chr15.8142_chr15_102073546_102076694_+_0.R 

fitVsDatCorrelation=0.687513690685145
cont.fitVsDatCorrelation=0.311217183146426

fstatistic=5236.99821748001,40,416
cont.fstatistic=3053.43509826786,40,416

residuals=-0.480272074386977,-0.101527773566486,-0.00133162329452496,0.0724432019201075,1.78608659367671
cont.residuals=-0.583900730751498,-0.145241258815096,-0.0183635060023832,0.0895835833758005,2.03110133118939

predictedValues:
Include	Exclude	Both
chr15.8142_chr15_102073546_102076694_+_0.R.tl.Lung	58.8027443985179	56.6637673632204	60.6538157552781
chr15.8142_chr15_102073546_102076694_+_0.R.tl.cerebhem	62.1603107569826	79.438647573684	71.398829604824
chr15.8142_chr15_102073546_102076694_+_0.R.tl.cortex	57.1667068102826	54.0636127270506	56.2101933012817
chr15.8142_chr15_102073546_102076694_+_0.R.tl.heart	56.0184394987627	51.9311066388679	57.9446313105611
chr15.8142_chr15_102073546_102076694_+_0.R.tl.kidney	58.9720832619471	58.613067862682	63.931509419072
chr15.8142_chr15_102073546_102076694_+_0.R.tl.liver	56.7258657906681	54.9808202507276	64.5310845151809
chr15.8142_chr15_102073546_102076694_+_0.R.tl.stomach	79.4842616764476	59.5474360525731	62.957876865333
chr15.8142_chr15_102073546_102076694_+_0.R.tl.testicle	61.7851320919461	55.5014493298462	63.5296994603036


diffExp=2.13897703529754,-17.2783368167013,3.10309408323195,4.08733285989478,0.359015399265104,1.74504553994053,19.9368256238746,6.28368276209985
diffExpScore=2.56985611417761
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=0,0,0,0,0,0,1,0
diffExp1.3Score=0.5
diffExp1.2=0,-1,0,0,0,0,1,0
diffExp1.2Score=2

cont.predictedValues:
Include	Exclude	Both
Lung	66.5647594765307	68.6997046503763	59.7665853107335
cerebhem	81.2596551254031	61.3595730700766	60.0211917433407
cortex	62.3423601271536	63.7063740925933	62.770220762949
heart	64.3919146029383	58.0695870985856	59.1704366918145
kidney	67.455001976142	61.0160086406375	63.5604510366053
liver	62.810974292641	57.5586028447258	59.560887949653
stomach	68.6269301042173	65.9242270087378	64.9895208862201
testicle	68.7555326911069	66.2388842950373	60.7825931221587
cont.diffExp=-2.13494517384562,19.9000820553265,-1.36401396543978,6.32232750435267,6.43899333550449,5.25237144791523,2.70270309547946,2.51664839606958
cont.diffExpScore=1.14760775884830

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

tran.correlation=0.234516615533261
cont.tran.correlation=0.102135538488785

tran.covariance=0.00438201897179424
cont.tran.covariance=0.000726545229583347

tran.mean=60.1159657552629
cont.tran.mean=65.2987556310564

weightedLogRatios:
wLogRatio
Lung	0.150276642770518
cerebhem	-1.04296682039461
cortex	0.224249552110131
heart	0.302127431546537
kidney	0.0248779235820933
liver	0.125689953920445
stomach	1.22190068201730
testicle	0.436526088657073

cont.weightedLogRatios:
wLogRatio
Lung	-0.133033033025275
cerebhem	1.19584098826939
cortex	-0.0896789942156354
heart	0.425094686746988
kidney	0.417480073881873
liver	0.357728868570335
stomach	0.169097234803812
testicle	0.15706028680938

varWeightedLogRatios=0.384539808631685
cont.varWeightedLogRatios=0.173001256415921

