancellation_dog_score 0.452 0.55 1.9
## cancellation_monkey_score 0.389 0.61 1.8
## cancellation_mix_score 0.484 0.52 2.7
## forward_span_partial_score 0.351 0.65 2.3
## forward_span_longest_forward_seq 0.354 0.65 2.0
## bisbas_bis 0.041 0.96 1.9
## bisbas_drive 0.279 0.72 2.0
## bisbas_fun_seek 0.288 0.71 1.7
## bisbas_reward_response 0.215 0.78 1.7
## mini_markers_extra 0.269 0.73 3.1
## mini_markers_agree 0.253 0.75 1.5
## mini_markers_conscientiousness 0.474 0.53 1.2
## mini_markers_neuroticism 0.259 0.74 1.1
## mini_markers_open 0.219 0.78 2.3
## swan_inattentive 0.304 0.70 1.2
## swan_hyperactive 0.209 0.79 1.2
## swan_combined 0.066 0.93 1.7
##
## PA1 PA5 PA2 PA7 PA3 PA4 PA6
## SS loadings 8.31 6.67 4.83 4.05 4.03 3.79 3.54
## Proportion Var 0.10 0.08 0.06 0.05 0.05 0.05 0.04
## Cumulative Var 0.10 0.18 0.24 0.29 0.34 0.38 0.42
## Proportion Explained 0.24 0.19 0.14 0.11 0.11 0.11 0.10
## Cumulative Proportion 0.24 0.43 0.56 0.68 0.79 0.90 1.00
##
## Mean item complexity = 1.9
## Test of the hypothesis that 7 factors are sufficient.
##
## The degrees of freedom for the null model are 3403 and the objective function was 382.97 with Chi Square of 127721.3
## The degrees of freedom for the model are 2843 and the objective function was 346.23
##
## The root mean square of the residuals (RMSR) is 0.07
## The df corrected root mean square of the residuals is 0.08
##
## The harmonic number of observations is 279 with the empirical chi square 10161.05 with prob < 0
## The total number of observations was 363 with Likelihood Chi Square = 113852.6 with prob < 0
##
## Tucker Lewis Index of factoring reliability = -0.084
## RMSEA index = 0.328 and the 90 % confidence intervals are 0.327 0.33
## BIC = 97094.8
## Fit based upon off diagonal values = 0.87
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was done## In smc, smcs < 0 were set to .0## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
## Warning in cor.smooth(r): The estimated weights for the factor scores are
## probably incorrect. Try a different factor score estimation method.## In factor.scores, the correlation matrix is singular, an approximation is used## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done## Factor Analysis using method = pa
