Nothing
tests/testthat/_snaps/model.md
In quollr: Visualising How Nonlinear Dimension Reduction Warps Your Data
fit_highd_model() works
Code
fit_highd_model(highd_data = scurve, nldr_data = scurve_umap, b1 = 4, q = 0.1,
benchmark_highdens = 5)
Message
v Model generated successfully!!!
Output
$nldr_obj
$nldr_obj$scaled_nldr
# A tibble: 1,000 x 3
emb1 emb2 ID
<dbl> <dbl> <int>
1 0.277 0.913 1
2 0.697 0.538 2
3 0.779 0.399 3
4 0.173 0.953 4
5 0.218 0.983 5
6 0.593 1.05 6
7 0.180 0.210 7
8 0.976 0.571 8
9 0.803 0.829 9
10 0.932 0.410 10
# i 990 more rows
$nldr_obj$lim1
[1] -9.146398 8.552211
$nldr_obj$lim2
[1] -10.36686 10.10691
$hb_obj
$a1
[1] 0.3962013
$a2
[1] 0.3431204
$bins
[1] 4 5
$start_point
[1] -0.1000000 -0.1156801
$centroids
# A tibble: 20 x 3
h c_x c_y
<int> <dbl> <dbl>
1 1 -0.1 -0.116
2 2 0.296 -0.116
3 3 0.692 -0.116
4 4 1.09 -0.116
5 5 0.0981 0.227
6 6 0.494 0.227
7 7 0.891 0.227
8 8 1.29 0.227
9 9 -0.1 0.571
10 10 0.296 0.571
11 11 0.692 0.571
12 12 1.09 0.571
13 13 0.0981 0.914
14 14 0.494 0.914
15 15 0.891 0.914
16 16 1.29 0.914
17 17 -0.1 1.26
18 18 0.296 1.26
19 19 0.692 1.26
20 20 1.09 1.26
$hex_poly
h x y
1 1 -0.10000000 0.113066785
2 1 -0.29810065 -0.001306679
3 1 -0.29810065 -0.230053606
4 1 -0.10000000 -0.344427070
5 1 0.09810065 -0.230053606
6 1 0.09810065 -0.001306679
7 2 0.29620130 0.113066785
8 2 0.09810065 -0.001306679
9 2 0.09810065 -0.230053606
10 2 0.29620130 -0.344427070
11 2 0.49430195 -0.230053606
12 2 0.49430195 -0.001306679
13 3 0.69240260 0.113066785
14 3 0.49430195 -0.001306679
15 3 0.49430195 -0.230053606
16 3 0.69240260 -0.344427070
17 3 0.89050325 -0.230053606
18 3 0.89050325 -0.001306679
19 4 1.08860390 0.113066785
20 4 0.89050325 -0.001306679
21 4 0.89050325 -0.230053606
22 4 1.08860390 -0.344427070
23 4 1.28670455 -0.230053606
24 4 1.28670455 -0.001306679
25 5 0.09810065 0.456187177
26 5 -0.10000000 0.341813713
27 5 -0.10000000 0.113066785
28 5 0.09810065 -0.001306679
29 5 0.29620130 0.113066785
30 5 0.29620130 0.341813713
31 6 0.49430195 0.456187177
32 6 0.29620130 0.341813713
33 6 0.29620130 0.113066785
34 6 0.49430195 -0.001306679
35 6 0.69240260 0.113066785
36 6 0.69240260 0.341813713
37 7 0.89050325 0.456187177
38 7 0.69240260 0.341813713
39 7 0.69240260 0.113066785
40 7 0.89050325 -0.001306679
41 7 1.08860390 0.113066785
42 7 1.08860390 0.341813713
43 8 1.28670455 0.456187177
44 8 1.08860390 0.341813713
45 8 1.08860390 0.113066785
46 8 1.28670455 -0.001306679
47 8 1.48480520 0.113066785
48 8 1.48480520 0.341813713
49 9 -0.10000000 0.799307568
50 9 -0.29810065 0.684934104
51 9 -0.29810065 0.456187177
52 9 -0.10000000 0.341813713
53 9 0.09810065 0.456187177
54 9 0.09810065 0.684934104
55 10 0.29620130 0.799307568
56 10 0.09810065 0.684934104
57 10 0.09810065 0.456187177
58 10 0.29620130 0.341813713
59 10 0.49430195 0.456187177
60 10 0.49430195 0.684934104
61 11 0.69240260 0.799307568
62 11 0.49430195 0.684934104
63 11 0.49430195 0.456187177
64 11 0.69240260 0.341813713
65 11 0.89050325 0.456187177
66 11 0.89050325 0.684934104
67 12 1.08860390 0.799307568
68 12 0.89050325 0.684934104
69 12 0.89050325 0.456187177
70 12 1.08860390 0.341813713
71 12 1.28670455 0.456187177
72 12 1.28670455 0.684934104
73 13 0.09810065 1.142427959
74 13 -0.10000000 1.028054495
75 13 -0.10000000 0.799307568
76 13 0.09810065 0.684934104
77 13 0.29620130 0.799307568
78 13 0.29620130 1.028054495
79 14 0.49430195 1.142427959
80 14 0.29620130 1.028054495
81 14 0.29620130 0.799307568
82 14 0.49430195 0.684934104
83 14 0.69240260 0.799307568
84 14 0.69240260 1.028054495
85 15 0.89050325 1.142427959
86 15 0.69240260 1.028054495
87 15 0.69240260 0.799307568
88 15 0.89050325 0.684934104
89 15 1.08860390 0.799307568
90 15 1.08860390 1.028054495
91 16 1.28670455 1.142427959
92 16 1.08860390 1.028054495
93 16 1.08860390 0.799307568
94 16 1.28670455 0.684934104
95 16 1.48480520 0.799307568
96 16 1.48480520 1.028054495
97 17 -0.10000000 1.485548350
98 17 -0.29810065 1.371174887
99 17 -0.29810065 1.142427959
100 17 -0.10000000 1.028054495
101 17 0.09810065 1.142427959
102 17 0.09810065 1.371174887
103 18 0.29620130 1.485548350
104 18 0.09810065 1.371174887
105 18 0.09810065 1.142427959
106 18 0.29620130 1.028054495
107 18 0.49430195 1.142427959
108 18 0.49430195 1.371174887
109 19 0.69240260 1.485548350
110 19 0.49430195 1.371174887
111 19 0.49430195 1.142427959
112 19 0.69240260 1.028054495
113 19 0.89050325 1.142427959
114 19 0.89050325 1.371174887
115 20 1.08860390 1.485548350
116 20 0.89050325 1.371174887
117 20 0.89050325 1.142427959
118 20 1.08860390 1.028054495
119 20 1.28670455 1.142427959
120 20 1.28670455 1.371174887
$data_hb_id
# A tibble: 1,000 x 4
emb1 emb2 ID h
<dbl> <dbl> <int> <int>
1 0.277 0.913 1 13
2 0.697 0.538 2 11
3 0.779 0.399 3 11
4 0.173 0.953 4 13
5 0.218 0.983 5 13
6 0.593 1.05 6 14
7 0.180 0.210 7 5
8 0.976 0.571 8 12
9 0.803 0.829 9 15
10 0.932 0.410 10 7
# i 990 more rows
$std_cts
# A tibble: 13 x 3
h n_h w_h
<int> <int> <dbl>
1 2 30 0.03
2 3 14 0.014
3 5 75 0.075
4 6 137 0.137
5 7 132 0.132
6 10 12 0.012
7 11 132 0.132
8 12 37 0.037
9 13 140 0.14
10 14 176 0.176
11 15 67 0.067
12 17 4 0.004
13 18 44 0.044
$b
[1] 20
$m
[1] 13
$pts_bins
# A tibble: 13 x 2
h pts_list
<int> <list>
1 2 <int [30]>
2 3 <int [14]>
3 5 <int [75]>
4 6 <int [137]>
5 7 <int [132]>
6 10 <int [12]>
7 11 <int [132]>
8 12 <int [37]>
9 13 <int [140]>
10 14 <int [176]>
11 15 <int [67]>
12 17 <int [4]>
13 18 <int [44]>
attr(,"class")
[1] "hex_bin_obj"
$model_highd
# A tibble: 12 x 8
h x1 x2 x3 x4 x5 x6 x7
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2 0.621 0.145 1.73 0.000811 0.00129 -0.0148 -0.00142
2 3 -0.472 1.60 1.87 -0.00204 0.00591 0.0136 0.00319
3 5 0.874 1.07 1.42 -0.00307 0.00218 -0.00370 0.000263
4 6 -0.185 0.655 1.82 -0.00151 0.00135 0.00135 0.00123
5 7 -0.890 1.29 1.04 0.000368 0.000266 0.00151 0.000278
6 10 0.279 0.713 -0.722 0.00382 -0.00440 -0.0265 0.00181
7 11 0.145 0.537 -0.0960 -0.000434 0.000514 0.00394 0.000941
8 12 -0.132 1.68 0.0457 0.00109 -0.000500 -0.0108 -0.00110
9 13 -0.686 0.824 -1.57 0.000626 -0.000342 0.00253 0.000273
10 14 0.620 1.02 -1.63 -0.000149 -0.000135 -0.00418 -0.000195
11 15 0.833 1.54 -0.553 0.000130 0.000263 0.00686 0.0000105
12 18 -0.345 1.77 -1.85 0.00135 0.00260 -0.0106 0.000976
$model_2d
h c_x c_y n_h w_h
1 2 0.29620130 -0.1156801 30 0.030
2 3 0.69240260 -0.1156801 14 0.014
3 5 0.09810065 0.2274402 75 0.075
4 6 0.49430195 0.2274402 137 0.137
5 7 0.89050325 0.2274402 132 0.132
6 10 0.29620130 0.5705606 12 0.012
7 11 0.69240260 0.5705606 132 0.132
8 12 1.08860390 0.5705606 37 0.037
9 13 0.09810065 0.9136810 140 0.140
10 14 0.49430195 0.9136810 176 0.176
11 15 0.89050325 0.9136810 67 0.067
12 18 0.29620130 1.2568014 44 0.044
$trimesh_data
# A tibble: 23 x 8
from to x_from y_from x_to y_to from_count to_count
<int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 3 4 0.0981 0.227 0.494 0.227 75 137
2 3 6 0.0981 0.227 0.296 0.571 75 12
3 2 4 0.692 -0.116 0.494 0.227 14 137
4 4 5 0.494 0.227 0.891 0.227 137 132
5 4 7 0.494 0.227 0.692 0.571 137 132
6 6 10 0.296 0.571 0.494 0.914 12 176
7 6 7 0.296 0.571 0.692 0.571 12 132
8 7 8 0.692 0.571 1.09 0.571 132 37
9 7 11 0.692 0.571 0.891 0.914 132 67
10 9 12 0.0981 0.914 0.296 1.26 140 44
# i 13 more rows
Code
fit_highd_model(highd_data = scurve, nldr_data = scurve_umap, b1 = 15, q = 0.1,
benchmark_highdens = 5)
Message
v Model generated successfully!!!
