Mercurial > repos > vipints > rdiff
view rDiff/examples/results/variance_function_1.mat @ 2:233c30f91d66
updated python based GFF parsing module which will handle GTF/GFF/GFF3 file types
author | vipints <vipin@cbio.mskcc.org> |
---|---|
date | Tue, 08 Oct 2013 07:15:44 -0400 |
parents | 0f80a5141704 |
children |
line wrap: on
line source
# Created by Octave 3.6.2, Tue Feb 05 20:09:05 2013 UTC <galaxy@ip-10-149-27-54> # name: VARIANCE1 # type: scalar struct # ndims: 2 1 1 # length: 5 # name: data # type: scalar struct # ndims: 2 1 1 # length: 8 # name: x # type: matrix # rows: 276 # columns: 1 -0.6833812334047907 -0.6351935380498582 0.0002676097647148204 0.008984413270075901 0.3854857835385831 0.9214256247447771 0.9671076008822687 1.06730569344731 1.222803256420449 1.246504845993285 1.249174167305002 1.374217828403327 1.383148643159435 1.39211140742845 1.504802707898532 1.512742975636874 1.793299997280322 1.858720221866363 1.870869249673204 1.895207901374988 1.94696029232134 1.950840496518627 1.951577816302224 2.080982069732103 2.111794189331381 2.30130308654365 2.346256887203381 2.423243219746997 2.443257168192183 2.489255342621425 2.535583503152155 2.53837436521161 2.59963426232541 2.601138120612441 2.604773166418073 2.624591312399266 2.638861121805705 2.639717995071114 2.666653324253649 2.705628950974717 2.709413262934348 2.728673698313363 2.743378032980916 2.770913820248701 2.775176264408742 2.804384977892022 2.832504558593536 2.884517225879028 2.890427891722309 2.892025848445413 2.913231418839616 2.915325331748858 2.947286052113701 2.974114114210898 2.974962534900434 2.996712049498361 2.996782416820018 3.0647282235623 3.067149629015368 3.090788503971225 3.11398884919686 3.12787365655992 3.142145597909063 3.157104777475194 3.178330382452176 3.183089890645656 3.188920263453963 3.25881952530437 3.281247080101629 3.329598123749154 3.330927208179796 3.331024996520879 3.348187622299709 3.349904087274605 3.367295942972851 3.36746289554451 3.382826559751085 3.38444432440666 3.419307790945601 3.431652286106596 3.442440475996615 3.449189130596366 3.449929420406366 3.450754701200709 3.46565467202683 3.466434062810305 3.480074864445704 3.481913333815904 3.484235528796702 3.523418569293708 3.524697107836651 3.525728026748714 3.525947853574447 3.527159412222734 3.53877924721809 3.56551761864124 3.596890627362499 3.597334179074515 3.602971021712368 3.65062119724365 3.674474454579012 3.678752389818325 3.678763116230078 3.688328844823047 3.700982292022176 3.713304660860759 3.716130268623892 3.745619279014551 3.748925960321961 3.764367786634761 3.784264106978202 3.802426082202587 3.824735114150635 3.825707508317699 3.831016123593371 3.83711739421476 3.848499954098443 3.850874599611493 3.855064078065424 3.859374157671713 3.863528276520088 3.871263402499793 3.880243633530991 3.882530554148294 3.890087569638467 3.892720048124537 3.899981718171424 3.930573247565717 3.931887785265438 3.970354066093234 3.970515795044499 3.978357290248281 3.992151015248081 4.005479002485021 4.023197887585891 4.052175150346082 4.052480000428031 4.053853379531467 4.075892563861373 4.07753744390572 4.085976934425602 4.109797327447354 4.111279568813716 4.117157460113159 4.137987410687454 4.155863267944699 4.166693999005181 4.16744941210952 4.196879601483558 4.2044926354636 4.206310369795395 4.24022094145521 4.248843565917821 4.252210921486945 4.262852832517678 4.290827110034652 4.294139337580926 4.30592926367226 4.310799125385514 4.317183205701451 4.331555392333135 4.334353742609347 4.338073406205408 4.412744815974918 