## Call: fa(r = full_data, nfactors = 7, n.obs = 336, rotate = "oblimin",
## fm = "pa")
## Standardized loadings (pattern matrix) based upon correlation matrix
## PA1 PA5 PA2 PA3 PA4 PA7 PA6
## id 0.20 0.01 -0.07 0.04 0.04 0.15 0.07
## axcpt_proactive_control 0.13 0.01 -0.45 0.07 -0.01 0.07 -0.05
## axcpt_ax_mean_rt 0.19 0.12 0.71 0.04 -0.02 0.06 0.21
## axcpt_ay_mean_rt 0.24 0.08 0.61 0.06 0.14 0.05 0.05
## axcpt_bx_mean_rt 0.01 0.04 0.78 -0.03 0.09 -0.05 0.08
## axcpt_by_mean_rt 0.11 0.02 0.76 0.08 0.02 -0.02 -0.13
## axcpt_ax_accuracy -0.06 0.01 0.03 0.03 0.01 0.04 0.58
## axcpt_ay_accuracy -0.03 0.01 0.23 -0.02 -0.03 0.04 0.66
## axcpt_bx_accuracy 0.02 -0.07 -0.10 -0.01 0.00 -0.05 0.73
## axcpt_by_accuracy 0.04 -0.04 -0.02 0.00 0.06 -0.03 0.67
## axcpt_mean_rt 0.14 0.06 0.87 0.04 0.07 0.00 0.05
## axcpt_mean_accuracy 0.02 -0.04 0.04 -0.01 -0.01 -0.02 0.94
## antisaccade_error_rate 0.42 0.13 0.11 -0.06 0.01 -0.09 -0.20
## antisaccade_mean_rt 0.29 0.38 -0.10 -0.09 0.27 0.08 -0.02
## antisaccade_rt_sd 0.15 0.44 -0.17 -0.11 0.29 0.01 -0.03
## flanker_error_rate_congruent 0.26 0.26 -0.29 0.12 0.09 -0.08 0.20
## flanker_mean_rt_congruent 0.59 0.00 0.24 0.10 0.08 0.08 -0.06
## flanker_error_rate_incongruent 0.30 0.17 -0.37 0.10 0.05 -0.19 0.10
## flanker_mean_rt_incongruent 0.66 0.00 0.19 0.12 0.05 0.10 -0.12
## flanker_rt_switchcost -0.41 -0.01 -0.02 -0.08 0.01 -0.05 0.14
## flanker_mean_rt 0.65 0.00 0.22 0.12 0.07 0.09 -0.10
## flanker_mean_error_rate 0.32 0.21 -0.38 0.12 0.06 -0.18 0.14
## stroop_mean_rt_congruent 0.04 -0.03 0.07 -0.04 0.14 -0.02 -0.04
## stroop_mean_rt_incongruent 0.00 0.10 0.02 -0.09 -0.05 0.21 0.04
## stroop_error_rate_congruent -0.01 0.05 -0.01 0.10 -0.06 -0.60 0.23
## stroop_error_rate_incongruent 0.06 0.15 -0.02 0.14 -0.03 -0.61 0.12
## stroop_mean_rt_switchcost 0.00 -0.10 -0.02 0.09 0.06 -0.21 -0.04
## stroop_mean_rt 0.00 0.10 0.02 -0.09 -0.05 0.21 0.04
## stroop_mean_error_rate 0.03 0.11 -0.02 0.13 -0.05 -0.64 0.18
## catswitch_accuracy_switch -0.23 0.03 0.00 0.05 0.14 0.52 0.23
## catswitch_accuracy_nonswitch -0.27 -0.01 -0.01 0.06 0.24 0.57 0.22
## catswitch_mean_rt_switch 0.11 0.01 0.04 0.06 0.83 0.14 0.00
## catswitch_mean_rt_nonswitch 0.23 0.07 0.04 -0.03 0.60 0.13 0.06
## catswitch_rt_switchcost -0.06 -0.03 0.03 0.10 0.57 0.08 -0.05
## catswitch_mean_rt 0.17 0.03 0.04 0.03 0.80 0.15 0.03
## catswitch_accuracy -0.27 0.02 -0.01 0.06 0.21 0.60 0.24
## updating_accuracy -0.34 -0.18 0.12 -0.05 -0.07 -0.09 0.22
## updating_num_correct -0.35 -0.18 0.12 -0.05 -0.07 -0.09 0.22
## updating_mean_rt 0.30 -0.24 0.09 -0.07 0.23 -0.11 -0.04
## supps_total -0.17 0.01 0.06 0.83 0.18 -0.17 -0.02
## supps_neg_urgency -0.06 -0.05 0.03 0.62 0.23 0.01 -0.13
## supps_lack_premed 0.07 0.05 -0.11 0.65 -0.14 0.06 0.02
## supps_lack_pers 0.19 0.05 -0.05 0.43 -0.32 0.10 0.04
## supps_sen_seek -0.36 0.09 0.06 0.00 0.29 -0.32 -0.01
## supps_pos_urgency -0.16 -0.08 0.14 0.63 0.20 -0.19 0.04
## tova_accuracy -0.14 -0.68 0.25 -0.11 -0.13 0.09 0.06
## tova_mean_rt 0.00 0.68 0.44 -0.06 -0.08 0.06 0.07
## tova_rt_variability -0.05 0.91 0.07 -0.02 -0.02 -0.06 -0.08
## tova_mean_rt_infrequent -0.01 0.50 0.40 -0.05 -0.02 0.00 0.00
## tova_rt_variability_infrequent -0.03 0.66 0.09 -0.03 0.07 -0.12 -0.06
## tova_accuracy_infrequent -0.16 -0.64 