chr1.573_chr1_131562790_131571887_+_2.R 

fitVsDatCorrelation=0.838697577342475
cont.fitVsDatCorrelation=0.212196854004479

fstatistic=9250.45730700095,57,807
cont.fstatistic=2863.15913891299,57,807

residuals=-0.659140152257667,-0.108713544387146,-0.0049682477827129,0.0897108650095333,0.78531862585368
cont.residuals=-0.66574001162349,-0.240160756688955,-0.0222991063320842,0.218957779177786,0.871812741695342

predictedValues:
Include	Exclude	Both
chr1.573_chr1_131562790_131571887_+_2.R.tl.Lung	85.3061553492177	70.066011300179	86.298701815952
chr1.573_chr1_131562790_131571887_+_2.R.tl.cerebhem	61.7268512179717	55.6579003805387	68.5756124887579
chr1.573_chr1_131562790_131571887_+_2.R.tl.cortex	62.4169818936753	58.4095794547882	67.7725154603981
chr1.573_chr1_131562790_131571887_+_2.R.tl.heart	66.6012321299294	64.5600332804129	67.613792943132
chr1.573_chr1_131562790_131571887_+_2.R.tl.kidney	77.3228725463413	65.0128804407707	71.7477308243903
chr1.573_chr1_131562790_131571887_+_2.R.tl.liver	76.5833412331498	66.6496515860098	68.750906686138
chr1.573_chr1_131562790_131571887_+_2.R.tl.stomach	83.467311339606	79.9168339330213	87.3948136468299
chr1.573_chr1_131562790_131571887_+_2.R.tl.testicle	94.5906659686843	75.6293124506438	86.1960057589085


diffExp=15.2401440490386,6.06895083743301,4.00740243888706,2.04119884951653,12.3099921055706,9.93368964713994,3.55047740658478,18.9613535180405
diffExpScore=0.986322580889298
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=0,0,0,0,0,0,0,0
diffExp1.4Score=0
diffExp1.3=0,0,0,0,0,0,0,0
diffExp1.3Score=0
diffExp1.2=1,0,0,0,0,0,0,1
diffExp1.2Score=0.666666666666667

cont.predictedValues:
Include	Exclude	Both
Lung	73.1737621297153	77.2049428093451	83.0025421434823
cerebhem	80.7219408523051	74.6132337804538	77.4787010937868
cortex	79.1238640279594	78.1554395353226	79.3904744953026
heart	77.6515834887115	83.7841609516639	83.4928885985493
kidney	78.4267236273141	82.369515616776	75.052078715816
liver	76.0045181410685	96.2332206530691	81.2546779616309
stomach	79.4660835229004	79.4649066356962	81.924917761353
testicle	76.1195114809617	81.9003702195353	75.218546531712
cont.diffExp=-4.03118067962981,6.10870707185126,0.968424492636828,-6.13257746295244,-3.94279198946185,-20.2287025120006,0.00117688720423814,-5.7808587385736
cont.diffExpScore=1.38652955744775

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=0,0,0,0,0,-1,0,0
cont.diffExp1.2Score=0.5

tran.correlation=0.872918434424428
cont.tran.correlation=-0.311758723660176

tran.covariance=0.0167972818992921
cont.tran.covariance=-0.000733469705478618

tran.mean=71.4948509065587
cont.tran.mean=79.6508610920499

weightedLogRatios:
wLogRatio
Lung	0.85569359503289
cerebhem	0.421325169999514
cortex	0.272109357447190
heart	0.130211451875749
kidney	0.738925996000038
liver	0.593079279970409
stomach	0.191379916107949
testicle	0.99277975827694

cont.weightedLogRatios:
wLogRatio
Lung	-0.231648002782226
cerebhem	0.342443470753920
cortex	0.0537526278291908
heart	-0.333710932378006
kidney	-0.215170133129294
liver	-1.04983216214435
stomach	6.47987096064291e-05
testicle	-0.319798913327933

varWeightedLogRatios=0.102919322226521
cont.varWeightedLogRatios=0.164482491774953

