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=  0.6013144
L=20 M=20 N=20 p=0.0500 reps=10000 corrlen=  0.6395664
L=30 M=30 N=30 p=0.0500 reps=10000 corrlen=  0.6457004
L=40 M=40 N=40 p=0.0500 reps=10000 corrlen=  0.6506514
L=50 M=50 N=50 p=0.0500 reps=10000 corrlen=  0.6397684

L=10 M=10 N=10 p=0.1000 reps=10000 corrlen=  1.0276570
L=20 M=20 N=20 p=0.1000 reps=10000 corrlen=  1.1102524
L=30 M=30 N=30 p=0.1000 reps=10000 corrlen=  1.1239867
L=40 M=40 N=40 p=0.1000 reps=10000 corrlen=  1.1348101
L=50 M=50 N=50 p=0.1000 reps=10000 corrlen=  1.1266282

L=10 M=10 N=10 p=0.1100 reps=10000 corrlen=  1.1391551
L=20 M=20 N=20 p=0.1100 reps=10000 corrlen=  1.2141857
L=30 M=30 N=30 p=0.1100 reps=10000 corrlen=  1.2203029
L=40 M=40 N=40 p=0.1100 reps=10000 corrlen=  1.2300427
L=50 M=50 N=50 p=0.1100 reps=10000 corrlen=  1.2703071

L=10 M=10 N=10 p=0.1200 reps=10000 corrlen=  1.2312944
L=20 M=20 N=20 p=0.1200 reps=10000 corrlen=  1.3297619
L=30 M=30 N=30 p=0.1200 reps=10000 corrlen=  1.3701399
L=40 M=40 N=40 p=0.1200 reps=10000 corrlen=  1.3998597
L=50 M=50 N=50 p=0.1200 reps=10000 corrlen=  1.4118838

L=10 M=10 N=10 p=0.1300 reps=10000 corrlen=  1.3309781
L=20 M=20 N=20 p=0.1300 reps=10000 corrlen=  1.4775899
L=30 M=30 N=30 p=0.1300 reps=10000 corrlen=  1.5175027
L=40 M=40 N=40 p=0.1300 reps=10000 corrlen=  1.5634685
L=50 M=50 N=50 p=0.1300 reps=10000 corrlen=  1.5199454

L=10 M=10 N=10 p=0.1400 reps=10000 corrlen=  1.4707890
L=20 M=20 N=20 p=0.1400 reps=10000 corrlen=  1.6410373
L=30 M=30 N=30 p=0.1400 reps=10000 corrlen=  1.6583646
L=40 M=40 N=40 p=0.1400 reps=10000 corrlen=  1.6771083
L=50 M=50 N=50 p=0.1400 reps=10000 corrlen=  1.7248961

L=10 M=10 N=10 p=0.1500 reps=10000 corrlen=  1.5689657
L=20 M=20 N=20 p=0.1500 reps=10000 corrlen=  1.8326942
L=30 M=30 N=30 p=0.1500 reps=10000 corrlen=  1.8792337
L=40 M=40 N=40 p=0.1500 reps=10000 corrlen=  1.8925891
L=50 M=50 N=50 p=0.1500 reps=10000 corrlen=  1.8909168

L=10 M=10 N=10 p=0.1600 reps=10000 corrlen=  1.7283527
L=20 M=20 N=20 p=0.1600 reps=10000 corrlen=  1.9918341
L=30 M=30 N=30 p=0.1600 reps=10000 corrlen=  2.0565395
L=40 M=40 N=40 p=0.1600 reps=10000 corrlen=  2.1497176
L=50 M=50 N=50 p=0.1600 reps=10000 corrlen=  2.0815248

L=10 M=10 N=10 p=0.1700 reps=10000 corrlen=  1.8813583
L=20 M=20 N=20 p=0.1700 reps=10000 corrlen=  2.2519011
L=30 M=30 N=30 p=0.1700 reps=10000 corrlen=  2.3537146
L=40 M=40 N=40 p=0.1700 reps=10000 corrlen=  2.3971189
L=50 M=50 N=50 p=0.1700 reps=10000 corrlen=  2.4790636

