chr14.7334_chr14_26107242_26108441_+_0.R 

fitVsDatCorrelation=0.90831186156172
cont.fitVsDatCorrelation=0.294362755005543

fstatistic=9687.18996496914,39,393
cont.fstatistic=1847.61781101363,39,393

residuals=-0.53119899263933,-0.0902982700943682,-0.00829025605062446,0.090130756734452,0.629937454045176
cont.residuals=-0.61074924265902,-0.242628940169509,-0.0616180598142284,0.229782405624912,0.956374440712478

predictedValues:
Include	Exclude	Both
chr14.7334_chr14_26107242_26108441_+_0.R.tl.Lung	89.6967266891337	52.4946209267434	63.1663268909596
chr14.7334_chr14_26107242_26108441_+_0.R.tl.cerebhem	92.6517851677851	57.9484181084002	63.7042053207028
chr14.7334_chr14_26107242_26108441_+_0.R.tl.cortex	75.3535591662319	50.9279077592576	67.9999944498805
chr14.7334_chr14_26107242_26108441_+_0.R.tl.heart	82.446150110642	52.829472919456	65.0229244901209
chr14.7334_chr14_26107242_26108441_+_0.R.tl.kidney	100.595527150665	51.3846524239429	63.777884947323
chr14.7334_chr14_26107242_26108441_+_0.R.tl.liver	97.4910199629846	50.0496951440786	62.5635296931667
chr14.7334_chr14_26107242_26108441_+_0.R.tl.stomach	72.4467825898995	53.6108872540826	63.4431632223365
chr14.7334_chr14_26107242_26108441_+_0.R.tl.testicle	94.2319917338745	53.0902769115784	63.8478213942093


diffExp=37.2021057623904,34.7033670593849,24.4256514069743,29.616677191186,49.2108747267221,47.441324818906,18.8358953358169,41.1417148222961
diffExpScore=0.996473628520822
diffExp1.5=1,1,0,1,1,1,0,1
diffExp1.5Score=0.857142857142857
diffExp1.4=1,1,1,1,1,1,0,1
diffExp1.4Score=0.875
diffExp1.3=1,1,1,1,1,1,1,1
diffExp1.3Score=0.888888888888889
diffExp1.2=1,1,1,1,1,1,1,1
diffExp1.2Score=0.888888888888889

cont.predictedValues:
Include	Exclude	Both
Lung	76.9332891234806	69.4279398530846	69.2902457045847
cerebhem	65.4753914251545	76.0181950829513	67.6915195041434
cortex	73.7642319066599	67.0534885001388	65.3217665522785
heart	68.1829731847696	65.8037716394705	68.289000761281
kidney	74.3241494859168	61.131838733633	64.1855609500257
liver	73.2418526249001	71.6599735072956	83.1242902116494
stomach	63.4831321305275	81.8421272519758	72.0279074658642
testicle	74.0631420502563	67.9114975557742	71.7396717455183
cont.diffExp=7.505349270396,-10.5428036577968,6.71074340652109,2.37920154529911,13.1923107522838,1.58187911760452,-18.3589951214483,6.1516444944821
cont.diffExpScore=6.90515126273525

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

tran.correlation=-0.0448647778565641
cont.tran.correlation=-0.711218741833483

tran.covariance=-0.0002139062879798
cont.tran.covariance=-0.00438721294737576

tran.mean=70.4530921261722
cont.tran.mean=70.6448121284993

weightedLogRatios:
wLogRatio
Lung	2.26534595450747
cerebhem	2.01524671811616
cortex	1.61660266011052
heart	1.86469415919037
kidney	2.87195955485149
liver	2.83125333816733
stomach	1.24423657342936
testicle	2.44359841862709

cont.weightedLogRatios:
wLogRatio
Lung	0.440531146649227
cerebhem	-0.635462090809367
cortex	0.405682626068984
heart	0.149331969344129
kidney	0.822790562544954
liver	0.0935146203977695
stomach	-1.08663340987261
testicle	0.369531303376754

varWeightedLogRatios=0.327005363689905
cont.varWeightedLogRatios=0.392673261483077

