[PD] cumulative distribution?

[Alexandre Quessy]

Le 05-11-09, à 14:14, pete mcpartlan a écrit :

> thanks martin,
> this seems to work and is roughly what i need-
>
> what is the best way to write this into an array? is there a way to 
> send a table an eqation other than cosinesum etc. using [tabwrite] 
> always seems to have gaps...
>
> thanks
>
> pete
>




Hi Pete, try the following patch (copy-paste it in a text file 
gaussian.pd):

It needs maybe a unique id, though, needs to be perfected a bit. Also, 
I dont know why the first and last indexes give "number + ", which 
stands for somewhat infinite....

alex







#N canvas 259 119 585 430 10;
#N canvas 0 0 1064 601 graph1 0;
#X array tab-gaussian 515 float 3;
#A 0 3.7649e-05 0 3.7649e-05 0.00015059 0.000338807 0.000602271 
0.000940942
0.00135477 0.00184369 0.00240763 0.00304651 0.00376023 0.00454867 
0.00541174
0.00634928 0.00736117 0.00844724 0.00960734 0.0108413 0.0121489 0.01353
0.0149843 0.0165117 0.0181119 0.0197847 0.0215298 0.0233469 0.0252359
0.0271963 0.0292279 0.0313304 0.0335035 0.0357469 0.0380602 0.040443
0.0428951 0.0454159 0.0480053 0.0506627 0.0533878 0.0561801 0.0590393
0.0619649 0.0649564 0.0680135 0.0711356 0.0743223 0.0775731 0.0808875
0.0842651 0.0877052 0.0912074 0.0947712 0.0983961 0.102081 0.105827
0.109631 0.113495 0.117416 0.121395 0.125432 0.129524 0.133673 0.137876
0.142134 0.146446 0.150812 0.155229 0.159699 0.16422 0.168792 0.173413
0.178084 0.182803 0.18757 0.192384 0.197244 0.20215 0.207101 0.212096
0.217134 0.222215 0.227337 0.232501 0.237705 0.242948 0.24823 0.253551
0.258908 0.264301 0.26973 0.275194 0.280691 0.286222 0.291785 0.297379
0.303004 0.308658 0.314341 0.320052 0.32579 0.331555 0.337344 0.343159
0.348997 0.354857 0.36074 0.366643 0.372567 0.378509 0.38447 0.390449
0.396444 0.402454 0.408479 0.414518 0.42057 0.426634 0.432709 0.438794
0.444888 0.450991 0.457101 0.463217 0.469339 0.475466 0.481596 0.487729
0.493864 0.499999 0.506135 0.51227 0.518403 0.524533 0.53066 0.536782
0.542898 0.549008 0.55511 0.561205 0.56729 0.573364 0.579428 0.58548
0.591519 0.597544 0.603555 0.60955 0.615528 0.621489 0.627432 0.633356
0.639259 0.645142 0.651002 0.65684 0.662654 0.668444 0.674209 0.679947
0.685658 0.691341 0.696995 0.70262 0.708214 0.713777 0.719307 0.724805
0.730269 0.735698 0.741091 0.746448 0.751768 0.757051 0.762294 0.767498
0.772662 0.777784 0.782865 0.787903 0.792898 0.797849 0.802755 0.807615
0.812429 0.817196 0.821915 0.826586 0.831207 0.835779 0.8403 0.84477
0.849187 0.853553 0.857865 0.862123 0.866326 0.870475 0.874568 0.878604
0.882583 0.886505 0.890368 0.894173 0.897918 0.901603 0.905228 0.908792
0.912294 0.915734 0.919112 0.922426 0.925677 0.928864 0.931986 0.935043
0.938035 0.94096 0.943819 0.946612 0.949337 0.951994 0.954584 0.957104
0.959556 0.961939 0.964253 0.966496 0.968669 0.970772 0.972803 0.974764
0.976653 0.97847 0.980215 0.981888 0.983488 0.985015 0.98647 0.987851
0.989158 0.990392 0.991553 0.992639 0.99365 0.994588 0.995451 0.99624
0.996953 0.997592 0.998156 0.998645 0.999059 0.999398 0.999661 0.999849
