Hello all,
I have a set of points in 3D space that represent vertices of a
non-convex polyhedron. I would like to plot this polyhedron, and have
been trying to do so with rgl.triangles, but to no avail. I imagine I
don't understand what rgl.triangles expects for arguments. I have
constructed the triangles myself, and have the three vertices of each
triangle. I am then passing these to rgl.triangles in the x,y & z
arguments.
I end up with unexpected results (see http://i.imgur.com/BaKfzn7.png).
Might someone advise me about the structure of arguments that
rgl.triangles expects (or perhaps a better way to go about this)?
?rgl.triangles doesn't help much with this particular issue...
Thanks,
Allie
The code, where rows 2,3,4 are one triangle, 5,6,7 the next, etc
(apologies - don't know how to serialize a dataframe to make it easy to
suck into one's environment):
rgl.triangles(tri_df[,1],tri_df[,2],tri_df[,3],col=heat.colors(nrow(tri_df)),alpha=.2)
> tri_df
x y z
2 -2.9970624 -0.1327280 8.0
3 -1.3358202 3.8762849 4.9
4 3.5380065 0.6652143 9.1
5 -1.3358202 3.8762849 4.9
6 1.4644874 3.6145922 5.3
7 3.5380065 0.6652143 9.1
8 1.4644874 3.6145922 5.3
9 1.9606671 -3.8269811 4.5
10 3.5380065 0.6652143 9.1
11 1.9606671 -3.8269811 4.5
12 -3.5337687 3.6772923 3.9
13 3.5380065 0.6652143 9.1
14 -3.5337687 3.6772923 3.9
15 -5.6586500 1.2726665 3.5
16 3.5380065 0.6652143 9.1
17 -5.6586500 1.2726665 3.5
18 3.8327817 -2.8895994 3.4
19 3.5380065 0.6652143 9.1
20 3.8327817 -2.8895994 3.4
21 6.0806691 -0.4852461 2.2
22 3.5380065 0.6652143 9.1
23 6.0806691 -0.4852461 2.2
24 -0.5109254 -6.7807784 0.5
25 3.5380065 0.6652143 9.1
26 -0.5109254 -6.7807784 0.5
27 2.3503422 -6.2742244 1.8
28 3.5380065 0.6652143 9.1
29 2.3503422 -6.2742244 1.8
30 5.4741865 -1.1803740 0.3
31 3.5380065 0.6652143 9.1
32 5.4741865 -1.1803740 0.3
33 5.7888812 -0.3589635 2.7
34 3.5380065 0.6652143 9.1
35 5.7888812 -0.3589635 2.7
36 -3.1939122 -2.4080958 5.4
37 3.5380065 0.6652143 9.1
38 -3.1939122 -2.4080958 5.4
39 -1.4732303 -3.9331403 4.9
40 3.5380065 0.6652143 9.1
41 -1.4732303 -3.9331403 4.9
42 -3.4863074 0.3092904 6.8
43 3.5380065 0.6652143 9.1
44 -3.4863074 0.3092904 6.8
45 0.8019969 -2.2620347 7.2
46 3.5380065 0.6652143 9.1
47 0.8019969 -2.2620347 7.2
48 -2.9970624 -0.1327280 8.0
49 3.5380065 0.6652143 9.1
50 -1.3358202 3.8762849 4.9
51 -2.9970624 -0.1327280 8.0
52 6.4508128 -2.4488802 0.3
53 1.4644874 3.6145922 5.3
54 -1.3358202 3.8762849 4.9
55 6.4508128 -2.4488802 0.3
56 1.9606671 -3.8269811 4.5
57 1.4644874 3.6145922 5.3
58 6.4508128 -2.4488802 0.3
59 -3.5337687 3.6772923 3.9
60 1.9606671 -3.8269811 4.5
61 6.4508128 -2.4488802 0.3
62 -5.6586500 1.2726665 3.5
63 -3.5337687 3.6772923 3.9
64 6.4508128 -2.4488802 0.3
65 3.8327817 -2.8895994 3.4
66 -5.6586500 1.2726665 3.5
67 6.4508128 -2.4488802 0.3
68 6.0806691 -0.4852461 2.2
69 3.8327817 -2.8895994 3.4
70 6.4508128 -2.4488802 0.3
71 -0.5109254 -6.7807784 0.5
72 6.0806691 -0.4852461 2.2
73 6.4508128 -2.4488802 0.3
74 2.3503422 -6.2742244 1.8
75 -0.5109254 -6.7807784 0.5
76 6.4508128 -2.4488802 0.3
77 5.4741865 -1.1803740 0.3
78 2.3503422 -6.2742244 1.8
79 6.4508128 -2.4488802 0.3
80 5.7888812 -0.3589635 2.7
81 5.4741865 -1.1803740 0.3
82 6.4508128 -2.4488802 0.3
83 -3.1939122 -2.4080958 5.4
84 5.7888812 -0.3589635 2.7
85 6.4508128 -2.4488802 0.3
86 -1.4732303 -3.9331403 4.9
87 -3.1939122 -2.4080958 5.4
88 6.4508128 -2.4488802 0.3
89 -3.4863074 0.3092904 6.8
90 -1.4732303 -3.9331403 4.9
91 6.4508128 -2.4488802 0.3
92 0.8019969 -2.2620347 7.2
93 -3.4863074 0.3092904 6.8
94 6.4508128 -2.4488802 0.3
95 -2.9970624 -0.1327280 8.0
96 0.8019969 -2.2620347 7.2
97 6.4508128 -2.4488802 0.3