Returns the position of edges in the network
Methods
- list("signature(net = \"network\")")
Returns a matrix with the position of the node. This matrix can then be used as an argument in the plot function.
Examples
data(Net)
position(Net)
#> nom
#> [1,] 1 77.46997 156.9371
#> [2,] 2 73.41193 148.3426
#> [3,] 3 78.20901 153.4573
#> [4,] 4 74.85340 147.6659
#> [5,] 5 83.44547 145.6638
#> [6,] 6 80.35849 155.5171
#> [7,] 7 75.86694 154.7806
#> [8,] 8 81.57897 156.3231
#> [9,] 9 75.98990 156.6662
#> [10,] 10 78.31870 149.8716
#> [11,] 11 78.34996 150.8620
#> [12,] 12 80.95375 148.3444
#> [13,] 14 82.59770 157.4199
#> [14,] 16 79.75868 148.3432
#> [15,] 17 83.61067 153.8689
#> [16,] 18 82.37833 156.2044
#> [17,] 20 77.44993 157.9903
#> [18,] 21 75.35504 157.3956
#> [19,] 22 75.88524 144.0366
#> [20,] 23 76.84126 154.9939
#> [21,] 24 77.14492 151.9194
#> [22,] 25 72.08948 146.1022
#> [23,] 26 75.59825 150.5932
#> [24,] 27 78.31967 157.0885
#> [25,] 28 77.06044 155.6108
#> [26,] 29 79.14918 157.7473
#> [27,] 30 76.53113 154.5199
#> [28,] 31 75.41251 149.2612
#> [29,] 32 80.50145 151.0859
#> [30,] 33 78.29143 147.6480
#> [31,] 34 73.28734 147.2623
#> [32,] 35 77.25397 148.2302
#> [33,] 36 81.75616 152.6557
#> [34,] 37 82.06085 146.2995
#> [35,] 38 75.21594 154.3973
#> [36,] 39 82.81504 154.1239
#> [37,] 40 83.43239 144.1633
#> [38,] 41 83.56811 155.8781
#> [39,] 42 81.35389 154.0321
#> [40,] 43 82.28192 158.2915
#> [41,] 44 75.08648 145.4784
#> [42,] 45 79.32739 149.1486
#> [43,] 46 84.12278 150.4945
#> [44,] 47 80.91046 152.7952
#> [45,] 48 84.29274 156.2554
#> [46,] 49 79.73959 158.0127
#> [47,] 50 80.24042 156.2906
#> [48,] 51 79.25495 146.3922
#> [49,] 52 83.56600 153.0075
#> [50,] 53 81.83580 151.8384
#> [51,] 54 84.32090 151.7896
#> [52,] 55 77.27711 150.8059
#> [53,] 56 83.47931 151.9744
#> [54,] 57 79.09491 148.0179
#> [55,] 58 78.57701 155.2934
#> [56,] 59 81.25469 151.5470
#> [57,] 60 79.72995 148.8995
#> [58,] 61 85.07331 152.1485
#> [59,] 62 74.79461 155.9138
#> [60,] 63 73.96161 152.7643
#> [61,] 64 80.50686 154.2330
#> [62,] 65 79.82471 150.4433
#> [63,] 66 82.80514 151.1132
#> [64,] 67 80.38765 150.5509
#> [65,] 68 74.94081 153.0034
#> [66,] 69 79.80670 151.9585
#> [67,] 70 77.63792 155.4033
#> [68,] 71 82.08996 147.9185
#> [69,] 72 77.60293 152.9320
#> [70,] 73 79.68958 152.5670
#> [71,] 74 82.76072 150.0575
#> [72,] 75 86.28499 150.0978
#> [73,] 76 86.36585 150.9036
#> [74,] 77 85.57841 148.7860
#> [75,] 78 75.76539 151.3881
#> [76,] 79 75.91043 152.7741
#> [77,] 80 78.93664 150.0503
#> [78,] 81 86.14024 149.3583
#> [79,] 82 83.50836 148.3274
#> [80,] 83 73.38851 150.0830
#> [81,] 84 72.05803 152.6488
#> [82,] 85 81.84141 149.3441
#> [83,] 86 82.59948 149.4024
#> [84,] 87 79.50717 154.7953
#> [85,] 88 81.71096 150.7609
#> [86,] 89 77.06174 149.9452
#> [87,] 90 76.57152 148.1705
#> [88,] 91 77.23058 149.2268
#> [89,] 92 74.70478 150.4030
#> [90,] 93 80.33163 145.9464
#> [91,] 94 85.75209 153.9310
#> [92,] 95 82.77499 152.8827
#> [93,] 96 84.61277 144.8705
#> [94,] 97 72.25790 153.6752
#> [95,] 98 72.76612 145.3700
#> [96,] 99 76.83267 143.2486
#> [97,] 100 81.29842 145.8933