L=10 M=10 N=10 p=0.1800 reps=10000 corrlen=  2.1132845
L=20 M=20 N=20 p=0.1800 reps=10000 corrlen=  2.5184762
L=30 M=30 N=30 p=0.1800 reps=10000 corrlen=  2.6179873
L=40 M=40 N=40 p=0.1800 reps=10000 corrlen=  2.7241281
L=50 M=50 N=50 p=0.1800 reps=10000 corrlen=  2.7589528

L=10 M=10 N=10 p=0.1900 reps=10000 corrlen=  2.2960963
L=20 M=20 N=20 p=0.1900 reps=10000 corrlen=  2.8144876
L=30 M=30 N=30 p=0.1900 reps=10000 corrlen=  3.0526120
L=40 M=40 N=40 p=0.1900 reps=10000 corrlen=  3.2033808
L=50 M=50 N=50 p=0.1900 reps=10000 corrlen=  3.2520687

L=10 M=10 N=10 p=0.2000 reps=10000 corrlen=  2.4698697
L=20 M=20 N=20 p=0.2000 reps=10000 corrlen=  3.2655154
L=30 M=30 N=30 p=0.2000 reps=10000 corrlen=  3.5457216
L=40 M=40 N=40 p=0.2000 reps=10000 corrlen=  3.6520360
L=50 M=50 N=50 p=0.2000 reps=10000 corrlen=  3.7609694

L=10 M=10 N=10 p=0.2100 reps=10000 corrlen=  2.7408941
L=20 M=20 N=20 p=0.2100 reps=10000 corrlen=  3.7629229
L=30 M=30 N=30 p=0.2100 reps=10000 corrlen=  4.2507408
L=40 M=40 N=40 p=0.2100 reps=10000 corrlen=  4.5025039
L=50 M=50 N=50 p=0.2100 reps=10000 corrlen=  4.5411101

L=10 M=10 N=10 p=0.2200 reps=10000 corrlen=  2.9999181
L=20 M=20 N=20 p=0.2200 reps=10000 corrlen=  4.3646280
L=30 M=30 N=30 p=0.2200 reps=10000 corrlen=  5.1885853
L=40 M=40 N=40 p=0.2200 reps=10000 corrlen=  5.5369194
L=50 M=50 N=50 p=0.2200 reps=10000 corrlen=  5.7387618

L=10 M=10 N=10 p=0.2300 reps=10000 corrlen=  3.2423079
L=20 M=20 N=20 p=0.2300 reps=10000 corrlen=  5.2018098
L=30 M=30 N=30 p=0.2300 reps=10000 corrlen=  6.4784584
L=40 M=40 N=40 p=0.2300 reps=10000 corrlen=  7.2887880
L=50 M=50 N=50 p=0.2300 reps=10000 corrlen=  7.8650573

L=10 M=10 N=10 p=0.2400 reps=10000 corrlen=  3.5545029
L=20 M=20 N=20 p=0.2400 reps=10000 corrlen=  6.1059370
L=30 M=30 N=30 p=0.2400 reps=10000 corrlen=  8.3044885
L=40 M=40 N=40 p=0.2400 reps=10000 corrlen= 10.1884645
L=50 M=50 N=50 p=0.2400 reps=10000 corrlen= 11.3303649

L=10 M=10 N=10 p=0.2500 reps=10000 corrlen=  3.7998109
L=20 M=20 N=20 p=0.2500 reps=10000 corrlen=  7.1130473
L=30 M=30 N=30 p=0.2500 reps=10000 corrlen= 10.4864049
L=40 M=40 N=40 p=0.2500 reps=10000 corrlen= 14.0148219
L=50 M=50 N=50 p=0.2500 reps=10000 corrlen= 17.6181905

L=10 M=10 N=10 p=0.2600 reps=10000 corrlen=  3.9910209
L=20 M=20 N=20 p=0.2600 reps=10000 corrlen=  7.9420899
L=30 M=30 N=30 p=0.2600 reps=10000 corrlen= 12.2609212
L=40 M=40 N=40 p=0.2600 reps=10000 corrlen= 16.5211376
L=50 M=50 N=50 p=0.2600 reps=10000 corrlen= 19.4897092

