From 8de9f3bd5532db900bdcf8ab670f214bf694e679 Mon Sep 17 00:00:00 2001 From: Daenarys8 Date: Mon, 23 Sep 2024 09:55:07 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20microbio?= =?UTF-8?q?me/mia@52f0245329469e8193893ef90a4688adcea33209=20=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- articles/mia.html | 2 +- authors.html | 2 +- index.html | 6 +---- pkgdown.yml | 2 +- reference/GlobalPatterns.html | 2 +- reference/HintikkaXOData.html | 2 +- reference/Tengeler2020.html | 2 +- reference/Tito2024QMP.html | 2 +- reference/addAlpha.html | 2 +- reference/addCluster.html | 2 +- reference/addDivergence.html | 2 +- reference/addLDA-1.png | Bin 17911 -> 17863 bytes reference/addLDA.html | 14 ++++++------ reference/addNMF.html | 2 +- reference/agglomerate-methods.html | 17 ++++++++++----- reference/agglomerateByPrevalence.html | 2 +- reference/calculateDMN.html | 2 +- reference/convertFromDADA2.html | 2 +- reference/convertFromPhyloseq.html | 2 +- reference/deprecate.html | 2 +- reference/dmn_se.html | 2 +- reference/enterotype.html | 2 +- reference/esophagus.html | 2 +- reference/getCrossAssociation.html | 2 +- reference/getDissimilarity.html | 2 +- reference/getDominant.html | 12 +++++++--- reference/getMediation.html | 2 +- reference/getPrevalence.html | 2 +- reference/hierarchy-tree.html | 2 +- reference/importBIOM.html | 2 +- reference/importHUMAnN.html | 2 +- reference/importMetaPhlAn.html | 2 +- reference/importMothur.html | 2 +- reference/importQIIME2.html | 2 +- reference/importTaxpasta.html | 2 +- reference/isContaminant.html | 2 +- reference/meltSE.html | 2 +- reference/mergeSEs.html | 2 +- reference/mia-datasets.html | 2 +- reference/mia-package.html | 2 +- reference/peerj13075.html | 2 +- reference/rarefyAssay.html | 2 +- reference/runCCA.html | 2 +- reference/runDPCoA.html | 2 +- reference/runNMDS.html | 2 +- reference/splitOn.html | 29 +++++++++++++++++-------- reference/summaries.html | 2 +- reference/taxonomy-methods.html | 2 +- reference/transformAssay.html | 2 +- 49 files changed, 91 insertions(+), 73 deletions(-) diff --git a/articles/mia.html b/articles/mia.html index 62c0a167c..b6dcbed82 100644 --- a/articles/mia.html +++ b/articles/mia.html @@ -69,7 +69,7 @@

mia: Microbiome analysis tools

2024-09-23

- Source: vignettes/mia.Rmd + Source: vignettes/mia.Rmd diff --git a/authors.html b/authors.html index 4950edd6e..b4a0b140f 100644 --- a/authors.html +++ b/authors.html @@ -168,7 +168,7 @@

Authors and Citation

Citation

- Source: DESCRIPTION + Source: DESCRIPTION
diff --git a/index.html b/index.html index adb7a0ea8..1ed4cbe89 100644 --- a/index.html +++ b/index.html @@ -161,12 +161,8 @@

Developers

Dev status

diff --git a/pkgdown.yml b/pkgdown.yml index cf2bdc5e7..2a2eecbe2 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -3,4 +3,4 @@ pkgdown: 2.1.1 pkgdown_sha: ~ articles: mia: mia.html -last_built: 2024-09-23T09:50Z +last_built: 2024-09-23T09:51Z diff --git a/reference/GlobalPatterns.html b/reference/GlobalPatterns.html index aecc204f9..7092ac1c6 100644 --- a/reference/GlobalPatterns.html +++ b/reference/GlobalPatterns.html @@ -51,7 +51,7 @@

Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/HintikkaXOData.html b/reference/HintikkaXOData.html index 30a3188d9..3d5ede100 100644 --- a/reference/HintikkaXOData.html +++ b/reference/HintikkaXOData.html @@ -50,7 +50,7 @@

Multiomics dataset from 40 rat samples

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/Tengeler2020.html b/reference/Tengeler2020.html index 1c88689b6..8ac8153c9 100644 --- a/reference/Tengeler2020.html +++ b/reference/Tengeler2020.html @@ -49,7 +49,7 @@

Gut microbiota profiles of 27 individuals with ADHD and healthy controls

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/Tito2024QMP.html b/reference/Tito2024QMP.html index 67ca02d89..1104faf71 100644 --- a/reference/Tito2024QMP.html +++ b/reference/Tito2024QMP.html @@ -50,7 +50,7 @@

Fecal microbiota samples from 589 patients across different colorectal cancer stages

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/addAlpha.html b/reference/addAlpha.html index 167382a60..58e5abd38 100644 --- a/reference/addAlpha.html +++ b/reference/addAlpha.html @@ -45,7 +45,7 @@

Estimate alpha diversity indices

- Source: R/addAlpha.R + Source: R/addAlpha.R
diff --git a/reference/addCluster.html b/reference/addCluster.html index 3fcf91263..7861a55c1 100644 --- a/reference/addCluster.html +++ b/reference/addCluster.html @@ -45,7 +45,7 @@

Clustering wrapper

- Source: R/cluster.R + Source: R/cluster.R
diff --git a/reference/addDivergence.html b/reference/addDivergence.html index 135812624..1eb7360fe 100644 --- a/reference/addDivergence.html +++ b/reference/addDivergence.html @@ -44,7 +44,7 @@

