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Type 'q()' to quit R. > library(testthat) > library(spotoroo) > > test_check("spotoroo") -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `hotspot_cluster()` -- -- "1" time index = 1 hour v Transform observed time > time indexes i 970 time indexes found -- activeTime = 24 time indexes | adjDist = 3000 meters v Cluster i 16 clusters found (including noise) -- minPts = 4 hot spots | minTime = 3 time indexes v Handle noise i 6 clusters left i noise proportion : 0.935 % -- ignitionCenter = "mean" v Compute ignition points for clusters i average hot spots : 176.7 i average duration : 131.9 hours -- Time taken = 0 mins 4 secs for 1070 hot spots i 0.003 secs per hot spot -------------------------------------------------------------------------------- -- "1" time index = 1 hour v Transform observed time > time indexes i 970 time indexes found -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `hotspot_cluster()` -- -- "1" time index = 1 numeric v Transform observed time > time indexes i 970 time indexes found -- activeTime = 24 time indexes | adjDist = 3000 meters v Cluster i 16 clusters found (including noise) -- minPts = 4 hot spots | minTime = 3 time indexes v Handle noise i 6 clusters left i noise proportion : 0.935 % -- ignitionCenter = "mean" v Compute ignition points for clusters i average hot spots : 176.7 i average duration : 131.8 numeric -- Time taken = 0 mins 4 secs for 1070 hot spots i 0.003 secs per hot spot -------------------------------------------------------------------------------- i spotoroo object: 6 clusters | 1070 hot spots (including noise points) -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `summary_spotoroo()` -- CLUSTERS: ALL OBSERVATIONS: 1070 FROM: 1 TO: 970 -- Clusters i Number of clusters: 6 Observations in cluster Min. 1st Qu. Mean 3rd Qu. Max. 111.0 131.0 176.7 233.2 256.0 Duration of cluster (numeric) Min. 1st Qu. Mean 3rd Qu. Max. 111.0 118.0 131.8 146.0 148.0 -- Hot spots (excluding noise) i Number of hot spots: 1060 Distance to ignition points (m) Min. 1st Qu. Mean 3rd Qu. Max. 0.0 2840.3 5159.2 6981.6 13452.7 Time from ignition (numeric) Min. 1st Qu. Mean 3rd Qu. Max. 0.0 25.0 62.3 98.0 148.0 -- Noise i Number of noise points: 10 (0.93 %) -------------------------------------------------------------------------------- -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `summary_spotoroo()` -- CLUSTERS: 1 3 OBSERVATIONS: 282 FROM: 1 TO: 809 -- Clusters i Number of clusters: 2 Observations in cluster Min. 1st Qu. Mean 3rd Qu. Max. 126.0 131.0 136.0 141.0 146.0 Duration of cluster (numeric) Min. 1st Qu. Mean 3rd Qu. Max. 116.0 123.5 131.0 138.5 146.0 -- Hot spots (excluding noise) i Number of hot spots: 272 Distance to ignition points (m) Min. 1st Qu. Mean 3rd Qu. Max. 0.0 2772.3 5058.0 6898.5 13452.7 Time from ignition (numeric) Min. 1st Qu. Mean 3rd Qu. Max. 0.0 17.0 63.1 94.5 146.0 -------------------------------------------------------------------------------- -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `hotspot_cluster()` -- -- "1" time index = 1 hour v Transform observed time > time indexes i 970 time indexes found -- activeTime = 24 time indexes | adjDist = 3000 meters v Cluster i 16 clusters found (including noise) -- minPts = 4 hot spots | minTime = 3 time indexes v Handle noise i 6 clusters left i noise proportion : 0.935 % -- ignitionCenter = "mean" v Compute ignition points for clusters i average hot spots : 176.7 i average duration : 131.9 hours -- Time taken = 0 mins 4 secs for 1070 hot spots i 0.003 secs per hot spot -------------------------------------------------------------------------------- -- "1" time index = 1 hour v Transform observed time > time indexes i 970 time indexes found -------------------------------- SPOTOROO 0.1.4 -------------------------------- -- Calling Core Function : `hotspot_cluster()` -- -- "1" time index = 1 numeric v Transform observed time > time indexes i 970 time indexes found -- activeTime = 24 time indexes | adjDist = 3000 meters v Cluster i 16 clusters found (including noise) -- minPts = 4 hot spots | minTime = 3 time indexes v Handle noise i 6 clusters left i noise proportion : 0.935 % -- ignitionCenter = "mean" v Compute ignition points for clusters i average hot spots : 176.7 i average duration : 131.8 numeric -- Time taken = 0 mins 3 secs for 1070 hot spots i 0.003 secs per hot spot -------------------------------------------------------------------------------- -- "1" time index = 1 numeric v Transform observed time > time indexes i 4 time indexes found -- "1" time index = 1.5 numeric v Transform observed time > time indexes i 3 time indexes found -- "1" time index = 1.5 days v Transform observed time > time indexes i 3 time indexes found -- "1" time index = 24 hours v Transform observed time > time indexes i 4 time indexes found -- "1" time index = 12 hours v Transform observed time > time indexes i 7 time indexes found -- "1" time index = 60 mins v Transform observed time > time indexes i 73 time indexes found -- "1" time index = 3600 secs v Transform observed time > time indexes i 73 time indexes found -- "1" time index = 1.5 days v Transform observed time > time indexes i 3 time indexes found -- "1" time index = 24 hours v Transform observed time > time indexes i 4 time indexes found -- "1" time index = 12 hours v Transform observed time > time indexes i 7 time indexes found -- "1" time index = 60 mins v Transform observed time > time indexes i 73 time indexes found -- "1" time index = 3600 secs v Transform observed time > time indexes i 73 time indexes found [ FAIL 0 | WARN 5 | SKIP 0 | PASS 65 ] [ FAIL 0 | WARN 5 | SKIP 0 | PASS 65 ] > > proc.time() user system elapsed 20.45 0.89 22.09