chr2.13628_chr2_32395270_32404002_+_2.R 

fitVsDatCorrelation=0.875859381864692
cont.fitVsDatCorrelation=0.245422528693962

fstatistic=8014.47975824338,57,807
cont.fstatistic=1975.30337502621,57,807

residuals=-0.792171326509708,-0.0981719652970514,-0.00553430420477181,0.0843125295500558,1.44095623514951
cont.residuals=-0.821344435511088,-0.291841746538733,-0.0202906243290578,0.226849345467555,1.70175404481373

predictedValues:
Include	Exclude	Both
chr2.13628_chr2_32395270_32404002_+_2.R.tl.Lung	93.6422058594729	72.5517794102866	96.041458923575
chr2.13628_chr2_32395270_32404002_+_2.R.tl.cerebhem	103.977474781569	63.3779824488738	128.684004084461
chr2.13628_chr2_32395270_32404002_+_2.R.tl.cortex	83.552823645802	54.8105006559741	83.9268664160451
chr2.13628_chr2_32395270_32404002_+_2.R.tl.heart	88.1111892533396	57.8355997344964	86.2828679201106
chr2.13628_chr2_32395270_32404002_+_2.R.tl.kidney	88.5244094157192	65.6360532545829	87.2610507780765
chr2.13628_chr2_32395270_32404002_+_2.R.tl.liver	90.0917804888027	61.3290422440174	92.2734497114692
chr2.13628_chr2_32395270_32404002_+_2.R.tl.stomach	91.3180683865818	61.2446087387315	91.1897123478557
chr2.13628_chr2_32395270_32404002_+_2.R.tl.testicle	89.9740162563786	56.550702921969	93.5032407242607


diffExp=21.0904264491863,40.5994923326951,28.7423229898279,30.2755895188432,22.8883561611363,28.7627382447853,30.0734596478503,33.4233133344096
diffExpScore=0.995778020095871
diffExp1.5=0,1,1,1,0,0,0,1
diffExp1.5Score=0.8
diffExp1.4=0,1,1,1,0,1,1,1
diffExp1.4Score=0.857142857142857
diffExp1.3=0,1,1,1,1,1,1,1
diffExp1.3Score=0.875
diffExp1.2=1,1,1,1,1,1,1,1
diffExp1.2Score=0.888888888888889

cont.predictedValues:
Include	Exclude	Both
Lung	87.6548634913742	90.6723196771498	86.248741062312
cerebhem	86.0356985804482	93.216070401527	77.5594067606667
cortex	90.791292453178	87.816865284506	95.4540693897604
heart	90.805430900714	71.0146486958297	83.4851208547517
kidney	88.5180421012461	86.4430248545348	91.1236391117211
liver	88.7762604181256	76.9179751065323	78.8216292082142
stomach	94.3651314708991	94.9344883672876	89.4804429493238
testicle	91.5645915447405	84.2627202775489	75.1873401991546
cont.diffExp=-3.01745618577556,-7.1803718210789,2.97442716867208,19.7907822048843,2.07501724671128,11.8582853115932,-0.569356896388442,7.30187126719164
cont.diffExpScore=1.59983790088930

cont.diffExp1.5=0,0,0,0,0,0,0,0
cont.diffExp1.5Score=0
cont.diffExp1.4=0,0,0,0,0,0,0,0
cont.diffExp1.4Score=0
cont.diffExp1.3=0,0,0,0,0,0,0,0
cont.diffExp1.3Score=0
cont.diffExp1.2=0,0,0,1,0,0,0,0
cont.diffExp1.2Score=0.5

tran.correlation=0.460601693652341
cont.tran.correlation=-0.0266509815913692

tran.covariance=0.00281749359014494
cont.tran.covariance=-0.000133663015112645

tran.mean=76.4080148435373
cont.tran.mean=87.7368389766026

weightedLogRatios:
wLogRatio
Lung	1.12582936714106
cerebhem	2.17659345121603
cortex	1.77689770475683
heart	1.79684974735059
kidney	1.29644069465469
liver	1.65695909536509
stomach	1.72357042658152
testicle	1.98167639954655

cont.weightedLogRatios:
wLogRatio
Lung	-0.151975329625512
cerebhem	-0.360296701241999
cortex	0.149624632250899
heart	1.07817466877218
kidney	0.106064225519464
liver	0.632939483989296
stomach	-0.0273712520377343
testicle	0.371936224048437

varWeightedLogRatios=0.116597864375405
cont.varWeightedLogRatios=0.21201611868677