Estimate divergence

- Source: R/estimateDivergence.R + Source: R/estimateDivergence.R
diff --git a/reference/addLDA-1.png b/reference/addLDA-1.png index 9cffb7461a5b105ad19f1b86b1653f74daf431eb..29f8f9e03fbc919bde06c219edf8a71eb574c838 100644 GIT binary patch literal 17863 zcmeHvc~q0v+Hb%CEhnJ0iZa&PO06PJ%mP(vtrMt(geefDh|C~{U_wY7z@sR%wF=7Q zPz92Z1du6^K~Z7_!RdtvBmtvDUxt7f0)ZrVC$`_$`we&9@2>O5S$CbRr5WCLKYQ+d;O;F z-}H%Ly1>ho4X0GT&?O|E%Uk&b``Cu&Z6znyaWscNGXW&o`(EDlFftE1rOrco5Tqzi zhWgdwK{At=tnA2UtBw~Qw9&8H`UEwbBJ4-}NpFHr&G4 zCTR0jjiqGZmD70U^bq_i7NdN!<1@oDhF11Rl{E=nd8wy{w8DrXJ@atS7pA{_=W8dV zJ2#BNEnRy43vMqNtA37k%dPM2=bV~gg{CgkPrvRbFnyxJ)$7QqA+ru?)8IP&uYsQ% zIeLh9K>HwXMn{(7J`v3>XrWKg*(7-7D z_~g%w!^$ZK$TatQbt&Ywvw%CqG{7&AU$sc5p$cz9y4j{1Jf4k zM<#Evt=2m_#Q#9h))+bJM+o*V{C}3!e=-uq4a3Ie+1E6K&@R~!3)6jJm0^Rl;eKpx z2udEnVlWw#m~hKZ@S%c-#(H!dKZb9+h0+HNi1;95$>Z8GBHAZ;=4y8Tq;p)mH@;}% zQT7wnG_=N)Y2b6gLI+FdP6rwRqjDeCIHE}OHp{f}QA@cbqG%>T*1Uv9L2Fvz85(_A z_$ED7_N9gCEUV32mm&5vG@V)3ms)lvm@+ z3}W40NF}7sid=cWMVb@Li4R=0{V5Uy{Q@^5#bCn&*D%k!T;>X4h;On%0C25yn+s*9 zWK-0IqxezR%=nWegYDY9x?gO~vJ?t2(&N^u#^Xwba6(56U23>kW3RthK6ycISCM(6 zr}i#sR-7_Yf1ag#{^g~Qci>-Dn~GL4>6y*y=h@f>9rt?vXd9h?DYXrkipCbzU8IEs zNYUbY^%a=0R5jBGzkj^OU@54y8BDkH=?3A^zCg{*eJo;dXVO%d-sb7IA4oH`I(lOw zAN#N<<|(^TazM-^?#92I-$mvTWATTT(q;P%mUV+q@RoR<70n`7SV?bkz7y_BzfNvp z!s=|qR5ct4L3=7b)6)|@o7>!m$15e{`fmu)A_q&uhkrNS!CTtfn6aJbx@Rs2EYM$L zXBbP4H||l6FJ%!Do^^XxxtGPHWk}Obk_;mkrU#W;V7xuXJt@sZ?R}NO-Pr69v=N&t zI6G@eCrM-izQ#F8wNZb2dZj)Q0fAN80;;+Zc z0vux&q&ike{Ktti@a`g zRA<71qvnL~l^9u3oYhIGTTkzpXXu^39O4)Js!Z!UM*?~NH2d>%3rr_tlC??k2sVQD zA-NfLycG`&f)tWZB}|V#yWTm_owrGK&P+M3smKb@GZoQ(5?tyCPSKvlw^Q0&B^0At z{m+QaU-V;nmqwOPRz_+s$=WXH8kejg!t9<`xc3dhd+54ByKxdOHguj_6e6LiynDkP4i& zis|bd`*Q8$;0+D;+zl%ox$t?W;H?Hbm8!7k)h*rg#Ig*R3n+^6Jv2$aTV5T0* zp_BYF!VO}L-Wav0sZ2c$YoJRIpEkN>Kx2^nz=%gw6~EHen@dbnc0*r5GNH;apy1)J zMv9yCLQGz{g!f9LpoIlvvD{kX5BT?|!#~FBJFjvuqe^IqW`eF~+J=ySe4sQ5V6m8S z3&@HZ>POd+c6vuPof3lGPxix~fh(X}vRW}R!AjfAp{cte!g{vB>>ySr%i$oT`5}*F z(fBwlw@lMjdyXVbF&u-_R_d3t4$4BhJ)Le_|6|AHr?vzBkSQ&kK53IS!i4r%rYW^L z$UHtV#<1{-sw+l{1Q2>lx)=3px8a|i8=?eh6iZo@JL+)Al#VS#8LR~2rU%-OroEAr zC``VlKBBx2Pp<9it04NeoD!LJknZ0OXulEjR8R6-;9R4`6~thlwb{yS4&AL*-PbV4 zHKkp8Y;VX^uFY)@>0kxq*QS+|nvjx-mohcW53_pD>OZeubWOQO@+|AAd8OP*msV(h zQ_pUcq^evqU%SEv*CV=o`)}!SSN9WcS)f?u%#waXiiGHW1P-AdjoF*dr?uJh?DVS< z)TP`zt>WBvpI#p4+L#ot(Eo@K9N4>JEVEG^i*KFZElv$pomd!WIAGBvpq$r@1(}rL zz9Q>5bIE2a;wbajhIQHj_!%-o6MbIpViW0LxWVID)%@l>T3GVwIF@HCN&9Xi(_k}2 zKiBQf$#%r}VLyi1h}5GDk90?d52^e8&w+$sd-CxUBdqds1Rfbcg+Pn*#BZ(76 z-YT>-mY4@%Z2b-x=CBrnIq1{3#xujOjFosmzeB~e=axN~jN6>dvr5A)Ay2^0DObnB zdLJjyun-U46W8uhsU|?OnL+JCN~mVHvODK%gD)v4t$hDe?a1hRI0uUBDo9nqHBe`* zTK@ha{2ZFTh%vaY_GeYY{p0}rvvjRL)Qvf=1L2e`)EiSzlVHU08JaA32ei|w$7w6@ z0R{NcJw^VYIW;& zp36_YQ$IjzIPx+}KZ=dAaDM$=W~9c|y3I`DckF8scEzJiwoH1rX-V-x&xo!32IAo2 zL2QucHFYRHRyo#{IBnQ@e5&x%F^Oz}f}$J$tooGrmX9ZaqWLQWO>|Qth zECSy_f})?x$nu-{nXFcJopxqtRUSg7V0UVKg^2_X+ve-c_< zh>-??xbC3O)J#eC7@?M`;v&6kSSWAyE~oY93?Tyb)3LujFGO>Ktnx19XxDZ81E&lMB-8dM=ulZ zog5_v`}}<-J3Cp$fz5?+s<`wYL^rE*4Cc1Kz~PI2Pu5BSSu~}_LpGK@n=<_HK|XJ1 zV7L;xVp?uccU*5_^^TS+5S?ac6CNJ!$r&(;Ga>)RNd*8;X>O`_h-SO;+?@p1t5~RH zDNE%*UnDw_7N9zk?)s`8?GiwFK4u<3_q1LNmV_Gsmc!d$9KTg}5!O{Qu~8Bp{5!PP zDorK1O$<^_K<2)IooUDNVcFWSBy>(r4egBc<6On&)|3My+i;7unMwt1#&$s6O9RLO z?)f)*OIIM`Wt*J#JUS;X5v`GD7dNFTY{gh09X;)(-E{LAj=!~{_r7`{eJeMje)I(V z2-eX{f;4T}(%^=)<~kN}_Lo=?4N~1W>;Zm7XL#DmROdHl5*L)WKepzCQ#ZyNi`}nz zdb)N)CGa{2Mt~)iJKdR>x;IyKatG<4vUz;AzE#F)87x9;zHdod-F#<2A?Qv-pU|H{ z$b-tuSi#?hnTh;Y1vj}!-KNy1)utzIPUXU_+1@N~paXp84({#i%D;iT+0Gv65!rK_ z+aK())H1@@9n(#gwhd|5h#fc1fvr*#z7u$y*x~&aehq_QwSvcw3E7TV_h{5ixr8$6 z-fey4$iRM|wVwh?)T|JcfaKfaTgO6|R(PSfW!EuLNb@g<$MKUVd0v9?soZR5)6z<9 z?3^LV%Q2ON5Ktfbt-+v6af^)yKrygDb-VC z)3GGlXgC)C>vT8DoWa{){A_HSw&S!i{wu<;=w8Vwhb_Ds_qa<#`8KIL1i{Rtx2v=l zA@549(!JX=%Gxn8veJ+-UmoqWG`?VpZmjDulbp&-ZJuO4xKww{gs-c}bE`g;-#B$W z+ner!q7ZB*bfwwS??vI_gcEqM7(rTuiDK^UjE6mqvZ+BNlhhe8RDY8N08w0vBtWyR zC24tc<4OVcF%v$3-_A4I^^1K~Up9HN9rg-RG71iMl78yd* zjeOJH75j8-c)Z8N0@HIj`H-^7CYCjJ2HLeVNVYPLozX-OXYu-e?!6U?^>i~w120Xz z@Z?5B&U9_I`RhGM{x&03-jctW$=T2b^=3u)BEs?kX6>@+M`=tIaYKbDk*jW zv9zJ@DBuZ#TG?Utv{G(vl{S%?_R+l~LVA5O8(yL($ANNRYz25opaGO-@37e;n2EOe z#I|hG$CRV69$_W^0Za_(~Y#zg}HJ? zZ2H?CrqiJJHTA^!>^rDzHN$WuxLyws#gD`ssTpIyFCi{+091W>JKm67AOx$g0_$N# zud#2I?k){~Le{SfaX1d-WrGkBV4fEC%^wAXt~WD6y3U__{2s}$@8r4u^P4f}WySW* z_WDtXof`l{n^U&ds=F2{3<4?m26*vsG&gN4<#;XW9?39&asgoO9LSql;;%WPl)zs5 zWza+9WFjyoOk< z4=tzR$4exJ?^Gv{ituWPW2aSy$#6)2uOE?y!TY}av$C@$WD8^PHJk>;Kx-fq8q0Ai z&ak851vx!;NxsT1m<|v;^8iK60wUcuoZIY9+7@oee{j7a-w9^U!!6J$5bPgPZia+3 zO5-2tW*xU;jzoy=wCUudJ^94+S{+;O(=eLvmA{@HGVBmH$2Z|Ei*#+JfcyAd+)S&g zGjLoI1I-9kDm&-Wk+`Im=*<6GI(A~3=!F1~#n?n?ouD~Z>JKG9nd|*G0_OvmOo_D) z55n>~oWhyfmh?=?>5l+hJPDkUJXcoe(lF|IrqZBnI2&-k>b$JGt4R4c(LLVNu(Bcj z;ayK@R?Y7w>s&LB{Z$jZR|xF`${4ASe}}xSI;9&TK4xpZ5|Adf3CAx(cIc+=@mj~_ zatt^AuLB)Xoz|V5bgxiNAYOgWt!&F&j&~@RQiM_7fc^haAHjUR5q4*vkiCNMM}5|I za5!PA@847Jj=!$~XaBJm;NQ~l+kJOKT1?*W0i`fU??-(@G+{tqInOJ_;Diyqk{f9q zyjz?