L=10 M=10 N=10 p=0.2700 reps=10000 corrlen=  4.2050731
L=20 M=20 N=20 p=0.2700 reps=10000 corrlen=  8.3850692
L=30 M=30 N=30 p=0.2700 reps=10000 corrlen= 11.1888772
L=40 M=40 N=40 p=0.2700 reps=10000 corrlen=  6.3032288
L=50 M=50 N=50 p=0.2700 reps=10000 corrlen=  4.5491512

L=10 M=10 N=10 p=0.2800 reps=10000 corrlen=  4.3775653
L=20 M=20 N=20 p=0.2800 reps=10000 corrlen=  7.8981427
L=30 M=30 N=30 p=0.2800 reps=10000 corrlen=  3.7031482
L=40 M=40 N=40 p=0.2800 reps=10000 corrlen=  3.3185927
L=50 M=50 N=50 p=0.2800 reps=10000 corrlen=  3.4052994

L=10 M=10 N=10 p=0.2900 reps=10000 corrlen=  4.4908661
L=20 M=20 N=20 p=0.2900 reps=10000 corrlen=  6.1563857
L=30 M=30 N=30 p=0.2900 reps=10000 corrlen=  2.6142307
L=40 M=40 N=40 p=0.2900 reps=10000 corrlen=  2.6757520
L=50 M=50 N=50 p=0.2900 reps=10000 corrlen=  2.8174273

L=10 M=10 N=10 p=0.3000 reps=10000 corrlen=  4.5392151
L=20 M=20 N=20 p=0.3000 reps=10000 corrlen=  2.2790695
L=30 M=30 N=30 p=0.3000 reps=10000 corrlen=  2.0889735
L=40 M=40 N=40 p=0.3000 reps=10000 corrlen=  2.2626055
L=50 M=50 N=50 p=0.3000 reps=10000 corrlen=  2.3835495

L=10 M=10 N=10 p=0.3100 reps=10000 corrlen=  4.4505184
L=20 M=20 N=20 p=0.3100 reps=10000 corrlen=  2.0815994
L=30 M=30 N=30 p=0.3100 reps=10000 corrlen=  2.1081752
L=40 M=40 N=40 p=0.3100 reps=10000 corrlen=  2.1045718
L=50 M=50 N=50 p=0.3100 reps=10000 corrlen=  1.9060823

L=10 M=10 N=10 p=0.3200 reps=10000 corrlen=  4.1365976
L=20 M=20 N=20 p=0.3200 reps=10000 corrlen=  1.7694497
L=30 M=30 N=30 p=0.3200 reps=10000 corrlen=  1.6491459
L=40 M=40 N=40 p=0.3200 reps=10000 corrlen=  1.7261786
L=50 M=50 N=50 p=0.3200 reps=10000 corrlen=  1.8416034

L=10 M=10 N=10 p=0.3300 reps=10000 corrlen=  3.3568286
L=20 M=20 N=20 p=0.3300 reps=10000 corrlen=  1.5272998
L=30 M=30 N=30 p=0.3300 reps=10000 corrlen=  1.5629676
L=40 M=40 N=40 p=0.3300 reps=10000 corrlen=  1.4142136
L=50 M=50 N=50 p=0.3300 reps=10000 corrlen=  1.5050570

L=10 M=10 N=10 p=0.3400 reps=10000 corrlen=  1.6684201
L=20 M=20 N=20 p=0.3400 reps=10000 corrlen=  1.4405002
L=30 M=30 N=30 p=0.3400 reps=10000 corrlen=  1.4728998
L=40 M=40 N=40 p=0.3400 reps=10000 corrlen=  1.4206561
L=50 M=50 N=50 p=0.3400 reps=10000 corrlen=  1.3872361

