L=10 M=10 N=10 p=0.0000 reps=10000 corrlen=  0.0000000
L=20 M=20 N=20 p=0.0000 reps=10000 corrlen=  0.0000000
L=30 M=30 N=30 p=0.0000 reps=10000 corrlen=  0.0000000
L=40 M=40 N=40 p=0.0000 reps=10000 corrlen=  0.0000000
L=50 M=50 N=50 p=0.0000 reps=10000 corrlen=  0.0000000

L=10 M=10 N=10 p=0.0500 reps=10000 corrlen=  0.6138103
L=20 M=20 N=20 p=0.0500 reps=10000 corrlen=  0.6316173
L=30 M=30 N=30 p=0.0500 reps=10000 corrlen=  0.6393329
L=40 M=40 N=40 p=0.0500 reps=10000 corrlen=  0.6415218
L=50 M=50 N=50 p=0.0500 reps=10000 corrlen=  0.6408067

L=10 M=10 N=10 p=0.1000 reps=10000 corrlen=  1.0502090
L=20 M=20 N=20 p=0.1000 reps=10000 corrlen=  1.1017767
L=30 M=30 N=30 p=0.1000 reps=10000 corrlen=  1.1180811
L=40 M=40 N=40 p=0.1000 reps=10000 corrlen=  1.1374494
L=50 M=50 N=50 p=0.1000 reps=10000 corrlen=  1.1346328

L=10 M=10 N=10 p=0.1100 reps=10000 corrlen=  1.1315458
L=20 M=20 N=20 p=0.1100 reps=10000 corrlen=  1.2273525
L=30 M=30 N=30 p=0.1100 reps=10000 corrlen=  1.2565257
L=40 M=40 N=40 p=0.1100 reps=10000 corrlen=  1.2760727
L=50 M=50 N=50 p=0.1100 reps=10000 corrlen=  1.2607974

L=10 M=10 N=10 p=0.1200 reps=10000 corrlen=  1.2225822
L=20 M=20 N=20 p=0.1200 reps=10000 corrlen=  1.3230840
L=30 M=30 N=30 p=0.1200 reps=10000 corrlen=  1.3779601
L=40 M=40 N=40 p=0.1200 reps=10000 corrlen=  1.3769781
L=50 M=50 N=50 p=0.1200 reps=10000 corrlen=  1.4008738

L=10 M=10 N=10 p=0.1300 reps=10000 corrlen=  1.3465472
L=20 M=20 N=20 p=0.1300 reps=10000 corrlen=  1.4937180
L=30 M=30 N=30 p=0.1300 reps=10000 corrlen=  1.5201208
L=40 M=40 N=40 p=0.1300 reps=10000 corrlen=  1.5225285
L=50 M=50 N=50 p=0.1300 reps=10000 corrlen=  1.5671496

L=10 M=10 N=10 p=0.1400 reps=10000 corrlen=  1.4513560
L=20 M=20 N=20 p=0.1400 reps=10000 corrlen=  1.6253412
L=30 M=30 N=30 p=0.1400 reps=10000 corrlen=  1.6817776
L=40 M=40 N=40 p=0.1400 reps=10000 corrlen=  1.7113128
L=50 M=50 N=50 p=0.1400 reps=10000 corrlen=  1.7025012

L=10 M=10 N=10 p=0.1500 reps=10000 corrlen=  1.5860530
L=20 M=20 N=20 p=0.1500 reps=10000 corrlen=  1.7895760
L=30 M=30 N=30 p=0.1500 reps=10000 corrlen=  1.8646438
L=40 M=40 N=40 p=0.1500 reps=10000 corrlen=  1.8926402
L=50 M=50 N=50 p=0.1500 reps=10000 corrlen=  1.9138276

L=10 M=10 N=10 p=0.1600 reps=10000 corrlen=  1.7220959
L=20 M=20 N=20 p=0.1600 reps=10000 corrlen=  2.0207397
L=30 M=30 N=30 p=0.1600 reps=10000 corrlen=  2.1008317
L=40 M=40 N=40 p=0.1600 reps=10000 corrlen=  2.1065713
L=50 M=50 N=50 p=0.1600 reps=10000 corrlen=  2.1567571