4.423951294484441 4.43460126701708 4.453396882127109 4.477697875664315 4.500376248621553 4.50876526814104 4.51442882854796 4.56954300834494 4.594270394461617 4.607701924981973 4.60960436496965 4.619934928374763 4.625943458038219 4.629658265979011 4.634707563554457 4.646791717153577 4.669153767576629 4.673014108700764 4.68272846051556 4.704777591865675 4.705965173439033 4.725850496348063 4.747543709061567 4.75461246209718 4.798334892646747 4.799914262780603 4.804021044733257 4.811634750492613 4.813269048061025 4.816363419135937 4.819827246901278 4.842946003273059 4.844187086458591 4.859705651650803 4.859812404361672 4.863934062496969 4.867534450455582 4.894080188778505 4.896628942316751 4.901527225964197 4.912694799733611 4.929810968690763 4.933698410407108 4.943091524385554 4.943706905124013 4.953092101738478 4.966335035199676 4.975994484577808 4.996992016238126 5.000515787228054 5.006205516058236 5.044856182869496 5.050164254016807 5.056245805348308 5.079616233308949 5.090714171531762 5.093379459800494 5.096763047049705 5.106294181366582 5.113939010744149 5.142996964246954 5.167482511225858 5.181539998366291 5.237167419637067 5.2548878086207 5.270430640739011 5.280612431745435 5.291469349209253 5.295814236329918 5.305219692852843 5.313205979041787 5.313435052025778 5.332718793265369 5.336361506203941 5.337538079701318 5.363479203421722 5.377592863204739 5.398102273865895 5.40139132722789 5.413875707182309 5.438079308923196 5.46383180502561 5.470167623474696 5.608182078677081 5.614951260949585 5.693390946703289 5.708752001955319 5.726847747587197 5.773196754230931 5.779818163653597 5.803666122447944 5.823045895483019 5.85773948567858 5.912150740388256 5.918132746702433 5.921898454987526 5.945420608606575 5.958372222465343 6.024657514463746 6.051915027830951 6.132175470221938 6.258030759426767 6.352324586587449 6.390181342954701 6.431331081933479 6.535241271013659 6.59736839218635 6.872128101338986 6.924120633068402 6.92557432177101 6.930005887916956 6.952728644624869 # name: y # type: matrix # rows: 276 # columns: 1 0.5098619448660886 0.5614458792100752 0.0005354344191126676 0.01821268593811656 0.300125135105736 0.6226456101523772 5.790012164317421 6.882614894599708 2.928244242028988 4.190711302206591 0.2995616530371554 17.23261410111295 1.794026542150055 2.360617288467401 0.5572623255604892 13.20152159602447 0.1111746356041626 1.595829705979434 0.3233927878766432 8.077489522620343 0.1030762842837191 8.947040131825315 3.016315931133838 0.1976437966296227 15.47311815458021 1.442791904480445 0.979581837298045 29.87227932611871 12.97764035922703 20.4435072256478 18.21471964041553 48.21858092449051 1.41297250642486 3.274309977134548 5.925674133696653 16.99509526122546 1.843010440058799 0.2592376401819984 3.458358651048227 15.7539642356789 3.107706109581367 9.580053098486419 6.725510114976441 6.170624771256398 20.57397380665206 5.561364513857107 17.17176144974188 8.887674192406642 18.07268234111858 3.849063313669099 3.861436722749122 8.850231011878519 21.93447790910894 45.98441120043708 140.0088953160563 0.06482648164717611 0.841439055377299 4.103961883308571 2.560405750393033 124.1886033190991 13.44247443672744 8.993487218620574 19.64365489310051 0.7118914951765414 2.598345322347509 3.283085039649825 18.86665041326702 51.93864294574792 51.441285740258 63.59768787839218 2.091531432494282 46.23386094018772 1.395814465039317 4.5 0.0001900431189985708 0.2810746969706186 18.67471001321769 0.0006979292989759984 4.438319886752966 5.237601716253023 60.42858431296156 37.26767995132049 0.06516140813037113 