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.07794199038192	0.0922908743956393	44.1857552773885	1.20014912975948e-217	***
df.mm.trans1	0.457573030715694	0.0801424750076216	5.70949463030907	1.59220627419443e-08	***
df.mm.trans2	0.0987910412690152	0.0712351475250615	1.38683002283752	0.165876541302785	   
df.mm.exp2	-0.323070753133237	0.0925839137181847	-3.48949121028334	0.000510169493969073	***
df.mm.exp3	-0.259586680784578	0.0925839137181847	-2.80379895771884	0.00517168494877042	** 
df.mm.exp4	-0.180428773881375	0.0925839137181847	-1.94881342379391	0.0516639046073098	.  
df.mm.exp5	-0.0605024885068115	0.0925839137181847	-0.653488128520625	0.513627786102415	   
df.mm.exp6	-0.166675753866995	0.0925839137181847	-1.80026688409757	0.072191835727019	.  
df.mm.exp7	-0.142719336086409	0.0925839137181848	-1.54151331861852	0.123583913787201	   
df.mm.exp8	-0.262339285710209	0.0925839137181847	-2.83352987764959	0.00471855117800039	** 
df.mm.trans1:exp2	0.427763841024191	0.0861164056139413	4.96727467866983	8.29060130837165e-07	***
df.mm.trans2:exp2	0.187886768569906	0.0658334763867729	2.85397002986851	0.00442823817834017	** 
df.mm.trans1:exp3	0.145584531982297	0.0861164056139413	1.69055513806452	0.0913079592825438	.  
df.mm.trans2:exp3	-0.0208320315126879	0.0658334763867729	-0.316435234109458	0.751754008260759	   
df.mm.trans1:exp4	0.119547105886755	0.0861164056139413	1.38820361851473	0.16545814058939	   
df.mm.trans2:exp4	-0.0462672333795712	0.0658334763867729	-0.702791891282642	0.48238812833558	   
df.mm.trans1:exp5	0.00429961594543635	0.0861164056139413	0.0499279540847474	0.960192155370927	   
df.mm.trans2:exp5	-0.0396728799228418	0.0658334763867729	-0.60262471466284	0.546927671914698	   
df.mm.trans1:exp6	0.128023488627571	0.0861164056139413	1.48663297910387	0.137502346046203	   
df.mm.trans2:exp6	-0.00137124875707784	0.0658334763867728	-0.0208290497834525	0.98338717314842	   
df.mm.trans1:exp7	0.117586806231416	0.0861164056139413	1.36544024791927	0.172495196957732	   
df.mm.trans2:exp7	-0.0267053446595669	0.0658334763867729	-0.405649923492912	0.685107365983773	   
df.mm.trans1:exp8	0.222379006940809	0.0861164056139413	2.58230711506622	0.00998932092263462	** 
df.mm.trans2:exp8	0.0131764125871624	0.0658334763867729	0.200147604385202	0.841415568706066	   
df.mm.trans1:probe2	0.311698085202907	0.0563764210433437	5.52887323165237	4.35361607618535e-08	***
df.mm.trans1:probe3	-0.0545039141965562	0.0563764210433437	-0.966785638177565	0.333940840547	   
df.mm.trans1:probe4	-0.0279094964288277	0.0563764210433437	-0.49505619392494	0.620695213394269	   
df.mm.trans1:probe5	0.0991312507857917	0.0563764210433438	1.75838141107923	0.07906165559763	.  
df.mm.trans1:probe6	-0.334845001505602	0.0563764210433438	-5.9394511980135	4.24834495632582e-09	***
df.mm.trans1:probe7	0.220648032962666	0.0563764210433438	3.91383540989637	9.85043984997504e-05	***
df.mm.trans1:probe8	-0.399027306945176	0.0563764210433437	-7.07791128916099	3.18152029856451e-12	***
df.mm.trans1:probe9	-0.245716449154452	0.0563764210433437	-4.35849677235699	1.47875236218007e-05	***
df.mm.trans1:probe10	-0.0227333359288301	0.0563764210433437	-0.403241914050417	0.686877079722274	   
df.mm.trans1:probe11	-0.276465966440442	0.0563764210433437	-4.90392900655909	1.13609799890706e-06	***
df.mm.trans1:probe12	-0.406982039338775	0.0563764210433437	-7.21901163299948	1.21036364133417e-12	***
df.mm.trans1:probe13	0.0549631592104686	0.0563764210433437	0.974931685858728	0.329886290751648	   
df.mm.trans1:probe14	-0.363658617564832	0.0563764210433437	-6.4505445864547	1.91914009290644e-10	***
df.mm.trans1:probe15	0.119506479636156	0.0563764210433437	2.11979542909039	0.0343279657729821	*  