Output
$nldr_obj
$nldr_obj$scaled_nldr
# A tibble: 1,000 x 3
emb1 emb2 ID
<dbl> <dbl> <int>
1 0.277 0.913 1
2 0.697 0.538 2
3 0.779 0.399 3
4 0.173 0.953 4
5 0.218 0.983 5
6 0.593 1.05 6
7 0.180 0.210 7
8 0.976 0.571 8
9 0.803 0.829 9
10 0.932 0.410 10
# i 990 more rows
$nldr_obj$lim1
[1] -9.146398 8.552211
$nldr_obj$lim2
[1] -10.36686 10.10691
$hb_obj
$a1
[1] 0.0834108
$a2
[1] 0.07223587
$bins
[1] 15 20
$start_point
[1] -0.1000000 -0.1156801
$centroids
# A tibble: 300 x 3
h c_x c_y
<int> <dbl> <dbl>
1 1 -0.1 -0.116
2 2 -0.0166 -0.116
3 3 0.0668 -0.116
4 4 0.150 -0.116
5 5 0.234 -0.116
6 6 0.317 -0.116
7 7 0.400 -0.116
8 8 0.484 -0.116
9 9 0.567 -0.116
10 10 0.651 -0.116
# i 290 more rows
$hex_poly
h x y
1 1 -0.1000000 -0.067522894
2 1 -0.1417054 -0.091601518
3 1 -0.1417054 -0.139758766
4 1 -0.1000000 -0.163837390
5 1 -0.0582946 -0.139758766
6 1 -0.0582946 -0.091601518
7 2 -0.0165892 -0.067522894
8 2 -0.0582946 -0.091601518
9 2 -0.0582946 -0.139758766
10 2 -0.0165892 -0.163837390
11 2 0.0251162 -0.139758766
12 2 0.0251162 -0.091601518
13 3 0.0668216 -0.067522894
14 3 0.0251162 -0.091601518
15 3 0.0251162 -0.139758766
16 3 0.0668216 -0.163837390
17 3 0.1085270 -0.139758766
18 3 0.1085270 -0.091601518
19 4 0.1502324 -0.067522894
20 4 0.1085270 -0.091601518
21 4 0.1085270 -0.139758766
22 4 0.1502324 -0.163837390
23 4 0.1919378 -0.139758766
24 4 0.1919378 -0.091601518
25 5 0.2336432 -0.067522894
26 5 0.1919378 -0.091601518
27 5 0.1919378 -0.139758766
28 5 0.2336432 -0.163837390
29 5 0.2753486 -0.139758766
30 5 0.2753486 -0.091601518
31 6 0.3170540 -0.067522894
32 6 0.2753486 -0.091601518
33 6 0.2753486 -0.139758766
34 6 0.3170540 -0.163837390
35 6 0.3587594 -0.139758766
36 6 0.3587594 -0.091601518
37 7 0.4004648 -0.067522894
38 7 0.3587594 -0.091601518
39 7 0.3587594 -0.139758766
40 7 0.4004648 -0.163837390
41 7 0.4421702 -0.139758766
42 7 0.4421702 -0.091601518
43 8 0.4838756 -0.067522894
44 8 0.4421702 -0.091601518
45 8 0.4421702 -0.139758766
46 8 0.4838756 -0.163837390
47 8 0.5255810 -0.139758766
48 8 0.5255810 -0.091601518
49 9 0.5672864 -0.067522894
50 9 0.5255810 -0.091601518
51 9 0.5255810 -0.139758766
52 9 0.5672864 -0.163837390
53 9 0.6089918 -0.139758766
54 9 0.6089918 -0.091601518
55 10 0.6506972 -0.067522894
56 10 0.6089918 -0.091601518
57 10 0.6089918 -0.139758766
58 10 0.6506972 -0.163837390
59 10 0.6924026 -0.139758766
60 10 0.6924026 -0.091601518
61 11 0.7341080 -0.067522894
62 11 0.6924026 -0.091601518
63 11 0.6924026 -0.139758766
64 11 0.7341080 -0.163837390
65 11 0.7758134 -0.139758766
66 11 0.7758134 -0.091601518
67 12 0.8175188 -0.067522894
68 12 0.7758134 -0.091601518
69 12 0.7758134 -0.139758766
70 12 0.8175188 -0.163837390
71 12 0.8592242 -0.139758766
72 12 0.8592242 -0.091601518
73 13 0.9009296 -0.067522894
74 13 0.8592242 -0.091601518
75 13 0.8592242 -0.139758766
76 13 0.9009296 -0.163837390
77 13 0.9426350 -0.139758766
78 13 0.9426350 -0.091601518
79 14 0.9843404 -0.067522894
80 14 0.9426350 -0.091601518
81 14 0.9426350 -0.139758766
82 14 0.9843404 -0.163837390
83 14 1.0260458 -0.139758766
84 14 1.0260458 -0.091601518
85 15 1.0677512 -0.067522894
86 15 1.0260458 -0.091601518
87 15 1.0260458 -0.139758766
88 15 1.0677512 -0.163837390
89 15 1.1094566 -0.139758766
90 15 1.1094566 -0.091601518
91 16 -0.0582946 0.004712977
92 16 -0.1000000 -0.019365646
93 16 -0.1000000 -0.067522894
94 16 -0.0582946 -0.091601518
95 16 -0.0165892 -0.067522894
96 16 -0.0165892 -0.019365646
97 17 0.0251162 0.004712977
98 17 -0.0165892 -0.019365646
99 17 -0.0165892 -0.067522894
100 17 0.0251162 -0.091601518
101 17 0.0668216 -0.067522894
102 17 0.0668216 -0.019365646
103 18 0.1085270 0.004712977
104 18 0.0668216 -0.019365646
105 18 0.0668216 -0.067522894
106 18 0.1085270 -0.091601518
107 18 0.1502324 -0.067522894
108 18 0.1502324 -0.019365646
109 19 0.1919378 0.004712977
110 19 0.1502324 -0.019365646
111 19 0.1502324 -0.067522894
112 19 0.1919378 -0.091601518
113 19 0.2336432 -0.067522894
114 19 0.2336432 -0.019365646
115 20 0.2753486 0.004712977
116 20 0.2336432 -0.019365646
117 20 0.2336432 -0.067522894
118 20 0.2753486 -0.091601518
119 20 0.3170540 -0.067522894
120 20 0.3170540 -0.019365646
121 21 0.3587594 0.004712977
122 21 0.3170540 -0.019365646
123 21 0.3170540 -0.067522894
124 21 0.3587594 -0.091601518
125 21 0.4004648 -0.067522894
126 21 0.4004648 -0.019365646
127 22 0.4421702 0.004712977
128 22 0.4004648 -0.019365646
129 22 0.4004648 -0.067522894
130 22 0.4421702 -0.091601518
131 22 0.4838756 -0.067522894
132 22 0.4838756 -0.019365646
133 23 0.5255810 0.004712977
134 23 0.4838756 -0.019365646
135 23 0.4838756 -0.067522894
136 23 0.5255810 -0.091601518
137 23 0.5672864 -0.067522894
138 23 0.5672864 -0.019365646
139 24 0.6089918 0.004712977
140 24 0.5672864 -0.019365646
141 24 0.5672864 -0.067522894
142 24 0.6089918 -0.091601518
143 24 0.6506972 -0.067522894
144 24 0.6506972 -0.019365646
145 25 0.6924026 0.004712977
146 25 0.6506972 -0.019365646
147 25 0.6506972 -0.067522894
148 25 0.6924026 -0.091601518
149 25 0.7341080 -0.067522894
150 25 0.7341080 -0.019365646
151 26 0.7758134 0.004712977
152 26 0.7341080 -0.019365646
153 26 0.7341080 -0.067522894
154 26 0.7758134 -0.091601518
155 26 0.8175188 -0.067522894
156 26 0.8175188 -0.019365646
157 27 0.8592242 0.004712977
158 27 0.8175188 -0.019365646
159 27 0.8175188 -0.067522894
160 27 0.8592242 -0.091601518
161 27 0.9009296 -0.067522894
162 27 0.9009296 -0.019365646
163 28 0.9426350 0.004712977
164 28 0.9009296 -0.019365646
165 28 0.9009296 -0.067522894
166 28 0.9426350 -0.091601518
167 28 0.9843404 -0.067522894
168 28 0.9843404 -0.019365646
169 29 1.0260458 0.004712977
170 29 0.9843404 -0.019365646
171 29 0.9843404 -0.067522894
172 29 1.0260458 -0.091601518
173 29 1.0677512 -0.067522894
174 29 1.0677512 -0.019365646
175 30 1.1094566 0.004712977
176 30 1.0677512 -0.019365646
177 30 1.0677512 -0.067522894
178 30 1.1094566 -0.091601518
179 30 1.1511620 -0.067522894
180 30 1.1511620 -0.019365646
181 31 -0.1000000 0.076948849
182 31 -0.1417054 0.052870225
183 31 -0.1417054 0.004712977
184 31 -0.1000000 -0.019365646
185 31 -0.0582946 0.004712977
186 31 -0.0582946 0.052870225
187 32 -0.0165892 0.076948849
188 32 -0.0582946 0.052870225
189 32 -0.0582946 0.004712977
190 32 -0.0165892 -0.019365646
191 32 0.0251162 0.004712977
192 32 0.0251162 0.052870225
193 33 0.0668216 0.076948849
194 33 0.0251162 0.052870225
195 33 0.0251162 0.004712977
196 33 0.0668216 -0.019365646
197 33 0.1085270 0.004712977
198 33 0.1085270 0.052870225
199 34 0.1502324 0.076948849
200 34 0.1085270 0.052870225
201 34 0.1085270 0.004712977
202 34 0.1502324 -0.019365646
203 34 0.1919378 0.004712977
204 34 0.1919378 0.052870225
205 35 0.2336432 0.076948849
206 35 0.1919378 0.052870225
207 35 0.1919378 0.004712977
208 35 0.2336432 -0.019365646
209 35 0.2753486 0.004712977
210 35 0.2753486 0.052870225
211 36 0.3170540 0.076948849
212 36 0.2753486 0.052870225
213 36 0.2753486 0.004712977
214 36 0.3170540 -0.019365646
215 36 0.3587594 0.004712977
216 36 0.3587594 0.052870225
217 37 0.4004648 0.076948849
218 37 0.3587594 0.052870225
219 37 0.3587594 0.004712977
220 37 0.4004648 -0.019365646
221 37 0.4421702 0.004712977