0.999962 1 0.999962 0.999849 0.999661 0.999398 0.999059 0.998645 
0.998156
0.997593 0.996954 0.99624 0.995452 0.994588 0.993651 0.992639 0.991553
0.990393 0.989159 0.987851 0.98647 0.985016 0.983489 0.981888 0.980216
0.978471 0.976653 0.974765 0.972804 0.970773 0.96867 0.966497 0.964254
0.96194 0.959558 0.957105 0.954585 0.951995 0.949338 0.946613 0.943821
0.940961 0.938036 0.935044 0.931987 0.928865 0.925678 0.922428 0.919113
0.915736 0.912296 0.908793 0.90523 0.901605 0.897919 0.894174 0.89037
0.886506 0.882585 0.878605 0.874569 0.870477 0.866328 0.862125 0.857867
0.853555 0.849189 0.844772 0.840302 0.835781 0.831209 0.826588 0.821917
0.817198 0.812431 0.807617 0.802757 0.797851 0.7929 0.787906 0.782867
0.777787 0.772664 0.7675 0.762296 0.757053 0.751771 0.746451 0.741093
0.7357 0.730271 0.724807 0.71931 0.713779 0.708216 0.702622 0.696998
0.691343 0.68566 0.679949 0.674211 0.668447 0.662657 0.656843 0.651005
0.645144 0.639262 0.633358 0.627435 0.621492 0.615531 0.609552 0.603558
0.597547 0.591522 0.585483 0.579431 0.573367 0.567292 0.561207 0.555113
0.549011 0.542901 0.536784 0.530662 0.524536 0.518406 0.512273 0.506138
0.500002 0.493866 0.487731 0.481598 0.475468 0.469342 0.46322 0.457103
0.450993 0.444891 0.438797 0.432712 0.426637 0.420573 0.414521 0.408482
0.402457 0.396446 0.390451 0.384473 0.378512 0.372569 0.366646 0.360742
0.35486 0.348999 0.343161 0.337347 0.331557 0.325793 0.320054 0.314343
0.30866 0.303006 0.297381 0.291787 0.286224 0.280694 0.275196 0.269733
0.264304 0.25891 0.253553 0.248233 0.242951 0.237707 0.232503 0.227339
0.222217 0.217136 0.212098 0.207103 0.202152 0.197246 0.192386 0.187572
0.182805 0.178086 0.173415 0.168794 0.164222 0.159701 0.155231 0.150814
0.146448 0.142136 0.137878 0.133674 0.129526 0.125433 0.121397 0.117418
0.113496 0.109633 0.105828 0.102083 0.0983977 0.0947728 0.091209 
0.0877067
0.0842665 0.080889 0.0775745 0.0743237 0.0711369 0.0680148 0.0649577
0.0619661 0.0590405 0.0561813 0.053389 0.0506638 0.0480064 0.045417
0.0428961 0.0404441 0.0380612 0.0357479 0.0335045 0.0313314 0.0292288
0.0271972 0.0252367 0.0233477 0.0215306 0.0197854 0.0181126 0.0165124
0.014985 0.0135306 0.0121495 0.0108418 0.00960786 0.00844773 0.00736162
0.0063497 0.00541213 0.00454903 0.00376055 0.0030468 0.00240789 
0.00184392
0.00135496 0.000941105 0.000602401 0.000338905 0.000150656 3.76816e-05
7.04153e-12 3.76165e-05;
#X coords 0 1 515 0 200 140 1;
#X restore 323 18 graph;
#X obj 42 28 loadbang;
#X obj 119 249 tabread tab-gaussian;
#X floatatom 130 298 5 0 0 0 - - -;
#X obj 114 151 hsl 128 15 0 1 0 0 empty empty empty -2 -6 0 8 -262144
-1 -1 12700 1;
#X obj 188 292 hsl 128 15 0 1 0 0 empty empty empty -2 -6 0 8 -262144
-1 -1 0 1;
#X obj 26 132 inlet;
#X obj 60 315 outlet;
#X obj 118 225 div 1;
#X msg 36 62 \; tab-gaussian cosinesum 512 0.5 -0.5;
#X msg 46 93 \; tab-gaussian cosinesum 512 0.5 0.5;
#X obj 118 200 * 515;
#X connect 1 0 9 0;
#X connect 2 0 3 0;
#X connect 2 0 5 0;
#X connect 2 0 7 0;
#X connect 4 0 11 0;
#X connect 6 0 11 0;
#X connect 8 0 2 0;
#X connect 11 0 8 0;