L=10 M=10 N=10 p=0.1700 reps=10000 corrlen=  1.9039140
L=20 M=20 N=20 p=0.1700 reps=10000 corrlen=  2.2592548
L=30 M=30 N=30 p=0.1700 reps=10000 corrlen=  2.3462831
L=40 M=40 N=40 p=0.1700 reps=10000 corrlen=  2.3817569
L=50 M=50 N=50 p=0.1700 reps=10000 corrlen=  2.3870146

L=10 M=10 N=10 p=0.1800 reps=10000 corrlen=  2.0992593
L=20 M=20 N=20 p=0.1800 reps=10000 corrlen=  2.5223820
L=30 M=30 N=30 p=0.1800 reps=10000 corrlen=  2.6459658
L=40 M=40 N=40 p=0.1800 reps=10000 corrlen=  2.7408682
L=50 M=50 N=50 p=0.1800 reps=10000 corrlen=  2.7756794

L=10 M=10 N=10 p=0.1900 reps=10000 corrlen=  2.2884972
L=20 M=20 N=20 p=0.1900 reps=10000 corrlen=  2.8361923
L=30 M=30 N=30 p=0.1900 reps=10000 corrlen=  2.9860136
L=40 M=40 N=40 p=0.1900 reps=10000 corrlen=  3.1431056
L=50 M=50 N=50 p=0.1900 reps=10000 corrlen=  3.2594167

L=10 M=10 N=10 p=0.2000 reps=10000 corrlen=  2.4875296
L=20 M=20 N=20 p=0.2000 reps=10000 corrlen=  3.2618345
L=30 M=30 N=30 p=0.2000 reps=10000 corrlen=  3.5423570
L=40 M=40 N=40 p=0.2000 reps=10000 corrlen=  3.6747449
L=50 M=50 N=50 p=0.2000 reps=10000 corrlen=  3.7956663

L=10 M=10 N=10 p=0.2100 reps=10000 corrlen=  2.7311025
L=20 M=20 N=20 p=0.2100 reps=10000 corrlen=  3.7579124
L=30 M=30 N=30 p=0.2100 reps=10000 corrlen=  4.1789045
L=40 M=40 N=40 p=0.2100 reps=10000 corrlen=  4.5257816
L=50 M=50 N=50 p=0.2100 reps=10000 corrlen=  4.4722669

L=10 M=10 N=10 p=0.2200 reps=10000 corrlen=  2.9744615
L=20 M=20 N=20 p=0.2200 reps=10000 corrlen=  4.4339820
L=30 M=30 N=30 p=0.2200 reps=10000 corrlen=  5.1233559
L=40 M=40 N=40 p=0.2200 reps=10000 corrlen=  5.5019508
L=50 M=50 N=50 p=0.2200 reps=10000 corrlen=  5.8359893

L=10 M=10 N=10 p=0.2300 reps=10000 corrlen=  3.2635420
L=20 M=20 N=20 p=0.2300 reps=10000 corrlen=  5.2044173
L=30 M=30 N=30 p=0.2300 reps=10000 corrlen=  6.2839102
L=40 M=40 N=40 p=0.2300 reps=10000 corrlen=  7.1559815
L=50 M=50 N=50 p=0.2300 reps=10000 corrlen=  7.6757855

L=10 M=10 N=10 p=0.2400 reps=10000 corrlen=  3.4707628
L=20 M=20 N=20 p=0.2400 reps=10000 corrlen=  6.1765382
L=30 M=30 N=30 p=0.2400 reps=10000 corrlen=  8.2534122
L=40 M=40 N=40 p=0.2400 reps=10000 corrlen=  9.8600027
L=50 M=50 N=50 p=0.2400 reps=10000 corrlen= 11.3632329

L=10 M=10 N=10 p=0.2500 reps=10000 corrlen=  3.7050650
L=20 M=20 N=20 p=0.2500 reps=10000 corrlen=  7.1730213
L=30 M=30 N=30 p=0.2500 reps=10000 corrlen= 10.5899834
L=40 M=40 N=40 p=0.2500 reps=10000 corrlen= 14.1046452
L=50 M=50 N=50 p=0.2500 reps=10000 corrlen= 17.6207375