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.17254551473618	0.0833043862861615	50.087944954098	7.49412153893522e-250	***
df.mm.trans1	0.119039986880070	0.0723388930886476	1.64558761956991	0.100238081054373	   
df.mm.trans2	0.0184661445982021	0.0642988842118914	0.287192302394370	0.774038805364174	   
df.mm.exp2	-0.323863783184424	0.0835688919708483	-3.87541076047052	0.000115085007219497	***
df.mm.exp3	-0.252709317897802	0.0835688919708483	-3.02396396479633	0.00257389079660826	** 
df.mm.exp4	-0.085363256628375	0.0835688919708483	-1.02147168180897	0.30733712962966	   
df.mm.exp5	0.0115491138901519	0.0835688919708483	0.138198719855956	0.890117842358009	   
df.mm.exp6	0.0694695961394555	0.0835688919708483	0.831285356322409	0.40605833237705	   
df.mm.exp7	0.0971357778187094	0.0835688919708483	1.16234373255294	0.245439492028359	   
df.mm.exp8	0.180909027902101	0.0835688919708483	2.16478911752484	0.0306963468093544	*  
df.mm.trans1:exp2	0.000336196265853102	0.077731133937317	0.00432511721910829	0.996550135412828	   
df.mm.trans2:exp2	0.0936500000774916	0.0594231811476232	1.57598429213744	0.115421333508144	   
df.mm.trans1:exp3	-0.0596999111005204	0.077731133937317	-0.768030878703801	0.442693511824716	   
df.mm.trans2:exp3	0.0707514097796491	0.0594231811476232	1.19063652287284	0.234146411038449	   
df.mm.trans1:exp4	-0.162160278627771	0.077731133937317	-2.08616895719723	0.0372768003804511	*  
df.mm.trans2:exp4	0.00352097982512847	0.0594231811476233	0.0592526309956615	0.952765558969365	   
df.mm.trans1:exp5	-0.109805921919660	0.077731133937317	-1.41263759265636	0.158147840153277	   
df.mm.trans2:exp5	-0.0864015192591665	0.0594231811476232	-1.45400359910927	0.146334096085587	   
df.mm.trans1:exp6	-0.177336633499315	0.077731133937317	-2.28141060752209	0.0227838539181966	*  
df.mm.trans2:exp6	-0.119457593305802	0.0594231811476232	-2.01028607016237	0.0447332155260184	*  
df.mm.trans1:exp7	-0.118927316654127	0.077731133937317	-1.52998304064406	0.126412797884815	   
df.mm.trans2:exp7	0.0344129240235193	0.0594231811476233	0.57911615229801	0.562672408823242	   
df.mm.trans1:exp8	-0.077596838200207	0.077731133937317	-0.998272304412563	0.318446562325005	   
df.mm.trans2:exp8	-0.104502905296835	0.0594231811476233	-1.75862185898836	0.0790207494292317	.  
df.mm.trans1:probe2	0.159753665209293	0.050886972160358	3.13938240824916	0.00175466979989026	** 
df.mm.trans1:probe3	0.133766836788931	0.050886972160358	2.62870497319819	0.00873406089682504	** 
df.mm.trans1:probe4	0.089834051751756	0.050886972160358	1.76536445258849	0.0778806722001603	.  
df.mm.trans1:probe5	0.286719561580926	0.050886972160358	5.63443941363613	2.42666872983287e-08	***
df.mm.trans1:probe6	0.177170842473392	0.050886972160358	3.48165424177884	0.000525104775337807	***
df.mm.trans1:probe7	0.193264199994117	0.050886972160358	3.79791117036973	0.000156870347488568	***
df.mm.trans1:probe8	0.0515563314957461	0.050886972160358	1.01315384482454	0.311290345120021	   
df.mm.trans1:probe9	-0.0501933018954092	0.050886972160358	-0.9863684114912	0.324247994592095	   
df.mm.trans1:probe10	-0.182634960351216	0.050886972160358	-3.58903178156653	0.000351936326173931	***
df.mm.trans1:probe11	0.417929050065504	0.050886972160358	8.2128889246643	8.5434961860094e-16	***
df.mm.trans1:probe12	0.533004349693461	0.050886972160358	10.4742791143837	3.70057773647421e-24	***
df.mm.trans1:probe13	0.493118279555174	0.050886972160358	9.6904621874776	4.41927791396529e-21	***
df.mm.trans1:probe14	0.491454634891871	0.050886972160358	9.65776924874153	5.88463177493646e-21	***
df.mm.trans1:probe15	0.276670285711345	0.050886972160358	5.43695712213895	7.18556027265498e-08	***
