chr6.20063_chr6_109697234_109702336_+_0.R 

fitVsDatCorrelation=0.897230890127159
cont.fitVsDatCorrelation=0.304147455098431

fstatistic=10756.0233918788,43,485
cont.fstatistic=2302.09453889716,43,485

residuals=-0.4781063161447,-0.0762740131030792,-0.00166616996456313,0.071276582789765,0.603221877046216
cont.residuals=-0.625569935188355,-0.175666764739403,-0.0508268016934049,0.108916965381985,1.55913354715786

predictedValues:
Include	Exclude	Both
chr6.20063_chr6_109697234_109702336_+_0.R.tl.Lung	48.2747554515791	43.2112344523475	70.3062012777819
chr6.20063_chr6_109697234_109702336_+_0.R.tl.cerebhem	49.8646711007714	52.1666125950289	58.9663971136855
chr6.20063_chr6_109697234_109702336_+_0.R.tl.cortex	47.2659230989126	44.7850672794632	59.259912748966
chr6.20063_chr6_109697234_109702336_+_0.R.tl.heart	47.3930455427450	44.3114824440314	65.4660593404518
chr6.20063_chr6_109697234_109702336_+_0.R.tl.kidney	49.8554869721656	41.2857200060875	69.16283592906
chr6.20063_chr6_109697234_109702336_+_0.R.tl.liver	53.2504824687455	47.3920567149062	73.821528666488
chr6.20063_chr6_109697234_109702336_+_0.R.tl.stomach	50.564206324345	42.3308710674174	71.0311985834891
chr6.20063_chr6_109697234_109702336_+_0.R.tl.testicle	49.7310556017508	46.323416564875	79.952259126121


diffExp=5.06352099923168,-2.3019414942575,2.48085581944937,3.08156309871369,8.56976696607811,5.85842575383935,8.23333525692767,3.40763903687581
diffExpScore=1.10182426307543
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=0,0,0,0,1,0,0,0
diffExp1.2Score=0.5

cont.predictedValues:
Include	Exclude	Both
Lung	52.8876985666366	60.5596372919842	52.0824779227771
cerebhem	49.7791442783483	54.1211652334048	53.8704597596868
cortex	51.4028874300201	56.3004349053931	57.4040885017408
heart	69.1509702002814	56.8793145107855	57.5002249143706
kidney	58.0975673827083	64.6410392071145	56.157000556472
liver	56.5675515737632	59.6330473120055	59.9038463135015
stomach	54.2765933490545	55.3399727366468	60.0344193992829
testicle	55.4805624451194	56.0389283296659	58.30891717213
cont.diffExp=-7.67193872534756,-4.34202095505650,-4.89754747537301,12.2716556894959,-6.5434718244062,-3.06549573824226,-1.06337938759227,-0.558365884546447
cont.diffExpScore=2.39552601554062

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=0.251953513735794
cont.tran.correlation=0.205347933610816

tran.covariance=0.000713844879064513
cont.tran.covariance=0.00143666488214212

tran.mean=47.3753804803233
cont.tran.mean=56.9472821720583

weightedLogRatios:
wLogRatio
Lung	0.423454220003253
cerebhem	-0.177445353579818
cortex	0.206430835148437
heart	0.257151659466345
kidney	0.719520875117436
liver	0.456503703957446
stomach	0.681474089070395
testicle	0.274781192953829

cont.weightedLogRatios:
wLogRatio
Lung	-0.546694292818097
cerebhem	-0.330286165235271
cortex	-0.36268458180784
heart	0.808520689939511
kidney	-0.439228182168889
liver	-0.214360169178523
stomach	-0.0776832557655189
testicle	-0.0402661474878254

varWeightedLogRatios=0.0822899356775076
cont.varWeightedLogRatios=0.179847373017321