L=10 M=10 N=10 p=0.2600 reps=10000 corrlen=  4.0017429
L=20 M=20 N=20 p=0.2600 reps=10000 corrlen=  7.9405538
L=30 M=30 N=30 p=0.2600 reps=10000 corrlen= 12.2614974
L=40 M=40 N=40 p=0.2600 reps=10000 corrlen= 16.2630931
L=50 M=50 N=50 p=0.2600 reps=10000 corrlen= 19.3677089

L=10 M=10 N=10 p=0.2700 reps=10000 corrlen=  4.1923009
L=20 M=20 N=20 p=0.2700 reps=10000 corrlen=  8.3053776
L=30 M=30 N=30 p=0.2700 reps=10000 corrlen= 11.2792967
L=40 M=40 N=40 p=0.2700 reps=10000 corrlen=  4.5737116
L=50 M=50 N=50 p=0.2700 reps=10000 corrlen=  4.6746459

L=10 M=10 N=10 p=0.2800 reps=10000 corrlen=  4.3199540
L=20 M=20 N=20 p=0.2800 reps=10000 corrlen=  7.9576598
L=30 M=30 N=30 p=0.2800 reps=10000 corrlen=  3.5867019
L=40 M=40 N=40 p=0.2800 reps=10000 corrlen=  3.5900556
L=50 M=50 N=50 p=0.2800 reps=10000 corrlen=  3.2266202

L=10 M=10 N=10 p=0.2900 reps=10000 corrlen=  4.4573547
L=20 M=20 N=20 p=0.2900 reps=10000 corrlen=  6.1411615
L=30 M=30 N=30 p=0.2900 reps=10000 corrlen=  2.8784698
L=40 M=40 N=40 p=0.2900 reps=10000 corrlen=  2.7167211
L=50 M=50 N=50 p=0.2900 reps=10000 corrlen=  3.1559781

L=10 M=10 N=10 p=0.3000 reps=10000 corrlen=  4.4932626
L=20 M=20 N=20 p=0.3000 reps=10000 corrlen=  2.1604000
L=30 M=30 N=30 p=0.3000 reps=10000 corrlen=  2.3208335
L=40 M=40 N=40 p=0.3000 reps=10000 corrlen=  2.5060514
L=50 M=50 N=50 p=0.3000 reps=10000 corrlen=  2.3168289

L=10 M=10 N=10 p=0.3100 reps=10000 corrlen=  4.4005812
L=20 M=20 N=20 p=0.3100 reps=10000 corrlen=  1.8682055
L=30 M=30 N=30 p=0.3100 reps=10000 corrlen=  2.0178552
L=40 M=40 N=40 p=0.3100 reps=10000 corrlen=  1.9045566
L=50 M=50 N=50 p=0.3100 reps=10000 corrlen=  2.0904173

L=10 M=10 N=10 p=0.3200 reps=10000 corrlen=  3.9166991
L=20 M=20 N=20 p=0.3200 reps=10000 corrlen=  1.8409139
L=30 M=30 N=30 p=0.3200 reps=10000 corrlen=  1.7164989
L=40 M=40 N=40 p=0.3200 reps=10000 corrlen=  1.7674831
L=50 M=50 N=50 p=0.3200 reps=10000 corrlen=  1.8740037

L=10 M=10 N=10 p=0.3300 reps=10000 corrlen=  3.2726116
L=20 M=20 N=20 p=0.3300 reps=10000 corrlen=  1.6246095
L=30 M=30 N=30 p=0.3300 reps=10000 corrlen=  1.5755757
L=40 M=40 N=40 p=0.3300 reps=10000 corrlen=  1.6645799
L=50 M=50 N=50 p=0.3300 reps=10000 corrlen=  1.6855928

L=10 M=10 N=10 p=0.3400 reps=10000 corrlen=  1.6627027
L=20 M=20 N=20 p=0.3400 reps=10000 corrlen=  1.3898489
L=30 M=30 N=30 p=0.3400 reps=10000 corrlen=  1.4329479
L=40 M=40 N=40 p=0.3400 reps=10000 corrlen=  1.4260551
L=50 M=50 N=50 p=0.3400 reps=10000 corrlen=  1.4723204