0.3214524723274196 1.650555779444144 4.396694943135049 0.903641451836221 43.30052363579657 2.804111355861398 83.90977767232167 23.70674616091612 0.1429087600638377 48.07407801263168 5.016841948711778 49.61524565567376 11.82265263276051 1.026231401821365 0.6112268811795358 249.9876586205725 0.2273354882406347 3.276589482850615 54.78120310547195 5.982911718346099 3.623715441379241 1.789608320551799 6.069630590964783 3.410406646103851 82.22800448783204 20.11022669550441 7.816088960080262 0.2883919025007873 10.67548248004392 111.5290640552081 10.00864044051327 68.69055299798212 11.78460386156929 294.4809073631238 23.99998402448317 29.57235225438896 6.854014318717571 15.46213461897019 8.565402876319306 26.66213140467827 93.38726668302101 31.19419628516797 8.433341608745263 80.08503698914599 35.81395756842375 0.3233476628295432 0.3492055305221813 0.1527494793012827 44.06836677073816 25.73148751695291 5.709803019864283 99.2429160517087 45.51701452734231 1.774784677283192 7.796727340949031 20.91333402326189 18 201.4362745125418 8.208415622339452 1.367380575449007 23.63590651465912 34.61141346448374 236.1791113925006 60.9779286723651 625.4968132566719 127.5051133406701 0.03413714024334135 98.97722333990743 158.4522012018566 3.41535793811879 111.1738318719641 393.7791485816516 14.80308840521456 101.5674531669078 38.64007145119295 24.5 42.86848581468963 34.38714066922311 54.59456481079737 40.78027658226088 2.858862456747437 118.2487794185459 463.6603814081025 174.6817908959457 82.81225870770531 5.784924306597853 9.883020911959306 397.9898317565905 112.5 60.14204465112706 546.9314016625565 60.08604499239323 64.78656295020969 4.775025797206339 14.64686765407009 0.2440096903325543 549.2979973859448 211.8646040255697 8.323714905438553 29.2389044906079 300.4286714954522 335.033851728749 236.9134385187773 19.3259964786152 124.2315426601552 8.220994008233166 0.5 8 312.7360524269463 156.858472180786 2.591867043863306 67.17480337556589 59.58973847910766 32 9.577667878791127 578 56.20615874801912 0 142.9783453661942 298.8856585562471 57.79378020275452 1.476586999894243 453.5486464995402 50.33324089056941 82.64077764918559 32.67506893202144 93.209185909593 12.5 130.5094553396254 186.6201169833191 2.234139366707373 241.7793155172543 213.5882189628277 77.09760868930012 128 74.35779072677653 1.151528038485153 84.68581280829852 0.3795900371882776 7.431380318790831 778.7657271065079 14.1958493888998 160.6411561931741 210.0111289065943 10.36323193293244 144.5 0.2048950887373653 1999.250022236772 124.7380815523628 420.5 343.4444401093227 8 1.801728624385869 162 313.8837916877746 0 2.541139840616955 0.05351441629747863 1.904495297825732 417.7346959108357 0.5 1352 2 364.5 139.169294801233 144.5 199.5377027326574 0.03506029515081736 8 2234.627834591213 975.896911148824 0.360002547189904 512 29.91575360294924 1012.5 784.0268295459406 8.183391814447306 98 0.1731518000579298 3612.5 514.5284767173813 4330.297503866355 123.1958169282804 1364.860874146628 2522.892576923072 3362 1458 2503.87078382964 2178 760.5 226.5406681080648 364.5 3200 # name: weights # type: matrix # rows: 276 # columns: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # name: censor # type: scalar 0 # name: baseline # type: scalar 0 # name: style # type: sq_string # elements: 1 # length: 1 n # name: scales # type: scalar 1 # name: xlim # type: matrix # rows: 2 # columns: 1 0 0 # name: evaluation_structure # type: scalar struct # ndims: 2 1 1 # length: 8 # name: type # type: sq_string # elements: 1 # length: 4 tree # name: module # type: scalar