chr5.18932_chr5_103146886_103171662_+_2.R 

fitVsDatCorrelation=0.907369208283661
cont.fitVsDatCorrelation=0.237751481331713

fstatistic=7679.67624144343,57,807
cont.fstatistic=1426.63951494483,57,807

residuals=-1.04380077120029,-0.100504594977908,-0.00686751818850531,0.0951206246749975,1.17844570397432
cont.residuals=-0.85114615166192,-0.34170030610722,-0.0820746865082911,0.299301802223965,1.84115299586548

predictedValues:
Include	Exclude	Both
chr5.18932_chr5_103146886_103171662_+_2.R.tl.Lung	71.3623408198948	89.1895731659661	103.808512611394
chr5.18932_chr5_103146886_103171662_+_2.R.tl.cerebhem	80.4714920965699	74.4668106748822	72.5523197821983
chr5.18932_chr5_103146886_103171662_+_2.R.tl.cortex	61.4329766004898	83.212043531779	84.2122615835824
chr5.18932_chr5_103146886_103171662_+_2.R.tl.heart	67.2119803502629	84.7143264987281	89.966994103631
chr5.18932_chr5_103146886_103171662_+_2.R.tl.kidney	70.2153111804875	70.6553254036727	86.0134568971044
chr5.18932_chr5_103146886_103171662_+_2.R.tl.liver	72.3895948989259	69.64886418741	85.1329521102953
chr5.18932_chr5_103146886_103171662_+_2.R.tl.stomach	69.4286481390684	64.3923744075013	77.04696141918
chr5.18932_chr5_103146886_103171662_+_2.R.tl.testicle	69.8414755088808	71.5497364864188	84.0644831310926


diffExp=-17.8272323460713,6.00468142168768,-21.7790669312892,-17.5023461484652,-0.440014223185145,2.74073071151589,5.03627373156714,-1.70826097753799
diffExpScore=1.57155971057918
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,-1,0,0,0,0,0
diffExp1.3Score=0.5
diffExp1.2=-1,0,-1,-1,0,0,0,0
diffExp1.2Score=0.75

cont.predictedValues:
Include	Exclude	Both
Lung	68.8692339866594	75.6015891285193	72.345665889947
cerebhem	74.1212246299885	89.393363891809	72.3532479555605
cortex	80.8892600172448	67.2529441045359	80.2575532201618
heart	77.3231711364456	74.8105572085778	77.06842933674
kidney	78.3234618467511	77.746331167868	67.5639065012431
liver	73.7501162698295	69.6395313336437	73.9302883983282
stomach	74.4005401543184	76.1072117692456	72.2456843454565
testicle	80.2536975731849	79.6897464775157	67.4117133580631
cont.diffExp=-6.73235514185994,-15.2721392618206,13.6363159127089,2.51261392786770,0.577130678883137,4.11058493618587,-1.70667161492720,0.563951095669168
cont.diffExpScore=13.6265869106837

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

tran.correlation=-0.287974303368686
cont.tran.correlation=-0.175325560819994

tran.covariance=-0.00251156366719489
cont.tran.covariance=-0.00079630866620975

tran.mean=73.1364296219336
cont.tran.mean=76.1357487935086

weightedLogRatios:
wLogRatio
Lung	-0.976549653429494
cerebhem	0.337272523738501
cortex	-1.29561121585143
heart	-1.00061729523459
kidney	-0.0265794238237945
liver	0.164526423284392
stomach	0.31647768711297
testicle	-0.102901155040368

cont.weightedLogRatios:
wLogRatio
Lung	-0.399078125754971
cerebhem	-0.82419867385122
cortex	0.794009459503501
heart	0.143088815594914
kidney	0.0322247622157265
liver	0.245000426579570
stomach	-0.0979950603724204
testicle	0.0308991230438458

varWeightedLogRatios=0.435878159473123
cont.varWeightedLogRatios=0.222912961551236