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.33869925459928	0.0748303514094188	57.9804741375727	1.05109940531286e-194	***
df.mm.trans1	0.0474126906129851	0.0610987260754107	0.776001295910266	0.438214957751501	   
df.mm.trans2	-0.393580776645732	0.0610987260754107	-6.44171821454931	3.456095178604e-10	***
df.mm.exp2	0.122777288662841	0.083016821220815	1.47894471093115	0.139956153951874	   
df.mm.exp3	-0.278279030785564	0.0830168212208149	-3.35208005670772	0.000879843485115503	***
df.mm.exp4	-0.106898929324815	0.083016821220815	-1.28767793987771	0.198615837541035	   
df.mm.exp5	0.0836672068694714	0.083016821220815	1.00783438391271	0.314154085399863	   
df.mm.exp6	0.0452205443174327	0.0830168212208149	0.54471544022568	0.586258196711444	   
df.mm.exp7	-0.196913636419874	0.083016821220815	-2.37197273424994	0.0181743241892432	*  
df.mm.exp8	0.0498774545523265	0.0830168212208149	0.600811423743368	0.548311933990861	   
df.mm.trans1:exp2	-0.0903633448900669	0.0677829506862837	-1.33312793224790	0.183262088606273	   
df.mm.trans2:exp2	-0.0239347225852358	0.0677829506862837	-0.353108301466717	0.724196570438479	   
df.mm.trans1:exp3	0.104035913222754	0.0677829506862837	1.53483895536295	0.125628025877030	   
df.mm.trans2:exp3	0.247979384314544	0.0677829506862837	3.65843301012748	0.000288351600618738	***
df.mm.trans1:exp4	0.0226100069765503	0.0677829506862837	0.333564808666932	0.73888587623433	   
df.mm.trans2:exp4	0.113257457723790	0.0677829506862837	1.67088414678159	0.0955406586762259	.  
df.mm.trans1:exp5	0.0310063114457306	0.0677829506862837	0.457435256680334	0.647611000216444	   
df.mm.trans2:exp5	-0.105038375779509	0.0677829506862837	-1.54962825778494	0.122035648323163	   
df.mm.trans1:exp6	0.0381054498619110	0.0677829506862837	0.562168649728344	0.574321608286241	   
df.mm.trans2:exp6	-0.0929148354122766	0.0677829506862837	-1.37077000147588	0.171229009520243	   
df.mm.trans1:exp7	-0.0166683811355428	0.0677829506862837	-0.24590816668174	0.805881697636807	   
df.mm.trans2:exp7	0.217955098472339	0.0677829506862837	3.21548555006243	0.00140995345412723	** 
df.mm.trans1:exp8	-0.000551992255824315	0.0677829506862837	-0.00814352650977194	0.993506609890674	   
df.mm.trans2:exp8	-0.0385943578908804	0.0677829506862837	-0.569381496381069	0.569422554513815	   
df.mm.trans1:probe2	0.358842948529651	0.0415084106104075	8.64506598187304	1.37995604378547e-16	***
df.mm.trans1:probe3	0.246723533162409	0.0415084106104075	5.9439407468073	6.1430720119146e-09	***
df.mm.trans1:probe4	0.320922151147307	0.0415084106104075	7.73149697682816	8.99982428813441e-14	***
df.mm.trans1:probe5	0.180419929911342	0.0415084106104074	4.34658728817011	1.76318457714553e-05	***
df.mm.trans1:probe6	0.216959414369787	0.0415084106104075	5.2268783887232	2.80562015350946e-07	***
df.mm.trans2:probe2	0.0702959044803406	0.0415084106104075	1.69353399579976	0.0911462482907613	.  
df.mm.trans2:probe3	0.0207240207638140	0.0415084106104075	0.499272809029645	0.617866579825462	   
df.mm.trans2:probe4	0.0312819063923878	0.0415084106104075	0.753628142643083	0.451523800286337	   
df.mm.trans2:probe5	0.0412338020934187	0.0415084106104075	0.993384268080842	0.321133952642455	   
df.mm.trans2:probe6	0.0235711005489147	0.0415084106104075	0.567863240299657	0.570452107162402	   
df.mm.trans3:probe2	-0.0755195442371867	0.0415084106104075	-1.81937932883057	0.0696143349806196	.  
df.mm.trans3:probe3	0.598519004725385	0.0415084106104075	14.4192224159823	3.93003217229743e-38	***
df.mm.trans3:probe4	0.163576172494489	0.0415084106104075	3.94079585532181	9.6112264601826e-05	***
df.mm.trans3:probe5	0.150690832961129	0.0415084106104075	3.63036865890851	0.000320440502445008	***
df.mm.trans3:probe6	0.0821746634867704	0.0415084106104075	1.97971115439835	0.0484332643382887	*  