L=10 M=10 N=10 p=0.3500 reps=10000 corrlen=  1.8086630
L=20 M=20 N=20 p=0.3500 reps=10000 corrlen=  1.3808514
L=30 M=30 N=30 p=0.3500 reps=10000 corrlen=  1.2449593
L=40 M=40 N=40 p=0.3500 reps=10000 corrlen=  1.3430579
L=50 M=50 N=50 p=0.3500 reps=10000 corrlen=  1.4152614

L=10 M=10 N=10 p=0.3600 reps=10000 corrlen=  1.2579693
L=20 M=20 N=20 p=0.3600 reps=10000 corrlen=  1.1953604
L=30 M=30 N=30 p=0.3600 reps=10000 corrlen=  1.1314781
L=40 M=40 N=40 p=0.3600 reps=10000 corrlen=  1.1234548
L=50 M=50 N=50 p=0.3600 reps=10000 corrlen=  1.1576042

L=10 M=10 N=10 p=0.3700 reps=10000 corrlen=  1.1287918
L=20 M=20 N=20 p=0.3700 reps=10000 corrlen=  1.1328886
L=30 M=30 N=30 p=0.3700 reps=10000 corrlen=  1.1251720
L=40 M=40 N=40 p=0.3700 reps=10000 corrlen=  1.1619134
L=50 M=50 N=50 p=0.3700 reps=10000 corrlen=  1.2046338

L=10 M=10 N=10 p=0.3800 reps=10000 corrlen=  1.1536634
L=20 M=20 N=20 p=0.3800 reps=10000 corrlen=  1.0838846
L=30 M=30 N=30 p=0.3800 reps=10000 corrlen=  0.9698509
L=40 M=40 N=40 p=0.3800 reps=10000 corrlen=  1.1074727
L=50 M=50 N=50 p=0.3800 reps=10000 corrlen=  0.9561478

L=10 M=10 N=10 p=0.3900 reps=10000 corrlen=  0.9837608
L=20 M=20 N=20 p=0.3900 reps=10000 corrlen=  1.0986775
L=30 M=30 N=30 p=0.3900 reps=10000 corrlen=  0.9983561
L=40 M=40 N=40 p=0.3900 reps=10000 corrlen=  1.0314794
L=50 M=50 N=50 p=0.3900 reps=10000 corrlen=  1.0116705

L=10 M=10 N=10 p=0.4000 reps=10000 corrlen=  0.8890743
L=20 M=20 N=20 p=0.4000 reps=10000 corrlen=  0.9387413
L=30 M=30 N=30 p=0.4000 reps=10000 corrlen=  0.8637601
L=40 M=40 N=40 p=0.4000 reps=10000 corrlen=  0.9356162
L=50 M=50 N=50 p=0.4000 reps=10000 corrlen=  0.8872621

L=10 M=10 N=10 p=0.4500 reps=10000 corrlen=  0.6874859
L=20 M=20 N=20 p=0.4500 reps=10000 corrlen=  0.6917886
L=30 M=30 N=30 p=0.4500 reps=10000 corrlen=  0.7379767
L=40 M=40 N=40 p=0.4500 reps=10000 corrlen=  0.6433712
L=50 M=50 N=50 p=0.4500 reps=10000 corrlen=  0.7777332

L=10 M=10 N=10 p=0.5000 reps=10000 corrlen=  0.5350463
L=20 M=20 N=20 p=0.5000 reps=10000 corrlen=  0.4902483
L=30 M=30 N=30 p=0.5000 reps=10000 corrlen=  0.6571960
L=40 M=40 N=40 p=0.5000 reps=10000 corrlen=  0.5350933
L=50 M=50 N=50 p=0.5000 reps=10000 corrlen=  0.6445473

L=10 M=10 N=10 p=0.5500 reps=10000 corrlen=  0.4414921
L=20 M=20 N=20 p=0.5500 reps=10000 corrlen=  0.3659625
L=30 M=30 N=30 p=0.5500 reps=10000 corrlen=  0.2569781
L=40 M=40 N=40 p=0.5500 reps=10000 corrlen=  0.4082483
L=50 M=50 N=50 p=0.5500 reps=10000 corrlen=  0.3872983