df.mm.trans1:probe16	-0.433654926155272	0.0563764210433437	-7.69213295434036	4.21611258722437e-14	***
df.mm.trans1:probe17	0.146850483126364	0.0563764210433437	2.60482095898676	0.00936140518747783	** 
df.mm.trans1:probe18	0.605273059220981	0.0563764210433437	10.7362803104445	3.16178425569149e-25	***
df.mm.trans1:probe19	0.135202711296934	0.0563764210433437	2.39821380631784	0.0167013972679581	*  
df.mm.trans1:probe20	0.306189150137094	0.0563764210433438	5.43115622578608	7.4145975942349e-08	***
df.mm.trans1:probe21	0.315940267773835	0.0563764210433437	5.60412069313395	2.87303501155294e-08	***
df.mm.trans1:probe22	0.369079715965776	0.0563764210433438	6.54670355328191	1.04563170895436e-10	***
df.mm.trans2:probe2	0.189372545257940	0.0563764210433438	3.35907355864865	0.000818727852306757	***
df.mm.trans2:probe3	0.0316184911424236	0.0563764210433437	0.560846016069634	0.575058194826931	   
df.mm.trans2:probe4	0.236870020291726	0.0563764210433437	4.20157959494474	2.94629251668927e-05	***
df.mm.trans2:probe5	0.607606512523511	0.0563764210433437	10.7776708999737	2.13492686222963e-25	***
df.mm.trans2:probe6	0.440477067536232	0.0563764210433438	7.81314349837109	1.73628274527796e-14	***
df.mm.trans3:probe2	-0.316497346533242	0.0563764210433438	-5.61400210719142	2.71943710289419e-08	***
df.mm.trans3:probe3	-0.657755881371655	0.0563764210433437	-11.6672159956013	3.55250329465762e-29	***
df.mm.trans3:probe4	0.323593061303040	0.0563764210433437	5.73986527194149	1.34074819250105e-08	***
df.mm.trans3:probe5	-0.0499752837201198	0.0563764210433437	-0.886457188931831	0.375635296464248	   
df.mm.trans3:probe6	0.0398555729964938	0.0563764210433438	0.706954649814533	0.479798739190794	   
df.mm.trans3:probe7	0.739403220363142	0.0563764210433437	13.1154693164128	9.19117375838304e-36	***
df.mm.trans3:probe8	-0.634832145740671	0.0563764210433438	-11.2605967883735	2.01568299892468e-27	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.37204530091384	0.185400945737187	23.5815695736061	6.09608550993188e-94	***
df.mm.trans1	0.103066273315023	0.160996314721599	0.640177841916747	0.522238698926497	   
df.mm.trans2	0.122654906636676	0.143102596083958	0.857111680662416	0.391637619894094	   
df.mm.exp2	0.115214501255214	0.185989625472793	0.61946735449536	0.535783368312326	   
df.mm.exp3	-0.0982519934653277	0.185989625472793	-0.528265989114	0.597459967925494	   
df.mm.exp4	-0.176486914805217	0.185989625472793	-0.948907307902686	0.342951828206040	   
df.mm.exp5	-0.0929490975155716	0.185989625472793	-0.499754205533191	0.61738438890637	   
df.mm.exp6	-0.0617523323122356	0.185989625472793	-0.332020305730809	0.739960139786272	   
df.mm.exp7	0.0829148425181115	0.185989625472793	0.445803588814906	0.655858704060348	   
df.mm.exp8	0.107577550647042	0.185989625472793	0.578406189988156	0.563151291549386	   
df.mm.trans1:exp2	-0.133859288823890	0.172997202040447	-0.77376562883713	0.439296005557061	   
df.mm.trans2:exp2	-0.0875464902915142	0.132251307219722	-0.661970699057551	0.508178979047745	   
df.mm.trans1:exp3	0.133408278916546	0.172997202040447	0.771158592989009	0.440838659780391	   
df.mm.trans2:exp3	0.0662534381182259	0.132251307219722	0.500966224917177	0.616531502712897	   
df.mm.trans1:exp4	0.211798912840929	0.172997202040447	1.22429097316505	0.221199765241491	   
df.mm.trans2:exp4	-0.067879034839442	0.132251307219722	-0.513257950083382	0.607911371475957	   
df.mm.trans1:exp5	0.102748396837740	0.172997202040447	0.593930974754826	0.552724725707401	   
df.mm.trans2:exp5	0.0451824971670848	0.132251307219722	0.341641214116839	0.732709857955884	   
df.mm.trans1:exp6	0.0744645114708035	0.172997202040447	0.430437663687726	0.666992230631594	   