|r5MuCNa(VF@CvVAzB%lRh}69?H?2Oyl}9b zM6u{$;vP^jcudbnCoz3X8vd|=NibCv1^EakG*GI3S!jEw)0}8bXF1QkgR~!i_dedR z0=AJHWzs791#Sn)O{IG5oRfV09rwC(Tx6+g$Dc)04tu4&yS~8q@>h>^O2mU{4c*b! zAQ>JXuGNMYeS|i^Hi5$2m8EaPKXC63#d42qr9AwrXb_eQ>l2d29|?ztpj z`ub}UpZtB;_QZio8@Aizhb}ab=I&towMEY?(_KQiyaihFLkBco(79nl_y*19q zW6<^XE+D)ZOZB^tHhkfoBL?RGL(njN;=O^}NN?$)}=j+|D`CPk9oipv^0NY3o;n zQ)rwW%D3<;P-DWjtyu!@!UdD)b0EDW^e-Qwg^9-qFE2nzsCv)%j$)dWm1rsVOj@FM z$pty4R@%aM0O&Smlu|7Un#!DKJ<}5K{G09M@07JE+LmRZAnX!=Tv4A&2#Sh(o+PQh zRXzk|VYzHJFQ5sWCb(`5f~;#`;S6aD@cV>%Eu~z|g_CGCbi2U)V5f-T{U99<Uzdl?L*_WW?6T=tGm7f*F;|f$bcaYl1)`1nI5h>hEp^+6~TM}yy7&Id9v?G?`(_s zl*d8fUiLNvojtd{0mr%& zNGJ*f4ff2`$2GLgbX9;|=wH{xLi^cuQtH*hxOQ=X=DjP0qU@y4F|E|ACGPH|^IU6v zWq>Lh>qS!XZOX%f#PvS9Bb+iKPT9INwWRvAC0KDC=YM0S$Sloi_#wB-XXPjolADnf zd!U>7dTdXCw(l>d0%O8XF`?=97mJ_J29jw0v|fyTKt75eAZ{c=hAa|iqOVya1n03m zPoh=%^bk}T1{2WjSo1YlR+<^$+FsdOnO=emzyB!I|DkDNia#PIH6(z}s2Np9M{(%q zp>sdo=2L$1ShS$=ryo^$8@p-_*O6FU^ki^qdsWwva;t3mLgS#qWqR<+ z%=AWiw6-}E(# zXQ9HE&urzmtG9k7-|k zE({0D%kp0VQXw`|&q!TPm*hJ$UWr{Mxf+qmERr8dqhK{Pa0sn)G~;)`a3IliNuN5l zkARjt4>ys%v`0w~a1Te!l4u%_gYP+%D zs<_<;cm`LoAr;h+T%+P0rP5(4cy&2fw2zQVVGrDKT8%=E1PbjnP6t>rYxn-x!lK7Q}uPXHtFxc z)#Vm*sGhGL!P}rxXU0A9zLqeKW4R<4yUB}pdti0E5L1Q$C{vIo2WDh-lMX2>-u!A< z=eH1C#`c1O?W!VkBss zEUfa3_=9(oTZ|kF$A5(n^v+&&=^gCWM~zg^ouJ`pYb|kKEnx9b6*Pz5o!DZ4v;`%r z`-}7U(0cvG_@p4^FA2m-(w4c+ljeH2L%sPWxHtqH8rCp7+pxEY!Ug3sB2da0I`_Q7! zaN@Bve2eJFRss2g(SY#iOYrwTSKPxPb;qA&r_oI{i4Z5ZsSQpgB(cW!YS2Keu8RG1o3 zzj9mM`;8GoaJ{)fA9%pq2iw6UsaWL;cqN3P3DJtmQP-#gz{NFClpc`KDwECSsJ~Sf zR)#+XEEVi64&t%~EY1zlcG})9UD}M;;8-6k3VtV;FGNBVx^GeW_n@UnZi{X#i|_(4t*t8)klkFF?C4>YGOd zb;o~fvEa@@<|mfajuq)=F`uF9>IZZ(?d^fs;+E;#u+DCVmn>X62SJ6R<|&-nCkaGH z)+kDkQi4ct&PCv-f|n6|lAtRIV+((BfOfpcZE&B~XKw z*a1IlXVY6+vA*{^9Rb7lD)ElmsfQaU=Ni3&fnw}!*?#N4I zh=aB0bwi;GL&9aMht2e|F>F)^Vjfp_JBAll%v0AnoF}~%X?L`k>x(E zrjt_fn9Or;R5y;#e&ulhG;6S3^yqS~1X$#9UcLHFcBQ46{B(99t;C;OuP(M>0qY>D z)r;~@MK$~sNk2}Z5%Ef;iSi{zOedx)$3V4YmF1*9A8Xjv2l6u$N0Gg{UgeOtruY7iSxM<#?2mR=T+SHVl!+7*iStS6#dF6)ia&K*F( z*xdD%ndQV-WhE4Z?A?&TQ1`;>ce{ZArda`pD(C>mG4x^wxV@>ckYVs5|9u1CKcFu9 zFA^X7DXDK7f|RSEQdB-VoZ)qldqaIUR(I@{5n=;I9|GuQ(VSl5PlmQpyl<(m!iyo2 z-lPP^MgdUpD$rvDyC##NJ_TwMESf2eRhf7|9F?KH3Avz>DtOVq0Lz4M9(V~6&0F%~$mc6}055R?vQqE6q1}~o0ngS(lInCkk*TlA1 z6!E;3a=CfKClwSq2qJ!Si)A%g#fIW&(o|s=a zYJ@1%qYKpHalh8dEC}Q5Huwxy%BD}%HGPhLmI7U*@ymIkWQO`j<%8^{VtLwBr6&TR z*ATW($BN$igp|Huokv2X1LJlRO2N>EC;<$co>9$VxL2sPFtRd9Y=jsy*Q*^ax-UMS z)%U8w(QZqL_}wU^JF?)oHwwESbQlGRZ%5?hmL@j5llaj14Bx`v4kB>3^gRx^=#1ES zep-%5^6ABJexV4z7{5k_8fgxDy?-beaLcqW0K@`fvM%B zM3b)UvZ3X~jL_Fxcj^-G(CXHV22T1`e)7#+gg~s8Xin4zQFfdKKcybAeH1PP0FJNQG)>rRAd`HXeF^BS}kX5ub3p%2|Y< ze&yPzF3j%qE@gBK*{!d3tx}I?Un(-OoIE71zi%1DR3xOA)_*$MHJ0?MCuMk7FZQ#w z@?}VAF*7l})7;A|$g{D>JKzMO_w@thM9;K8=nu+N0!L9i@doaLRaTR}2f4T1Ng1=3$EPyzhg*t{`nD`JHfP%U zlT)Unj1i)pOe z8U|Az->|WFD6QH3_ECw5cWq#GY~lDL_!QFHIHTM5vv~s8fYz_;euL~y4Grk z#OZd>MLH<{U{vv<8r8-|BWYqM`+CU2 z@}xKfB@Gr=uIwX+C>`mfTH9AuB<#kzvZR#0$HK{pUVuPsJ~R(Noq}V`axGbDN82ov z^<+D&@bZYju9K3iCZBQ%%IJ{g1XdMUSBJU(jYktFsRcRBjG6lR?Y@O-qrj6nR+DEr zN8s(io}nN5Sn}4A@3==?jO0~tu5&o<3DJ)ZJ?JZoQ0h+jScil5@nWYSJR9$rIHe-} zk)wctI3kNK!HTQYm-c<|ZX|})vWUJzAzRrVBlMCm&2eQhQlVN)k4Eddr&MHQFQ>VN zBmFYKm~C&^Z}JgUqUeU~+ZIAuOXX`Ww&jA_3}u%n;$IPu*jq^yRMTYu;xqd#kfp();4;+^FA8bGsm;3j%fjHq?sC3HzPk&h-6|F-*b zOv2jSInb)SCj=1ZMM_l|;YfT8};%IjVAqYZ#Pwk3bkLlmZ#W-FdhxDQgIb7fxjBTK7xmpmEs3dd^t=WBeAkcVIijbuKVRbeYlUc%dK znfOAu{tJCfg9zM*IX@B;Vof;cGnl$hc`2dt?*ZedAP0K=7Dk8XFGKXQ^CQ!cLmG3- z<$Z>{fPK|#L!A_DQ=gS0ZQP(0)S>Uw(w~TU?8khe9aGZB_EyXxTwA^RPxARFMFNQX ze-2r$@`;?en!x&dKuTE^d1jfA8yVjzX$>wY&>LhBNowHjq?vsmD1pkqXImv{27Q-4 zciu#X$CYy?+0D758~I zS9`toQd4QqU&v#n>@QS0I*&=jDEr{MGFcNQFKz)P{29A?!VO~WJFsrgggkQQiNkrf zMt9Y(U9(?`jH|$`0$Cs&-=ymP5AEsClCU7 z=AcplU^%koBrY>eiGh|vK(4|@>}CKSo7d)evG`+i74k4Z1_ww0s8F~wmTta1{bcz&sM(;pWJQ%};_XRJ5tE5P8@x5aQ2 z|2I#k{HMqg7FC$yI@RysdlfmZC!f<T9-4fK0+G@>xF15tM)q|(C6wb9Bf09GeJEEE7o ztEnp*@h!6{2})>5w=tun38QON6!JM@Y*EOp1B3BRnSCm>6hk&=4L>J$aQT&8oNp4>K25^DTFLlj*#` z+hiy%q*TPDXVQr%Wx@DtPnKL-;218rj_teP{q@516SRvoRjrpxGnZ2i9wn=VuV%?J z)4;s%Z2UFHhbHd6LDJJZSsg%cojDMKrQr)Egi z*N_EOJL|lzbLsA~MdZXVjdDBReqE(IZoTab@7b?H1*RxX*wDniNb~X8$8>YY4~^pY zyXT-E-V81^(O&a0aS4|u$0&PtOP1uLZ8l{2gQp~BpQM(rJ(2s_SVb04QbAdd}ED!>D9I2XKY9@ZyW!4uW z-rUn1DpXT zUIk=XxkX=BHWe}<k@DWD1(O z8q;QkZtvc5x;cPV$Tq{-mblc_SAd7yGQDe(wb33Jvkj>^Gb7qJi`8KP6EbB6jCQE>p`?X}S2m9BW zcn5MxLGz4i@HJTzbeE^P98>vD&T%V2d=bi%Yo$A+-Ff9Ljx{4kPTU2pfo9{)OTqFf z-4`%oZY}4*N_BB4H|4rCZyo(x+^wQuE?3#u-$|RW%KUKr+ZIVvX;8X$>Ou?v1Zm z3(DBnr9p-1;%J8teC2_z1sfVQkjyesP?x^qMWodv&v=qq6QX-6Z*KVjx+vqc2|!cj zmM8mK+!~dgwv*~JTzLU(QRAvFy7k61*oUINauvofWev)!6gSz4h@)CI&v5!mxf>++HV#m-R&fG}LQ(oLm~ zMC1;cKUdga4&St)N)bo)ni>V6ebRLuVHAfIz{j_Rgt)0*WN8WFyLwH1NmZ4YYHaJy zc4I?^CvV+!`0362wRVgd2$r6gQ$oN~h{rfbsY~lATkD>6>J;}R6W6mQmN-A9q^vDx z#iu$5Vnh1uCUVY<)Q;XXmAgnK2dUUsb4=yZ1Db*Ps^e;4AJ;?@Xh8 zjr)qsCibUi=D^jfK7@zX&Zs;NF5W;WWqAP*0{f)3cL#am-n5+l&1wFD?CEBI}6{4(qP;O`0e>HjVOeK#(R$5rkcPA1Uii9nFYetQ{-L0FfAmTL7P za!0uYQun2l-U={boYNpf?pHpZllQK*w~paG(U^Bj}E2GMk~nX2)X8s2G7 zHw#=!h+l9#?*sOAP{L?7OE6jk(1bYK?$*>t1I$gv1zC?X(m@gzva)}k83=Fv0x06- z#@7KzI^Ho>ra69s3(6x3n7`%p`fex2J(7RRqo&?{7)!Qs;%-5RG63pydHs2JKzMmr zi03-*M+W6R6fXCx3+|%@rRp9bH665o(+yP~Yw6E+o8Cd!6 zk23z3asF-a0K-kVXFPrQ&Ktu{_v2&nxUC%?