0.25 -0.04 -0.18 0.05 -0.05
## tova_mean_rt_frequent 0.00 0.69 0.42 -0.05 -0.09 0.07 0.08
## tova_rt_variability_frequent -0.04 0.91 0.06 -0.03 -0.04 -0.04 -0.06
## tova_accuracy_frequent 0.05 -0.73 0.05 -0.11 0.07 -0.04 0.04
## tova_rt_variability_switchcost -0.03 -0.41 0.02 0.00 0.11 -0.04 0.01
## tova_false_alarm_frequent 0.19 0.29 -0.30 0.11 0.15 -0.13 -0.23
## tova_misses_infrequent 0.16 0.64 -0.25 0.04 0.18 -0.05 0.05
## dm_accuracy_dog 0.16 -0.19 0.00 -0.11 0.06 0.17 0.21
## dm_accuracy_monkey 0.08 -0.04 0.04 -0.07 0.04 0.30 -0.02
## dm_accuracy 0.14 -0.17 0.09 -0.11 0.07 0.43 0.15
## dm_mean_rt_dogs 0.48 0.02 -0.04 -0.05 -0.04 -0.01 0.10
## dm_mean_rt_monkey 0.68 0.02 -0.03 -0.09 -0.04 -0.01 0.02
## dm_mix_accuracy 0.07 -0.15 0.12 -0.09 0.05 0.37 0.16
## dm_mean_rt_mix_dog 0.73 0.04 0.09 -0.12 0.09 -0.15 0.03
## dm_mean_rt_mix_monkey 0.70 0.07 0.05 -0.11 0.14 -0.14 0.06
## dm_mean_rt 0.81 0.04 0.02 -0.11 0.05 -0.11 0.07
## cancellation_dog_score -0.45 -0.01 -0.24 0.09 -0.24 0.04 0.07
## cancellation_monkey_score -0.44 0.03 -0.29 0.04 -0.13 0.03 0.12
## cancellation_mix_score -0.38 -0.08 -0.25 -0.01 -0.24 0.16 0.19
## forward_span_partial_score -0.41 -0.13 -0.09 0.12 0.08 0.21 0.08
## forward_span_longest_forward_seq -0.45 -0.08 -0.01 0.17 0.03 0.22 0.02
## bisbas_bis -0.07 0.01 0.02 -0.15 0.00 -0.13 0.01
## bisbas_drive 0.11 0.00 -0.10 0.06 -0.42 0.32 0.02
## bisbas_fun_seek 0.26 0.00 -0.04 -0.04 -0.45 0.28 -0.04
## bisbas_reward_response 0.13 0.06 -0.07 0.11 -0.41 0.23 0.01
## mini_markers_extra -0.23 0.05 0.12 -0.28 0.33 -0.27 -0.07
## mini_markers_agree -0.09 -0.06 0.01 -0.43 0.23 -0.13 -0.10
## mini_markers_conscientiousness 0.00 0.00 -0.01 -0.66 0.20 -0.03 -0.01
## mini_markers_neuroticism 0.03 -0.01 -0.01 0.50 -0.04 0.06 -0.06
## mini_markers_open -0.10 -0.02 -0.07 -0.28 0.35 -0.16 0.06
## swan_inattentive 0.12 -0.02 0.06 0.50 -0.21 0.13 0.00
## swan_hyperactive 0.06 -0.03 0.05 0.44 -0.14 -0.02 0.06
## swan_combined 0.00 -0.10 0.04 0.22 -0.04 0.01 0.07
## h2 u2 com
## id 0.063 0.94 2.7
## axcpt_proactive_control 0.202 0.80 1.3
## axcpt_ax_mean_rt 0.707 0.29 1.4
## axcpt_ay_mean_rt 0.586 0.41 1.5
## axcpt_bx_mean_rt 0.665 0.34 1.1
## axcpt_by_mean_rt 0.637 0.36 1.1
## axcpt_ax_accuracy 0.367 0.63 1.0
## axcpt_ay_accuracy 0.532 0.47 1.3
## axcpt_bx_accuracy 0.532 0.47 1.1
## axcpt_by_accuracy 0.444 0.56 1.0
## axcpt_mean_rt 0.885 0.12 1.1
## axcpt_mean_accuracy 0.895 0.10 1.0
## antisaccade_error_rate 0.357 0.64 2.0
## antisaccade_mean_rt 0.422 0.58 3.2
## antisaccade_rt_sd 0.404 0.60 2.6
## flanker_error_rate_congruent 0.278 0.72 4.6
## flanker_mean_rt_congruent 0.491 0.51 1.5
## flanker_error_rate_incongruent 0.307 0.69 3.4
## flanker_mean_rt_incongruent 0.563 0.44 1.4
## flanker_rt_switchcost 0.198 0.80 1.4
## flanker_mean_rt 0.565 0.43 1.4
## flanker_mean_error_rate 0.360 0.64 3.7
## stroop_mean_rt_congruent 0.032 0.97 2.2
## stroop_mean_rt_incongruent 0.058 0.94 2.1
## stroop_error_rate_congruent 0.410 0.59 1.4
## stroop_error_rate_incongruent 0.475 0.52 1.4
## stroop_mean_rt_switchcost 0.058 0.94 2.1
## stroop_mean_rt 0.058 0.94 2.1
## stroop_mean_error_rate 0.488 0.51 1.3
## catswitch_accuracy_switch 0.451 0.55 2.0
## catswitch_accuracy_nonswitch 0.578 0.42 2.2
## catswitch_mean_rt_switch 0.768 0.23 1.1
## catswitch_mean_rt_nonswitch 