tests/testthat/_snaps/fn_gpsmart.md
In Sophie-c-h/gpsmartr: Geographic Profiling - Suspect Mapping And Ranking Technique (GP-SMART) in R
output matches expected output for test input using defaults
$suspects_ranked
person_id number_of_nodes max_predicted_probability rank
1 1030244241 1 0.5157062417 1
2 1030089348 1 0.4939549710 2
3 4534672345 33 0.3958916873 3
4 173850511608 1 0.1416219272 4
5 196980184258 2 0.1390946736 5
6 1030091720 1 0.1292343383 6
7 4530209527 2 0.1143928739 7
8 4852668956 1 0.0810405094 8
9 4533773056 1 0.0782941561 9
10 4536448030 1 0.0698307860 10
11 188160010035 1 0.0653614496 11
12 114030006933 1 0.0641948505 12
13 1030276217 1 0.0620994599 13
14 1030114990 1 0.0605384390 14
15 4531569816 1 0.0591653656 15
16 131510001756 1 0.0522463122 16
17 296200179595 1 0.0519185478 17
18 128290251693 2 0.0512955130 18
19 4533224515 1 0.0504539922 19
20 176560162956 1 0.0475171559 20
21 1030287358 1 0.0470321000 21
22 1030095469 1 0.0452976038 22
23 119320015253 1 0.0451302176 23
24 1030181296 1 0.0445715405 24
25 1030277562 2 0.0414445412 25
26 170880812547 1 0.0413013159 26
27 4851350579 1 0.0395547893 27
28 1030162988 1 0.0388148643 28
29 172390408736 1 0.0356885191 29
30 4534062104 1 0.0354895798 30
31 1030246534 1 0.0338876767 31
32 132370307334 2 0.0326749157 32
33 4539635466 1 0.0319625037 33
34 1030208605 1 0.0314491787 34
35 196550003361 1 0.0311371474 35
36 1030312949 1 0.0291364758 36
37 57430084314 1 0.0289729465 37
38 1030181297 1 0.0285736030 38
39 132480114768 1 0.0284740002 39
40 1030203729 1 0.0283745267 40
41 5240350895 1 0.0215475848 41
42 170880360797 2 0.0212555212 42
43 1030192327 1 0.0210661716 43
44 4533255253 2 0.0189494943 44
45 220420354068 1 0.0185503524 45
46 4530835534 2 0.0183963017 46
47 1020277366 1 0.0165727430 47
48 169660076320 1 0.0154819946 48
49 114030457102 1 0.0149001823 49
50 96380361025 1 0.0133550623 50
51 2150241344 1 0.0132390164 51
52 122760669745 1 0.0129522752 52
53 1030194235 1 0.0127304403 53
54 71300887780 1 0.0122568450 54
55 288020080977 1 0.0115186811 55
56 114030351716 1 0.0111004465 56
57 1020240829 1 0.0101546174 57
58 103650093289 1 0.0101441307 58
59 4850207763 1 0.0097328965 59
60 1030313285 1 0.0095837662 60
61 206510103542 1 0.0094934755 61
62 22390637562 1 0.0091430681 62
63 152050449955 1 0.0088395794 63
64 11800136325 1 0.0087539370 64
65 114030181502 1 0.0082924366 65
66 173850238723 1 0.0082542091 66
67 42010010630 2 0.0079009551 67
68 4538107794 1 0.0077480873 68
69 4533482166 1 0.0076313517 69
70 1030240877 1 0.0075644117 70
71 173850021830 1 0.0075532262 71
72 1030193722 1 0.0074812632 72
73 132480095402 1 0.0073228861 73
74 4532934519 1 0.0072973067 74
75 1020189656 1 0.0071884836 75
76 214290012786 1 0.0069720768 76
77 1030266972 1 0.0069162858 77
78 217610045006 1 0.0068691450 78
79 87930003988 1 0.0063713705 79
80 35900049455 1 0.0062537258 80
81 4850872531 1 0.0062185539 81
82 4534074035 1 0.0061948076 82
83 106930000650 1 0.0059917274 83
84 18280015378 1 0.0058899644 84
85 1030066309 1 0.0054505319 85
86 4539171988 2 0.0052979875 86
