Hi,
Your example is not reproducible.
What is "d" in your command?
Regards,
Pascal
On 19/03/13 10:21, Noah Silverman wrote:> Hello,
>
> I have a matrix of simulated data that I want to plot as a 3D surface using
RGL. Have followed the documentation carefully, but my plot only contains a
weird "single slice" of the data.
>
> The actual RGL library and dependance seem fine as all of the demo code
plots beautifully.
>
> The actual command I'm using is: rgl.surface(x,z,d,
color="blue",alpha=0.5,shininess=128)
>
> The length of the x and z vectors match the dimensions of the y matrix.
>
> Can't figure out why I'm only getting a "slice" and not a
full 3D surface.
>
> Without digging into too much detail, here is what my data looks like.
>
> x
> [1] 0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300
1400 1500
> [17] 1600 1700 1800 1900 2000 2100 2200 2300 2400 2500
>
> z
> [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6
1.7 1.8 1.9
> [21] 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0
>
> y (Only first bit included here.)
> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13]
[,14]
> [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0
0
> [2,] 0 2 3 5 6 8 10 11 13 14 16 18 19
21
> [3,] 0 3 6 10 13 16 19 22 26 29 32 35 38
42
> [4,] 0 5 10 14 19 24 29 34 38 43 48 53 58
62
> [5,] 0 6 13 19 26 32 38 45 51 58 64 70 77
83
> [6,] 0 8 16 24 32 40 48 56 64 72 80 88 96
104
> [7,] 0 10 19 29 38 48 58 67 77 86 96 106 115
125
> [8,] 0 11 22 34 45 56 67 78 90 101 112 123 134
146
> [9,] 0 13 26 38 51 64 77 90 102 115 128 141 154
166
> [10,] 0 14 29 43 58 72 86 101 115 130 144 158 173
187
> [11,] 0 16 32 48 64 80 96 112 128 144 160 176 192
208
> [12,] 0 18 35 53 70 88 106 123 141 158 176 194 211
229
> [13,] 0 19 38 58 77 96 115 134 154 173 192 211 230
250
> [14,] 0 21 42 62 83 104 125 146 166 187 208 229 250
270
> [15,] 0 22 45 67 90 112 134 157 179 202 224 246 269
291
> [16,] 0 24 48 72 96 120 144 168 192 216 240 264 288
312
> [17,] 0 26 51 77 102 128 154 179 205 230 256 282 307
333
> [18,] 0 27 54 82 109 136 163 190 218 245 272 299 326
354
> [19,] 0 29 58 86 115 144 173 202 230 259 288 317 346
374
> [20,] 0 30 61 91 122 152 182 213 243 274 304 334 365
395
> [21,] 0 32 64 96 128 160 192 224 256 288 320 352 384
416
> [22,] 0 34 67 101 134 168 202 235 269 302 336 370 403
437
> [23,] 0 35 70 106 141 176 211 246 282 317 352 387 422
458
> [24,] 0 37 74 110 147 184 221 258 294 331 368 405 442
478
> [25,] 0 38 77 115 154 192 230 269 307 346 384 422 461
499
> [26,] 0 40 80 120 160 200 240 280 320 360 400 440 480
520
>
>
> --
> Noah Silverman, M.S.
> UCLA Department of Statistics
> 8117 Math Sciences Building
> Los Angeles, CA 90095
>
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