struct # ndims: 2 1 1 # length: 3 # name: name # type: sq_string # elements: 1 # length: 3 std # name: directory # type: null_sq_string # elements: 0 # name: parameters # type: scalar 0 # name: lower_left # type: scalar 0 # name: upper_right # type: scalar 0 # name: grid # type: scalar 10 # name: cut # type: scalar 0.8 # name: maxk # type: scalar 1000 # name: derivative # type: scalar 0 # name: smoothing_parameters # type: scalar struct # ndims: 2 1 1 # length: 11 # name: alpha # type: matrix # rows: 1 # columns: 3 0.7 0 0 # name: adaptive_criterion # type: sq_string # elements: 1 # length: 2 cp # name: degree # type: scalar 2 # name: family # type: sq_string # elements: 1 # length: 5 gamma # name: link # type: sq_string # elements: 1 # length: 7 default # name: kernel # type: sq_string # elements: 1 # length: 4 tcub # name: kernel_type # type: sq_string # elements: 1 # length: 3 sph # name: deren # type: scalar 0 # name: deit # type: sq_string # elements: 1 # length: 7 default # name: demint # type: scalar 20 # name: debug # type: scalar 0 # name: fit_points # type: scalar struct # ndims: 2 1 1 # length: 6 # name: evaluation_points # type: matrix # rows: 1 # columns: 5 -0.6833812334047907 6.952728644624869 3.134673705610039 1.225646236102624 5.043701175117453 # name: fitted_values # type: matrix # rows: 5 # columns: 11 -0.4780349615759775 0.4587946918492114 0.09380772433542278 -0.1543985200998657 0.1085069753247653 -0.1844125625275044 -57.51542512411198 1.838442210570626 46.45377801533508 5.496650281465815 2 0.00859546465794736 0.007463435776044136 0.0008117835380887783 0.0007249534430119331 0.002716168211500031 0.003149482487915661 -378.4377848891691 2.895747872410059 268.9166003580786 20.28403121746227 2 -0.0297824890329883 -0.02733483136307369 0.02093604488816905 -0.004346713975171855 0.02556184535382897 -0.004016124707926654 -208.0739935791972 1.946885589084127 159.2390941728792 2.526600534106447 2 0.06233179397904487 0.1244223524446979 0.005509507785338125 0.03660531158017293 0.01817563090439375 0.02794515347375807 -98.46773324014573 1.860487041131217 78.59199362705083 3.587622811958401 2 -0.004917206421938047 0.01110022821252987 0.000330409508454102 -0.0003187189574629413 0.000980250805272323 -0.001671662903533849 -373.9952488212735 2.741261752696345 265.423616098305 9.408763927513387 2 # name: evaluation_vectors # type: scalar struct # ndims: 2 1 1 # length: 4 # name: cell # type: matrix # rows: 2 # columns: 1 0 1 # name: splitvar # type: matrix # rows: 1 # columns: 5 0 0 0 0 0 # name: lo # type: matrix # rows: 1 # columns: 5 0 0 0 0 1 # name: hi # type: matrix # rows: 1 # columns: 5 0 0 1 2 2 # name: fit_limits # type: matrix # rows: 1 # columns: 2 -0.6833812334047907 6.952728644624869 # name: family_link # type: matrix # rows: 1 # columns: 2 7 4 # name: kappa # type: matrix # rows: 1 # columns: 6 -383.1157592790227 4.205160419924432 3.947487842478111 1 0 1 # name: parametric_component # type: matrix # rows: 1 # columns: 31 4.01438090124264 4.039035554624711 1.185611582819957 0.08954622424519122 0.06019292349075954 0.1306893397024039 0.1563251713629077 0.3998478689518 0 -9.946965241061817e-10 0 0.9999999486648966 -3.24489640006e-15 -9.946965241061817e-10 -3.24489640006e-15 1.600152182383303 0.6491090428643189 0.3966294519227455 0.6491090265427149 -0.2804593165841786 0.9179788003366177 -0.2804594335615753 -0.7071067968934422 8.050863200882512e-08 0.7071067654796481 -0.1081198631397258 0.1438443421160909 0.112957298071852 0.06019292349075954 0.04447715216714684 0.03621200115668121