L=10 M=10 N=10 p=0.3500 reps=10000 corrlen=  1.5807999
L=20 M=20 N=20 p=0.3500 reps=10000 corrlen=  1.3314865
L=30 M=30 N=30 p=0.3500 reps=10000 corrlen=  1.3448569
L=40 M=40 N=40 p=0.3500 reps=10000 corrlen=  1.3432458
L=50 M=50 N=50 p=0.3500 reps=10000 corrlen=  1.3243005

L=10 M=10 N=10 p=0.3600 reps=10000 corrlen=  1.1991786
L=20 M=20 N=20 p=0.3600 reps=10000 corrlen=  1.2062299
L=30 M=30 N=30 p=0.3600 reps=10000 corrlen=  1.2313597
L=40 M=40 N=40 p=0.3600 reps=10000 corrlen=  1.1973886
L=50 M=50 N=50 p=0.3600 reps=10000 corrlen=  1.3801311

L=10 M=10 N=10 p=0.3700 reps=10000 corrlen=  1.2628168
L=20 M=20 N=20 p=0.3700 reps=10000 corrlen=  1.0577980
L=30 M=30 N=30 p=0.3700 reps=10000 corrlen=  1.0831888
L=40 M=40 N=40 p=0.3700 reps=10000 corrlen=  1.0802351
L=50 M=50 N=50 p=0.3700 reps=10000 corrlen=  1.1160249

L=10 M=10 N=10 p=0.3800 reps=10000 corrlen=  1.0933271
L=20 M=20 N=20 p=0.3800 reps=10000 corrlen=  1.1138037
L=30 M=30 N=30 p=0.3800 reps=10000 corrlen=  1.0865402
L=40 M=40 N=40 p=0.3800 reps=10000 corrlen=  0.9904659
L=50 M=50 N=50 p=0.3800 reps=10000 corrlen=  0.9674849

L=10 M=10 N=10 p=0.3900 reps=10000 corrlen=  1.0844328
L=20 M=20 N=20 p=0.3900 reps=10000 corrlen=  0.9313680
L=30 M=30 N=30 p=0.3900 reps=10000 corrlen=  0.9609957
L=40 M=40 N=40 p=0.3900 reps=10000 corrlen=  1.0594201
L=50 M=50 N=50 p=0.3900 reps=10000 corrlen=  0.9556228

L=10 M=10 N=10 p=0.4000 reps=10000 corrlen=  0.9155712
L=20 M=20 N=20 p=0.4000 reps=10000 corrlen=  0.9948052
L=30 M=30 N=30 p=0.4000 reps=10000 corrlen=  0.9431428
L=40 M=40 N=40 p=0.4000 reps=10000 corrlen=  0.8649485
L=50 M=50 N=50 p=0.4000 reps=10000 corrlen=  0.9463204

L=10 M=10 N=10 p=0.4500 reps=10000 corrlen=  0.6610771
L=20 M=20 N=20 p=0.4500 reps=10000 corrlen=  0.5560292
L=30 M=30 N=30 p=0.4500 reps=10000 corrlen=  0.7162221
L=40 M=40 N=40 p=0.4500 reps=10000 corrlen=  0.7947764
L=50 M=50 N=50 p=0.4500 reps=10000 corrlen=  0.7623007

L=10 M=10 N=10 p=0.5000 reps=10000 corrlen=  0.5383270
L=20 M=20 N=20 p=0.5000 reps=10000 corrlen=  0.4926234
L=30 M=30 N=30 p=0.5000 reps=10000 corrlen=  0.4871223
L=40 M=40 N=40 p=0.5000 reps=10000 corrlen=  0.5093118
L=50 M=50 N=50 p=0.5000 reps=10000 corrlen=  0.5306491

L=10 M=10 N=10 p=0.5500 reps=10000 corrlen=  0.3380617
L=20 M=20 N=20 p=0.5500 reps=10000 corrlen=  0.2941742
L=30 M=30 N=30 p=0.5500 reps=10000 corrlen=  0.2842676
L=40 M=40 N=40 p=0.5500 reps=10000 corrlen=  0.4281744
L=50 M=50 N=50 p=0.5500 reps=10000 corrlen=  0.3939193