87 1030016264 1 0.0051574335 87
88 4539096298 1 0.0049375714 88
89 4538447889 1 0.0047423677 89
90 173820480215 1 0.0045854422 90
91 4535959106 1 0.0045462136 91
92 1020172884 1 0.0045423532 92
93 11700007186 1 0.0044907282 93
94 1030246350 1 0.0041428358 94
95 114140034649 1 0.0039191607 95
96 46200190698 1 0.0036579027 96
97 1030304531 1 0.0035509495 97
98 1020092968 1 0.0035330573 98
99 109540000759 1 0.0034772612 99
100 1030112117 1 0.0034371792 100
101 104860012944 1 0.0033081904 101
102 4533267066 1 0.0030280449 102
103 4536792087 1 0.0029464870 103
104 4532723387 1 0.0025866770 104
105 8140441591 1 0.0023889300 105
106 132370179735 1 0.0021482966 106
107 160840001544 1 0.0018910123 107
108 4531481000 2 0.0017212719 108
109 170100044340 1 0.0015220822 109
110 128290292245 1 0.0013537908 110
111 4535967852 1 0.0011201888 111
112 4531393638 1 0.0008741085 112
113 1020286468 1 0.0008063063 113
114 1030272315 1 0.0007326030 114
115 1030249872 1 0.0007301952 115
116 4534605521 1 0.0005740320 116
117 4536647163 1 0.0004790986 117
$node_predictions
person_id offence season_sim weekpart_sim daypart_sim loc_sim beh_sim
1: 1030244241 resburg 1 1 1 1 0
2: 1030089348 resburg 1 1 1 1 0
3: 4534672345 resburg 1 1 1 1 0
4: 4534672345 resburg 1 1 1 1 0
5: 4534672345 resburg 1 1 1 1 0
---
156: 1020286468 resburg 0 0 0 0 0
157: 1030272315 resburg 0 0 0 0 0
158: 1030249872 resburg 0 1 0 0 0
159: 4534605521 resburg 0 1 0 0 0
160: 4536647163 resburg 0 1 0 0 0
duration recency frequency x y node_category
1: dur_over5y rec_1to2d freq_weekly 1763094 5431220 span
2: dur_over5y rec_1to2d freq_weekly 1761833 5431169 span
3: dur_1to12m rec_over5y freq_weekly 1762525 5430072 span
4: dur_over5y rec_1to2d freq_weekly 1760809 5434703 span
5: dur_1to12m rec_1to12m freq_weekly 1758592 5434055 span
---
156: dur_1to2d rec_over5y freq_weekly 1762461 5437463 event
157: dur_1to2d rec_over5y freq_weekly 1761563 5438089 event
158: dur_1to2d rec_over5y freq_weekly 1759984 5434881 event
159: dur_1to2d rec_over5y freq_weekly 1760087 5436445 event
160: dur_1to2d rec_1to5y freq_weekly 1764303 5439767 event
node_type dist min_span_start_date max_span_end_date
1: home 0.8172227 1996-06-01 2019-01-01
2: home 0.8915296 2004-04-14 2019-01-01
3: home 0.5501309 2004-07-13 2004-11-29
4: home 4.4317654 2004-09-14 2019-01-01
5: home 5.2295807 2011-03-10 2011-10-14
---
156: offence 6.8414221 <NA> <NA>
157: police_other 7.5302566 <NA> <NA>
158: police_other 4.9655705 <NA> <NA>
159: police_other 6.3174227 <NA> <NA>
160: incident 9.3139562 <NA> <NA>
min_event_random_date max_event_random_date min_event_start_date
1: <NA> <NA> <NA>
2: <NA> <NA> <NA>
3: <NA> <NA> <NA>
4: <NA> <NA> <NA>
5: <NA> <NA> <NA>
---
156: 2006-01-31 2006-01-31 2006-01-31
157: 2001-11-13 2001-11-13 2001-11-13
158: 2003-09-14 2003-09-14 2003-09-14
159: 2000-01-02 2000-01-02 2000-01-02
160: 2009-04-26 2009-04-26 2009-04-26
max_event_end_date weight_value_frequency weight_value_recency
1: <NA> 5.358234 2.8949401
2: <NA> 5.358234 2.8949401
3: <NA> 5.358234 0.7987174