_a|oP7{?FCUxBbee*w43YF_gU-8(Q{ zd+*IsJb%d7oAEW?b2xz%+$7KLNPvDF_7MXrnoRDwev*H1ae zltOy^BY;%FD>*R7ND+yd#O^-T^~DHth){Y|8%OvBW|G44`aWs9;_>Ej!O{0 z)ZR>e*p}y5nVGnizfbw$&1J*B1mA-xO9+3L1ED8&tBbhJ&p;so$`6{pIKV$1#{Ckr<5nsbx#ymd=!%G5BriDSNy9@H_mP zwiU*~Z_7h}b_vH|^e-d-)ROwgPh&9aF~98J>lAr=Si-zdERWOxN2Tuxvgi*73n6H1zgtug`t1TWRn{b7>-b)dA!2 zMe4ObEIL9>ShV41pWilo{J#8$d*Poa>Li+)jVbP! z%eS+69@WF&Bahn6Y))hfhrb^_JU9?I$%8q(OXmd88Wh!RL@z6L~j1vB(2?XQh8T zwg~yqc!Q;lyi*?}I!CDSmuGqqO09|nOj-~vj20|!voA!)Q45;65hN3rhz&EL^AG_m zACZLx(`2XDAba9p3JiJf+I%u%L-@dAlYbbH=E7*v@+RmubOD=3mmMQ;mD=Fjx=P1F zo63ZJC_O2scV_j7JZVR4-DPK%om2GRgG}n8JUOGKtDhkq0*^V2If#$6-ciZe$wC>B z<>oHRj*9an!c|o%kJc`i zFv-M|1fSdU-9R>{y14fyD&wuMJ3ub9sloVH!$cr9FQ487ZyGs)-0z7(V8E|BO_VrVaev` zhyPNa7FQt;FgrK>$5rzGkSUAlgDl?O zxVQ@E?JCb3SxzUq&-u%*vps}>r9fE?b(4u5tEN<`&?9y$YDD4q&8mg zvcT@{^R*IA1}C1A?f!MCKb5{5DGC9 zn|mbdh&G8lSx>D*BHfWV|8d1Af?b%#+bp_wSCk$vgUaJ2_PK9vMZ66~ z`C?|KO=5N?6@@Hn9ZY%ONZ(W!q(-M^Ta)J7BIo8MIaiUXSRGnp!3pI~*7ZY<6rxLz z>!87Wq}z;p-^9GxFK`qE8(*M)@$jM*tJ^5VV{=ipKXnn$e7Zj~0Of+(b%S{Gu8Sl2 z5EqOAWW3litEgwOEj(^l+8cBS`HaKzQuZnZ)c{W-mh_SwhlbfL{jk|AMpnN6Uiybt zX6f+0fx|Gj@ZmS;vlK_M zwaH43P5FoEGOV&93GjGlW>np>u0HuMmaaIn$fNZ`6xedOYB1MGiq5>k5@|aCT61cR z+K0+HGZe}Z{sIuaSzI;o9AS9wtW3}SC;Ma3Ps&jFTEAE3qYUTG?;faF-OQD2TG zV9yx>!hsnR{y}6Kst+ROmkU$7?zNvKxj;R+rCqK@-Z`EmS1PjH-gF>EPnN5;g?}=ykTR&h(BV%Ia524nWM&SeHb*PN(QSI3A z`v-(XRugQQ(JTF1+Issn(wHQsa>~ZrYYn<&$@(7m>ST(Wr+__exURl_>z%d85bD9j zRSo42^=q5W8*6;@l3e#}Lz=}2%OX={U)Hn*REE7L)Q`Vh@(u;&#@|`=X&X;>Yme+Q z_Oy^G^WdkQMFy}cSB(W1!aADEAj_Y_sx}54=$ql;vUz2y@jkhsaX!jK47uH9cu{meV%cN`)J|O z4Z~6WB7ej%Fg^#xLcKPM=Q_i<$~Im-XFC~uBWYjeVZmP8q$P?-+( zf-^uWi6>pqdaAd@rqYBQyxAk_)D08URhsO0%z0#01)p zF7jZNR^}*k#}Q!R|5Wh;RhR!ik^BEOCiFjZBS&<`49t7cjB$+&*3n za~;;p+8cX^uY)xl8xQvrbDdDE)+p*d#owG*S{3)`gEAQ00@MIDCkXUtEHZ#~<*?3} zO^M)y{2g>*i^qHxbPc3|OW>$E*J!o^>4CX?uYlPvJt`710%;1U1I(jT%}+rDP>#)! zZPY%B`Z)0huj{=K(P_|WKHsW<5k{MylJ;VQa4L?VOi2gT*E*xI5=JYMD!D5LS}?XOTIvOEEFll9=y3ATBO{&NOZs!ECS~XgKhr(T(LpXh38yt#mq2T zlm1Uv6S<=l{kBlSbUcW)FGMrg_KPca^+-}Z^%OG$7n#9p>M5O^Ot6iTPIr^vf+{7| zF?B+YXMrks^%9gT{17x8BBzJ@)8;HfO6y%Ti_VS1+F~%cO}Gl#MT$Sub))Pg=O@Rp zvty$tV+xhcjZM^hJ2mMhx_Cg zLmD&f z9CEj8I0JR1<wE-_QUMq#OxlzcZ7Tb z-ibM_HsC=Ll_&?Xd3oKHVgW)I>&Pf|k@WKDpxm%x<0ZW(4jy4KpLGY~?ri9ZX*~53 z74X0ZzPh8=WAfyCNhN!_Euk+=GarpT(pIaIIMr1p(Z=x)&$}0M1Om*Dta)9w+(UAK+eXKmYe0U#1y)$P7Yx&xx!T93i z(NzsE{|jmkKWmTOqwjs;sK6>|L?k51=67v~yd zj?0_YgcDC>3e?Pv8)`Tnt}%}U1z@ezUQw*t$ZU#w`oZ2~-QV^mxsk|;1qgdT9>E$p z(yh5xH6bgv#N7uwzYRP<=NKF%lqoCOV~QtiA}?l1mA3h;OH7IKF_sf{YyqKfu;?e4 zku(?PzOD%%?wEVchthb?%vL~rWY~Ig{C$Y|?DWWxsB$%0Vmi7=dPMd+v_?|B3vyL>0wh zAt^JxKA{`TjWEqR8WaBHWEor|VirXibOP+7q=)a9mw>*2r{^B5 z>oWjobLy^H&}UYYFT_%GfFX%(c#1E@@l1tf`=M-HH&3||G&$^sVwpGve|n|V8^B*{ zOC=|9xcb@MWc}(>qZ)9er7E<_Rc1mXTLwbR72GoYrvi!EtU4!IF|Jyp;l7ZEeq&M? zVSc++)aD@@(d)MM;uG&31e1 zb(7sI>&(0JW0_SpFn@Ptglt;?e(F&A!vnRS`=(Sht}v7*cYS?ibbdpqvFggg)CBp#BA~kRA0s zyDh6HyEcKP%ixqV@4u3A-Y|*`nEGw@RP77NmX)RoC1i>98rY`QwjG~J>2?)~a*osr zIrHzndZPZDs_F9XMaN1fMewq1h9p8ETwU<7#r>8<$qw{8BJOzrxqvgeN}U>NC7MuR zG9=%-ZXD*Qe4_agAw|Z8s=FJ0Sa6$pwj#xdkGzsyU1fKzg>GEDkfJBU*y&MD#v2P! z22v-i(pU%xv0`mY@?I|?S$CN!fu(+y| zvlD0|8x`)5DPcu$<#et+`j?sPqQ$c}0(6SZPaawhIe<7oL9uiEHzT5nXC6Sm^vR1r zfODBtPqs6^D9Cd%DXKPaW=7MRpVAg6TaiZ+*46uRn0i!I7??*cw2a9Ci(Q8OrWpT) z7y7mN!S2U1Pu8?06>x3DvpjNAP|LMe4>K>cgn@CD!ZEW}-S};YW6rJQG9;06Pyc-k z<)~X<<2EQ*d9Ck?Rx64y{C+s*_OMB`#53Hm==X3S7Nysc%}2$8 zY3=pE(nX!5%;GxpJg)PEcnSDy;9+j>P>l4UCL$DSK^gwze&21vKP)r8ESB8_OX`P` z%(~76b^dcA?w%4DS5g32fl=R1ZLmJ|M3fllS2A`LE@d-;7D`B=F}K=7a-R_?uYxx8 z3G9J*j$P41g%KxHs}+S#@i)F@d6FmZl9KUb6V&2Ieh3fmJn~C>dSfBZ#kB7^QRWvJ zLVI~}rs!+`k`XjEH+6-rmCgw+4CZjNLOoH&PkOyvi_Hd9zH-%a1zIJc65%+Lr(3V# zP+^32nb{7r0Sen)CTO`hv%s&F@I)b;W_@0_o4!r26zw*A`X!4_k=Ho!I0h7VC&I%s zAs^AIirDYvnEV}^rAUD$KpoKYnrto!5||H%DKDZaI41B6Jl)D7)m*GpD4Rkjqka!J zd2*%1-dOZ|;VBppYC)~dU8s{}kq$>Kl=CsW{`gyw9|XSUo7ho|$n~Upr|kS-m$7e?kYQ=5|C$d z2c@31E#&{wM)&r`WQXvsV=niM(w7htfVyQWCFQ z&=y_B)yH~H{MX?o+eP0)LMA*AOkyT#P7=y;9A#e9`%oqqHo$7Uvu->Hycys&aSbZ3 zAKGd3x6)+n=pn@Db=Nf0v`0$~5Eik_)8MwVdLbUP))7fr8w2HAD;4J3zejRZh2cHH z%}Mp+gB?NT)_xlcQL(Q9=ObUyp@!)N@WKcFMAyQcI0K(*A^L?&(|}X~fS@E-}m>m4rU| zd<+}2JSkuq&7{D_BjzE<{JKc&^R*K$if96cMZsMyRY_!`X)|-be5eocvedHMJxd0L znYt>hus}I#&YgZ7)`SJ!wULuFv7Y5)YqgQp80tvYuEhCDLG-l%*>fk&Fs3HH34Ke3+!VfGF7Ouj#0&19_VoKj z(jYJ$3;?vq>GT-+2WT4@q?xadc~CYp^PU9PvidEg-cOJ`f%;`F){ZRWN?$|0!C)o_ zPnPi#vnp0#oG-?$s~7UZCF6aOl8dEqSMf(RSq8`GT3b08He#~At3J32$~rE3q-?d2 zjf0kmy2p>T^-VdpRgS*yo5C;PXR=jMFPARVRSp|`s>v~+#P~nE^;Y|&e#WyzHcx>R z5_{I)hPmF}_CEZdiaiEz#_U^MIZWexV_0o1-%H1Kw!*o^{|Bn`mu2VMyc#2(kiI%! zlVosWuBNXF|41bj!8G%|j01k|>J~K9YOJ}!Q(vyOCm^C2eT=QS*G0}g$}{e&ISjVSsOX%~BbIZP7~ zJ`?Ui%!nd?!+v`>j-N<#G^n3I%y;cbI7kFkVYOGJm&x=1ivnS8@63m8W3;&HoX0F3 zeELQwz%3lQYQEC#sC%ICf+s%;&v@#kK^2AEV!$IFC*-^@dpT=Zpz^O$fouad%m~=* zUc>PJA8;kgYd)jT`#xf4cRO$Ww>rt@?Wf~W0L1Ki1y3t=&D_x&yCo)S?}7_xY=zMY zk5hhLa0qG(J_z$4InMu|Sxfuxzf|xar{djww=~nPBchdNpz7M7uCr|M-VJIuFyAaX z1hn7Xm!|ufy!85OQ?vCJm~Zt~t$syb<&^OI)vc$^SUaAtUyr>T^xb#I_N@JJ$J-st zF78>s;fG3m`Fwkxz=5l14GjT1N`WljBGIG`Eq3N(2B}oaY?f8cNOTvDthMexUhwS4 z{@V@A`W1W3&E7i}CT0?(6!+boXm+6Yr%qL$MS*}K{}Y<^kCWf;7@r2U0l4t%Ypwts z3^x6QsuoHA1fd`&he?GE3cf8dbtzBkEDM~PkCM0VMLMhlE3q+mOX^naIGy6>d^?