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.31542567292633	0.170968178175168	25.2411046253585	2.98095633977928e-84	***
df.mm.trans1	0.0438733884086896	0.139594932927467	0.314290694430049	0.753467039882903	   
df.mm.trans2	-0.0586523962170667	0.139594932927467	-0.420161355337607	0.674597205910808	   
df.mm.exp2	-0.0472377247074694	0.189672163964071	-0.249049326586570	0.803452731124302	   
df.mm.exp3	-0.0178846316860983	0.189672163964071	-0.0942923374327406	0.924924991585494	   
df.mm.exp4	-0.159800588198491	0.189672163964071	-0.842509437646114	0.400015289320805	   
df.mm.exp5	-0.085233437464376	0.189672163964071	-0.449372410178868	0.653410750721847	   
df.mm.exp6	-0.199561510894792	0.189672163964071	-1.05213915802951	0.293382193156843	   
df.mm.exp7	-0.0664112063040314	0.189672163964071	-0.350136809303296	0.7264236022372	   
df.mm.exp8	-0.0948444528939191	0.189672163964071	-0.500044133581379	0.617323870133762	   
df.mm.trans1:exp2	-0.114026577992502	0.154866673373827	-0.736288676629976	0.461994290135514	   
df.mm.trans2:exp2	0.137921067288709	0.154866673373827	0.890579388606008	0.373699729962134	   
df.mm.trans1:exp3	-0.0241800880198997	0.154866673373827	-0.156134870680229	0.876006882812274	   
df.mm.trans2:exp3	-0.0169141096380429	0.154866673373827	-0.109217233569772	0.913085935716468	   
df.mm.trans1:exp4	0.0390567905160789	0.154866673373827	0.252196225728960	0.801021235839257	   
df.mm.trans2:exp4	0.106188366598307	0.154866673373827	0.685676035295097	0.493321690534939	   
df.mm.trans1:exp5	0.050730691792495	0.154866673373827	0.327576557869478	0.743406276882062	   
df.mm.trans2:exp5	-0.0420231179135183	0.154866673373827	-0.271350297633631	0.786264099760053	   
df.mm.trans1:exp6	0.150389854327767	0.154866673373827	0.9710924310019	0.332099535715619	   
df.mm.trans2:exp6	0.231204475033965	0.154866673373827	1.49292594718471	0.136258919571525	   
df.mm.trans1:exp7	-0.125753230138674	0.154866673373827	-0.812009629955201	0.417277664618247	   
df.mm.trans2:exp7	0.230913942387015	0.154866673373827	1.4910499293132	0.136750576686194	   
df.mm.trans1:exp8	0.0568237819045864	0.154866673373827	0.366920659343031	0.713875681661966	   
df.mm.trans2:exp8	0.0727604258045324	0.154866673373827	0.469826233232884	0.638739754317273	   
df.mm.trans1:probe2	0.0291423283822580	0.0948360819820355	0.307291568495821	0.758784221754637	   
df.mm.trans1:probe3	-0.116858344269936	0.0948360819820355	-1.23221396147589	0.218605863566689	   
df.mm.trans1:probe4	-0.0713256456671723	0.0948360819820355	-0.752093972847626	0.452444745750063	   
df.mm.trans1:probe5	0.0624424688043208	0.0948360819820354	0.658425226973729	0.510650460919813	   
df.mm.trans1:probe6	-0.0997254874993026	0.0948360819820355	-1.05155638460679	0.293649273816061	   
df.mm.trans2:probe2	-0.0463182035384921	0.0948360819820355	-0.488402753155345	0.625536992357292	   
df.mm.trans2:probe3	-0.0642114017680748	0.0948360819820355	-0.677077758022924	0.498754966064495	   
df.mm.trans2:probe4	-0.119209369195727	0.0948360819820355	-1.25700436694874	0.209498594197771	   
df.mm.trans2:probe5	0.0524336673968714	0.0948360819820355	0.552887322008977	0.580654912211866	   
df.mm.trans2:probe6	-0.0205014769553986	0.0948360819820355	-0.216178025567127	0.828961143095967	   
df.mm.trans3:probe2	-0.0123101228766161	0.0948360819820355	-0.129804211849958	0.896787740597615	   
df.mm.trans3:probe3	-0.147060982763198	0.0948360819820355	-1.55068598037459	0.121781844193473	   
df.mm.trans3:probe4	-0.0886937307753124	0.0948360819820355	-0.935231917237085	0.350243089194926	   
df.mm.trans3:probe5	-0.00595887152482567	0.0948360819820355	-0.0628333794510241	0.94993112968183	   
df.mm.trans3:probe6	-0.120031432775410	0.0948360819820355	-1.26567262445687	0.206380130228703