4: <NA> 5.358234 2.8949401
5: <NA> 5.358234 1.6976344
---
156: 2006-01-31 5.358234 0.7987174
157: 2001-11-13 5.358234 0.7987174
158: 2003-09-14 5.358234 0.7987174
159: 2000-01-02 5.358234 0.7987174
160: 2009-04-26 5.358234 0.9827317
weight_value_duration weight_value_beh_sim weight_value_loc_sim
1: 0.7744218 1 4.748557
2: 0.7744218 1 4.748557
3: 1.1628338 1 4.748557
4: 0.7744218 1 4.748557
5: 1.1628338 1 4.748557
---
156: 1.2899768 1 1.000000
157: 1.2899768 1 1.000000
158: 1.2899768 1 1.000000
159: 1.2899768 1 1.000000
160: 1.2899768 1 1.000000
weight_value_daypart_sim weight_value_weekpart_sim weight_value_season_sim
1: 10.58266 0.657247 2.19336
2: 10.58266 0.657247 2.19336
3: 10.58266 0.657247 2.19336
4: 10.58266 0.657247 2.19336
5: 10.58266 0.657247 2.19336
---
156: 1.00000 1.000000 1.00000
157: 1.00000 1.000000 1.00000
158: 1.00000 0.657247 1.00000
159: 1.00000 0.657247 1.00000
160: 1.00000 0.657247 1.00000
predicted_probability suspect_rank
1: 0.5157062417 1
2: 0.4939549710 2
3: 0.3958916873 3
4: 0.1641325140 3
5: 0.1277992178 3
---
156: 0.0008063063 113
157: 0.0007326030 114
158: 0.0007301952 115
159: 0.0005740320 116
160: 0.0004790986 117
$input_crime
case_id_ic offence_type_ic x_ic y_ic start_date_ic
1: 4534672345 255630007959 burglary 1762537 5430622 2012-06-07
end_date_ic start_time_ic end_time_ic location_type_ic offence_subtype_ic
1: 2012-06-08 20:30:00 08:27:00 residential resburg
daypart_ic weekpart_ic spring_ic summer_ic autumn_ic winter_ic
1: night weekend 0 0 0 1
$search_radius
[1] 10
Sophie-c-h/gpsmartr documentation built on April 13, 2022, 5:51 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
output matches expected output for test input using defaults
$suspects_ranked
person_id number_of_nodes max_predicted_probability rank
1 1030244241 1 0.5157062417 1
2 1030089348 1 0.4939549710 2
3 4534672345 33 0.3958916873 3
4 173850511608 1 0.1416219272 4
5 196980184258 2 0.1390946736 5
6 1030091720 1 0.1292343383 6
7 4530209527 2 0.1143928739 7
8 4852668956 1 0.0810405094 8
9 4533773056 1 0.0782941561 9
10 4536448030 1 0.0698307860 10
11 188160010035 1 0.0653614496 11
12 114030006933 1 0.0641948505 12
13 1030276217 1 0.0620994599 13
14 1030114990 1 0.0605384390 14
15 4531569816 1 0.0591653656 15
16 131510001756 1 0.0522463122 16
17 296200179595 1 0.0519185478 17
18 128290251693 2 0.0512955130 18
19 4533224515 1 0.0504539922 19
20 176560162956 1 0.0475171559 20
21 1030287358 1 0.0470321000 21
22 1030095469 1 0.0452976038 22
23 119320015253 1 0.0451302176 23
24 1030181296 1 0.0445715405 24
25 1030277562 2 0.0414445412 25
26 170880812547 1 0.0413013159 26
27 4851350579 1 0.0395547893 27
28 1030162988 1 0.0388148643 28
29 172390408736 1 0.0356885191 29
30 4534062104 1 0.0354895798 30
31 1030246534 1 0.0338876767 31
32 132370307334 2 0.0326749157 32
33 4539635466 1 0.0319625037 33
34 1030208605 1 0.0314491787 34
35 196550003361 1 0.0311371474 35
36 1030312949 1 0.0291364758 36
37 57430084314 1 0.0289729465 37
38 1030181297 1 0.0285736030 38
39 132480114768 1 0.0284740002 39
40 1030203729 1 0.0283745267 40