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.44938985023214	0.0685011144216592	50.3552369819766	9.21949643727524e-195	***
df.mm.trans1	0.418305764179567	0.0548387243975723	7.62792659338526	1.27133157818925e-13	***
df.mm.trans2	0.297908280472606	0.0548387243975722	5.43244365628962	8.81112503774343e-08	***
df.mm.exp2	0.396638427408517	0.0734327879564732	5.40138047929791	1.03786762998103e-07	***
df.mm.exp3	0.185582014157736	0.0734327879564731	2.52723639292762	0.0118131164419747	*  
df.mm.exp4	0.0780382357296149	0.0734327879564731	1.06271650445672	0.288439386940589	   
df.mm.exp5	0.00303229809009566	0.0734327879564731	0.0412935171669232	0.967078894506047	   
df.mm.exp6	0.141661820169562	0.0734327879564731	1.92913580039384	0.0542971042136117	.  
df.mm.exp7	0.0154921020115229	0.0734327879564731	0.210969819376948	0.832999433400523	   
df.mm.exp8	-0.0293017800915694	0.0734327879564732	-0.39902856621674	0.690047789093026	   
df.mm.trans1:exp2	-0.364234431935078	0.0576054182657812	-6.32291966451081	5.83003846605011e-10	***
df.mm.trans2:exp2	-0.208296260822440	0.0576054182657812	-3.61591438953534	0.000330618123809609	***
df.mm.trans1:exp3	-0.206701182751696	0.0576054182657812	-3.58822466661058	0.000366761088136627	***
df.mm.trans2:exp3	-0.149807768163445	0.0576054182657812	-2.60058467889702	0.00959055212545773	** 
df.mm.trans1:exp4	-0.0964714988657123	0.0576054182657812	-1.67469487714871	0.0946387464828563	.  
df.mm.trans2:exp4	-0.0528949130906322	0.0576054182657812	-0.918228088312534	0.358955872229241	   
df.mm.trans1:exp5	0.0291874993473745	0.0576054182657812	0.506679757322628	0.612609799757548	   
df.mm.trans2:exp5	-0.0486161386857002	0.0576054182657812	-0.843950797499533	0.399112967114567	   
df.mm.trans1:exp6	-0.0435637177405743	0.0576054182657812	-0.75624340647227	0.449870434831986	   
df.mm.trans2:exp6	-0.0493077035743709	0.0576054182657812	-0.855956003077243	0.392444793251556	   
df.mm.trans1:exp7	0.0308430765073561	0.0576054182657812	0.535419712865405	0.592605080355582	   
df.mm.trans2:exp7	-0.03607598788288	0.0576054182657812	-0.626260323576366	0.531438833117324	   
df.mm.trans1:exp8	0.0590226166864813	0.0576054182657812	1.02460182502558	0.306061862248544	   
df.mm.trans2:exp8	0.098848852463865	0.0576054182657812	1.71596449500278	0.0868071375361579	.  
df.mm.trans1:probe2	-0.0096078159170556	0.0394397337733606	-0.243607524641689	0.80763780602517	   
df.mm.trans1:probe3	0.0282356354290723	0.0394397337733606	0.715918509778176	0.474386208124045	   
df.mm.trans1:probe4	0.0641529840698788	0.0394397337733606	1.62660793905284	0.104469894929434	   
df.mm.trans1:probe5	0.0537203583702824	0.0394397337733606	1.36208724630306	0.173802615809080	   
df.mm.trans1:probe6	0.0109092085073362	0.0394397337733606	0.276604516907382	0.782201633307503	   
df.mm.trans2:probe2	0.0512525901694924	0.0394397337733606	1.2995166362941	0.194384033157484	   
df.mm.trans2:probe3	-0.0163411673399192	0.0394397337733606	-0.414332597522673	0.678813727400355	   
df.mm.trans2:probe4	0.123069788165497	0.0394397337733606	3.12045179799425	0.00191336543168732	** 
df.mm.trans2:probe5	0.104948162998374	0.0394397337733606	2.66097544170697	0.00804978313009016	** 
df.mm.trans2:probe6	0.0379088260660735	0.0394397337733606	0.961183619643976	0.336938797206641	   
df.mm.trans3:probe2	-0.0348748368473318	0.0394397337733606	-0.884256396043115	0.376995956109612	   
df.mm.trans3:probe3	0.0983872559972949	0.0394397337733606	2.49462272140767	0.0129407574179646	*  
df.mm.trans3:probe4	-0.0347706223648876	0.0394397337733606	-0.881614023175106	0.378422269471404	   
df.mm.trans3:probe5	-0.119518409170374	0.0394397337733606	-3.03040608380328	0.00257272189024477	** 
df.mm.trans3:probe6	-0.0776266148501503	0.0394397337733606	-1.96823374357012	0.0496103115479118	*  
df.mm.trans3:probe7	0.0312030316333262	0.0394397337733606	0.791157258125362	0.429238950257892	   
df.mm.trans3:probe8	0.0422099748029271	0.0394397337733606	1.07023985114822	0.285043682137302	   
df.mm.trans3:probe9	0.882436012726357	0.0394397337733606	22.3742892839301	1.05705891300257e-76	***
df.mm.trans3:probe10	0.0851153248191372	0.0394397337733606	2.15811103868627	0.0314093166402242	*  