222 37 0.4421702 0.052870225
223 38 0.4838756 0.076948849
224 38 0.4421702 0.052870225
225 38 0.4421702 0.004712977
226 38 0.4838756 -0.019365646
227 38 0.5255810 0.004712977
228 38 0.5255810 0.052870225
229 39 0.5672864 0.076948849
230 39 0.5255810 0.052870225
231 39 0.5255810 0.004712977
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1298 217 0.3587594 0.919700688
1299 217 0.3587594 0.871543440
1300 217 0.4004648 0.847464816
1301 217 0.4421702 0.871543440
1302 217 0.4421702 0.919700688
1303 218 0.4838756 0.943779311
1304 218 0.4421702 0.919700688
1305 218 0.4421702 0.871543440
1306 218 0.4838756 0.847464816
1307 218 0.5255810 0.871543440
1308 218 0.5255810 0.919700688
1309 219 0.5672864 0.943779311
1310 219 0.5255810 0.919700688
1311 219 0.5255810 0.871543440
1312 219 0.5672864 0.847464816
1313 219 0.6089918 0.871543440
1314 219 0.6089918 0.919700688
1315 220 0.6506972 0.943779311
1316 220 0.6089918 0.919700688
1317 220 0.6089918 0.871543440
1318 220 0.6506972 0.847464816
1319 220 0.6924026 0.871543440
1320 220 0.6924026 0.919700688
1321 221 0.7341080 0.943779311
1322 221 0.6924026 0.919700688
1323 221 0.6924026 0.871543440
1324 221 0.7341080 0.847464816
1325 221 0.7758134 0.871543440
1326 221 0.7758134 0.919700688
1327 222 0.8175188 0.943779311
1328 222 0.7758134 0.919700688
1329 222 0.7758134 0.871543440
1330 222 0.8175188 0.847464816
1331 222 0.8592242 0.871543440
1332 222 0.8592242 0.919700688
1333 223 0.9009296 0.943779311
1334 223 0.8592242 0.919700688
1335 223 0.8592242 0.871543440
1336 223 0.9009296 0.847464816
1337 223 0.9426350 0.871543440
1338 223 0.9426350 0.919700688
1339 224 0.9843404 0.943779311
1340 224 0.9426350 0.919700688
1341 224 0.9426350 0.871543440
1342 224 0.9843404 0.847464816
1343 224 1.0260458 0.871543440
1344 224 1.0260458 0.919700688
1345 225 1.0677512 0.943779311
1346 225 1.0260458 0.919700688
1347 225 1.0260458 0.871543440
1348 225 1.0677512 0.847464816
1349 225 1.1094566 0.871543440
1350 225 1.1094566 0.919700688
1351 226 -0.0582946 1.016015183
1352 226 -0.1000000 0.991936559
1353 226 -0.1000000 0.943779311
1354 226 -0.0582946 0.919700688
1355 226 -0.0165892 0.943779311
1356 226 -0.0165892 0.991936559
1357 227 0.0251162 1.016015183
1358 227 -0.0165892 0.991936559
1359 227 -0.0165892 0.943779311
1360 227 0.0251162 0.919700688
1361 227 0.0668216 0.943779311
1362 227 0.0668216 0.991936559
1363 228 0.1085270 1.016015183
1364 228 0.0668216 0.991936559
1365 228 0.0668216 0.943779311
1366 228 0.1085270 0.919700688
1367 228 0.1502324 0.943779311
1368 228 0.1502324 0.991936559
1369 229 0.1919378 1.016015183
1370 229 0.1502324 0.991936559
1371 229 0.1502324 0.943779311
1372 229 0.1919378 0.919700688
1373 229 0.2336432 0.943779311
1374 229 0.2336432 0.991936559
1375 230 0.2753486 1.016015183
1376 230 0.2336432 0.991936559
1377 230 0.2336432 0.943779311
1378 230 0.2753486 0.919700688
1379 230 0.3170540 0.943779311
1380 230 0.3170540 0.991936559
1381 231 0.3587594 1.016015183
1382 231 0.3170540 0.991936559
1383 231 0.3170540 0.943779311
1384 231 0.3587594 0.919700688
1385 231 0.4004648 0.943779311
1386 231 0.4004648 0.991936559
1387 232 0.4421702 1.016015183
1388 232 0.4004648 0.991936559
1389 232 0.4004648 0.943779311
1390 232 0.4421702 0.919700688
1391 232 0.4838756 0.943779311
1392 232 0.4838756 0.991936559
1393 233 0.5255810 1.016015183
1394 233 0.4838756 0.991936559
1395 233 0.4838756 0.943779311
1396 233 0.5255810 0.919700688
1397 233 0.5672864 0.943779311
1398 233 0.5672864 0.991936559
1399 234 0.6089918 1.016015183
1400 234 0.5672864 0.991936559
1401 234 0.5672864 0.943779311
1402 234 0.6089918 0.919700688
1403 234 0.6506972 0.943779311
1404 234 0.6506972 0.991936559
1405 235 0.6924026 1.016015183
1406 235 0.6506972 0.991936559
1407 235 0.6506972 0.943779311
1408 235 0.6924026 0.919700688
1409 235 0.7341080 0.943779311
1410 235 0.7341080 0.991936559
1411 236 0.7758134 1.016015183
1412 236 0.7341080 0.991936559
1413 236 0.7341080 0.943779311
1414 236 0.7758134 0.919700688
1415 236 0.8175188 0.943779311
1416 236 0.8175188 0.991936559
1417 237 0.8592242 1.016015183
1418 237 0.8175188 0.991936559
1419 237 0.8175188 0.943779311
1420 237 0.8592242 0.919700688
1421 237 0.9009296 0.943779311
1422 237 0.9009296 0.991936559
1423 238 0.9426350 1.016015183
1424 238 0.9009296 0.991936559
1425 238 0.9009296 0.943779311
1426 238 0.9426350 0.919700688
1427 238 0.9843404 0.943779311
1428 238 0.9843404 0.991936559
1429 239 1.0260458 1.016015183
1430 239 0.9843404 0.991936559
1431 239 0.9843404 0.943779311
1432 239 1.0260458 0.919700688
1433 239 1.0677512 0.943779311
1434 239 1.0677512 0.991936559
1435 240 1.1094566 1.016015183
1436 240 1.0677512 0.991936559
1437 240 1.0677512 0.943779311
1438 240 1.1094566 0.919700688
1439 240 1.1511620 0.943779311
1440 240 1.1511620 0.991936559
1441 241 -0.1000000 1.088251055
1442 241 -0.1417054 1.064172431
1443 241 -0.1417054 1.016015183
1444 241 -0.1000000 0.991936559
1445 241 -0.0582946 1.016015183
1446 241 -0.0582946 1.064172431
1447 242 -0.0165892 1.088251055
1448 242 -0.0582946 1.064172431
1449 242 -0.0582946 1.016015183
1450 242 -0.0165892 0.991936559
1451 242 0.0251162 1.016015183
1452 242 0.0251162 1.064172431
1453 243 0.0668216 1.088251055
1454 243 0.0251162 1.064172431
1455 243 0.0251162 1.016015183
1456 243 0.0668216 0.991936559
1457 243 0.1085270 1.016015183
1458 243 0.1085270 1.064172431
1459 244 0.1502324 1.088251055
1460 244 0.1085270 1.064172431
1461 244 0.1085270 1.016015183
1462 244 0.1502324 0.991936559
1463 244 0.1919378 1.016015183
1464 244 0.1919378 1.064172431
1465 245 0.2336432 1.088251055
1466 245 0.1919378 1.064172431
1467 245 0.1919378 1.016015183
1468 245 0.2336432 0.991936559
1469 245 0.2753486 1.016015183
1470 245 0.2753486 1.064172431
1471 246 0.3170540 1.088251055
1472 246 0.2753486 1.064172431
1473 246 0.2753486 1.016015183
1474 246 0.3170540 0.991936559
1475 246 0.3587594 1.016015183
1476 246 0.3587594 1.064172431
1477 247 0.4004648 1.088251055
1478 247 0.3587594 1.064172431
1479 247 0.3587594 1.016015183
1480 247 0.4004648 0.991936559
1481 247 0.4421702 1.016015183
1482 247 0.4421702 1.064172431
1483 248 0.4838756 1.088251055
1484 248 0.4421702 1.064172431
1485 248 0.4421702 1.016015183
1486 248 0.4838756 0.991936559
1487 248 0.5255810 1.016015183
1488 248 0.5255810 1.064172431
1489 249 0.5672864 1.088251055
1490 249 0.5255810 1.064172431
1491 249 0.5255810 1.016015183
1492 249 0.5672864 0.991936559
1493 249 0.6089918 1.016015183
1494 249 0.6089918 1.064172431
1495 250 0.6506972 1.088251055
1496 250 0.6089918 1.064172431
1497 250 0.6089918 1.016015183
1498 250 0.6506972 0.991936559
1499 250 0.6924026 1.016015183
1500 250 0.6924026 1.064172431
1501 251 0.7341080 1.088251055
1502 251 0.6924026 1.064172431
1503 251 0.6924026 1.016015183
1504 251 0.7341080 0.991936559
1505 251 0.7758134 1.016015183
1506 251 0.7758134 1.064172431
1507 252 0.8175188 1.088251055
1508 252 0.7758134 1.064172431
1509 252 0.7758134 1.016015183
1510 252 0.8175188 0.991936559
1511 252 0.8592242 1.016015183
1512 252 0.8592242 1.064172431
1513 253 0.9009296 1.088251055
1514 253 0.8592242 1.064172431
1515 253 0.8592242 1.016015183
1516 253 0.9009296 0.991936559