41 5240350895 1 0.0215475848 41
42 170880360797 2 0.0212555212 42
43 1030192327 1 0.0210661716 43
44 4533255253 2 0.0189494943 44
45 220420354068 1 0.0185503524 45
46 4530835534 2 0.0183963017 46
47 1020277366 1 0.0165727430 47
48 169660076320 1 0.0154819946 48
49 114030457102 1 0.0149001823 49
50 96380361025 1 0.0133550623 50
51 2150241344 1 0.0132390164 51
52 122760669745 1 0.0129522752 52
53 1030194235 1 0.0127304403 53
54 71300887780 1 0.0122568450 54
55 288020080977 1 0.0115186811 55
56 114030351716 1 0.0111004465 56
57 1020240829 1 0.0101546174 57
58 103650093289 1 0.0101441307 58
59 4850207763 1 0.0097328965 59
60 1030313285 1 0.0095837662 60
61 206510103542 1 0.0094934755 61
62 22390637562 1 0.0091430681 62
63 152050449955 1 0.0088395794 63
64 11800136325 1 0.0087539370 64
65 114030181502 1 0.0082924366 65
66 173850238723 1 0.0082542091 66
67 42010010630 2 0.0079009551 67
68 4538107794 1 0.0077480873 68
69 4533482166 1 0.0076313517 69
70 1030240877 1 0.0075644117 70
71 173850021830 1 0.0075532262 71
72 1030193722 1 0.0074812632 72
73 132480095402 1 0.0073228861 73
74 4532934519 1 0.0072973067 74
75 1020189656 1 0.0071884836 75
76 214290012786 1 0.0069720768 76
77 1030266972 1 0.0069162858 77
78 217610045006 1 0.0068691450 78
79 87930003988 1 0.0063713705 79
80 35900049455 1 0.0062537258 80
81 4850872531 1 0.0062185539 81
82 4534074035 1 0.0061948076 82
83 106930000650 1 0.0059917274 83
84 18280015378 1 0.0058899644 84
85 1030066309 1 0.0054505319 85
86 4539171988 2 0.0052979875 86
87 1030016264 1 0.0051574335 87
88 4539096298 1 0.0049375714 88
89 4538447889 1 0.0047423677 89
90 173820480215 1 0.0045854422 90
91 4535959106 1 0.0045462136 91
92 1020172884 1 0.0045423532 92
93 11700007186 1 0.0044907282 93
94 1030246350 1 0.0041428358 94
95 114140034649 1 0.0039191607 95
96 46200190698 1 0.0036579027 96
97 1030304531 1 0.0035509495 97
98 1020092968 1 0.0035330573 98
99 109540000759 1 0.0034772612 99
100 1030112117 1 0.0034371792 100
101 104860012944 1 0.0033081904 101
102 4533267066 1 0.0030280449 102
103 4536792087 1 0.0029464870 103
104 4532723387 1 0.0025866770 104
105 8140441591 1 0.0023889300 105
106 132370179735 1 0.0021482966 106
107 160840001544 1 0.0018910123 107
108 4531481000 2 0.0017212719 108
109 170100044340 1 0.0015220822 109
110 128290292245 1 0.0013537908 110
111 4535967852 1 0.0011201888 111
112 4531393638 1 0.0008741085 112
113 1020286468 1 0.0008063063 113
114 1030272315 1 0.0007326030 114
115 1030249872 1 0.0007301952 115
116 4534605521 1 0.0005740320 116
117 4536647163 1 0.0004790986 117
$node_predictions
person_id offence season_sim weekpart_sim daypart_sim loc_sim beh_sim
1: 1030244241 resburg 1 1 1 1 0
2: 1030089348 resburg 1 1 1 1 0
3: 4534672345 resburg 1 1 1 1 0
4: 4534672345 resburg 1 1 1 1 0
5: 4534672345 resburg 1 1 1 1 0
---
156: 1020286468 resburg 0 0 0 0 0
157: 1030272315 resburg 0 0 0 0 0
158: 1030249872 resburg 0 1 0 0 0
159: 4534605521 resburg 0 1 0 0 0
160: 4536647163 resburg 0 1 0 0 0
duration recency frequency x y node_category
1: dur_over5y rec_1to2d freq_weekly 1763094 5431220 span