#_ zPQnvE4Q2=VF=Fp}t(9?IMrb~zZ5iMQ7dBt2+>_H168kGUbp&a!bT>|s4Ors~g~D5X z99f|Up01kV5HkKeH<6BRa8LTFE{@@wPs3*3TC8&~G0+7Otabjm+QK7&2-c^*AtYC^s6tCqVsR z7OCBLuS4}4HnPa1dD19Eyijk`LWan0jkI*J+64W9^C7q~wCp0jcxKGF&fa(CvJ>9o zYMW&-qi%Sr-|pr@lCv8teHOWw)-gOq0O#`~iYCmfVx7=L zH;-NqOeHJaBB5*YX7+q4B}pHNa#+VQJ72*kXT$4H_*`K>Qw~8xaBU~sxjt(C7(pQL zk-t3h91S=R|FKDTt?W;T?%P=aUeitSv=Dhsv)w_8uC6#cUsWWa-nfU*DNcFt*qW=! zDR0?@d}Yy!_oGyZ_n%ovEe_wNECm zEzy}!c5QlJPhH8}^1oQf&piV_pchp$FL=Hk4nyX*IHX(k_RDq1YU3{2X{mvA6Qr3{B?!nM|-ot zAYXhTbEXawZA34-V9M5Er9~s3!R_FZzqX+9Z+l9IWesN_i9J>Km(F52Z&!}b8YNnw znY?L~ZdLsFYxe!MiSM+0Iv*$AJA)?4fm*PpC-4$cEyA?NHuktD;K(7|;O)%W4k(oq z1Kd^&vp3HU0d2u2tq}4sAAoVX$`(FchYFjN7ou`(KncbX?l?kGcPvSV7Pk|*DL zY@O&x#`Cf$BL%8^j9^-0S`IRTb>?-CeoH@S3(Ppp;95IkJZZ|mo_v1Qqu<@Y*~v*F z<2g3RB{A>zBO}B=_>Bc)4SB(^^Y=<;Q%Ef@WN5zUe17SN*03|Qd1x=V2CT)k4x(CR zaZlu}(L;r~<3TU!`RqST$kq!wWa-;p(8lz9ioWBuc~l3)!ZT*-O5;Upbl1UErB?77&`HX}7q-k4!)K#;2kl`P3A9FdoYALV0<(wu_U}W-{itIw z<>E+0H%Xb7OKJnG!66(Ex0u)}Klq~9>EMU(;0szDU&@U2>@^*eLId{^-JdpM0ypDb zIx(Gp2?a{_5l0Qo z;j73T;!|_)0_P{d`nIFB0^EKZYI>pl+M)Ozv!?ik;7NLOxWL!%Bpww7J$t(bGq|rFhqs0rhPADy6^z2luCJ6%k_LA*eq6#D`P9XZn`qXx zetu&?5wgn78{f?-p+@+!SpPa3vgp2mde03b-j66gCPC&6Y94IHU=IJ0QHWyY;Ts4e zV43`9clN)wVMN~=UVhlLp40}{-kNzT(R-r*_ZZCPhJV1Ec21Dx!`N1>+#^qfZ-nIm z-8?SQ!wiFYa0rq5t~M!@4icRdg${-AUWLje=oYw9_f~b%IwN?F6R0FJU(m1Y-{)s_pFJ>x^{R#7>@bTXOjM*ygz{+Bb3xh?6MlJwbd^*!JZheEH z23VB$ir%<*Yozbk3CCL0a5oX-&G6KDu#;R6w^x3{pCZSVz-d+C&nR8>1P(wNB=KDO zENf22aFu1yK*kMC3@d2=!ef1(8KOtMC0wcwjEJtkc1;~4j<|;?YepZVWNxM{N_u>b zhBt*9I#B@yCaT*-O5eN}QUaae1Hm#AL=D^Z46{c<%9bU%A$9OnkU33&a^K+8F1yvoYpWDWkz+jDlGOKA~2EIF?1t-uo6v@5*O}I&?a;}H# z+~lxtQh~IrJx#neVg!l+CAhlyxH9R+>h_ZnB%;%tZG-pIHxXyxqve#``|9l$gS!%fe6Q&*cD9ChOwALVsST7) z2+x)b_sJJSNu}h(onSKwys;wu`@Tb8g+?@ys4y69B=E-pX4sZv=^h%I5k?q zO)TEK>)<9urg%nAN;F1vqNP&v^%6g z^$6RzNPH2sTk(`}_DGWZV3fT)HJG{pHDDh1TXAORSUD37zYsITtn1#wX(5;U`%Q9vD7A}k^#K%8cGsg{1DCXMq+|l$ z%Q9)ushc9n_c|z3=af6;Ikj+NiAOvzyRPUUDca@99(Id89Iv0u2@a7rx{Ra(xDdvU zx<}~HC=wwWuzrI*381+XY9#h6!G<>Z+su9V@ntz-KO^CY&l6r5iuuc z`$2cR=g&_O?!jYUuuof(!^>UfHi4fr(lmGd_HPpG9pM-|^6S z{>_+m&Ae4}RLAh`yx>FMmkHd#tYX{3>#$h)DDnmBYjCsI1riJYe3~F7lB74%LEqa!66L z-lk3bB6Mj?KzIhb<(15NFecGV2%M18?3G zRX=I~gFZM}ukDsKJS z4`H!Gg*INWv-BhcN6bEKTJ|g@G#k>zHW*ihV&yY{UGt)Qx*vUyhf|-G_M$l+1mr~GCmE3eauL|pGMQ)I_ZsidhKbRV9|2YD^iDkNG92NeXq9)# zKK=9IxE-115r6y?zEI^)OHoi-LMp80L6Al+sBx9Ym-Jb8EE ztA|u`gZ<7m50uv+5;jJh=M>^XJ-Al9P#!TQXp`u0&LDZf2$NfbM6<&BXbEJ^A(SYM zc9}(X_$-tYsJCn=k{mda-H8pDkVcJ8$ACDF5x()uY1~47$@=`BLI^37@RfCN$(G2W zlRfoJbmQ+JdJlW9+RHvT>)-!J1R6+?VBOjWTu#zIwIMb#x-^9TH+&6AM%1b*QTiz z))&J;{O10p-WtxiTR1Bd^iREvxTeq2|EvU;dtY|GPy!ehcsPjyKW-JbD#qYD=!Q-_ z9ZOBVoWK!;%Y|Te5<)>NN8m2c06i1YFVzB?JPkUs(bpwjlhcAs+1PXXABKk3V%?b7 zvbZ?8a{C2La%f(M$`hs=5OxO6XC>%}p;7D38f)*Re8J_$$!x#rL;hvkQ!oDS5ulwJ zd(s;-dWRrB1QW_wx059|^}!%aOtY*O#Lybs_p*MeI7Acr%aBhN#a@l=I}tHBaGM){ z*hUR`wTg|QG2q%vu^Pf6=Hda0eA5$bBY+RBcy9n1atRwUX zGo9xmX&$u|Un-#__^j9+hg(h6V*-O^yMHzaX2#MQf7Ur)6yhjvPN`2AO2TQh?{moa z=zJ;Lnf2#NXZ~A#SJ9)J^;hjV!o)SJ)=6wn#$8Y}vWxpd`(C;N$#|1!Csnvaj3TC`&1Hh1>mFBi1)1&8FSlzKKDzAEEOYRNawWR5Q1czSVN zxllQjQhz~H*JnHnPDmIuN^Ew{3r*`5JiT9m4LCCvOQ#rE!pg3^ zklvvFp2<0}@>qB&q#sUO>F#Vr{paYLIMrr1crj&iO8q4by${m>$uJA3ocwTC&GmVV ztAU2w6?{L#kaf?E0SDMeakj;sh}c_;AI6xQd8gD}Zh=GOt-><_Gq28-R0`@%)@$?S zTaWzM(ak3h^v<@V)W=(ITd!@JrCs{v&uxHtq@fLkSzh~Y*gq=0a?XXLmUicatHH2G z1zS1Yz;o<;>Lxxn98_`p^B(!1+}X`=MlqF}lFAai{Aa0SNQGLbH{SX?{-!2RQpKOR zW>EFf=klV1u+z#Aw}ja5JlpoBXYP67sD07yUq)7h^P*~UEXdo@N7Jt(7 zdFl`Rx9;Wr=}{A@+u{6iYkE!BIJqQS^2lp#lbx>3;TY=Vlxy9xWr05#IT;47+i4sW z8CU!WE@QJ51}0~s+@d}#(>Xt0L|ZD83_#W1Sl-O7N+kh!x9ISjQMNfFb*b?3HJrw} zj^b@`80*NnV5|rAg}UI&8;6$L%;@})eyqI+W8F56^?p3t&Y!0unxYJX zF6Ue4DB~*y+0IUTsP>kX4BrOt$DSl#^XSjvm)WKCmTac#df(H<2g_P@s**AQ>lm0h z0paqt-7ga`xt%8n`Mpa6CsOwk?s$!Cp$-c6Hh98SZlru5{xdr`YWLJW+l`7)2fu02 z8k#2X=4hAiF4G>gH#kfAKBWxA18Bud!FywlN#9raI;MHeFxt zz~HcNOWb<(2(|>Q$JMb1xkusR%GM~qhQ7xwMLDst0}12m5h=2ek&-FJquH#F_Aarj zBW}TLmu;sgf&wBX#7uxV@Z-)!38yHOtkdCl7$<4qc3U;qmtpSH4cQGVN=Ar>B`sTR zc9=et1w`$xnA3%1=9GDNI0A2HWOXZjnh6Z9>H+$-^?i>BbdwNT#{~At5@W0PtgR^_ z)6@;r-VzoTYMiMz(>WZub~$uxHVCytbV=1Ti_HhxcfW?X|uZEBR)**cM!iAi&}V9_lh zi4GTXN_#WLIB{JGN5v_V*VzY0w!>$@M9=%GvhaFCNg>?&^)ZxK0w*@vuJ>bOTStBI zn^v3BJPU1HGT{X0W@@~$wX%=c*?1I_;YF{_$WzDC3u(4mJ$^11w9^z{+2cJ8=Ns?9 ze@`F|`MUrQA>A$SGOYm1SE0F^sJ@l<4Kl;5ibEr?C9o@hOfIM9xeR@aB@tnS0@gqt z1d4CLA?n%c-2T18p>)m?=asOjNX>P*7>lE#8o|H@e}^LJ+b`{58JF&>mt7@b?VoPD zrmm2^Y$)4mS-|LXllbF*RWHkyn?*WujMKr`z{x2pJ)0@=4RSuTwyr#yAFbmAYH=tk)X@>;r!L@?vXc}4m2EqZ3lomkxW^6B1hHbFjCMiNus2zTCQo0+C#fNepYw9((IVAzo*P)dkH(^U?Ey4ZrsPmbpDRK!Y zGdFXeG;e$|)4)!rw;7n|@|WoSa-kdw0F3Zo_fC@FswQvrx(QrK|JUokhXZSSK0*&W zB3iD)KOp2|7b`~fT8nsL^ zw5ml`;IWf3!GE@Ji=4V?i+QBNDb7kUTdR$OOUQ5*byJV~SSVyncZCxLQ*b34eieQ^ zij_)0`@vY1R^P%Y9CechK9Wu`fy+paiP~5UYlNz3hvR1IWs4lfUfO(R_6W`hy(@+R z(z72k#{+BPMk77t=5TQdnX-pJfUB}^l5{%Jvu8Sn4x+!H!ic?^@R6x7ZU{LO16jhk zA3q~~F&2f>OJy5ZGDg2v4%(d1FK>s*3e-Rg?D6C27YyR=Dlc`6mvW4@?LvQHfZ2j9 z$+O)Zci1+UUNEpU9==H+jzAOqguyS6O?cA$J+BxfX~bX-mc55H-y{PNb}vGXF<{PL zh4Gk2cDDkAkr4*)_FsMrv&OXAgiN%uw#iXuu3q?kC(`#{ufI3|DC0I~ghX_AW^O}T OemUT

