This function generates the hexagonal object.
Value
A object that contains numeric vector that contains binwidths (a1),
vertical distance (a2), bins along the x and y axes respectively (bins),
numeric vector that contains hexagonal
starting point coordinates all hexagonal bin centroids (centroids),
hexagonal coordinates of the full grid (hex_poly),
embedding components with their corresponding hexagon IDs (data_hb_id),
hex bins with their corresponding standardise counts (std_cts),
total number of hex bins (b), number of non-empty hex bins (m)
and points within each hexagon (pts_bins).
Examples
hex_binning(nldr_obj = scurve_model_obj$nldr_obj, b1 = 5, q = 0.1)
#> $a1
#> [1] 0.2641342
#>
#> $a2
#> [1] 0.2287469
#>
#> $bins
#> [1] 5 7
#>
#> $start_point
#> [1] -0.1000000 -0.1156801
#>
#> $centroids
#> # A tibble: 35 × 3
#> h c_x c_y
#> <int> <dbl> <dbl>
#> 1 1 -0.1 -0.116
#> 2 2 0.164 -0.116
#> 3 3 0.428 -0.116
#> 4 4 0.692 -0.116
#> 5 5 0.957 -0.116
#> 6 6 0.0321 0.113
#> 7 7 0.296 0.113
#> 8 8 0.560 0.113
#> 9 9 0.824 0.113
#> 10 10 1.09 0.113
#> # ℹ 25 more rows
#>
#> $hex_poly
#> h x y
#> 1 1 -0.1000000 0.03681781
#> 2 1 -0.2320671 -0.03943117
#> 3 1 -0.2320671 -0.19192912
#> 4 1 -0.1000000 -0.26817809
#> 5 1 0.0320671 -0.19192912
#> 6 1 0.0320671 -0.03943117
#> 7 2 0.1641342 0.03681781
#> 8 2 0.0320671 -0.03943117
#> 9 2 0.0320671 -0.19192912
#> 10 2 0.1641342 -0.26817809
#> 11 2 0.2962013 -0.19192912
#> 12 2 0.2962013 -0.03943117
#> 13 3 0.4282684 0.03681781
#> 14 3 0.2962013 -0.03943117
#> 15 3 0.2962013 -0.19192912
#> 16 3 0.4282684 -0.26817809
#> 17 3 0.5603355 -0.19192912
#> 18 3 0.5603355 -0.03943117
#> 19 4 0.6924026 0.03681781
#> 20 4 0.5603355 -0.03943117
#> 21 4 0.5603355 -0.19192912
#> 22 4 0.6924026 -0.26817809
#> 23 4 0.8244697 -0.19192912
#> 24 4 0.8244697 -0.03943117
#> 25 5 0.9565368 0.03681781
#> 26 5 0.8244697 -0.03943117
#> 27 5 0.8244697 -0.19192912
#> 28 5 0.9565368 -0.26817809
#> 29 5 1.0886039 -0.19192912
#> 30 5 1.0886039 -0.03943117
#> 31 6 0.0320671 0.26556474
#> 32 6 -0.1000000 0.18931576
#> 33 6 -0.1000000 0.03681781
#> 34 6 0.0320671 -0.03943117
#> 35 6 0.1641342 0.03681781
#> 36 6 0.1641342 0.18931576
#> 37 7 0.2962013 0.26556474
#> 38 7 0.1641342 0.18931576
#> 39 7 0.1641342 0.03681781
#> 40 7 0.2962013 -0.03943117
#> 41 7 0.4282684 0.03681781
#> 42 7 0.4282684 0.18931576
#> 43 8 0.5603355 0.26556474
#> 44 8 0.4282684 0.18931576
#> 45 8 0.4282684 0.03681781
#> 46 8 0.5603355 -0.03943117
#> 47 8 0.6924026 0.03681781
#> 48 8 0.6924026 0.18931576
#> 49 9 0.8244697 0.26556474
#> 50 9 0.6924026 0.18931576
#> 51 9 0.6924026 0.03681781
#> 52 9 0.8244697 -0.03943117
#> 53 9 0.9565368 0.03681781
#> 54 9 0.9565368 0.18931576
#> 55 10 1.0886039 0.26556474
#> 56 10 0.9565368 0.18931576
#> 57 10 0.9565368 0.03681781
#> 58 10 1.0886039 -0.03943117