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.52116101466848	0.0992396546945394	35.4813912392848	6.82247204745621e-128	***
df.mm.trans1	0.509714611335894	0.0804939890853716	6.33233135949186	6.26824192251552e-10	***
df.mm.trans2	0.475290160534982	0.0804939890853716	5.9046664966609	7.34613612136538e-09	***
df.mm.exp2	0.230279260930382	0.108847739768916	2.11560902798041	0.0349717860657891	*  
df.mm.exp3	0.00089396855819691	0.108847739768916	0.00821301903093997	0.993450969658723	   
df.mm.exp4	-0.09003000328039	0.108847739768916	-0.827118720806915	0.408643958617392	   
df.mm.exp5	-0.0159314677233699	0.108847739768916	-0.146364708694847	0.883704385234473	   
df.mm.exp6	-0.128073305375643	0.108847739768916	-1.17662806455644	0.240016818821811	   
df.mm.exp7	0.313725431256725	0.108847739768916	2.882241118858	0.00415319804945071	** 
df.mm.exp8	-0.0175765780421181	0.108847739768916	-0.161478576215117	0.871794878084018	   
df.mm.trans1:exp2	-0.174751082835121	0.0877558533336728	-1.99133250030249	0.0470978941646604	*  
df.mm.trans2:exp2	0.107570751266407	0.0877558533336729	1.22579574102472	0.220969025988855	   
df.mm.trans1:exp3	-0.0291108156594638	0.0877558533336728	-0.331725059396051	0.74026393413757	   
df.mm.trans2:exp3	-0.0478675847382032	0.0877558533336729	-0.54546315624323	0.58572735692685	   
df.mm.trans1:exp4	0.041522389319871	0.0877558533336728	0.473158060032657	0.636348592280148	   
df.mm.trans2:exp4	0.00281298821830601	0.0877558533336729	0.0320547075943781	0.974443796353919	   
df.mm.trans1:exp5	0.0188071073398457	0.0877558533336728	0.214311713981468	0.830408992754707	   
df.mm.trans2:exp5	0.0497541576201965	0.0877558533336729	0.566961128290975	0.571046376251688	   
df.mm.trans1:exp6	0.0921150716124702	0.0877558533336729	1.04967438766987	0.294477254739007	   
df.mm.trans2:exp6	0.0979227241814093	0.0877558533336729	1.11585404803802	0.265128756910134	   
df.mm.trans1:exp7	-0.0123549227879442	0.0877558533336728	-0.140787449709676	0.88810600359638	   
df.mm.trans2:exp7	-0.264087174649491	0.0877558533336729	-3.00933971487185	0.00277740513228745	** 
df.mm.trans1:exp8	0.0670508052654399	0.0877558533336728	0.76406077450462	0.445264169876989	   
df.mm.trans2:exp8	-0.00314927038993173	0.0877558533336729	-0.0358867274409298	0.97138989250689	   
df.mm.trans1:probe2	0.085168793653384	0.0557678715199033	1.52720179795615	0.127470778210013	   
df.mm.trans1:probe3	0.123214515671840	0.0557678715199033	2.20941757886287	0.0276897111228268	*  
df.mm.trans1:probe4	0.0764441739235391	0.0557678715199033	1.37075652773042	0.171189979310724	   
df.mm.trans1:probe5	0.208873723933009	0.0557678715199033	3.74541323239246	0.000205484482069465	***
df.mm.trans1:probe6	0.0693665091360934	0.0557678715199033	1.24384358315230	0.21425757153549	   
df.mm.trans2:probe2	0.00931856433953585	0.0557678715199033	0.167095571080028	0.867376043108176	   
df.mm.trans2:probe3	0.0269598177422241	0.0557678715199033	0.483429204082179	0.629045361162187	   
df.mm.trans2:probe4	0.192000172262610	0.0557678715199033	3.44284562114023	0.000633982421197316	***
df.mm.trans2:probe5	0.00956807203192625	0.0557678715199033	0.171569611160638	0.863859325823787	   
df.mm.trans2:probe6	0.29104287361056	0.0557678715199033	5.21882699981992	2.84798715888082e-07	***
df.mm.trans3:probe2	-0.288247620794832	0.0557678715199033	-5.16870400355798	3.66761453786684e-07	***
df.mm.trans3:probe3	-0.357122776976715	0.0557678715199033	-6.40373690520462	4.10189216522425e-10	***
df.mm.trans3:probe4	-0.519793105391384	0.0557678715199033	-9.3206552666417	6.86068511877781e-19	***
df.mm.trans3:probe5	-0.419416765747514	0.0557678715199033	-7.52075979083809	3.3867507685815e-13	***
df.mm.trans3:probe6	-0.652838016396512	0.0557678715199033	-11.7063462994731	1.48005989268800e-27	***
