Thank you for the pointer. Thats quite a list, and I expect I will have to concede defeat, lacking the skill set to adapt my use of the package.
On Apr 2, 2014, at 9:11 PM, Prof Brian Ripley <[email protected]> wrote: > Package ptinpoly has generated hangs/segfaults in its checks for years, > across platforms. That is why there are all the exclusions at > http://cran.r-project.org/web/checks/check_results_ptinpoly.html . > > On 03/04/2014 01:48, Don McKenzie wrote: >> I have a 3D ordination with two groups, and want to identify the points in >> one group that lie within the 3D convex hull of the other. I would >> appreciate any enlightenment about why the command at the end (below in a >> toy example) crashes R when I try to ID the points in the hull using >> pip3d(), from package ptinpoly. convhulln() is from package geometry. Have >> I not supplied the right Faces argument to pip3d()? >> >> The objects are not large and are reproduced at the bottom of this message. >> >> Thanks >> >> ------------------------ >>> sessionInfo() >> R version 3.0.3 (2014-03-06) >> Platform: x86_64-apple-darwin10.8.0 (64-bit) >> >> locale: >> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 >> >> attached base packages: >> [1] stats graphics grDevices utils datasets methods base >> >> other attached packages: >> [1] ptinpoly_2.0 misc3d_0.8-4 geometry_0.3-4 magic_1.5-6 abind_1.4-0 >> >> loaded via a namespace (and not attached): >> [1] tools_3.0.3 >> >> >> >>> set1 <- matrix(rnorm(99),ncol=3) >>> ch1 <- convhulln(set1) >> >> Output completed. Verifying that all points are below outer planes of >> all facets. Will make 594 distance computations. >> >>> set2 <- matrix(rnorm(33)/2,ncol=3) >> >>> temp.out <- pip3d(set1,ch1,set2) >> >> R CRASHES HERE >> >> ---------------------------------- >> >> >> Don McKenzie >> Research Ecologist >> Pacific Wildland Fire Sciences Lab >> US Forest Service >> >> Affiliate Professor >> School of Environmental and Forest Sciences >> University of Washington >> [email protected] >> >> >> >> >> >> set1 >> [,1] [,2] [,3] >> [1,] -0.36381788 0.96624676 -1.09251167 >> [2,] -1.09242946 -0.82002293 0.42005666 >> [3,] 0.93852498 1.18059117 -0.34816811 >> [4,] -0.77413132 1.06018374 -0.37589340 >> [5,] -1.67759103 -1.52469985 0.85310979 >> [6,] 0.81729494 -0.18900503 0.83172169 >> [7,] 0.30546957 0.97549183 -1.30815121 >> [8,] 0.22201517 -0.38260850 -0.05412764 >> [9,] 0.48817331 1.30314678 0.19143994 >> [10,] 1.89836307 -0.34575059 0.55599170 >> [11,] 0.20776401 0.04977816 -0.78034565 >> [12,] -0.76819740 0.24554574 0.40398017 >> [13,] 0.38369531 1.07688341 -0.22686023 >> [14,] 0.31806928 1.15482656 -0.99259846 >> [15,] 1.07142182 -1.03495199 -0.15650968 >> [16,] -1.24667302 -0.35217160 0.71090188 >> [17,] -0.92079326 -1.44075490 -0.42838857 >> [18,] 0.16907840 0.37587569 1.34994069 >> [19,] 0.50947015 1.81852997 -1.83315646 >> [20,] 0.52015187 1.56904146 0.90679914 >> [21,] -0.04261864 -1.22145642 0.51953397 >> [22,] -0.86611946 -1.21106313 -0.86571463 >> [23,] -0.13147715 0.07893287 0.83513033 >> [24,] -0.63488792 -0.89396994 0.70103420 >> [25,] -0.11370015 2.00351619 -0.17652412 >> [26,] -1.04527261 -0.14570830 1.64893662 >> [27,] 0.46238598 -0.07990767 0.16431874 >> [28,] -0.72396505 1.45081393 -0.91068823 >> [29,] -0.48892499 -1.05289633 1.36531224 >> [30,] 1.83781721 1.50964339 1.85100986 >> [31,] 1.00023790 -0.92779325 -2.16783507 >> [32,] -0.51429532 -1.44766548 -1.41456589 >> [33,] -0.93249545 -0.21845332 0.75023990 >> >>> ch1 >> [,1] [,2] [,3] >> [1,] 15 31 10 >> [2,] 29 30 10 >> [3,] 29 15 10 >> [4,] 26 28 25 >> [5,] 26 29 5 >> [6,] 26 29 30 >> [7,] 32 15 31 >> [8,] 19 28 25 >> [9,] 19 32 31 >> [10,] 19 32 28 >> [11,] 19 30 25 >> [12,] 19 31 10 >> [13,] 19 30 10 >> [14,] 21 29 5 >> [15,] 21 29 15 >> [16,] 21 32 5 >> [17,] 21 32 15 >> [18,] 20 30 25 >> [19,] 20 26 25 >> [20,] 20 26 30 >> [21,] 16 28 5 >> [22,] 16 26 5 >> [23,] 16 26 28 >> [24,] 22 28 5 >> [25,] 22 32 5 >> [26,] 22 32 28 >> >>> set2 >> [,1] [,2] [,3] >> [1,] 0.061298933 0.561676607 -0.29029312 >> [2,] -0.227292687 0.980185118 0.21751216 >> [3,] 0.182482967 0.913803801 -0.08308208 >> [4,] -0.143596376 -0.007469921 -0.33050543 >> [5,] -0.354096826 0.023132113 0.45463150 >> [6,] 0.006247011 0.183155253 0.97496500 >> [7,] 0.128600720 -0.249603537 -0.24710206 >> [8,] -0.418782299 -0.325201099 0.28908138 >> [9,] 0.231829464 0.343250895 0.65134735 >> [10,] -0.392597726 0.126741875 0.21411363 >> [11,] -0.051290704 -1.007826669 0.92808143 >> >> _______________________________________________ >> R-SIG-Mac mailing list >> [email protected] >> https://stat.ethz.ch/mailman/listinfo/r-sig-mac >> > > > -- > Brian D. Ripley, [email protected] > Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ > University of Oxford, Tel: +44 1865 272861 (self) > 1 South Parks Road, +44 1865 272866 (PA) > Oxford OX1 3TG, UK Fax: +44 1865 272595 Don McKenzie Research Ecologist Pacific Wildland Fire Sciences Lab US Forest Service Affiliate Professor School of Environmental and Forest Sciences University of Washington [email protected] [[alternative HTML version deleted]]
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