1517 253 0.9426350 1.016015183
1518 253 0.9426350 1.064172431
1519 254 0.9843404 1.088251055
1520 254 0.9426350 1.064172431
1521 254 0.9426350 1.016015183
1522 254 0.9843404 0.991936559
1523 254 1.0260458 1.016015183
1524 254 1.0260458 1.064172431
1525 255 1.0677512 1.088251055
1526 255 1.0260458 1.064172431
1527 255 1.0260458 1.016015183
1528 255 1.0677512 0.991936559
1529 255 1.1094566 1.016015183
1530 255 1.1094566 1.064172431
1531 256 -0.0582946 1.160486927
1532 256 -0.1000000 1.136408303
1533 256 -0.1000000 1.088251055
1534 256 -0.0582946 1.064172431
1535 256 -0.0165892 1.088251055
1536 256 -0.0165892 1.136408303
1537 257 0.0251162 1.160486927
1538 257 -0.0165892 1.136408303
1539 257 -0.0165892 1.088251055
1540 257 0.0251162 1.064172431
1541 257 0.0668216 1.088251055
1542 257 0.0668216 1.136408303
1543 258 0.1085270 1.160486927
1544 258 0.0668216 1.136408303
1545 258 0.0668216 1.088251055
1546 258 0.1085270 1.064172431
1547 258 0.1502324 1.088251055
1548 258 0.1502324 1.136408303
1549 259 0.1919378 1.160486927
1550 259 0.1502324 1.136408303
1551 259 0.1502324 1.088251055
1552 259 0.1919378 1.064172431
1553 259 0.2336432 1.088251055
1554 259 0.2336432 1.136408303
1555 260 0.2753486 1.160486927
1556 260 0.2336432 1.136408303
1557 260 0.2336432 1.088251055
1558 260 0.2753486 1.064172431
1559 260 0.3170540 1.088251055
1560 260 0.3170540 1.136408303
1561 261 0.3587594 1.160486927
1562 261 0.3170540 1.136408303
1563 261 0.3170540 1.088251055
1564 261 0.3587594 1.064172431
1565 261 0.4004648 1.088251055
1566 261 0.4004648 1.136408303
1567 262 0.4421702 1.160486927
1568 262 0.4004648 1.136408303
1569 262 0.4004648 1.088251055
1570 262 0.4421702 1.064172431
1571 262 0.4838756 1.088251055
1572 262 0.4838756 1.136408303
1573 263 0.5255810 1.160486927
1574 263 0.4838756 1.136408303
1575 263 0.4838756 1.088251055
1576 263 0.5255810 1.064172431
1577 263 0.5672864 1.088251055
1578 263 0.5672864 1.136408303
1579 264 0.6089918 1.160486927
1580 264 0.5672864 1.136408303
1581 264 0.5672864 1.088251055
1582 264 0.6089918 1.064172431
1583 264 0.6506972 1.088251055
1584 264 0.6506972 1.136408303
1585 265 0.6924026 1.160486927
1586 265 0.6506972 1.136408303
1587 265 0.6506972 1.088251055
1588 265 0.6924026 1.064172431
1589 265 0.7341080 1.088251055
1590 265 0.7341080 1.136408303
1591 266 0.7758134 1.160486927
1592 266 0.7341080 1.136408303
1593 266 0.7341080 1.088251055
1594 266 0.7758134 1.064172431
1595 266 0.8175188 1.088251055
1596 266 0.8175188 1.136408303
1597 267 0.8592242 1.160486927
1598 267 0.8175188 1.136408303
1599 267 0.8175188 1.088251055
1600 267 0.8592242 1.064172431
1601 267 0.9009296 1.088251055
1602 267 0.9009296 1.136408303
1603 268 0.9426350 1.160486927
1604 268 0.9009296 1.136408303
1605 268 0.9009296 1.088251055
1606 268 0.9426350 1.064172431
1607 268 0.9843404 1.088251055
1608 268 0.9843404 1.136408303
1609 269 1.0260458 1.160486927
1610 269 0.9843404 1.136408303
1611 269 0.9843404 1.088251055
1612 269 1.0260458 1.064172431
1613 269 1.0677512 1.088251055
1614 269 1.0677512 1.136408303
1615 270 1.1094566 1.160486927
1616 270 1.0677512 1.136408303
1617 270 1.0677512 1.088251055
1618 270 1.1094566 1.064172431
1619 270 1.1511620 1.088251055
1620 270 1.1511620 1.136408303
1621 271 -0.1000000 1.232722799
1622 271 -0.1417054 1.208644175
1623 271 -0.1417054 1.160486927
1624 271 -0.1000000 1.136408303
1625 271 -0.0582946 1.160486927
1626 271 -0.0582946 1.208644175
1627 272 -0.0165892 1.232722799
1628 272 -0.0582946 1.208644175
1629 272 -0.0582946 1.160486927
1630 272 -0.0165892 1.136408303
1631 272 0.0251162 1.160486927
1632 272 0.0251162 1.208644175
1633 273 0.0668216 1.232722799
1634 273 0.0251162 1.208644175
1635 273 0.0251162 1.160486927
1636 273 0.0668216 1.136408303
1637 273 0.1085270 1.160486927
1638 273 0.1085270 1.208644175
1639 274 0.1502324 1.232722799
1640 274 0.1085270 1.208644175
1641 274 0.1085270 1.160486927
1642 274 0.1502324 1.136408303
1643 274 0.1919378 1.160486927
1644 274 0.1919378 1.208644175
1645 275 0.2336432 1.232722799
1646 275 0.1919378 1.208644175
1647 275 0.1919378 1.160486927
1648 275 0.2336432 1.136408303
1649 275 0.2753486 1.160486927
1650 275 0.2753486 1.208644175
1651 276 0.3170540 1.232722799
1652 276 0.2753486 1.208644175
1653 276 0.2753486 1.160486927
1654 276 0.3170540 1.136408303
1655 276 0.3587594 1.160486927
1656 276 0.3587594 1.208644175
1657 277 0.4004648 1.232722799
1658 277 0.3587594 1.208644175
1659 277 0.3587594 1.160486927
1660 277 0.4004648 1.136408303
1661 277 0.4421702 1.160486927
1662 277 0.4421702 1.208644175
1663 278 0.4838756 1.232722799
1664 278 0.4421702 1.208644175
1665 278 0.4421702 1.160486927
1666 278 0.4838756 1.136408303
1667 278 0.5255810 1.160486927
1668 278 0.5255810 1.208644175
1669 279 0.5672864 1.232722799
1670 279 0.5255810 1.208644175
1671 279 0.5255810 1.160486927
1672 279 0.5672864 1.136408303
1673 279 0.6089918 1.160486927
1674 279 0.6089918 1.208644175
1675 280 0.6506972 1.232722799
1676 280 0.6089918 1.208644175
1677 280 0.6089918 1.160486927
1678 280 0.6506972 1.136408303
1679 280 0.6924026 1.160486927
1680 280 0.6924026 1.208644175
1681 281 0.7341080 1.232722799
1682 281 0.6924026 1.208644175
1683 281 0.6924026 1.160486927
1684 281 0.7341080 1.136408303
1685 281 0.7758134 1.160486927
1686 281 0.7758134 1.208644175
1687 282 0.8175188 1.232722799
1688 282 0.7758134 1.208644175
1689 282 0.7758134 1.160486927
1690 282 0.8175188 1.136408303
1691 282 0.8592242 1.160486927
1692 282 0.8592242 1.208644175
1693 283 0.9009296 1.232722799
1694 283 0.8592242 1.208644175
1695 283 0.8592242 1.160486927
1696 283 0.9009296 1.136408303
1697 283 0.9426350 1.160486927
1698 283 0.9426350 1.208644175
1699 284 0.9843404 1.232722799
1700 284 0.9426350 1.208644175
1701 284 0.9426350 1.160486927
1702 284 0.9843404 1.136408303
1703 284 1.0260458 1.160486927
1704 284 1.0260458 1.208644175
1705 285 1.0677512 1.232722799
1706 285 1.0260458 1.208644175
1707 285 1.0260458 1.160486927
1708 285 1.0677512 1.136408303
1709 285 1.1094566 1.160486927
1710 285 1.1094566 1.208644175
1711 286 -0.0582946 1.304958671
1712 286 -0.1000000 1.280880047
1713 286 -0.1000000 1.232722799
1714 286 -0.0582946 1.208644175
1715 286 -0.0165892 1.232722799
1716 286 -0.0165892 1.280880047
1717 287 0.0251162 1.304958671
1718 287 -0.0165892 1.280880047
1719 287 -0.0165892 1.232722799
1720 287 0.0251162 1.208644175
1721 287 0.0668216 1.232722799
1722 287 0.0668216 1.280880047
1723 288 0.1085270 1.304958671
1724 288 0.0668216 1.280880047
1725 288 0.0668216 1.232722799
1726 288 0.1085270 1.208644175
1727 288 0.1502324 1.232722799
1728 288 0.1502324 1.280880047
1729 289 0.1919378 1.304958671
1730 289 0.1502324 1.280880047
1731 289 0.1502324 1.232722799
1732 289 0.1919378 1.208644175
1733 289 0.2336432 1.232722799
1734 289 0.2336432 1.280880047
1735 290 0.2753486 1.304958671
1736 290 0.2336432 1.280880047
1737 290 0.2336432 1.232722799
1738 290 0.2753486 1.208644175
1739 290 0.3170540 1.232722799
1740 290 0.3170540 1.280880047
1741 291 0.3587594 1.304958671
1742 291 0.3170540 1.280880047
1743 291 0.3170540 1.232722799
1744 291 0.3587594 1.208644175
1745 291 0.4004648 1.232722799
1746 291 0.4004648 1.280880047