#> 59 10 1.2206710 0.03681781
#> 60 10 1.2206710 0.18931576
#> 61 11 -0.1000000 0.49431166
#> 62 11 -0.2320671 0.41806269
#> 63 11 -0.2320671 0.26556474
#> 64 11 -0.1000000 0.18931576
#> 65 11 0.0320671 0.26556474
#> 66 11 0.0320671 0.41806269
#> 67 12 0.1641342 0.49431166
#> 68 12 0.0320671 0.41806269
#> 69 12 0.0320671 0.26556474
#> 70 12 0.1641342 0.18931576
#> 71 12 0.2962013 0.26556474
#> 72 12 0.2962013 0.41806269
#> 73 13 0.4282684 0.49431166
#> 74 13 0.2962013 0.41806269
#> 75 13 0.2962013 0.26556474
#> 76 13 0.4282684 0.18931576
#> 77 13 0.5603355 0.26556474
#> 78 13 0.5603355 0.41806269
#> 79 14 0.6924026 0.49431166
#> 80 14 0.5603355 0.41806269
#> 81 14 0.5603355 0.26556474
#> 82 14 0.6924026 0.18931576
#> 83 14 0.8244697 0.26556474
#> 84 14 0.8244697 0.41806269
#> 85 15 0.9565368 0.49431166
#> 86 15 0.8244697 0.41806269
#> 87 15 0.8244697 0.26556474
#> 88 15 0.9565368 0.18931576
#> 89 15 1.0886039 0.26556474
#> 90 15 1.0886039 0.41806269
#> 91 16 0.0320671 0.72305859
#> 92 16 -0.1000000 0.64680962
#> 93 16 -0.1000000 0.49431166
#> 94 16 0.0320671 0.41806269
#> 95 16 0.1641342 0.49431166
#> 96 16 0.1641342 0.64680962
#> 97 17 0.2962013 0.72305859
#> 98 17 0.1641342 0.64680962
#> 99 17 0.1641342 0.49431166
#> 100 17 0.2962013 0.41806269
#> 101 17 0.4282684 0.49431166
#> 102 17 0.4282684 0.64680962
#> 103 18 0.5603355 0.72305859
#> 104 18 0.4282684 0.64680962
#> 105 18 0.4282684 0.49431166
#> 106 18 0.5603355 0.41806269
#> 107 18 0.6924026 0.49431166
#> 108 18 0.6924026 0.64680962
#> 109 19 0.8244697 0.72305859
#> 110 19 0.6924026 0.64680962
#> 111 19 0.6924026 0.49431166
#> 112 19 0.8244697 0.41806269
#> 113 19 0.9565368 0.49431166
#> 114 19 0.9565368 0.64680962
#> 115 20 1.0886039 0.72305859
#> 116 20 0.9565368 0.64680962
#> 117 20 0.9565368 0.49431166
#> 118 20 1.0886039 0.41806269
#> 119 20 1.2206710 0.49431166
#> 120 20 1.2206710 0.64680962
#> 121 21 -0.1000000 0.95180552
#> 122 21 -0.2320671 0.87555654
#> 123 21 -0.2320671 0.72305859
#> 124 21 -0.1000000 0.64680962
#> 125 21 0.0320671 0.72305859
#> 126 21 0.0320671 0.87555654
#> 127 22 0.1641342 0.95180552
#> 128 22 0.0320671 0.87555654
#> 129 22 0.0320671 0.72305859
#> 130 22 0.1641342 0.64680962
#> 131 22 0.2962013 0.72305859
#> 132 22 0.2962013 0.87555654
#> 133 23 0.4282684 0.95180552
#> 134 23 0.2962013 0.87555654
#> 135 23 0.2962013 0.72305859
#> 136 23 0.4282684 0.64680962
#> 137 23 0.5603355 0.72305859
#> 138 23 0.5603355 0.87555654
#> 139 24 0.6924026 0.95180552
#> 140 24 0.5603355 0.87555654
#> 141 24 0.5603355 0.72305859
#> 142 24 0.6924026 0.64680962
#> 143 24 0.8244697 0.72305859
#> 144 24 0.8244697 0.87555654
#> 145 25 0.9565368 0.95180552
#> 146 25 0.8244697 0.87555654
#> 147 25 0.8244697 0.72305859
#> 148 25 0.9565368 0.64680962
#> 149 25 1.0886039 0.72305859
#> 150 25 1.0886039 0.87555654