0.526 0.47 1.5
## catswitch_rt_switchcost 0.336 0.66 1.1
## catswitch_mean_rt 0.762 0.24 1.2
## catswitch_accuracy 0.606 0.39 2.1
## updating_accuracy 0.261 0.74 3.0
## updating_num_correct 0.265 0.73 2.9
## updating_mean_rt 0.196 0.80 3.6
## supps_total 0.790 0.21 1.3
## supps_neg_urgency 0.447 0.55 1.4
## supps_lack_premed 0.457 0.54 1.2
## supps_lack_pers 0.291 0.71 2.5
## supps_sen_seek 0.252 0.75 3.1
## supps_pos_urgency 0.508 0.49 1.7
## tova_accuracy 0.668 0.33 1.6
## tova_mean_rt 0.725 0.27 1.8
## tova_rt_variability 0.870 0.13 1.0
## tova_mean_rt_infrequent 0.472 0.53 1.9
## tova_rt_variability_infrequent 0.524 0.48 1.2
## tova_accuracy_infrequent 0.596 0.40 1.7
## tova_mean_rt_frequent 0.723 0.28 1.8
## tova_rt_variability_frequent 0.836 0.16 1.0
## tova_accuracy_frequent 0.501 0.50 1.1
## tova_rt_variability_switchcost 0.169 0.83 1.2
## tova_false_alarm_frequent 0.386 0.61 4.9
## tova_misses_infrequent 0.596 0.40 1.7
## dm_accuracy_dog 0.152 0.85 4.6
## dm_accuracy_monkey 0.108 0.89 1.4
## dm_accuracy 0.316 0.68 2.2
## dm_mean_rt_dogs 0.234 0.77 1.1
## dm_mean_rt_monkey 0.483 0.52 1.1
## dm_mix_accuracy 0.249 0.75 2.2
## dm_mean_rt_mix_dog 0.713 0.29 1.2
## dm_mean_rt_mix_monkey 0.673 0.33 1.3
## dm_mean_rt 0.770 0.23 1.1
## cancellation_dog_score 0.452 0.55 2.3
## cancellation_monkey_score 0.389 0.61 2.2
## cancellation_mix_score 0.484 0.52 3.7
## forward_span_partial_score 0.351 0.65 2.2
## forward_span_longest_forward_seq 0.354 0.65 1.9
## bisbas_bis 0.041 0.96 2.4
## bisbas_drive 0.279 0.72 2.2
## bisbas_fun_seek 0.288 0.71 2.4
## bisbas_reward_response 0.215 0.78 2.1
## mini_markers_extra 0.269 0.73 4.3
## mini_markers_agree 0.253 0.75 2.1
## mini_markers_conscientiousness 0.474 0.53 1.2
## mini_markers_neuroticism 0.259 0.74 1.1
## mini_markers_open 0.219 0.78 2.7
## swan_inattentive 0.304 0.70 1.7
## swan_hyperactive 0.209 0.79 1.3
## swan_combined 0.066 0.93 1.8
##
## PA1 PA5 PA2 PA3 PA4 PA7 PA6
## SS loadings 7.31 6.82 5.09 4.09 4.25 3.97 3.68
## Proportion Var 0.09 0.08 0.06 0.05 0.05 0.05 0.04
## Cumulative Var 0.09 0.17 0.23 0.28 0.33 0.38 0.42
## Proportion Explained 0.21 0.19 0.14 0.12 0.12 0.11 0.10
## Cumulative Proportion 0.21 0.40 0.55 0.66 0.78 0.90 1.00
##
## With factor correlations of
## PA1 PA5 PA2 PA3 PA4 PA7 PA6
## PA1 1.00 0.35 0.20 -0.09 0.20 -0.12 -0.11
## PA5 0.35 1.00 0.16 0.05 0.16 -0.23 -0.06
## PA2 0.20 0.16 1.00 -0.03 0.11 0.09 0.09
## PA3 -0.09 0.05 -0.03 1.00 0.01 -0.01 0.01
## PA4 0.20 0.16 0.11 0.01 1.00 0.00 0.02
## PA7 -0.12 -0.23 0.09 -0.01 0.00 1.00 0.12
## PA6 -0.11 -0.06 0.09 0.01 0.02 0.12 1.00
##
## Mean item complexity = 1.9
## Test of the hypothesis that 7 factors are sufficient.
##
## The degrees of freedom for the null model are 3403 and the objective function was 382.97 with Chi Square of 127721.3
## The degrees of freedom for the model are 2843 and the objective function was 346.23
##
## The root mean square of the residuals (RMSR) is 0.07
## The df corrected root mean square of the residuals is 0.08
##
## The harmonic number of observations is 279 with the empirical chi square 10161.05 with prob < 0
## The total number of observations was 363 with Likelihood Chi Square = 113852.6 with prob < 0
##
## Tucker Lewis Index of factoring reliability = -0.084
## RMSEA index = 0.328 and the 90 % confidence intervals are 0.327 0.33
## BIC = 97094.8
## Fit based upon off diagonal values = 0.87
AXCPT