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.57711387353495	0.0896295197524218	51.06703557241	5.1900266416617e-255	***
df.mm.trans1	-0.313549219903025	0.0771654499853985	-4.06333689445673	5.3103433860203e-05	***
df.mm.trans2	-0.0561054522372754	0.0685337420317594	-0.818654440483863	0.413225269924815	   
df.mm.exp2	0.297962110735304	0.088331517691936	3.37322530531484	0.000778339985705494	***
df.mm.exp3	-0.00998812823853243	0.088331517691936	-0.113075474072198	0.909998841252013	   
df.mm.exp4	0.0317069175673842	0.088331517691936	0.358953614699171	0.719723681522757	   
df.mm.exp5	-0.0611103343584914	0.088331517691936	-0.691829326103272	0.489243507285527	   
df.mm.exp6	-0.0346716656938437	0.088331517691936	-0.392517490922823	0.694779539362366	   
df.mm.exp7	-0.0551067820873568	0.088331517691936	-0.62386318640586	0.53289373915656	   
df.mm.exp8	-0.0309497528906956	0.088331517691936	-0.350381762924481	0.726143644507788	   
df.mm.trans1:exp2	-0.177829415181015	0.081058559820784	-2.19383881941878	0.0285314778511826	*  
df.mm.trans2:exp2	-0.478372718903984	0.060793919865588	-7.8687592437145	1.15045735415239e-14	***
df.mm.trans1:exp3	-0.139835393302492	0.081058559820784	-1.72511568934434	0.0848894798147346	.  
df.mm.trans2:exp3	-0.0593839204176683	0.060793919865588	-0.976806900245335	0.328957477473567	   
df.mm.trans1:exp4	-0.0916256976094534	0.081058559820784	-1.13036424298720	0.258658611528557	   
df.mm.trans2:exp4	-0.0831863261850942	0.060793919865588	-1.36833299068418	0.171588694700660	   
df.mm.trans1:exp5	0.0449064388891952	0.081058559820784	0.553999959886789	0.579732345578434	   
df.mm.trans2:exp5	-0.17184032208335	0.060793919865588	-2.82660375352139	0.0048207717868434	** 
df.mm.trans1:exp6	0.0489639471884655	0.081058559820784	0.604056466050248	0.545975868858157	   
df.mm.trans2:exp6	-0.212626081639855	0.060793919865588	-3.49748925731321	0.000495336983045975	***
df.mm.trans1:exp7	0.0276360711125026	0.081058559820784	0.340939577184747	0.733237811023327	   
df.mm.trans2:exp7	-0.270662141629985	0.060793919865588	-4.45212518338024	9.69901347969873e-06	***
df.mm.trans1:exp8	0.00940750048430142	0.081058559820784	0.11605807585406	0.907635388357142	   
df.mm.trans2:exp8	-0.189421564038029	0.060793919865588	-3.11579783729737	0.00189940656511930	** 
df.mm.trans1:probe2	0.439521111064098	0.0554970021159067	7.91972708987322	7.87296118393542e-15	***
df.mm.trans1:probe3	-0.433072848863261	0.0554970021159067	-7.80353590917901	1.86377270531035e-14	***
df.mm.trans1:probe4	-0.212095756292592	0.0554970021159067	-3.82175159389016	0.000142694775141617	***
df.mm.trans1:probe5	-0.047089176849026	0.0554970021159067	-0.848499469407	0.396411473263603	   
df.mm.trans1:probe6	-0.369959255535045	0.0554970021159067	-6.66629261815579	4.86105120965376e-11	***
df.mm.trans1:probe7	-0.193681463904391	0.0554970021159067	-3.48994461898831	0.00050931766948143	***
df.mm.trans1:probe8	-0.171533078731278	0.0554970021159067	-3.09085305856751	0.00206438225115627	** 
df.mm.trans1:probe9	0.503359439822513	0.0554970021159067	9.07002938233016	8.90137267885976e-19	***
df.mm.trans1:probe10	0.424110605301361	0.0554970021159067	7.64204532013454	6.06630470117892e-14	***
df.mm.trans1:probe11	0.699386798371058	0.0554970021159067	12.6022446565739	2.2707058937965e-33	***
df.mm.trans1:probe12	0.590849464278884	0.0554970021159067	10.6465113745222	7.38187748005336e-25	***
df.mm.trans1:probe13	0.317047425972571	0.0554970021159067	5.71287481998415	1.56209600657581e-08	***
df.mm.trans1:probe14	0.431848195663545	0.0554970021159067	7.78146889379036	2.19256901048563e-14	***
df.mm.trans1:probe15	-0.392712303875019	0.0554970021159067	-7.07627959893817	3.21697245707912e-12	***
df.mm.trans1:probe16	-0.170626329852541	0.0554970021159067	-3.07451435838253	0.002179472739783	** 
df.mm.trans1:probe17	-0.302671862750459	0.0554970021159067	-5.45384167091264	6.55729703579871e-08	***
df.mm.trans1:probe18	-0.325664396045045	0.0554970021159067	-5.86814392901598	6.43049740532751e-09	***
df.mm.trans1:probe19	-0.361414639161012	0.0554970021159067	-6.51232724978891	1.30030286657e-10	***
df.mm.trans1:probe20	-0.29943281647833	0.0554970021159067	-5.39547732421579	8.98716131225001e-08	***
df.mm.trans2:probe2	-0.0252901008330624	0.0554970021159067	-0.45570210766058	0.648726797550315	   
df.mm.trans2:probe3	0.151792080896266	0.0554970021159067	2.73514018972133	0.00637218360942323	** 