Latent Dirichlet Allocation

- Source: R/addLDA.R + Source: R/addLDA.R
@@ -137,12 +137,12 @@

Examples

loadings <- attr(reducedDim(tse, "LDA"), "loadings") head(loadings) #> 1 2 -#> AD3 9.790091e-04 3.165277e-07 -#> Acidobacteria 3.632097e-02 3.479447e-05 -#> Actinobacteria 1.094086e-01 4.885553e-02 -#> Armatimonadetes 5.271621e-04 3.908754e-07 -#> BRC1 7.079012e-05 1.296139e-07 -#> Bacteroidetes 9.675582e-02 3.759320e-01 +#> AD3 1.004229e-03 3.809640e-07 +#> Acidobacteria 3.725413e-02 4.003080e-05 +#> Actinobacteria 1.103587e-01 4.976793e-02 +#> Armatimonadetes 5.408664e-04 2.324428e-07 +#> BRC1 7.256634e-05 2.007270e-07 +#> Bacteroidetes 9.475102e-02 3.681894e-01 # Estimate models with number of topics from 2 to 10 tse <- addLDA(tse, k = c(2, 3, 4, 5, 6, 7, 8, 9, 10), name = "LDA_10") diff --git a/reference/addNMF.html b/reference/addNMF.html index ff5ef03b4..0fc982957 100644 --- a/reference/addNMF.html +++ b/reference/addNMF.html @@ -46,7 +46,7 @@