2: dur_over5y rec_1to2d freq_weekly 1761833 5431169 span
3: dur_1to12m rec_over5y freq_weekly 1762525 5430072 span
4: dur_over5y rec_1to2d freq_weekly 1760809 5434703 span
5: dur_1to12m rec_1to12m freq_weekly 1758592 5434055 span
---
156: dur_1to2d rec_over5y freq_weekly 1762461 5437463 event
157: dur_1to2d rec_over5y freq_weekly 1761563 5438089 event
158: dur_1to2d rec_over5y freq_weekly 1759984 5434881 event
159: dur_1to2d rec_over5y freq_weekly 1760087 5436445 event
160: dur_1to2d rec_1to5y freq_weekly 1764303 5439767 event
node_type dist min_span_start_date max_span_end_date
1: home 0.8172227 1996-06-01 2019-01-01
2: home 0.8915296 2004-04-14 2019-01-01
3: home 0.5501309 2004-07-13 2004-11-29
4: home 4.4317654 2004-09-14 2019-01-01
5: home 5.2295807 2011-03-10 2011-10-14
---
156: offence 6.8414221 <NA> <NA>
157: police_other 7.5302566 <NA> <NA>
158: police_other 4.9655705 <NA> <NA>
159: police_other 6.3174227 <NA> <NA>
160: incident 9.3139562 <NA> <NA>
min_event_random_date max_event_random_date min_event_start_date
1: <NA> <NA> <NA>
2: <NA> <NA> <NA>
3: <NA> <NA> <NA>
4: <NA> <NA> <NA>
5: <NA> <NA> <NA>
---
156: 2006-01-31 2006-01-31 2006-01-31
157: 2001-11-13 2001-11-13 2001-11-13
158: 2003-09-14 2003-09-14 2003-09-14
159: 2000-01-02 2000-01-02 2000-01-02
160: 2009-04-26 2009-04-26 2009-04-26
max_event_end_date weight_value_frequency weight_value_recency
1: <NA> 5.358234 2.8949401
2: <NA> 5.358234 2.8949401
3: <NA> 5.358234 0.7987174
4: <NA> 5.358234 2.8949401
5: <NA> 5.358234 1.6976344
---
156: 2006-01-31 5.358234 0.7987174
157: 2001-11-13 5.358234 0.7987174
158: 2003-09-14 5.358234 0.7987174
159: 2000-01-02 5.358234 0.7987174
160: 2009-04-26 5.358234 0.9827317
weight_value_duration weight_value_beh_sim weight_value_loc_sim
1: 0.7744218 1 4.748557
2: 0.7744218 1 4.748557
3: 1.1628338 1 4.748557
4: 0.7744218 1 4.748557
5: 1.1628338 1 4.748557
---
156: 1.2899768 1 1.000000
157: 1.2899768 1 1.000000
158: 1.2899768 1 1.000000
159: 1.2899768 1 1.000000
160: 1.2899768 1 1.000000
weight_value_daypart_sim weight_value_weekpart_sim weight_value_season_sim
1: 10.58266 0.657247 2.19336
2: 10.58266 0.657247 2.19336
3: 10.58266 0.657247 2.19336
4: 10.58266 0.657247 2.19336
5: 10.58266 0.657247 2.19336
---
156: 1.00000 1.000000 1.00000
157: 1.00000 1.000000 1.00000
158: 1.00000 0.657247 1.00000
159: 1.00000 0.657247 1.00000
160: 1.00000 0.657247 1.00000
predicted_probability suspect_rank
1: 0.5157062417 1
2: 0.4939549710 2
3: 0.3958916873 3
4: 0.1641325140 3
5: 0.1277992178 3
---
156: 0.0008063063 113
157: 0.0007326030 114
158: 0.0007301952 115
159: 0.0005740320 116
160: 0.0004790986 117
$input_crime
case_id_ic offence_type_ic x_ic y_ic start_date_ic
1: 4534672345 255630007959 burglary 1762537 5430622 2012-06-07
end_date_ic start_time_ic end_time_ic location_type_ic offence_subtype_ic
1: 2012-06-08 20:30:00 08:27:00 residential resburg
daypart_ic weekpart_ic spring_ic summer_ic autumn_ic winter_ic
1: night weekend 0 0 0 1
$search_radius
[1] 10
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.