1747 292 0.4421702 1.304958671
1748 292 0.4004648 1.280880047
1749 292 0.4004648 1.232722799
1750 292 0.4421702 1.208644175
1751 292 0.4838756 1.232722799
1752 292 0.4838756 1.280880047
1753 293 0.5255810 1.304958671
1754 293 0.4838756 1.280880047
1755 293 0.4838756 1.232722799
1756 293 0.5255810 1.208644175
1757 293 0.5672864 1.232722799
1758 293 0.5672864 1.280880047
1759 294 0.6089918 1.304958671
1760 294 0.5672864 1.280880047
1761 294 0.5672864 1.232722799
1762 294 0.6089918 1.208644175
1763 294 0.6506972 1.232722799
1764 294 0.6506972 1.280880047
1765 295 0.6924026 1.304958671
1766 295 0.6506972 1.280880047
1767 295 0.6506972 1.232722799
1768 295 0.6924026 1.208644175
1769 295 0.7341080 1.232722799
1770 295 0.7341080 1.280880047
1771 296 0.7758134 1.304958671
1772 296 0.7341080 1.280880047
1773 296 0.7341080 1.232722799
1774 296 0.7758134 1.208644175
1775 296 0.8175188 1.232722799
1776 296 0.8175188 1.280880047
1777 297 0.8592242 1.304958671
1778 297 0.8175188 1.280880047
1779 297 0.8175188 1.232722799
1780 297 0.8592242 1.208644175
1781 297 0.9009296 1.232722799
1782 297 0.9009296 1.280880047
1783 298 0.9426350 1.304958671
1784 298 0.9009296 1.280880047
1785 298 0.9009296 1.232722799
1786 298 0.9426350 1.208644175
1787 298 0.9843404 1.232722799
1788 298 0.9843404 1.280880047
1789 299 1.0260458 1.304958671
1790 299 0.9843404 1.280880047
1791 299 0.9843404 1.232722799
1792 299 1.0260458 1.208644175
1793 299 1.0677512 1.232722799
1794 299 1.0677512 1.280880047
1795 300 1.1094566 1.304958671
1796 300 1.0677512 1.280880047
1797 300 1.0677512 1.232722799
1798 300 1.1094566 1.208644175
1799 300 1.1511620 1.232722799
1800 300 1.1511620 1.280880047
$data_hb_id
# A tibble: 1,000 x 4
emb1 emb2 ID h
<dbl> <dbl> <int> <int>
1 0.277 0.913 1 216
2 0.697 0.538 2 145
3 0.779 0.399 3 116
4 0.173 0.953 4 229
5 0.218 0.983 5 229
6 0.593 1.05 6 249
7 0.180 0.210 7 79
8 0.976 0.571 8 164
9 0.803 0.829 9 206
10 0.932 0.410 10 118
# i 990 more rows
$std_cts
# A tibble: 137 x 3
h n_h w_h
<int> <int> <dbl>
1 34 1 0.001
2 35 10 0.01
3 36 8 0.008
4 37 8 0.008
5 38 2 0.002
6 41 2 0.002
7 42 12 0.012
8 49 11 0.011
9 50 9 0.009
10 51 4 0.004
# i 127 more rows
$b
[1] 300
$m
[1] 137
$pts_bins
# A tibble: 137 x 2
h pts_list
<int> <list>
1 34 <int [1]>
2 35 <int [10]>
3 36 <int [8]>
4 37 <int [8]>
5 38 <int [2]>
6 41 <int [2]>
7 42 <int [12]>
8 49 <int [11]>
9 50 <int [9]>
10 51 <int [4]>
# i 127 more rows
attr(,"class")
[1] "hex_bin_obj"
$model_highd
# A tibble: 92 x 8
h x1 x2 x3 x4 x5 x6 x7
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 35 0.818 0.116 1.56 0.00184 0.00361 -0.0318 -0.00377
2 36 0.544 0.111 1.83 -0.00341 -0.000303 0.0196 0.0000704
3 37 0.279 0.128 1.95 0.0000880 0.00104 -0.0276 -0.000227
4 42 -0.529 1.84 1.83 -0.000870 -0.000312 0.00825 0.00162
5 49 0.935 0.364 1.31 -0.00383 -0.00292 -0.00153 0.000860
6 50 0.705 0.449 1.70 0.00218 -0.00679 -0.0149 0.00223
7 52 -0.00776 0.305 2.00 -0.000357 0.000463 0.00485 0.00122
8 53 -0.254 0.261 1.96 -0.00457 0.00248 -0.0156 0.000782
9 55 -0.632 1.06 1.77 0.00357 0.00678 0.0441 0.00271
10 56 -0.706 1.38 1.70 0.000786 -0.00266 -0.0132 -0.00169
# i 82 more rows
$model_2d
h c_x c_y n_h w_h
1 35 0.2336432 0.0287916 10 0.010
2 36 0.3170540 0.0287916 8 0.008
3 37 0.4004648 0.0287916 8 0.008
4 42 0.8175188 0.0287916 12 0.012
5 49 0.1919378 0.1010275 11 0.011
6 50 0.2753486 0.1010275 9 0.009
7 52 0.4421702 0.1010275 11 0.011
8 53 0.5255810 0.1010275 12 0.012
9 55 0.6924026 0.1010275 6 0.006
10 56 0.7758134 0.1010275 12 0.012
11 57 0.8592242 0.1010275 12 0.012
12 65 0.2336432 0.1732633 10 0.010
13 66 0.3170540 0.1732633 10 0.010
14 67 0.4004648 0.1732633 11 0.011
15 69 0.5672864 0.1732633 14 0.014
16 70 0.6506972 0.1732633 11 0.011
17 71 0.7341080 0.1732633 9 0.009
18 72 0.8175188 0.1732633 6 0.006
19 73 0.9009296 0.1732633 6 0.006
20 79 0.1919378 0.2454992 10 0.010
21 81 0.3587594 0.2454992 8 0.008
22 82 0.4421702 0.2454992 8 0.008
23 84 0.6089918 0.2454992 9 0.009
24 86 0.7758134 0.2454992 11 0.011
25 87 0.8592242 0.2454992 7 0.007
26 88 0.9426350 0.2454992 9 0.009
27 94 0.1502324 0.3177351 11 0.011
28 96 0.3170540 0.3177351 10 0.010
29 97 0.4004648 0.3177351 8 0.008
30 100 0.6506972 0.3177351 10 0.010
31 101 0.7341080 0.3177351 12 0.012
32 103 0.9009296 0.3177351 13 0.013
33 109 0.1919378 0.3899710 9 0.009
34 115 0.6924026 0.3899710 6 0.006
35 116 0.7758134 0.3899710 9 0.009
36 117 0.8592242 0.3899710 10 0.010
37 118 0.9426350 0.3899710 7 0.007
38 131 0.7341080 0.4622068 12 0.012
39 132 0.8175188 0.4622068 6 0.006
40 133 0.9009296 0.4622068 6 0.006
41 134 0.9843404 0.4622068 9 0.009
42 145 0.6924026 0.5344427 9 0.009
43 146 0.7758134 0.5344427 9 0.009
44 147 0.8592242 0.5344427 6 0.006
45 148 0.9426350 0.5344427 6 0.006
46 160 0.6506972 0.6066786 10 0.010
47 161 0.7341080 0.6066786 9 0.009
48 164 0.9843404 0.6066786 8 0.008
49 174 0.6089918 0.6789144 10 0.010
50 175 0.6924026 0.6789144 9 0.009
51 176 0.7758134 0.6789144 6 0.006
52 177 0.8592242 0.6789144 11 0.011
53 187 0.4004648 0.7511503 11 0.011
54 189 0.5672864 0.7511503 12 0.012
55 190 0.6506972 0.7511503 6 0.006
56 192 0.8175188 0.7511503 8 0.008
57 193 0.9009296 0.7511503 9 0.009
58 197 0.0251162 0.8233862 12 0.012
59 198 0.1085270 0.8233862 9 0.009
60 199 0.1919378 0.8233862 10 0.010
61 200 0.2753486 0.8233862 11 0.011
62 201 0.3587594 0.8233862 9 0.009
63 202 0.4421702 0.8233862 12 0.012
64 203 0.5255810 0.8233862 7 0.007
65 204 0.6089918 0.8233862 8 0.008
66 205 0.6924026 0.8233862 11 0.011
67 207 0.8592242 0.8233862 7 0.007
68 213 0.0668216 0.8956221 8 0.008
69 215 0.2336432 0.8956221 8 0.008
70 216 0.3170540 0.8956221 8 0.008
71 218 0.4838756 0.8956221 9 0.009
72 219 0.5672864 0.8956221 7 0.007
73 220 0.6506972 0.8956221 10 0.010
74 221 0.7341080 0.8956221 7 0.007
75 222 0.8175188 0.8956221 15 0.015
76 227 0.0251162 0.9678579 12 0.012
77 228 0.1085270 0.9678579 6 0.006
78 231 0.3587594 0.9678579 7 0.007
79 232 0.4421702 0.9678579 14 0.014
80 235 0.6924026 0.9678579 8 0.008
81 236 0.7758134 0.9678579 7 0.007
82 243 0.0668216 1.0400938 9 0.009
83 244 0.1502324 1.0400938 9 0.009
84 246 0.3170540 1.0400938 8 0.008
85 247 0.4004648 1.0400938 8 0.008
86 248 0.4838756 1.0400938 7 0.007
87 258 0.1085270 1.1123297 13 0.013
88 259 0.1919378 1.1123297 14 0.014
89 260 0.2753486 1.1123297 6 0.006
90 261 0.3587594 1.1123297 7 0.007
91 262 0.4421702 1.1123297 10 0.010
92 263 0.5255810 1.1123297 10 0.010
$trimesh_data
# A tibble: 172 x 8
from to x_from y_from x_to y_to from_count to_count
<int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 1 5 0.234 0.0288 0.192 0.101 10 11
2 5 12 0.192 0.101 0.234 0.173 11 10
3 1 2 0.234 0.0288 0.317 0.0288 10 8
4 1 6 0.234 0.0288 0.275 0.101 10 9
5 2 6 0.317 0.0288 0.275 0.101 8 9
6 12 13 0.234 0.173 0.317 0.173 10 10
7 6 12 0.275 0.101 0.234 0.173 9 10
8 2 3 0.317 0.0288 0.400 0.0288 8 8
9 13 21 0.317 0.173 0.359 0.245 10 8
10 13 14 0.317 0.173 0.400 0.173 10 11
# i 162 more rows
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fit_highd_model() works
Code
fit_highd_model(highd_data = scurve, nldr_data = scurve_umap, b1 = 4, q = 0.1,
benchmark_highdens = 5)
Message
v Model generated successfully!!!