Non-negative Matrix Factorization

- Source: R/addNMF.R + Source: R/addNMF.R
diff --git a/reference/agglomerate-methods.html b/reference/agglomerate-methods.html index 5833ccda1..ae4693c89 100644 --- a/reference/agglomerate-methods.html +++ b/reference/agglomerate-methods.html @@ -51,7 +51,7 @@

Agglomerate or merge data using taxonomic information

- Source: R/agglomerate.R, R/splitByRanks.R + Source: R/agglomerate.R, R/splitByRanks.R
@@ -81,12 +81,13 @@

Agglomerate or merge data using taxonomic information

) # S4 method for class 'SummarizedExperiment' -agglomerateByVariable(x, by, f, ...) +agglomerateByVariable(x, by, group = f, f, ...) # S4 method for class 'TreeSummarizedExperiment' agglomerateByVariable( x, by, + group = f, f, update.tree = mergeTree, mergeTree = FALSE, @@ -199,13 +200,17 @@

Arguments

Must be 'rows' or 'cols'.

-
f
+
group

A factor for merging. Must be the same length as nrow(x)/ncol(x). Rows/Cols corresponding to the same level will be -merged. If length(levels(f)) == nrow(x)/ncol(x), x will be +merged. If length(levels(group)) == nrow(x)/ncol(x), x will be returned unchanged.

+
f
+

Deprecated. Use group instead.

+ +
update.tree

Logical scalar. Should rowTree() also be merged? (Default: FALSE)

@@ -477,9 +482,9 @@

Examples

plot(rowTree(esophagus)) # get a factor for merging -f <- factor(regmatches(rownames(esophagus), +group <- factor(regmatches(rownames(esophagus), regexpr("^[0-9]*_[0-9]*",rownames(esophagus)))) -merged <- agglomerateByVariable(esophagus, by = "rows", f, +merged <- agglomerateByVariable(esophagus, by = "rows", group, update.tree = TRUE) plot(rowTree(merged)) diff --git a/reference/agglomerateByPrevalence.html b/reference/agglomerateByPrevalence.html index b96fb9970..9b4821d55 100644 --- a/reference/agglomerateByPrevalence.html +++ b/reference/agglomerateByPrevalence.html @@ -44,7 +44,7 @@

Agglomerate data based on population prevalence

- Source: R/getPrevalence.R + Source: R/getPrevalence.R
diff --git a/reference/calculateDMN.html b/reference/calculateDMN.html index 08ed4a1e3..fc6005c37 100644 --- a/reference/calculateDMN.html +++ b/reference/calculateDMN.html @@ -46,7 +46,7 @@

Dirichlet-Multinomial Mixture Model: Machine Learning for Microbiome Data

- Source: R/calculateDMM.R + Source: R/calculateDMM.R
diff --git a/reference/convertFromDADA2.html b/reference/convertFromDADA2.html index 6246563db..57ae6dd5a 100644 --- a/reference/convertFromDADA2.html +++ b/reference/convertFromDADA2.html @@ -44,7 +44,7 @@

Create a TreeSummarizedExperiment object from ‘DADA2’ results

- Source: R/convertFromDADA2.R + Source: R/convertFromDADA2.R
diff --git a/reference/convertFromPhyloseq.html b/reference/convertFromPhyloseq.html index 4a4c8b4b4..fcd9a5db9 100644 --- a/reference/convertFromPhyloseq.html +++ b/reference/convertFromPhyloseq.html @@ -45,7 +45,7 @@

Create a TreeSummarizedExperiment object from a phyloseq object

- Source: R/convertFromPhyloseq.R, R/convertToPhyloseq.R + Source: R/convertFromPhyloseq.R, R/convertToPhyloseq.R
diff --git a/reference/deprecate.html b/reference/deprecate.html index 07470f0ae..8726d98c6 100644 --- a/reference/deprecate.html +++ b/reference/deprecate.html @@ -44,7 +44,7 @@

These functions will be deprecated. Please use other functions instead.

- Source: R/deprecate.R + Source: R/deprecate.R
diff --git a/reference/dmn_se.html b/reference/dmn_se.html index 3e85bb9cf..336914336 100644 --- a/reference/dmn_se.html +++ b/reference/dmn_se.html @@ -46,7 +46,7 @@

Twins' microbiome data from 278 individuals

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/enterotype.html b/reference/enterotype.html index 2221e485e..fb23f4bfb 100644 --- a/reference/enterotype.html +++ b/reference/enterotype.html @@ -51,7 +51,7 @@

Human gut microbiome dataset from 22 subjects based on shotgun DNA sequencing

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/esophagus.html b/reference/esophagus.html index 20b609392..cfe1070d7 100644 --- a/reference/esophagus.html +++ b/reference/esophagus.html @@ -47,7 +47,7 @@

Human esophageal community from 3 individuals

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/getCrossAssociation.html b/reference/getCrossAssociation.html index cfbac499a..7882178e3 100644 --- a/reference/getCrossAssociation.html +++ b/reference/getCrossAssociation.html @@ -44,7 +44,7 @@

Calculate correlations between features of two experiments.

- Source: R/getCrossAssociation.R + Source: R/getCrossAssociation.R
diff --git a/reference/getDissimilarity.html b/reference/getDissimilarity.html index 04c00a231..9e005999b 100644 --- a/reference/getDissimilarity.html +++ b/reference/getDissimilarity.html @@ -50,7 +50,7 @@

Calculate dissimilarities

- Source: R/addDissimilarity.R + Source: R/addDissimilarity.R
diff --git a/reference/getDominant.html b/reference/getDominant.html index 4a55a6fca..06c7d5a87 100644 --- a/reference/getDominant.html +++ b/reference/getDominant.html @@ -46,7 +46,7 @@

Get dominant taxa

- Source: R/getDominant.R + Source: R/getDominant.R
@@ -61,6 +61,7 @@

Get dominant taxa

x, assay.type = assay_name, assay_name = "counts", + group = rank, rank = NULL, other.name = "Other", n = NULL, @@ -73,6 +74,7 @@

Get dominant taxa

x, assay.type = assay_name, assay_name = "counts", + group = rank, rank = NULL, other.name = "Other", n = NULL, @@ -110,9 +112,13 @@

Arguments

Deprecated. Use assay.type instead.

+
group
+

Character scalar. Defines a group. Must be a value of +taxonomyRanks() or rowData(x) function.

+ +
rank
-

Character scalar. Defines a taxonomic rank. Must be a value of -taxonomyRanks() function.

+

Deprecated. Use group instead.

other.name
diff --git a/reference/getMediation.html b/reference/getMediation.html index 69269faba..2f5024c93 100644 --- a/reference/getMediation.html +++ b/reference/getMediation.html @@ -46,7 +46,7 @@

Perform mediation analysis

- Source: R/mediate.R + Source: R/mediate.R
diff --git a/reference/getPrevalence.html b/reference/getPrevalence.html index 1ab919b9c..5d5abddf9 100644 --- a/reference/getPrevalence.html +++ b/reference/getPrevalence.html @@ -45,7 +45,7 @@

Calculation prevalence information for features across samples

- Source: R/getPrevalence.R + Source: R/getPrevalence.R
diff --git a/reference/hierarchy-tree.html b/reference/hierarchy-tree.html index 4a4b30ccc..22a847ef3 100644 --- a/reference/hierarchy-tree.html +++ b/reference/hierarchy-tree.html @@ -46,7 +46,7 @@

Calculate hierarchy tree

- Source: R/taxonomy.R + Source: R/taxonomy.R
diff --git a/reference/importBIOM.html b/reference/importBIOM.html index eaa091d3d..8c69a0a30 100644 --- a/reference/importBIOM.html +++ b/reference/importBIOM.html @@ -49,7 +49,7 @@

