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        FleXScan ver3.1.2 -- purely spatial      
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Scanning method: Flexible spatial scan.

<STATISTICS>
 Log likelihood ratio with restriction.
 (Pr{X>x}+0.5*Pr{X=x}<0.200000)

Program run on: Thu Oct 18 21:06:56 2018

Purely Spatial analysis
scanning for clusters with
high rates using the Binomial model.

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SUMMARY OF DATA

Limit length of cluster: 50
Number of census areas.: 281
Total cases ...........: 552
Total population ......: 1057673

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MOST LIKELY CLUSTER

1.Census areas included .: 1, 2, 13, 15, 27, 35, 37, 38, 43, 46, 47, 49, 51, 52, 53
  Maximum distance.......: 0.22483    (areas: 27 to 46)
  Number of cases .......: 79
  Population ............: 69175
  Statistic value .......: 20.8156
  Monte Carlo rank ......: 1/1000
  P-value ...............: 0.001

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SECONDARY CLUSTERS

2.Census areas included .: 89, 90
  Maximum distance.......: 0.125172    (areas: 89 to 90)
  Number of cases .......: 13
  Population ............: 6632
  Statistic value .......: 7.75475
  Monte Carlo rank ......: 325/1000
  P-value ...............: 0.325

3.Census areas included .: 117, 123, 124, 125, 126
  Maximum distance.......: 0.0229766    (areas: 123 to 126)
  Number of cases .......: 19
  Population ............: 13842
  Statistic value .......: 6.73062
  Monte Carlo rank ......: 482/1000
  P-value ...............: 0.482

4.Census areas included .: 111, 119, 216, 217, 219, 220
  Maximum distance.......: 0.0574429    (areas: 119 to 216)
  Number of cases .......: 23
  Population ............: 19822
  Statistic value .......: 5.87477
  Monte Carlo rank ......: 651/1000
  P-value ...............: 0.651

5.Census areas included .: 85, 86, 92, 93
  Maximum distance.......: 0.219323    (areas: 85 to 93)
  Number of cases .......: 24
  Population ............: 21546
  Statistic value .......: 5.59576
  Monte Carlo rank ......: 718/1000
  P-value ...............: 0.718

6.Census areas included .: 120, 131, 132, 139, 150
  Maximum distance.......: 0.0298024    (areas: 120 to 150)
  Number of cases .......: 9
  Population ............: 4982
  Statistic value .......: 4.81671
  Monte Carlo rank ......: 865/1000
  P-value ...............: 0.865

7.Census areas included .: 64, 65, 67
  Maximum distance.......: 0.0249388    (areas: 64 to 65)
  Number of cases .......: 21
  Population ............: 19408
  Statistic value .......: 4.55336
  Monte Carlo rank ......: 907/1000
  P-value ...............: 0.907

8.Census areas included .: 166, 167
  Maximum distance.......: 0.0116182    (areas: 166 to 167)
  Number of cases .......: 9
  Population ............: 5778
  Statistic value .......: 3.89241
  Monte Carlo rank ......: 968/1000
  P-value ...............: 0.968

9.Census areas included .: 265, 266, 281
  Maximum distance.......: 0.0282628    (areas: 265 to 281)
  Number of cases .......: 11
  Population ............: 8063
  Statistic value .......: 3.82302
  Monte Carlo rank ......: 972/1000
  P-value ...............: 0.972

10.Census areas included .: 102, 103, 106
  Maximum distance.......: 0.194769    (areas: 102 to 106)
  Number of cases .......: 11
  Population ............: 9125
  Statistic value .......: 3.00889
  Monte Carlo rank ......: 998/1000
  P-value ...............: 0.998

11.Census areas included .: 5, 12
  Maximum distance.......: 0.0099488    (areas: 5 to 12)
  Number of cases .......: 6
  Population ............: 3618
  Statistic value .......: 2.84269
  Monte Carlo rank ......: 999/1000
  P-value ...............: 0.999

12.Census areas included .: 135, 146, 208, 210
  Maximum distance.......: 0.030934    (areas: 146 to 208)
  Number of cases .......: 12
  Population ............: 10722
  Statistic value .......: 2.79008
  Monte Carlo rank ......: 1000/1000
  P-value ...............: 1

*** There are no more secondary clusters ***

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The statistic value required for an observed
cluster to be significant at level
... 0.01: 14.7126
... 0.05: 11.8923

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PARAMETER SETTINGS

Input Files
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  Case File:        C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\flex_nycases_pop.txt
  Coordinates File: C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\flex_nycoords.txt
  Matrix File:      C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\flex_nyw.mt0

Analysis
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  Type of Analysis     : Purely Spatial
  Probability Model    : Binomial
  <STATISTICS>
   Log likelihood ratio with restriction. (Pr{X>x}+0.5*Pr{X=x}<0.200000)

  Scan for Area with   : High Rates
  Coordinates          : Cartesian

  Number of Replications : 999
  Type of Random number  : Multinomial
  Seed of Random number  : 4586111

Scanning Method
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  Scanning Method :  Flexible scan
  Maximum Spatial Cluster Size : 50 areas

Output
------
  Results File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\flex_binomial.out
  Criteria for Reporting Secondary Clusters : No Geographical Overlap

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Program completed  : Thu Oct 18 21:06:58 2018
Total Running Time : 2 seconds