Output
$nldr_obj
$nldr_obj$scaled_nldr
# A tibble: 1,000 x 3
emb1 emb2 ID
<dbl> <dbl> <int>
1 0.277 0.913 1
2 0.697 0.538 2
3 0.779 0.399 3
4 0.173 0.953 4
5 0.218 0.983 5
6 0.593 1.05 6
7 0.180 0.210 7
8 0.976 0.571 8
9 0.803 0.829 9
10 0.932 0.410 10
# i 990 more rows
$nldr_obj$lim1
[1] -9.146398 8.552211
$nldr_obj$lim2
[1] -10.36686 10.10691
$hb_obj
$a1
[1] 0.3962013
$a2
[1] 0.3431204
$bins
[1] 4 5
$start_point
[1] -0.1000000 -0.1156801
$centroids
# A tibble: 20 x 3
h c_x c_y
<int> <dbl> <dbl>
1 1 -0.1 -0.116
2 2 0.296 -0.116
3 3 0.692 -0.116
4 4 1.09 -0.116
5 5 0.0981 0.227
6 6 0.494 0.227
7 7 0.891 0.227
8 8 1.29 0.227
9 9 -0.1 0.571
10 10 0.296 0.571
11 11 0.692 0.571
12 12 1.09 0.571
13 13 0.0981 0.914
14 14 0.494 0.914
15 15 0.891 0.914
16 16 1.29 0.914
17 17 -0.1 1.26
18 18 0.296 1.26
19 19 0.692 1.26
20 20 1.09 1.26
$hex_poly
h x y
1 1 -0.10000000 0.113066785
2 1 -0.29810065 -0.001306679
3 1 -0.29810065 -0.230053606
4 1 -0.10000000 -0.344427070
5 1 0.09810065 -0.230053606
6 1 0.09810065 -0.001306679
7 2 0.29620130 0.113066785
8 2 0.09810065 -0.001306679
9 2 0.09810065 -0.230053606
10 2 0.29620130 -0.344427070
11 2 0.49430195 -0.230053606
12 2 0.49430195 -0.001306679
13 3 0.69240260 0.113066785
14 3 0.49430195 -0.001306679
15 3 0.49430195 -0.230053606
16 3 0.69240260 -0.344427070
17 3 0.89050325 -0.230053606
18 3 0.89050325 -0.001306679
19 4 1.08860390 0.113066785
20 4 0.89050325 -0.001306679
21 4 0.89050325 -0.230053606
22 4 1.08860390 -0.344427070
23 4 1.28670455 -0.230053606
24 4 1.28670455 -0.001306679
25 5 0.09810065 0.456187177
26 5 -0.10000000 0.341813713
27 5 -0.10000000 0.113066785
28 5 0.09810065 -0.001306679
29 5 0.29620130 0.113066785
30 5 0.29620130 0.341813713
31 6 0.49430195 0.456187177
32 6 0.29620130 0.341813713
33 6 0.29620130 0.113066785
34 6 0.49430195 -0.001306679
35 6 0.69240260 0.113066785
36 6 0.69240260 0.341813713
37 7 0.89050325 0.456187177
38 7 0.69240260 0.341813713
39 7 0.69240260 0.113066785
40 7 0.89050325 -0.001306679
41 7 1.08860390 0.113066785
42 7 1.08860390 0.341813713
43 8 1.28670455 0.456187177
44 8 1.08860390 0.341813713
45 8 1.08860390 0.113066785
46 8 1.28670455 -0.001306679
47 8 1.48480520 0.113066785
48 8 1.48480520 0.341813713
49 9 -0.10000000 0.799307568
50 9 -0.29810065 0.684934104
51 9 -0.29810065 0.456187177
52 9 -0.10000000 0.341813713
53 9 0.09810065 0.456187177
54 9 0.09810065 0.684934104
55 10 0.29620130 0.799307568
56 10 0.09810065 0.684934104
57 10 0.09810065 0.456187177
58 10 0.29620130 0.341813713
59 10 0.49430195 0.456187177
60 10 0.49430195 0.684934104
61 11 0.69240260 0.799307568
62 11 0.49430195 0.684934104
63 11 0.49430195 0.456187177
64 11 0.69240260 0.341813713
65 11 0.89050325 0.456187177
66 11 0.89050325 0.684934104
67 12 1.08860390 0.799307568
68 12 0.89050325 0.684934104
69 12 0.89050325 0.456187177
70 12 1.08860390 0.341813713
71 12 1.28670455 0.456187177
72 12 1.28670455 0.684934104
73 13 0.09810065 1.142427959
74 13 -0.10000000 1.028054495
75 13 -0.10000000 0.799307568
76 13 0.09810065 0.684934104
77 13 0.29620130 0.799307568
78 13 0.29620130 1.028054495
79 14 0.49430195 1.142427959
80 14 0.29620130 1.028054495
81 14 0.29620130 0.799307568
82 14 0.49430195 0.684934104
83 14 0.69240260 0.799307568
84 14 0.69240260 1.028054495
85 15 0.89050325 1.142427959
86 15 0.69240260 1.028054495
87 15 0.69240260 0.799307568
88 15 0.89050325 0.684934104
89 15 1.08860390 0.799307568
90 15 1.08860390 1.028054495
91 16 1.28670455 1.142427959
92 16 1.08860390 1.028054495
93 16 1.08860390 0.799307568
94 16 1.28670455 0.684934104
95 16 1.48480520 0.799307568
96 16 1.48480520 1.028054495
97 17 -0.10000000 1.485548350
98 17 -0.29810065 1.371174887
99 17 -0.29810065 1.142427959
100 17 -0.10000000 1.028054495
101 17 0.09810065 1.142427959
102 17 0.09810065 1.371174887
103 18 0.29620130 1.485548350
104 18 0.09810065 1.371174887
105 18 0.09810065 1.142427959
106 18 0.29620130 1.028054495
107 18 0.49430195 1.142427959
108 18 0.49430195 1.371174887
109 19 0.69240260 1.485548350
110 19 0.49430195 1.371174887
111 19 0.49430195 1.142427959
112 19 0.69240260 1.028054495
113 19 0.89050325 1.142427959
114 19 0.89050325 1.371174887
115 20 1.08860390 1.485548350
116 20 0.89050325 1.371174887
117 20 0.89050325 1.142427959
118 20 1.08860390 1.028054495
119 20 1.28670455 1.142427959
120 20 1.28670455 1.371174887
$data_hb_id
# A tibble: 1,000 x 4
emb1 emb2 ID h
<dbl> <dbl> <int> <int>
1 0.277 0.913 1 13
2 0.697 0.538 2 11
3 0.779 0.399 3 11
4 0.173 0.953 4 13
5 0.218 0.983 5 13
6 0.593 1.05 6 14
7 0.180 0.210 7 5
8 0.976 0.571 8 12
9 0.803 0.829 9 15
10 0.932 0.410 10 7
# i 990 more rows
$std_cts
# A tibble: 13 x 3
h n_h w_h
<int> <int> <dbl>
1 2 30 0.03
2 3 14 0.014
3 5 75 0.075
4 6 137 0.137
5 7 132 0.132
6 10 12 0.012
7 11 132 0.132
8 12 37 0.037
9 13 140 0.14
10 14 176 0.176
11 15 67 0.067
12 17 4 0.004
13 18 44 0.044
$b
[1] 20
$m
[1] 13
$pts_bins
# A tibble: 13 x 2
h pts_list
<int> <list>
1 2 <int [30]>
2 3 <int [14]>
3 5 <int [75]>
4 6 <int [137]>
5 7 <int [132]>
6 10 <int [12]>
7 11 <int [132]>
8 12 <int [37]>
9 13 <int [140]>
10 14 <int [176]>
11 15 <int [67]>
12 17 <int [4]>
13 18 <int [44]>
attr(,"class")
[1] "hex_bin_obj"
$model_highd
# A tibble: 12 x 8
h x1 x2 x3 x4 x5 x6 x7
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2 0.621 0.145 1.73 0.000811 0.00129 -0.0148 -0.00142
2 3 -0.472 1.60 1.87 -0.00204 0.00591 0.0136 0.00319
3 5 0.874 1.07 1.42 -0.00307 0.00218 -0.00370 0.000263
4 6 -0.185 0.655 1.82 -0.00151 0.00135 0.00135 0.00123
5 7 -0.890 1.29 1.04 0.000368 0.000266 0.00151 0.000278
6 10 0.279 0.713 -0.722 0.00382 -0.00440 -0.0265 0.00181
7 11 0.145 0.537 -0.0960 -0.000434 0.000514 0.00394 0.000941
8 12 -0.132 1.68 0.0457 0.00109 -0.000500 -0.0108 -0.00110
9 13 -0.686 0.824 -1.57 0.000626 -0.000342 0.00253 0.000273
10 14 0.620 1.02 -1.63 -0.000149 -0.000135 -0.00418 -0.000195
11 15 0.833 1.54 -0.553 0.000130 0.000263 0.00686 0.0000105
12 18 -0.345 1.77 -1.85 0.00135 0.00260 -0.0106 0.000976
$model_2d
h c_x c_y n_h w_h
1 2 0.29620130 -0.1156801 30 0.030
2 3 0.69240260 -0.1156801 14 0.014
3 5 0.09810065 0.2274402 75 0.075
4 6 0.49430195 0.2274402 137 0.137
5 7 0.89050325 0.2274402 132 0.132
6 10 0.29620130 0.5705606 12 0.012
7 11 0.69240260 0.5705606 132 0.132
8 12 1.08860390 0.5705606 37 0.037
9 13 0.09810065 0.9136810 140 0.140
10 14 0.49430195 0.9136810 176 0.176
11 15 0.89050325 0.9136810 67 0.067
12 18 0.29620130 1.2568014 44 0.044
$trimesh_data
# A tibble: 23 x 8
from to x_from y_from x_to y_to from_count to_count
<int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 3 4 0.0981 0.227 0.494 0.227 75 137
2 3 6 0.0981 0.227 0.296 0.571 75 12
3 2 4 0.692 -0.116 0.494 0.227 14 137
4 4 5 0.494 0.227 0.891 0.227 137 132
5 4 7 0.494 0.227 0.692 0.571 137 132
6 6 10 0.296 0.571 0.494 0.914 12 176
7 6 7 0.296 0.571 0.692 0.571 12 132
8 7 8 0.692 0.571 1.09 0.571 132 37
9 7 11 0.692 0.571 0.891 0.914 132 67
10 9 12 0.0981 0.914 0.296 1.26 140 44
# i 13 more rows
Code
fit_highd_model(highd_data = scurve, nldr_data = scurve_umap, b1 = 15, q = 0.1,
benchmark_highdens = 5)
Message
v Model generated successfully!!!