Convert a TreeSummarizedExperiment object to/from ‘BIOM’ results

- Source: R/convertFromBIOM.R + Source: R/convertFromBIOM.R
diff --git a/reference/importHUMAnN.html b/reference/importHUMAnN.html index 0002d805e..e24f201e1 100644 --- a/reference/importHUMAnN.html +++ b/reference/importHUMAnN.html @@ -44,7 +44,7 @@

Import HUMAnN results to TreeSummarizedExperiment

- Source: R/importHumann.R + Source: R/importHumann.R
diff --git a/reference/importMetaPhlAn.html b/reference/importMetaPhlAn.html index 9090b63e6..6cb510f1e 100644 --- a/reference/importMetaPhlAn.html +++ b/reference/importMetaPhlAn.html @@ -44,7 +44,7 @@

Import Metaphlan results to TreeSummarizedExperiment

- Source: R/importMetaphlan.R + Source: R/importMetaphlan.R
diff --git a/reference/importMothur.html b/reference/importMothur.html index bd097716e..6e6a98187 100644 --- a/reference/importMothur.html +++ b/reference/importMothur.html @@ -45,7 +45,7 @@

Import Mothur results as a TreeSummarizedExperiment

- Source: R/importMothur.R + Source: R/importMothur.R
diff --git a/reference/importQIIME2.html b/reference/importQIIME2.html index 567b1351f..9e0211b19 100644 --- a/reference/importQIIME2.html +++ b/reference/importQIIME2.html @@ -49,7 +49,7 @@

Import QIIME2 results to TreeSummarizedExperiment

- Source: R/importQIIME2.R + Source: R/importQIIME2.R
diff --git a/reference/importTaxpasta.html b/reference/importTaxpasta.html index 4b34c5291..6fcf04c56 100644 --- a/reference/importTaxpasta.html +++ b/reference/importTaxpasta.html @@ -45,7 +45,7 @@

Import taxpasta-specific BIOM results to TreeSummarizedExperiment

- Source: R/importTaxpasta.R + Source: R/importTaxpasta.R
diff --git a/reference/isContaminant.html b/reference/isContaminant.html index 99a0fb59d..fa6702817 100644 --- a/reference/isContaminant.html +++ b/reference/isContaminant.html @@ -47,7 +47,7 @@

decontam functions

- Source: R/decontam.R + Source: R/decontam.R
diff --git a/reference/meltSE.html b/reference/meltSE.html index 96b96f187..03965ab4d 100644 --- a/reference/meltSE.html +++ b/reference/meltSE.html @@ -46,7 +46,7 @@

Converting a SummarizedExperiment object into a long data.frame

- Source: R/meltAssay.R + Source: R/meltAssay.R
diff --git a/reference/mergeSEs.html b/reference/mergeSEs.html index 9d66fc684..b074ab5ad 100644 --- a/reference/mergeSEs.html +++ b/reference/mergeSEs.html @@ -44,7 +44,7 @@

Merge SE objects into single SE object.

- Source: R/mergeSEs.R + Source: R/mergeSEs.R
diff --git a/reference/mia-datasets.html b/reference/mia-datasets.html index e26b57e20..ea2772296 100644 --- a/reference/mia-datasets.html +++ b/reference/mia-datasets.html @@ -47,7 +47,7 @@

mia datasets

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/mia-package.html b/reference/mia-package.html index 927181371..1c75146f5 100644 --- a/reference/mia-package.html +++ b/reference/mia-package.html @@ -49,7 +49,7 @@

mia Package.

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/peerj13075.html b/reference/peerj13075.html index b7d461f11..1dc349f6b 100644 --- a/reference/peerj13075.html +++ b/reference/peerj13075.html @@ -49,7 +49,7 @@

Skin microbial profiles 58 genetically unrelated individuals

- Source: R/mia.R + Source: R/mia.R
diff --git a/reference/rarefyAssay.html b/reference/rarefyAssay.html index 1ca4c7f2b..8c435fcce 100644 --- a/reference/rarefyAssay.html +++ b/reference/rarefyAssay.html @@ -47,7 +47,7 @@

Subsample Counts

- Source: R/rarefyAssay.R + Source: R/rarefyAssay.R
diff --git a/reference/runCCA.html b/reference/runCCA.html index 8dd6e78bb..ce73c45b5 100644 --- a/reference/runCCA.html +++ b/reference/runCCA.html @@ -45,7 +45,7 @@

Canonical Correspondence Analysis and Redundancy Analysis

- Source: R/runCCA.R + Source: R/runCCA.R
diff --git a/reference/runDPCoA.html b/reference/runDPCoA.html index 483a2c999..c866cb885 100644 --- a/reference/runDPCoA.html +++ b/reference/runDPCoA.html @@ -46,7 +46,7 @@

Calculation of Double Principal Correspondance analysis

- Source: R/runDPCoA.R + Source: R/runDPCoA.R
diff --git a/reference/runNMDS.html b/reference/runNMDS.html index d30d971de..6cc37e865 100644 --- a/reference/runNMDS.html +++ b/reference/runNMDS.html @@ -45,7 +45,7 @@

Perform non-metric MDS on sample-level data

- Source: R/runNMDS.R + Source: R/runNMDS.R
diff --git a/reference/splitOn.html b/reference/splitOn.html index 77ca4804f..338cf2355 100644 --- a/reference/splitOn.html +++ b/reference/splitOn.html @@ -44,7 +44,7 @@

Split TreeSummarizedExperiment column-wise or row-wise based on grouping variable

- Source: R/splitOn.R + Source: R/splitOn.R
@@ -56,13 +56,20 @@

Split TreeSummarizedExperiment column-wise or row-wise based on 
splitOn(x, ...)
 
 # S4 method for class 'SummarizedExperiment'
-splitOn(x, f = NULL, ...)
+splitOn(x, group = NULL, ...)
 
 # S4 method for class 'SingleCellExperiment'
-splitOn(x, f = NULL, ...)
+splitOn(x, group = NULL, ...)
 
 # S4 method for class 'TreeSummarizedExperiment'
-splitOn(x, f = NULL, update.tree = update_rowTree, update_rowTree = FALSE, ...)
+splitOn(
+  x,
+  group = f,
+  f = NULL,
+  update.tree = update_rowTree,
+  update_rowTree = FALSE,
+  ...
+)
 
 unsplitOn(x, ...)
 
@@ -100,15 +107,19 @@ 
Arguments

 
 
 
-
f

+
group

 
Character vector. Specifies the grouping variable
 from rowData or colData or a factor or vector
-with the same length as one of the dimensions. If f matches with both
+with the same length as one of the dimensions. If group matches with both
 dimensions, by must be specified.
 Split by cols is not encouraged, since this is not compatible with
 storing the results in altExps. (Default: NULL)

 
 
+
f

+
Deprecated. Use group instead.

+
+
 
update.tree

 
Logical scalar. Should
 rowTree() also be merged? (Default: FALSE)

@@ -168,7 +179,7 @@ 
Examples

     
data(GlobalPatterns)
 tse <- GlobalPatterns
 # Split data based on SampleType. 
-se_list <- splitOn(tse, f = "SampleType")
+se_list <- splitOn(tse, group = "SampleType")
 
 # List of SE objects is returned. 
 se_list
@@ -183,7 +194,7 @@ 
Examples

 # Each element is named based on their group name. If you don't want to name
 # elements, use use_name = FALSE. Since "group" can be found from rowdata and colData
 # you must use `by`.
-se_list <- splitOn(tse, f = "group", use.names = FALSE, by = 1)
+se_list <- splitOn(tse, group = "group", use.names = FALSE, by = 1)
 
 # When column names are shared between elements, you can store the list to altExps
 altExps(tse) <- se_list
@@ -194,7 +205,7 @@ 
Examples

 #> names(3): unnamed1 unnamed2 unnamed3
 
 # If you want to split on columns and update rowTree, you can do
-se_list <- splitOn(tse, f = colData(tse)$group, update.tree = TRUE)
+se_list <- splitOn(tse, group = colData(tse)$group, update.tree = TRUE)
 
 # If you want to combine groups back together, you can use unsplitBy
 unsplitOn(se_list)
diff --git a/reference/summaries.html b/reference/summaries.html
index a7e830268..b3f8b469f 100644
--- a/reference/summaries.html
+++ b/reference/summaries.html
@@ -45,7 +45,7 @@
   

     

     
Summarizing microbiome data

-    Source: R/summaries.R
+    Source: R/summaries.R
     
     

 
diff --git a/reference/taxonomy-methods.html b/reference/taxonomy-methods.html
index b1e376d55..1f31efd60 100644
--- a/reference/taxonomy-methods.html
+++ b/reference/taxonomy-methods.html
@@ -46,7 +46,7 @@
   

     

     
Functions for accessing taxonomic data stored in rowData.

-    Source: R/taxonomy.R
+    Source: R/taxonomy.R
     
     

 
diff --git a/reference/transformAssay.html b/reference/transformAssay.html
index 5637e3224..bcc8f5e61 100644
--- a/reference/transformAssay.html
+++ b/reference/transformAssay.html
@@ -45,7 +45,7 @@
   

     

     
Transform assay

-    Source: R/transformCounts.R
+    Source: R/transformCounts.R