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 264 0.14 0.1 0.15 0.14 0.11 -0.15 0.42 0.57 -0.16 -0.22 0.01
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 237 0.95 0.04 0.97 0.96 0.03 0.81 1 0.19 -1.23 1.17 0
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 247 0.98 0.02 0.99 0.98 0.01 0.93 1 0.07 -1.06 0.52 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 253 0.9 0.11 0.94 0.91 0.09 0.58 1 0.42 -1.07 0.22 0.01## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 233 0.95 0.08 1 0.97 0 0.69 1 0.31 -1.62 1.82 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 214 1 0 1 1 0 1 1 0 NaN NaN 0
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 264 483.16 87.64 474.42 478.82 91.7 305.8 704.03 398.23 0.39 -0.42
## se
## X1 5.39
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 261 442.31 78.59 431 436.97 77.1 307 671 364 0.57 -0.35 4.86## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 260 580.25 87.77 572 576.5 87.47 371 815 444 0.35 -0.21 5.44## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 263 447.05 116.79 434 440.49 121.57 206 772 566 0.49 -0.26 7.2## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 266 454.26 106.72 446.5 450.01 117.87 227 751 524 0.33 -0.38
## se
## X1 6.54
Antisaccade
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 311 0.24 0.13 0.21 0.23 0.12 0.01 0.58 0.57 0.75 -0.27 0.01
## vars n mean sd median trimmed mad min max range skew
## X1 1 295 630.65 126.92 614.28 619.93 117.78 289.11 1003.03 713.92 0.7
## kurtosis se
## X1 0.32 7.39
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 280 231.35 126.85 192.45 212.87 100.2 65.6 651.81 586.21 1.2 0.85
## se
## X1 7.58
Flanker
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 295 1.98 2.34 1.39 1.58 2.06 0 9.72 9.72 1.36 1.36 0.14
## vars n mean sd median trimmed mad min max range skew
## X1 1 303 618.82 126.99 597.07 608.84 128.73 390.6 996.46 605.86 0.61
## kurtosis se
## X1 -0.24 7.3
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 246 0 0 0 0 0 0 0 0 NaN NaN 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 285 2.84 3.29 2.78 2.3 4.12 0 11.11 11.11 1.05 0.21 0.19
## vars n mean sd median trimmed mad min max range skew
## X1 1 306 572.69 114.69 555.58 563.64 120.91 367.78 886.61 518.83 0.65
## kurtosis se
## X1 -0.05 6.56## vars n mean sd median trimmed mad min max range skew
## X1 1 303 666.23 147.38 634.8 654.04 132.52 371.4 1111.29 739.89 0.73
## kurtosis se
## X1 0.03 8.47
## vars n mean sd median trimmed mad min max range skew
## X1 1 292 -86.79 50.55 -80.6 -84.24 50.69 -230.81 33.78 264.58 -0.44
## kurtosis se
## X1 0.02 2.96
Stroop
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 250 0.02 0.03 0.02 0.02 0.03 0 0.1 0.1 1.23 0.84 0
## vars n mean sd median trimmed mad min max range skew
## X1 1 263 2111.55 971.8 2081.66 2035.98 1068.48 619.27 4770.06 4150.79 0.52
## kurtosis se
## X1 -0.34 59.92
## vars n mean sd median trimmed mad min max range skew
## X1 1 263 2111.55 971.8 2081.66 2035.98 1068.48 619.27 4770.06 4150.79 0.52
## kurtosis se
## X1 -0.34 59.92## vars n mean sd median trimmed mad min max range skew
## X1 1 260 2162.28 982.62 2114.72 2080.89 1082.1 652.17 4996.36 4344.19 0.59
## kurtosis se
## X1 -0.28 60.94
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 223 0 0 0 0 0 0 0 0 NaN NaN 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 249 0.04 0.04 0.04 0.03 0.06 0 0.17 0.17 1.04 0.26 0