Output
$nldr_obj
$nldr_obj$scaled_nldr
# A tibble: 1,000 x 3
emb1 emb2 ID
<dbl> <dbl> <int>
1 0.277 0.913 1
2 0.697 0.538 2
3 0.779 0.399 3
4 0.173 0.953 4
5 0.218 0.983 5
6 0.593 1.05 6
7 0.180 0.210 7
8 0.976 0.571 8
9 0.803 0.829 9
10 0.932 0.410 10
# i 990 more rows
$nldr_obj$lim1
[1] -9.146398 8.552211
$nldr_obj$lim2
[1] -10.36686 10.10691
$hb_obj
$a1
[1] 0.0834108
$a2
[1] 0.07223587
$bins
[1] 15 20
$start_point
[1] -0.1000000 -0.1156801
$centroids
# A tibble: 300 x 3
h c_x c_y
<int> <dbl> <dbl>
1 1 -0.1 -0.116
2 2 -0.0166 -0.116
3 3 0.0668 -0.116
4 4 0.150 -0.116
5 5 0.234 -0.116
6 6 0.317 -0.116
7 7 0.400 -0.116
8 8 0.484 -0.116
9 9 0.567 -0.116
10 10 0.651 -0.116
# i 290 more rows
$hex_poly
h x y
1 1 -0.1000000 -0.067522894
2 1 -0.1417054 -0.091601518
3 1 -0.1417054 -0.139758766
4 1 -0.1000000 -0.163837390
5 1 -0.0582946 -0.139758766
6 1 -0.0582946 -0.091601518
7 2 -0.0165892 -0.067522894
8 2 -0.0582946 -0.091601518
9 2 -0.0582946 -0.139758766
10 2 -0.0165892 -0.163837390
11 2 0.0251162 -0.139758766
12 2 0.0251162 -0.091601518
13 3 0.0668216 -0.067522894
14 3 0.0251162 -0.091601518
15 3 0.0251162 -0.139758766
16 3 0.0668216 -0.163837390
17 3 0.1085270 -0.139758766
18 3 0.1085270 -0.091601518
19 4 0.1502324 -0.067522894
20 4 0.1085270 -0.091601518
21 4 0.1085270 -0.139758766
22 4 0.1502324 -0.163837390
23 4 0.1919378 -0.139758766
24 4 0.1919378 -0.091601518
25 5 0.2336432 -0.067522894
26 5 0.1919378 -0.091601518
27 5 0.1919378 -0.139758766
28 5 0.2336432 -0.163837390
29 5 0.2753486 -0.139758766
30 5 0.2753486 -0.091601518
31 6 0.3170540 -0.067522894
32 6 0.2753486 -0.091601518
33 6 0.2753486 -0.139758766
34 6 0.3170540 -0.163837390
35 6 0.3587594 -0.139758766
36 6 0.3587594 -0.091601518
37 7 0.4004648 -0.067522894
38 7 0.3587594 -0.091601518
39 7 0.3587594 -0.139758766
40 7 0.4004648 -0.163837390
41 7 0.4421702 -0.139758766
42 7 0.4421702 -0.091601518
43 8 0.4838756 -0.067522894
44 8 0.4421702 -0.091601518
45 8 0.4421702 -0.139758766
46 8 0.4838756 -0.163837390
47 8 0.5255810 -0.139758766
48 8 0.5255810 -0.091601518
49 9 0.5672864 -0.067522894
50 9 0.5255810 -0.091601518
51 9 0.5255810 -0.139758766
52 9 0.5672864 -0.163837390
53 9 0.6089918 -0.139758766
54 9 0.6089918 -0.091601518
55 10 0.6506972 -0.067522894
56 10 0.6089918 -0.091601518
57 10 0.6089918 -0.139758766
58 10 0.6506972 -0.163837390
59 10 0.6924026 -0.139758766
60 10 0.6924026 -0.091601518
61 11 0.7341080 -0.067522894
62 11 0.6924026 -0.091601518
63 11 0.6924026 -0.139758766
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1648 275 0.2336432 1.136408303
1649 275 0.2753486 1.160486927
1650 275 0.2753486 1.208644175
1651 276 0.3170540 1.232722799
1652 276 0.2753486 1.208644175
1653 276 0.2753486 1.160486927
1654 276 0.3170540 1.136408303
1655 276 0.3587594 1.160486927
1656 276 0.3587594 1.208644175
1657 277 0.4004648 1.232722799
1658 277 0.3587594 1.208644175
1659 277 0.3587594 1.160486927
1660 277 0.4004648 1.136408303
1661 277 0.4421702 1.160486927
1662 277 0.4421702 1.208644175
1663 278 0.4838756 1.232722799
1664 278 0.4421702 1.208644175
1665 278 0.4421702 1.160486927
1666 278 0.4838756 1.136408303
1667 278 0.5255810 1.160486927
1668 278 0.5255810 1.208644175
1669 279 0.5672864 1.232722799
1670 279 0.5255810 1.208644175
1671 279 0.5255810 1.160486927
1672 279 0.5672864 1.136408303
1673 279 0.6089918 1.160486927
1674 279 0.6089918 1.208644175
1675 280 0.6506972 1.232722799
1676 280 0.6089918 1.208644175
1677 280 0.6089918 1.160486927
1678 280 0.6506972 1.136408303
1679 280 0.6924026 1.160486927
1680 280 0.6924026 1.208644175
1681 281 0.7341080 1.232722799
1682 281 0.6924026 1.208644175
1683 281 0.6924026 1.160486927
1684 281 0.7341080 1.136408303
1685 281 0.7758134 1.160486927
1686 281 0.7758134 1.208644175
1687 282 0.8175188 1.232722799
1688 282 0.7758134 1.208644175
1689 282 0.7758134 1.160486927
1690 282 0.8175188 1.136408303
1691 282 0.8592242 1.160486927
1692 282 0.8592242 1.208644175
1693 283 0.9009296 1.232722799
1694 283 0.8592242 1.208644175
1695 283 0.8592242 1.160486927
1696 283 0.9009296 1.136408303
1697 283 0.9426350 1.160486927
1698 283 0.9426350 1.208644175
1699 284 0.9843404 1.232722799
1700 284 0.9426350 1.208644175
1701 284 0.9426350 1.160486927
1702 284 0.9843404 1.136408303
1703 284 1.0260458 1.160486927
1704 284 1.0260458 1.208644175
1705 285 1.0677512 1.232722799
1706 285 1.0260458 1.208644175
1707 285 1.0260458 1.160486927
1708 285 1.0677512 1.136408303
1709 285 1.1094566 1.160486927
1710 285 1.1094566 1.208644175
1711 286 -0.0582946 1.304958671
1712 286 -0.1000000 1.280880047
1713 286 -0.1000000 1.232722799
1714 286 -0.0582946 1.208644175
1715 286 -0.0165892 1.232722799
1716 286 -0.0165892 1.280880047
1717 287 0.0251162 1.304958671
1718 287 -0.0165892 1.280880047
1719 287 -0.0165892 1.232722799
1720 287 0.0251162 1.208644175
1721 287 0.0668216 1.232722799
1722 287 0.0668216 1.280880047
1723 288 0.1085270 1.304958671
1724 288 0.0668216 1.280880047
1725 288 0.0668216 1.232722799
1726 288 0.1085270 1.208644175
1727 288 0.1502324 1.232722799
1728 288 0.1502324 1.280880047
1729 289 0.1919378 1.304958671
1730 289 0.1502324 1.280880047
1731 289 0.1502324 1.232722799
1732 289 0.1919378 1.208644175
1733 289 0.2336432 1.232722799
1734 289 0.2336432 1.280880047
1735 290 0.2753486 1.304958671
1736 290 0.2336432 1.280880047
1737 290 0.2336432 1.232722799
1738 290 0.2753486 1.208644175
1739 290 0.3170540 1.232722799
1740 290 0.3170540 1.280880047
1741 291 0.3587594 1.304958671
1742 291 0.3170540 1.280880047
1743 291 0.3170540 1.232722799
1744 291 0.3587594 1.208644175
1745 291 0.4004648 1.232722799
1746 291 0.4004648 1.280880047
1747 292 0.4421702 1.304958671
1748 292 0.4004648 1.280880047
1749 292 0.4004648 1.232722799
1750 292 0.4421702 1.208644175
1751 292 0.4838756 1.232722799
1752 292 0.4838756 1.280880047
1753 293 0.5255810 1.304958671
1754 293 0.4838756 1.280880047
1755 293 0.4838756 1.232722799
1756 293 0.5255810 1.208644175
1757 293 0.5672864 1.232722799
1758 293 0.5672864 1.280880047
1759 294 0.6089918 1.304958671
1760 294 0.5672864 1.280880047
1761 294 0.5672864 1.232722799
1762 294 0.6089918 1.208644175
1763 294 0.6506972 1.232722799
1764 294 0.6506972 1.280880047
1765 295 0.6924026 1.304958671
1766 295 0.6506972 1.280880047
1767 295 0.6506972 1.232722799
1768 295 0.6924026 1.208644175