df.mm.trans3:probe7	-0.569464386146969	0.0557678715199033	-10.2113344229702	5.40387051842199e-22	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.3728912414583	0.129874701587422	33.6700772976543	7.26177168337754e-121	***
df.mm.trans1	-0.123986527608893	0.105342293302227	-1.17698716937153	0.239873614535518	   
df.mm.trans2	-0.148475254159543	0.105342293302227	-1.40945530522644	0.159447690414009	   
df.mm.exp2	0.0822296802262707	0.142448779819578	0.577257877044793	0.564077532161528	   
df.mm.exp3	-0.190028484837708	0.142448779819578	-1.33401272428163	0.182929523066008	   
df.mm.exp4	-0.191265362314183	0.142448779819578	-1.34269568722481	0.180102706040548	   
df.mm.exp5	-0.166867903112497	0.142448779819578	-1.17142388530002	0.242098939460703	   
df.mm.exp6	-0.231539169300807	0.142448779819578	-1.62542051672236	0.104830295724526	   
df.mm.exp7	-0.0945084779883775	0.142448779819578	-0.663455861875964	0.507406124783324	   
df.mm.exp8	-0.0209520451661209	0.142448779819578	-0.147084764029978	0.88313637123897	   
df.mm.trans1:exp2	0.117244665721295	0.114845877883607	1.02088701729565	0.30790128819181	   
df.mm.trans2:exp2	-0.195223381078221	0.114845877883607	-1.69987277450284	0.0899023435160736	.  
df.mm.trans1:exp3	0.124494316898710	0.114845877883607	1.08401206201656	0.278987302448396	   
df.mm.trans2:exp3	0.114568206559764	0.114845877883607	0.997582226467685	0.319061887250776	   
df.mm.trans1:exp4	0.158078137383726	0.114845877883607	1.37643718953443	0.169426722167138	   
df.mm.trans2:exp4	0.0231625311665859	0.114845877883607	0.201683609315613	0.84026266094341	   
df.mm.trans1:exp5	0.18015334078405	0.114845877883607	1.56865308623990	0.117489090168109	   
df.mm.trans2:exp5	0.0482592694891717	0.114845877883607	0.42020898249462	0.674549752365956	   
df.mm.trans1:exp6	0.173493676875863	0.114845877883607	1.51066525044716	0.131632953094150	   
df.mm.trans2:exp6	0.0545978779032558	0.114845877883607	0.475401284829651	0.634750498550433	   
df.mm.trans1:exp7	0.125018202287841	0.114845877883607	1.08857370061244	0.276972154572373	   
df.mm.trans2:exp7	0.0532695847480432	0.114845877883607	0.463835409069105	0.643008279324369	   
df.mm.trans1:exp8	0.0533339534668959	0.114845877883607	0.464395888208965	0.642607076507878	   
df.mm.trans2:exp8	-0.0155251883686501	0.114845877883607	-0.135182808950135	0.89253272290441	   
df.mm.trans1:probe2	-0.144249577604901	0.0729832816741117	-1.97647425952989	0.0487611809325656	*  
df.mm.trans1:probe3	-0.176085865302580	0.0729832816741117	-2.41268769043364	0.0162670522627612	*  
df.mm.trans1:probe4	-0.167090264566624	0.0729832816741117	-2.28943205531266	0.0225543900026353	*  
df.mm.trans1:probe5	-0.0918424196178784	0.0729832816741117	-1.25840353449681	0.208951650995019	   
df.mm.trans1:probe6	-0.080214246256117	0.0729832816741117	-1.09907699977501	0.272370141978218	   
df.mm.trans2:probe2	0.00198749827440251	0.0729832816741117	0.0272322404366136	0.978287559789174	   
df.mm.trans2:probe3	-0.0197693341102790	0.0729832816741117	-0.270874831287443	0.786621652491511	   
df.mm.trans2:probe4	0.084787235115346	0.0729832816741117	1.16173503260571	0.246009219071233	   
df.mm.trans2:probe5	0.0367216436831136	0.0729832816741117	0.503151445656895	0.615124090233643	   
df.mm.trans2:probe6	-0.0344511765736626	0.0729832816741117	-0.472042031865538	0.637144294656229	   
df.mm.trans3:probe2	-0.0228001442823509	0.0729832816741117	-0.312402289392235	0.75489134497635	   
df.mm.trans3:probe3	-0.0717373718270051	0.0729832816741117	-0.982928832212973	0.326213774636598	   
df.mm.trans3:probe4	0.0191422580582921	0.0729832816741117	0.262282780647861	0.793233266189985	   
df.mm.trans3:probe5	0.0880490308922322	0.0729832816741117	1.20642740189997	0.228338366552805	   
df.mm.trans3:probe6	-0.0471686471694258	0.0729832816741117	-0.64629386466952	0.518445438692582	   
df.mm.trans3:probe7	-0.0353642284875544	0.0729832816741117	-0.484552457444491	0.62824886674435