df.mm.trans2:exp6	-0.102760197046326	0.132251307219722	-0.777007042173132	0.437382310981766	   
df.mm.trans1:exp7	-0.00915030507698529	0.172997202040447	-0.0528927923056579	0.957830417316969	   
df.mm.trans2:exp7	-0.0369799099967419	0.132251307219722	-0.279618483734937	0.77984187470071	   
df.mm.trans1:exp8	-0.0639400063518575	0.172997202040447	-0.369601390067038	0.711776479352918	   
df.mm.trans2:exp8	-0.180890135353024	0.132251307219722	-1.36777578351263	0.171763029011997	   
df.mm.trans1:probe2	-0.0396761721887074	0.113253253337988	-0.350331412293292	0.726181412567408	   
df.mm.trans1:probe3	-0.0407381156940494	0.113253253337988	-0.359708127522591	0.719159522060906	   
df.mm.trans1:probe4	0.00338792931028032	0.113253253337988	0.0299146312395065	0.976142533370727	   
df.mm.trans1:probe5	0.0376905292039778	0.113253253337988	0.332798644569580	0.739372715075201	   
df.mm.trans1:probe6	-0.0739640249265931	0.113253253337988	-0.653085211652667	0.513887356883704	   
df.mm.trans1:probe7	-0.0226875470635664	0.113253253337988	-0.200325786632007	0.841276268127815	   
df.mm.trans1:probe8	-0.0765110157717599	0.113253253337988	-0.675574550988162	0.499504336781742	   
df.mm.trans1:probe9	0.145864885439958	0.113253253337988	1.28795315932025	0.198131454688251	   
df.mm.trans1:probe10	0.0198393727205540	0.113253253337988	0.17517706675804	0.860984445591317	   
df.mm.trans1:probe11	0.02877667314768	0.113253253337988	0.254091359846416	0.799489704004374	   
df.mm.trans1:probe12	-0.0130241821356227	0.113253253337988	-0.115000512142056	0.908473323117331	   
df.mm.trans1:probe13	-0.0434973881675124	0.113253253337988	-0.384071864476164	0.701026358001186	   
df.mm.trans1:probe14	-0.0977486278958937	0.113253253337988	-0.863097747878173	0.388340153727456	   
df.mm.trans1:probe15	0.0743878666364463	0.113253253337988	0.656827635798208	0.511479012792888	   
df.mm.trans1:probe16	0.00697783981587888	0.113253253337988	0.0616127096592494	0.950886510970931	   
df.mm.trans1:probe17	0.122204348200811	0.113253253337988	1.07903609476109	0.280894036907133	   
df.mm.trans1:probe18	0.0531908885241593	0.113253253337988	0.469663227822858	0.638722519962891	   
df.mm.trans1:probe19	-0.0935273864408998	0.113253253337988	-0.825825163377698	0.409147344824113	   
df.mm.trans1:probe20	0.0785852192270207	0.113253253337988	0.693889287157997	0.487951324520239	   
df.mm.trans1:probe21	-0.0548560147470832	0.113253253337988	-0.48436590676449	0.628257636226656	   
df.mm.trans1:probe22	-0.0658093801180604	0.113253253337988	-0.581081586430561	0.561347715241883	   
df.mm.trans2:probe2	-0.0664805970085053	0.113253253337988	-0.58700827613405	0.557362329051225	   
df.mm.trans2:probe3	0.0285851881029569	0.113253253337988	0.252400591245255	0.800795714077187	   
df.mm.trans2:probe4	0.123711167149219	0.113253253337988	1.09234095712925	0.275009252018364	   
df.mm.trans2:probe5	-0.0137256171433628	0.113253253337988	-0.121194020823407	0.903567529027664	   
df.mm.trans2:probe6	0.103636704096517	0.113253253337988	0.915088097180114	0.36041872592543	   
df.mm.trans3:probe2	-0.300430414198951	0.113253253337988	-2.65273098426903	0.00814122743684109	** 
df.mm.trans3:probe3	-0.257580968772309	0.113253253337988	-2.27438030414540	0.0232048355551079	*  
df.mm.trans3:probe4	-0.167075008525730	0.113253253337988	-1.47523363436738	0.140539770245251	   
df.mm.trans3:probe5	-0.105417630414619	0.113253253337988	-0.930813264145401	0.352228529125517	   
df.mm.trans3:probe6	-0.0838074934063856	0.113253253337988	-0.740000758797402	0.459514753188562	   
df.mm.trans3:probe7	-0.0779551236021145	0.113253253337988	-0.68832568870643	0.491445520537249	   
df.mm.trans3:probe8	-0.131981532596591	0.113253253337988	-1.16536636879393	0.244215058506641