1769 295 0.7341080 1.232722799
1770 295 0.7341080 1.280880047
1771 296 0.7758134 1.304958671
1772 296 0.7341080 1.280880047
1773 296 0.7341080 1.232722799
1774 296 0.7758134 1.208644175
1775 296 0.8175188 1.232722799
1776 296 0.8175188 1.280880047
1777 297 0.8592242 1.304958671
1778 297 0.8175188 1.280880047
1779 297 0.8175188 1.232722799
1780 297 0.8592242 1.208644175
1781 297 0.9009296 1.232722799
1782 297 0.9009296 1.280880047
1783 298 0.9426350 1.304958671
1784 298 0.9009296 1.280880047
1785 298 0.9009296 1.232722799
1786 298 0.9426350 1.208644175
1787 298 0.9843404 1.232722799
1788 298 0.9843404 1.280880047
1789 299 1.0260458 1.304958671
1790 299 0.9843404 1.280880047
1791 299 0.9843404 1.232722799
1792 299 1.0260458 1.208644175
1793 299 1.0677512 1.232722799
1794 299 1.0677512 1.280880047
1795 300 1.1094566 1.304958671
1796 300 1.0677512 1.280880047
1797 300 1.0677512 1.232722799
1798 300 1.1094566 1.208644175
1799 300 1.1511620 1.232722799
1800 300 1.1511620 1.280880047
$data_hb_id
# A tibble: 1,000 x 4
emb1 emb2 ID h
<dbl> <dbl> <int> <int>
1 0.277 0.913 1 216
2 0.697 0.538 2 145
3 0.779 0.399 3 116
4 0.173 0.953 4 229
5 0.218 0.983 5 229
6 0.593 1.05 6 249
7 0.180 0.210 7 79
8 0.976 0.571 8 164
9 0.803 0.829 9 206
10 0.932 0.410 10 118
# i 990 more rows
$std_cts
# A tibble: 137 x 3
h n_h w_h
<int> <int> <dbl>
1 34 1 0.001
2 35 10 0.01
3 36 8 0.008
4 37 8 0.008
5 38 2 0.002
6 41 2 0.002
7 42 12 0.012
8 49 11 0.011
9 50 9 0.009
10 51 4 0.004
# i 127 more rows
$b
[1] 300
$m
[1] 137
$pts_bins
# A tibble: 137 x 2
h pts_list
<int> <list>
1 34 <int [1]>
2 35 <int [10]>
3 36 <int [8]>
4 37 <int [8]>
5 38 <int [2]>
6 41 <int [2]>
7 42 <int [12]>
8 49 <int [11]>
9 50 <int [9]>
10 51 <int [4]>
# i 127 more rows
attr(,"class")
[1] "hex_bin_obj"
$model_highd
# A tibble: 92 x 8
h x1 x2 x3 x4 x5 x6 x7
<int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 35 0.818 0.116 1.56 0.00184 0.00361 -0.0318 -0.00377
2 36 0.544 0.111 1.83 -0.00341 -0.000303 0.0196 0.0000704
3 37 0.279 0.128 1.95 0.0000880 0.00104 -0.0276 -0.000227
4 42 -0.529 1.84 1.83 -0.000870 -0.000312 0.00825 0.00162
5 49 0.935 0.364 1.31 -0.00383 -0.00292 -0.00153 0.000860
6 50 0.705 0.449 1.70 0.00218 -0.00679 -0.0149 0.00223
7 52 -0.00776 0.305 2.00 -0.000357 0.000463 0.00485 0.00122
8 53 -0.254 0.261 1.96 -0.00457 0.00248 -0.0156 0.000782
9 55 -0.632 1.06 1.77 0.00357 0.00678 0.0441 0.00271
10 56 -0.706 1.38 1.70 0.000786 -0.00266 -0.0132 -0.00169
# i 82 more rows
$model_2d
h c_x c_y n_h w_h
1 35 0.2336432 0.0287916 10 0.010
2 36 0.3170540 0.0287916 8 0.008
3 37 0.4004648 0.0287916 8 0.008
4 42 0.8175188 0.0287916 12 0.012
5 49 0.1919378 0.1010275 11 0.011
6 50 0.2753486 0.1010275 9 0.009
7 52 0.4421702 0.1010275 11 0.011
8 53 0.5255810 0.1010275 12 0.012
9 55 0.6924026 0.1010275 6 0.006
10 56 0.7758134 0.1010275 12 0.012
11 57 0.8592242 0.1010275 12 0.012
12 65 0.2336432 0.1732633 10 0.010
13 66 0.3170540 0.1732633 10 0.010
14 67 0.4004648 0.1732633 11 0.011
15 69 0.5672864 0.1732633 14 0.014
16 70 0.6506972 0.1732633 11 0.011
17 71 0.7341080 0.1732633 9 0.009
18 72 0.8175188 0.1732633 6 0.006
19 73 0.9009296 0.1732633 6 0.006
20 79 0.1919378 0.2454992 10 0.010
21 81 0.3587594 0.2454992 8 0.008
22 82 0.4421702 0.2454992 8 0.008
23 84 0.6089918 0.2454992 9 0.009
24 86 0.7758134 0.2454992 11 0.011
25 87 0.8592242 0.2454992 7 0.007
26 88 0.9426350 0.2454992 9 0.009
27 94 0.1502324 0.3177351 11 0.011
28 96 0.3170540 0.3177351 10 0.010
29 97 0.4004648 0.3177351 8 0.008
30 100 0.6506972 0.3177351 10 0.010
31 101 0.7341080 0.3177351 12 0.012
32 103 0.9009296 0.3177351 13 0.013
33 109 0.1919378 0.3899710 9 0.009
34 115 0.6924026 0.3899710 6 0.006
35 116 0.7758134 0.3899710 9 0.009
36 117 0.8592242 0.3899710 10 0.010
37 118 0.9426350 0.3899710 7 0.007
38 131 0.7341080 0.4622068 12 0.012
39 132 0.8175188 0.4622068 6 0.006
40 133 0.9009296 0.4622068 6 0.006
41 134 0.9843404 0.4622068 9 0.009
42 145 0.6924026 0.5344427 9 0.009
43 146 0.7758134 0.5344427 9 0.009
44 147 0.8592242 0.5344427 6 0.006
45 148 0.9426350 0.5344427 6 0.006
46 160 0.6506972 0.6066786 10 0.010
47 161 0.7341080 0.6066786 9 0.009
48 164 0.9843404 0.6066786 8 0.008
49 174 0.6089918 0.6789144 10 0.010
50 175 0.6924026 0.6789144 9 0.009
51 176 0.7758134 0.6789144 6 0.006
52 177 0.8592242 0.6789144 11 0.011
53 187 0.4004648 0.7511503 11 0.011
54 189 0.5672864 0.7511503 12 0.012
55 190 0.6506972 0.7511503 6 0.006
56 192 0.8175188 0.7511503 8 0.008
57 193 0.9009296 0.7511503 9 0.009
58 197 0.0251162 0.8233862 12 0.012
59 198 0.1085270 0.8233862 9 0.009
60 199 0.1919378 0.8233862 10 0.010
61 200 0.2753486 0.8233862 11 0.011
62 201 0.3587594 0.8233862 9 0.009
63 202 0.4421702 0.8233862 12 0.012
64 203 0.5255810 0.8233862 7 0.007
65 204 0.6089918 0.8233862 8 0.008
66 205 0.6924026 0.8233862 11 0.011
67 207 0.8592242 0.8233862 7 0.007
68 213 0.0668216 0.8956221 8 0.008
69 215 0.2336432 0.8956221 8 0.008
70 216 0.3170540 0.8956221 8 0.008
71 218 0.4838756 0.8956221 9 0.009
72 219 0.5672864 0.8956221 7 0.007
73 220 0.6506972 0.8956221 10 0.010
74 221 0.7341080 0.8956221 7 0.007
75 222 0.8175188 0.8956221 15 0.015
76 227 0.0251162 0.9678579 12 0.012
77 228 0.1085270 0.9678579 6 0.006
78 231 0.3587594 0.9678579 7 0.007
79 232 0.4421702 0.9678579 14 0.014
80 235 0.6924026 0.9678579 8 0.008
81 236 0.7758134 0.9678579 7 0.007
82 243 0.0668216 1.0400938 9 0.009
83 244 0.1502324 1.0400938 9 0.009
84 246 0.3170540 1.0400938 8 0.008
85 247 0.4004648 1.0400938 8 0.008
86 248 0.4838756 1.0400938 7 0.007
87 258 0.1085270 1.1123297 13 0.013
88 259 0.1919378 1.1123297 14 0.014
89 260 0.2753486 1.1123297 6 0.006
90 261 0.3587594 1.1123297 7 0.007
91 262 0.4421702 1.1123297 10 0.010
92 263 0.5255810 1.1123297 10 0.010
$trimesh_data
# A tibble: 172 x 8
from to x_from y_from x_to y_to from_count to_count
<int> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 1 5 0.234 0.0288 0.192 0.101 10 11
2 5 12 0.192 0.101 0.234 0.173 11 10
3 1 2 0.234 0.0288 0.317 0.0288 10 8
4 1 6 0.234 0.0288 0.275 0.101 10 9
5 2 6 0.317 0.0288 0.275 0.101 8 9
6 12 13 0.234 0.173 0.317 0.173 10 10
7 6 12 0.275 0.101 0.234 0.173 9 10
8 2 3 0.317 0.0288 0.400 0.0288 8 8
9 13 21 0.317 0.173 0.359 0.245 10 8
10 13 14 0.317 0.173 0.400 0.173 10 11
# i 162 more rows
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