df.mm.trans1:probe16	0.662723131785843	0.050886972160358	13.0234341649849	2.49456911229147e-35	***
df.mm.trans1:probe17	0.0598938602466585	0.050886972160358	1.1769979172256	0.239543366470706	   
df.mm.trans1:probe18	0.0973060105924616	0.050886972160358	1.91219886861858	0.0562044864015042	.  
df.mm.trans1:probe19	0.21138222115757	0.050886972160358	4.15395556433286	3.61618695403325e-05	***
df.mm.trans1:probe20	0.244195672561096	0.050886972160358	4.79878566544639	1.90171031601276e-06	***
df.mm.trans1:probe21	0.221390109099344	0.050886972160358	4.35062452530457	1.53158742880417e-05	***
df.mm.trans1:probe22	0.0715285115272566	0.050886972160358	1.40563504745088	0.160217393205846	   
df.mm.trans2:probe2	0.192542292558413	0.050886972160358	3.78372468205933	0.000165925202447697	***
df.mm.trans2:probe3	0.0696985941621566	0.050886972160358	1.36967461814231	0.171169481970131	   
df.mm.trans2:probe4	0.448542606335325	0.050886972160358	8.8144880171265	7.30106033442401e-18	***
df.mm.trans2:probe5	-0.0327832459082001	0.050886972160358	-0.644236520987958	0.519605134559167	   
df.mm.trans2:probe6	0.139965949820380	0.050886972160358	2.75052619321330	0.00608319295467806	** 
df.mm.trans3:probe2	0.423776966298084	0.050886972160358	8.32780863759498	3.51337388699873e-16	***
df.mm.trans3:probe3	0.752875563255	0.050886972160358	14.7950552232209	5.31521755904382e-44	***
df.mm.trans3:probe4	-0.0286823533647633	0.050886972160358	-0.563648260980784	0.573150122101947	   
df.mm.trans3:probe5	0.301331902316913	0.050886972160358	5.92159229610554	4.71502320217304e-09	***
df.mm.trans3:probe6	-0.115149163279326	0.050886972160358	-2.26284171352270	0.0239104495433083	*  
df.mm.trans3:probe7	-0.227201354792461	0.050886972160358	-4.4648236109724	9.15428909203927e-06	***
df.mm.trans3:probe8	0.0751517121500747	0.050886972160358	1.4768359947464	0.140109715537056	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.35804008513267	0.149481588332844	29.1543603044197	3.32748316721697e-128	***
df.mm.trans1	-0.018608841871378	0.129805081331319	-0.143359887613954	0.886041748798348	   
df.mm.trans2	0.0230411010205289	0.115378070333612	0.199700869965205	0.841764841761445	   
df.mm.exp2	0.132896072709894	0.149956217960799	0.886232491837288	0.375756267734427	   
df.mm.exp3	0.134906628117775	0.149956217960799	0.899640107974996	0.368580170310532	   
df.mm.exp4	0.135285298476321	0.149956217960799	0.902165314089787	0.367238238843145	   
df.mm.exp5	0.234768727477528	0.149956217960799	1.56558181227870	0.117838571892423	   
df.mm.exp6	0.279549859064568	0.149956217960799	1.86420985315625	0.0626551333681374	.  
df.mm.exp7	0.124413454451039	0.149956217960799	0.829665192566823	0.406973453910771	   
df.mm.exp8	0.196981144625836	0.149956217960799	1.31359104213558	0.189357186970125	   
df.mm.trans1:exp2	-0.0347225685591911	0.139480931099463	-0.248941330442013	0.803469505953877	   
df.mm.trans2:exp2	-0.167041665721191	0.106629097190920	-1.56656738284206	0.117607860573187	   
df.mm.trans1:exp3	-0.0567290202942568	0.139480931099463	-0.406715239474589	0.684324986711925	   
df.mm.trans2:exp3	-0.122670450902539	0.106629097190920	-1.15044067833471	0.250303194340306	   
df.mm.trans1:exp4	-0.0758902723078826	0.139480931099463	-0.544090663215932	0.58652937322306	   
df.mm.trans2:exp4	-0.0535047999852283	0.106629097190920	-0.501784235211407	0.615956169688669	   
df.mm.trans1:exp5	-0.165440911469434	0.139480931099463	-1.18611849064485	0.235924604811413	   
df.mm.trans2:exp5	-0.170016796128772	0.106629097190920	-1.59446905776907	0.111222557014611	   
df.mm.trans1:exp6	-0.241593987181792	0.139480931099463	-1.73209330678695	0.0836390530717941	.  