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.14432920624285	0.147784268066774	28.0431013426293	1.46306802283464e-103	***
df.mm.trans1	-0.182511881959167	0.118309035046126	-1.54267070040771	0.123562887771573	   
df.mm.trans2	-0.0239294580623240	0.118309035046126	-0.202262304421589	0.83979648158462	   
df.mm.exp2	-0.20673164542197	0.158423857945568	-1.30492747811381	0.192536333825620	   
df.mm.exp3	-0.198689737072078	0.158423857945568	-1.25416550037776	0.210385978030234	   
df.mm.exp4	0.106464148464209	0.158423857945568	0.672020930716061	0.501890364480454	   
df.mm.exp5	0.0838511205272108	0.158423857945568	0.529283414850439	0.596851023204041	   
df.mm.exp6	-0.0880660972348992	0.158423857945568	-0.555889108982295	0.578543007728652	   
df.mm.exp7	-0.206300314892805	0.158423857945568	-1.30220484192278	0.193464437183532	   
df.mm.exp8	-0.142646518195325	0.158423857945568	-0.90041058237792	0.368348657612412	   
df.mm.trans1:exp2	0.146156981595397	0.124277898935862	1.17604966648838	0.240151968053394	   
df.mm.trans2:exp2	0.0943283591663163	0.124277898935862	0.759011537642732	0.448214370212085	   
df.mm.trans1:exp3	0.170213313087799	0.124277898935862	1.36961852867857	0.171439801703986	   
df.mm.trans2:exp3	0.125763377095665	0.124277898935862	1.01195287474702	0.312065159719068	   
df.mm.trans1:exp4	0.161657169372037	0.124277898935862	1.30077166379733	0.193954306888709	   
df.mm.trans2:exp4	-0.169161034417167	0.124277898935862	-1.36115138625307	0.174097922722441	   
df.mm.trans1:exp5	0.0101019024165048	0.124277898935862	0.081284785975649	0.935249005037615	   
df.mm.trans2:exp5	-0.0186302494780431	0.124277898935862	-0.149907985551461	0.880899530414122	   
df.mm.trans1:exp6	0.155330853749644	0.124277898935862	1.24986707274323	0.211950876546962	   
df.mm.trans2:exp6	0.0726473828597273	0.124277898935862	0.584555930553829	0.559118160504478	   
df.mm.trans1:exp7	0.232222616638255	0.124277898935862	1.86857533500870	0.0622845375008967	.  
df.mm.trans2:exp7	0.116167176722438	0.124277898935862	0.934737211661347	0.350388895160733	   
df.mm.trans1:exp8	0.190508480841197	0.124277898935862	1.53292325081482	0.125946782953485	   
df.mm.trans2:exp8	0.0650644962933557	0.124277898935862	0.523540362771459	0.60083739786544	   
df.mm.trans1:probe2	-0.0926464664430433	0.0850872608081484	-1.08884062741118	0.276764912675171	   
df.mm.trans1:probe3	0.121776570579385	0.0850872608081484	1.43119627336415	0.153017999095955	   
df.mm.trans1:probe4	-0.00380817035074717	0.0850872608081484	-0.0447560576586628	0.964320171821301	   
df.mm.trans1:probe5	0.143015476554929	0.0850872608081483	1.68080950305117	0.093443767789732	.  
df.mm.trans1:probe6	-0.0666822700965355	0.0850872608081484	-0.783692758036814	0.433602958215284	   
df.mm.trans2:probe2	-0.099181566691655	0.0850872608081484	-1.16564531223171	0.244330804994635	   
df.mm.trans2:probe3	-0.112638295305297	0.0850872608081484	-1.32379740792537	0.186193940086682	   
df.mm.trans2:probe4	-0.06461478382795	0.0850872608081483	-0.759394334877475	0.447985631279887	   
df.mm.trans2:probe5	-0.0254047584137709	0.0850872608081484	-0.298572996386058	0.765393750190505	   
df.mm.trans2:probe6	0.0335013513851624	0.0850872608081484	0.393729344051867	0.693953910365747	   
df.mm.trans3:probe2	0.0542165730065871	0.0850872608081484	0.637187899711952	0.524303115385657	   
df.mm.trans3:probe3	0.00216709393388009	0.0850872608081483	0.0254690762553325	0.97969128968237	   
df.mm.trans3:probe4	-0.0701357765603117	0.0850872608081484	-0.824280578481088	0.410185329551852	   
df.mm.trans3:probe5	0.0728782274121516	0.0850872608081484	0.856511617837537	0.392137831937901	   
df.mm.trans3:probe6	-0.00397023118383077	0.0850872608081484	-0.0466607003930083	0.962802859283154	   
df.mm.trans3:probe7	-0.0454223749789578	0.0850872608081484	-0.533832850505959	0.593701759553315	   
df.mm.trans3:probe8	0.0902015559173519	0.0850872608081483	1.06010647258624	0.289623805055368	   
df.mm.trans3:probe9	0.0302004013850961	0.0850872608081484	0.354934464904104	0.722792977626566	   
df.mm.trans3:probe10	0.0192716281629590	0.0850872608081484	0.226492520500947	0.820913800946827