## vars n mean sd median trimmed mad min max range skew
## X1 1 235 -183.94 328.08 -160.71 -179.32 258.1 -994.75 627.84 1622.59 -0.09
## kurtosis se
## X1 0.28 21.4
TOVA
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 284 0.98 0.02 0.98 0.98 0.01 0.93 1 0.07 -1.04 0.56 0
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 275 0.99 0.01 1 1 0 0.96 1 0.04 -1.48 1.34 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 282 0.99 0.02 1 0.99 0 0.94 1 0.06 -1.67 1.74 0
## vars n mean sd median trimmed mad min max range skew
## X1 1 301 404.06 54.86 397.08 400.04 55.54 296.55 553.87 257.32 0.6
## kurtosis se
## X1 -0.23 3.16
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 303 393.24 59.06 383.44 388.34 56.79 284.39 557.4 273.01 0.67 -0.15
## se
## X1 3.39## vars n mean sd median trimmed mad min max range skew
## X1 1 303 445.68 56.54 435.89 442.93 56.05 334.08 605.81 271.73 0.46
## kurtosis se
## X1 -0.26 3.25
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 296 95.56 38.6 86.61 91.52 35.28 27.88 208.6 180.72 0.86 0.05
## se
## X1 2.24## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 289 88.99 28.62 83.21 86.03 23.95 34.6 173.13 138.53 0.92 0.48
## se
## X1 1.68
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 280 -1.28 26.7 -0.05 -0.78 22.28 -73.13 67.85 140.98 -0.17 0.22
## se
## X1 1.6
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 297 0.1 0.08 0.08 0.09 0.08 0 0.36 0.36 0.77 0.22 0
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 282 0.01 0.02 0 0.01 0 0 0.06 0.06 1.67 1.74 0
Category Switch 
## vars n mean sd median trimmed mad min max range skew
## X1 1 299 1220.68 289.04 1186.16 1201.83 288.29 620.29 2008.93 1388.64 0.52
## kurtosis se
## X1 -0.29 16.72
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 286 0.6 0.06 0.6 0.6 0.06 0.44 0.67 0.23 -0.94 0.29 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 283 0.62 0.04 0.62 0.63 0.03 0.5 0.67 0.17 -1.03 0.5 0
## vars n mean sd median trimmed mad min max range skew
## X1 1 298 1365.99 362.32 1321.62 1345.12 356.5 346.61 2313.07 1966.46 0.45
## kurtosis se
## X1 -0.17 20.99## vars n mean sd median trimmed mad min max range skew
## X1 1 296 1051.48 230.26 1011.91 1035.76 232.62 570.42 1699.97 1129.55 0.57
## kurtosis se
## X1 -0.21 13.38
## vars n mean sd median trimmed mad min max range skew
## X1 1 290 300.36 206.7 263.85 287.85 173.35 -227.51 865.33 1092.83 0.53
## kurtosis se
## X1 0.2 12.14
Updating Numbers
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 291 0.67 0.16 0.69 0.68 0.16 0.16 1 0.84 -0.43 -0.04 0.01
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 303 2379.51 560.68 2349 2352.88 593.04 1269 3914 2645 0.38 -0.45
## se
## X1 32.21
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 291 32.73 8.03 34 33.13 7.41 8 49 41 -0.46 0 0.47
SUPPS-P
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 318 41.96 6.96 42 41.91 7.41 22 63 41 0.08 0.2 0.39
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 318 8.09 2.51 8 8.01 2.97 4 16 12 0.36 -0.1 0.14