df.mm.trans2:exp6	-0.0592387129802109	0.106629097190920	-0.55555860961801	0.578666607776563	   
df.mm.trans1:exp7	-0.041920062034519	0.139480931099463	-0.300543319463691	0.763840166200121	   
df.mm.trans2:exp7	-0.0955614372228997	0.106629097190920	-0.89620412945818	0.370411002118471	   
df.mm.trans1:exp8	-0.157513435828381	0.139480931099463	-1.12928293915718	0.259114061112822	   
df.mm.trans2:exp8	-0.137941114400921	0.106629097190920	-1.29365359020096	0.196155241612439	   
df.mm.trans1:probe2	-0.0810747576983755	0.09131170353803	-0.887890101235589	0.374864419409807	   
df.mm.trans1:probe3	-0.0550525956900614	0.09131170353803	-0.602908428568883	0.546738998554663	   
df.mm.trans1:probe4	-0.0972028216127057	0.09131170353803	-1.06451657176916	0.287413156072740	   
df.mm.trans1:probe5	-0.160206037915526	0.09131170353803	-1.75449621141722	0.0797250199281908	.  
df.mm.trans1:probe6	-0.0534212460649083	0.09131170353803	-0.585042705316072	0.55868254101575	   
df.mm.trans1:probe7	-0.0396828379414307	0.09131170353803	-0.434586547001649	0.663978740011552	   
df.mm.trans1:probe8	-0.0411075848041221	0.09131170353803	-0.450189660375807	0.652694600320124	   
df.mm.trans1:probe9	-0.0237374030431840	0.09131170353803	-0.259960137895113	0.794960830360088	   
df.mm.trans1:probe10	-0.164937577817492	0.09131170353803	-1.80631366436831	0.0712417882340936	.  
df.mm.trans1:probe11	-0.0864122597561579	0.09131170353803	-0.946343747931156	0.34425655312021	   
df.mm.trans1:probe12	-0.130076321916375	0.09131170353803	-1.42453066667626	0.154679494340273	   
df.mm.trans1:probe13	-0.0721895520606892	0.09131170353803	-0.790583783497406	0.429419175800369	   
df.mm.trans1:probe14	-0.0332106702253976	0.09131170353803	-0.363706610857018	0.716172366733695	   
df.mm.trans1:probe15	-0.0258834811671991	0.09131170353803	-0.283462909619456	0.776894712258775	   
df.mm.trans1:probe16	0.00901318779479353	0.09131170353803	0.0987079141617336	0.92139469736919	   
df.mm.trans1:probe17	-0.138789068007401	0.09131170353803	-1.51994829391828	0.128915651158028	   
df.mm.trans1:probe18	-0.0474234621658822	0.09131170353803	-0.519357982913231	0.60365353232788	   
df.mm.trans1:probe19	-0.0138971223695309	0.09131170353803	-0.152194317169244	0.879071716962694	   
df.mm.trans1:probe20	-0.0696716011783136	0.09131170353803	-0.763008447753867	0.445681336828	   
df.mm.trans1:probe21	-0.0250139226103731	0.09131170353803	-0.273939940239481	0.784200877779436	   
df.mm.trans1:probe22	-0.047852685755056	0.09131170353803	-0.524058624479895	0.600381662119864	   
df.mm.trans2:probe2	-0.103096709803161	0.09131170353803	-1.12906348045760	0.259206565917456	   
df.mm.trans2:probe3	-0.0770031713125732	0.09131170353803	-0.843300128340093	0.399310492786476	   
df.mm.trans2:probe4	-0.124291394706830	0.09131170353803	-1.36117704402551	0.173837696917830	   
df.mm.trans2:probe5	-0.132291449085064	0.09131170353803	-1.44878962892163	0.147784779103035	   
df.mm.trans2:probe6	-0.0479651471119551	0.09131170353803	-0.525290244880585	0.599525725696521	   
df.mm.trans3:probe2	0.0786328533944121	0.09131170353803	0.861147589494513	0.389412546512698	   
df.mm.trans3:probe3	0.158570976139786	0.09131170353803	1.73658983455219	0.0828411981965655	.  
df.mm.trans3:probe4	0.0652403717989551	0.09131170353803	0.714479845092184	0.475137128190989	   
df.mm.trans3:probe5	0.0106927805368914	0.09131170353803	0.117101971845679	0.906808383856082	   
df.mm.trans3:probe6	-0.000949471476106653	0.09131170353803	-0.0103981356093221	0.991706207548104	   
df.mm.trans3:probe7	0.0404815543269972	0.09131170353803	0.443333688437181	0.657643216961596	   
df.mm.trans3:probe8	0.0985220655228547	0.09131170353803	1.0789642696987	0.280926036088456