spiralData.Rdn-2 points are drawn from a normal distribution with mean=0, sd=1, the points in the final two direction are sampled along a spiral by samping the angle from a normal distribution with mean=0, sd=2*pi (absolute values are used to fix the orientation of the spiral).
spiralData(n, p)sample points in matrix format
spiralData(4, 100)
#> [,1] [,2] [,3] [,4]
#> v -0.478355050 0.568878744 1.135767153 0.854174038
#> v -0.003301496 0.416918015 -0.392390315 0.065013723
#> v -0.062925119 -1.636219349 0.409896976 0.726343166
#> v -0.408686195 -0.094117059 -0.385657824 0.079640232
#> v -0.828195377 0.396813229 0.008801339 0.253455724
#> v 0.627437586 -0.805206472 1.196010446 -0.544067836
#> v 0.717082011 1.792486559 0.576158134 0.563234593
#> v 1.609947684 1.732799496 -0.144969024 0.889816437
#> v 0.424007988 -0.137778131 -0.388436750 -0.274595557
#> v -0.722073272 0.072762483 -1.011407874 0.170876115
#> v -0.316206077 -1.414721408 1.342873747 -0.116908715
#> v 0.705734028 -0.790427631 0.030706348 -0.575748891
#> v 2.078375621 1.919134900 0.131161377 0.067380986
#> v 0.267751527 0.436290736 0.215214776 0.832747047
#> v -1.253055561 1.765028630 0.107940352 0.168495947
#> v 0.898874217 -0.704995332 0.564528403 0.578145726
#> v -1.974322214 -1.244772830 0.733581652 0.145920322
#> v 0.579097050 -1.037890010 -1.001161577 -0.408241124
#> v 0.101959622 2.324238302 -0.716283035 1.387383316
#> v -1.293149956 -0.045018855 0.074608671 0.210104630
#> v 0.480623395 2.017342464 0.285276581 0.801996252
#> v 0.656575520 1.026297846 -0.423415803 -0.054010665
#> v 1.120615649 0.399897655 0.715203961 -0.069748844
#> v -0.502562184 0.987148440 0.530898960 1.378231500
#> v -0.165042212 -0.686040800 0.645152605 -0.248894676
#> v -0.164042843 -1.302339410 -0.091968643 -0.546899421
#> v 1.390088740 0.681840626 -0.386403374 0.078097177
#> v 0.420921089 -0.800331265 -0.405837275 0.029484492
#> v 0.539004516 1.435171017 -0.019658005 0.263786653
#> v -1.418623721 -0.513792720 0.081738894 -0.579515044
#> v 1.403682339 -0.015804912 0.735011476 0.108330478
#> v -2.116392160 0.150371437 -0.423604366 -0.055871104
#> v -0.905454844 -0.749986903 0.135361206 -0.578597526
#> v -0.559681870 -1.390851305 -0.056513143 0.271768387
#> v -0.480284997 -0.967621014 0.212578495 -1.198405224
#> v -0.069089037 -0.426188249 -0.013358404 1.514539772
#> v -0.914170952 -0.800524582 0.011907840 -0.573192382
#> v 0.660649173 1.727695639 0.120653857 -0.579341093
#> v -0.781818406 -0.125797549 0.734513038 0.070531296
#> v 0.294676272 -0.296458790 0.270561313 -0.554135407
#> v 1.691546077 -1.476545705 0.618469716 -0.292485561
#> v -0.613832093 0.617598091 0.301702433 -0.543805060
#> v -1.133375927 -0.156378319 0.010966905 0.252500998
#> v -1.129264413 -0.062192485 -0.404706412 0.032919186
#> v -0.054636953 -0.198624209 -0.970015940 0.292588006
#> v 0.198434624 -1.391001690 0.054686543 1.509103970
#> v -0.231792440 -0.686551360 -0.401102466 0.043223083
#> v -2.243508266 -0.381078571 0.128949824 0.115202082
#> v 0.892492885 1.808520401 0.682884373 0.373540927
#> v 1.452055280 2.556923589 0.694598066 0.341515199
#> v -1.178914989 1.075417132 0.126248614 0.044429020
#> v -0.234343833 0.950759734 0.130794019 0.064608055
#> v 0.663527998 -0.816198742 -0.080644360 0.274077828
#> v 1.346357662 -0.280015436 0.128800945 0.053867261
#> v -0.132833831 0.629361770 -0.317551091 -0.389958146
#> v -0.104018599 -1.388668827 -0.345928650 0.144016643
#> v 0.315862087 0.194610535 -0.371534624 0.106014158
#> v 0.812534989 0.275042593 0.103701857 0.003917462
#> v 2.010186412 0.313808823 0.358852573 -0.519825762
#> v -0.134641045 1.470832200 -1.014333210 0.159833253
#> v 0.204499683 -0.341768421 0.688112862 -1.052478424
#> v -0.205909535 1.502231278 0.012372570 0.251867538
#> v 0.053455720 -0.125146310 0.003554784 0.255664601
#> v -0.626612578 0.682877534 -0.397845612 -0.251101308
#> v -0.814967320 -0.345798987 0.127059612 0.047128024
#> v -0.566766181 -0.042837457 -0.178326169 0.887488885
#> v 0.967582242 1.029048853 0.732521193 1.264331104
#> v -0.303348223 0.179268039 -0.894919827 0.439143322
#> v -0.619946595 -0.131842450 -0.029507263 0.266479027
#> v -1.456778518 0.234340520 0.665746735 -0.209269313
#> v 1.898439401 -1.042770546 -0.471114933 0.811127341
#> v 1.764724810 0.506063430 -0.286858605 -0.423771199
#> v 0.667508839 1.372876146 -0.392392316 -0.265165606
#> v 0.809307437 -0.929351716 0.695263056 -0.137694465
#> v -0.563483049 1.888488707 0.128762851 0.116089482
#> v -0.049778439 0.412530895 -0.166062427 0.265320004
#> v -0.219463937 -0.279921977 0.086409306 0.197858236
#> v -1.131041190 0.599068143 -0.178099994 0.261979568
#> v 0.328683628 -0.002001793 -0.701878162 -0.889069045
#> v 0.830144580 1.311300782 -0.084526838 -0.549513393
#> v -0.388345065 -1.042408354 -0.035594589 -0.563811597
#> v -0.379227989 0.855040406 0.618549692 -0.292365280
#> v -0.511420306 0.575606727 0.359337371 0.760660471
#> v 0.873922726 0.752654962 -0.335794525 -0.366494722
#> v 0.489051671 0.493466172 1.355687435 0.211828267
#> v -0.115346633 0.402961199 -0.448321347 0.820944079
#> v 0.850032275 1.105681923 -0.291651665 0.200513450
#> v -0.123141511 0.448847720 1.273095491 0.581131888
#> v -1.249536842 -0.219531175 0.733346872 0.149480694
#> v -1.582876585 0.084967784 0.209898267 0.834780558
#> v -0.023462572 0.084693918 -0.138235762 0.271027122
#> v 0.505923564 0.415272046 0.369864885 0.753955463
#> v 0.033445330 -0.679873381 0.707449019 -0.099261153
#> v 1.772477385 0.277933293 -0.399376298 0.047856404
#> v -1.791060602 0.530663702 0.571268563 0.569592452
#> v 0.040226151 -1.187967396 0.011111736 1.512941457
#> v 1.553161749 0.323021948 0.113133611 0.016289685
#> v -0.249427874 -2.172319120 -0.502901402 0.796210125
#> v -0.980485754 -1.792780676 -0.424098701 -0.061208846
#> v -1.591328479 0.806263133 -0.213969585 -0.484508726