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 311 9.19 2.49 9 9.19 2.97 4 15 11 0 -0.37 0.14
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 314 6.86 1.89 7 6.77 1.48 4 12 8 0.36 -0.29 0.11
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 314 6.82 1.73 7 6.79 1.48 4 11 7 0.18 -0.5 0.1
Dogs & Monkeys
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 228 0.99 0.01 0.99 0.99 0 0.98 1 0.02 -0.36 -0.7 0
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 266 521.31 65.83 516.25 519.02 68.87 380.2 724.25 344.05 0.35 -0.26
## se
## X1 4.04
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 275 1 0 1 1 0 1 1 0 NaN NaN 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 262 1 0 1 1 0 1 1 0 NaN NaN 0## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 271 0.97 0.03 0.98 0.98 0.03 0.9 1 0.1 -0.99 0.38 0
## vars n mean sd median trimmed mad min max range skew
## X1 1 270 512.97 66.59 507.66 508.85 69.76 390.79 709.93 319.14 0.55
## kurtosis se
## X1 -0.22 4.05## vars n mean sd median trimmed mad min max range skew
## X1 1 270 527.52 66.73 523.1 522.76 66.22 406.21 710.99 304.78 0.59
## kurtosis se
## X1 -0.02 4.06## vars n mean sd median trimmed mad min max range skew
## X1 1 266 768.39 108.86 760.16 764.54 103.55 532.95 1085.18 552.23 0.38
## kurtosis se
## X1 -0.03 6.67## vars n mean sd median trimmed mad min max range skew
## X1 1 266 787.99 121.52 774.18 781.49 112.68 537.74 1159.18 621.44 0.54
## kurtosis se
## X1 0.05 7.45
Cancellation
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 277 67.18 9.39 67 67.1 8.9 46 93 47 0.13 -0.18 0.56
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 283 71.41 11.31 72 71.26 11.86 42 100 58 0.05 -0.25 0.67
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 281 143.66 22.99 143 143.73 23.72 84 206 122 0.01 -0.09 1.37
Forward Span
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 277 50.25 13.63 50 49.99 13.34 14 84 70 0.09 -0.04 0.82
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 283 6.84 1.14 7 6.87 1.48 3 10 7 -0.18 0.72 0.07
BIS/BAS
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 331 8.48 2.18 8 8.51 2.97 4 13 9 -0.09 -0.56 0.12
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 327 7.67 2.07 8 7.6 1.48 4 13 9 0.26 -0.36 0.11
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 326 7.46 1.85 7 7.34 1.48 5 13 8 0.51 -0.27 0.1
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 328 13.34 3.37 13 13.22 2.97 7 22 15 0.28 -0.51 0.19
Mini Markers
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 336 42.75 11.17 42 42.62 11.86 15 69 54 0.11 -0.48 0.61
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 331 56.32 8.62 57 56.58 8.9 34 72 38 -0.26 -0.67 0.47
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 336 50.71 9.49 51 50.9 10.38 29 72 43 -0.15 -0.63 0.52
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 334 36.56 9.72 36 36.72 10.38 13 63 50 -0.07 -0.3 0.53
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 336 51.34 8.45 51 51.51 8.9 31 71 40 -0.15 -0.56 0.46
SWAN Scale
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 323 2.09 1.68 2 1.92 1.48 0 6 6 0.72 -0.26 0.09
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 326 1.93 1.72 2 1.74 1.48 0 6 6 0.73 -0.33 0.1
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 330 0 0 0 0 0 0 0 0 NaN NaN 0