#> 151 26 0.0320671 1.18055245
#> 152 26 -0.1000000 1.10430347
#> 153 26 -0.1000000 0.95180552
#> 154 26 0.0320671 0.87555654
#> 155 26 0.1641342 0.95180552
#> 156 26 0.1641342 1.10430347
#> 157 27 0.2962013 1.18055245
#> 158 27 0.1641342 1.10430347
#> 159 27 0.1641342 0.95180552
#> 160 27 0.2962013 0.87555654
#> 161 27 0.4282684 0.95180552
#> 162 27 0.4282684 1.10430347
#> 163 28 0.5603355 1.18055245
#> 164 28 0.4282684 1.10430347
#> 165 28 0.4282684 0.95180552
#> 166 28 0.5603355 0.87555654
#> 167 28 0.6924026 0.95180552
#> 168 28 0.6924026 1.10430347
#> 169 29 0.8244697 1.18055245
#> 170 29 0.6924026 1.10430347
#> 171 29 0.6924026 0.95180552
#> 172 29 0.8244697 0.87555654
#> 173 29 0.9565368 0.95180552
#> 174 29 0.9565368 1.10430347
#> 175 30 1.0886039 1.18055245
#> 176 30 0.9565368 1.10430347
#> 177 30 0.9565368 0.95180552
#> 178 30 1.0886039 0.87555654
#> 179 30 1.2206710 0.95180552
#> 180 30 1.2206710 1.10430347
#> 181 31 -0.1000000 1.40929937
#> 182 31 -0.2320671 1.33305040
#> 183 31 -0.2320671 1.18055245
#> 184 31 -0.1000000 1.10430347
#> 185 31 0.0320671 1.18055245
#> 186 31 0.0320671 1.33305040
#> 187 32 0.1641342 1.40929937
#> 188 32 0.0320671 1.33305040
#> 189 32 0.0320671 1.18055245
#> 190 32 0.1641342 1.10430347
#> 191 32 0.2962013 1.18055245
#> 192 32 0.2962013 1.33305040
#> 193 33 0.4282684 1.40929937
#> 194 33 0.2962013 1.33305040
#> 195 33 0.2962013 1.18055245
#> 196 33 0.4282684 1.10430347
#> 197 33 0.5603355 1.18055245
#> 198 33 0.5603355 1.33305040
#> 199 34 0.6924026 1.40929937
#> 200 34 0.5603355 1.33305040
#> 201 34 0.5603355 1.18055245
#> 202 34 0.6924026 1.10430347
#> 203 34 0.8244697 1.18055245
#> 204 34 0.8244697 1.33305040
#> 205 35 0.9565368 1.40929937
#> 206 35 0.8244697 1.33305040
#> 207 35 0.8244697 1.18055245
#> 208 35 0.9565368 1.10430347
#> 209 35 1.0886039 1.18055245
#> 210 35 1.0886039 1.33305040
#>
#> $data_hb_id
#> # A tibble: 1,000 × 4
#> emb1 emb2 ID h
#> <dbl> <dbl> <int> <int>
#> 1 0.277 0.913 1 27
#> 2 0.697 0.538 2 19
#> 3 0.779 0.399 3 14
#> 4 0.173 0.953 4 27
#> 5 0.218 0.983 5 27
#> 6 0.593 1.05 6 28
#> 7 0.180 0.210 7 12
#> 8 0.976 0.571 8 20
#> 9 0.803 0.829 9 24
#> 10 0.932 0.410 10 15
#> # ℹ 990 more rows
#>
#> $std_cts
#> # A tibble: 22 × 3
#> h n_h w_h
#> <int> <int> <dbl>
#> 1 6 2 0.002
#> 2 7 92 0.092
#> 3 8 64 0.064
#> 4 9 66 0.066
#> 5 12 42 0.042
#> 6 13 32 0.032
#> 7 14 69 0.069
#> 8 15 56 0.056
#> 9 18 28 0.028
#> 10 19 69 0.069
#> # ℹ 12 more rows
#>
#> $b
#> [1] 35
#>
#> $m
#> [1] 22
#>
#> $pts_bins
#> # A tibble: 22 × 2
#> h pts_list
#> <int> <list>
#> 1 6 <int [2]>
#> 2 7 <int [92]>
#> 3 8 <int [64]>
#> 4 9 <int [66]>
#> 5 12 <int [42]>
#> 6 13 <int [32]>
#> 7 14 <int [69]>
#> 8 15 <int [56]>
#> 9 18 <int [28]>
#> 10 19 <int [69]>
#> # ℹ 12 more rows
#>
#> attr(,"class")
#> [1] "hex_bin_obj"