df.mm.trans2:probe4	-0.248710326288353	0.0554970021159067	-4.48150921321689	8.48291357330176e-06	***
df.mm.trans2:probe5	-0.0646475071059747	0.0554970021159067	-1.16488287008651	0.244410628764097	   
df.mm.trans2:probe6	-0.297052647507759	0.0554970021159067	-5.35258908016974	1.13084087414282e-07	***
df.mm.trans3:probe2	0.609450437487685	0.0554970021159067	10.9816821495121	3.03230742019298e-26	***
df.mm.trans3:probe3	0.812300710018039	0.0554970021159067	14.6368394516434	3.36035813913687e-43	***
df.mm.trans3:probe4	0.464368339222713	0.0554970021159067	8.3674490786524	2.57984911448206e-16	***
df.mm.trans3:probe5	-0.0402458873593787	0.0554970021159067	-0.725190295420359	0.46854551950309	   
df.mm.trans3:probe6	-0.0606220984815361	0.0554970021159067	-1.09234906698069	0.275005690911249	   
df.mm.trans3:probe7	-0.284413743295024	0.0554970021159067	-5.12484877473236	3.72891492562385e-07	***
df.mm.trans3:probe8	0.88328241374662	0.0554970021159067	15.9158581557589	8.28180827688268e-50	***
df.mm.trans3:probe9	0.67119688774687	0.0554970021159067	12.0942909014267	4.59181891188640e-31	***
df.mm.trans3:probe10	1.2955706980961	0.0554970021159067	23.3448771771540	1.66499715503195e-92	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.27019072585505	0.207119514625049	20.6170371419875	3.40131022573362e-76	***
df.mm.trans1	-0.02035917842212	0.178317038749584	-0.114174049574203	0.909128221610967	   
df.mm.trans2	0.0715905793626152	0.158370539352051	0.45204480363278	0.651358180795677	   
df.mm.exp2	0.240956725664796	0.204120039033829	1.18046580240396	0.238162823544121	   
df.mm.exp3	-0.05993032726517	0.204120039033829	-0.293603350013262	0.769136505334985	   
df.mm.exp4	0.0420276573676701	0.204120039033829	0.205896773127232	0.836923475443272	   
df.mm.exp5	0.224993344423636	0.204120039033829	1.10225995198025	0.270677290814018	   
df.mm.exp6	-0.0353389473000829	0.204120039033829	-0.173128260543915	0.862594024980823	   
df.mm.exp7	0.0853023328047209	0.204120039033829	0.417902785089041	0.676129365907739	   
df.mm.exp8	0.276283667593038	0.204120039033829	1.35353524769437	0.176263676796767	   
df.mm.trans1:exp2	-0.167464349019598	0.187313394210534	-0.894032963982132	0.371570801318102	   
df.mm.trans2:exp2	-0.0733875788216495	0.140485045657901	-0.522387122970781	0.601544186277716	   
df.mm.trans1:exp3	0.220801839343878	0.187313394210534	1.17878297104426	0.23883204350362	   
df.mm.trans2:exp3	-0.057086179888097	0.140485045657901	-0.406350580738032	0.684592757774588	   
df.mm.trans1:exp4	0.0737564623808891	0.187313394210534	0.393759681157607	0.693862488537089	   
df.mm.trans2:exp4	-0.0525459463773962	0.140485045657901	-0.37403231163374	0.708478525832916	   
df.mm.trans1:exp5	-0.0963556927628032	0.187313394210534	-0.514408983772417	0.607106920431607	   
df.mm.trans2:exp5	-0.197019285212273	0.140485045657901	-1.40242176161611	0.161173895049564	   
df.mm.trans1:exp6	0.103811972162318	0.187313394210534	0.554215423834755	0.579584965651335	   
df.mm.trans2:exp6	-0.0468059708499387	0.140485045657901	-0.333174044473867	0.739089449217365	   
df.mm.trans1:exp7	-0.00804867774985403	0.187313394210534	-0.0429690454533517	0.965736838266229	   
df.mm.trans2:exp7	-0.0786366086030956	0.140485045657901	-0.559750742399912	0.575804793118893	   
df.mm.trans1:exp8	-0.12330037786256	0.187313394210534	-0.658257133090943	0.510560655967378	   
df.mm.trans2:exp8	-0.223620044730335	0.140485045657901	-1.59177116456138	0.111827740235962	   
df.mm.trans1:probe2	0.00237224816842766	0.128244714164959	0.0184978241315761	0.985246285654062	   
df.mm.trans1:probe3	-0.135518326800272	0.128244714164959	-1.05671666612284	0.290957142409626	   
df.mm.trans1:probe4	0.00846411910451877	0.128244714164959	0.0659997502402439	0.947394370736322	   
df.mm.trans1:probe5	-0.0978679469923924	0.128244714164959	-0.763134353175028	0.445606295783623	   
df.mm.trans1:probe6	-0.0110522394435636	0.128244714164959	-0.0861808575544664	0.931344024728083	   
df.mm.trans1:probe7	0.0419076565723522	0.128244714164959	0.326778821608562	0.743919913627669	   
df.mm.trans1:probe8	0.187346650557958	0.128244714164959	1.46085280612016	0.144445060560980	   
df.mm.trans1:probe9	-0.037450878686793	0.128244714164959	-0.292026684535478	0.770341276642799	   
df.mm.trans1:probe10	-0.00103466399183309	0.128244714164959	-0.00806788801059058	0.993564820495858	   
df.mm.trans1:probe11	-0.112744174155579	0.128244714164959	-0.879133108055884	0.379590799607019	   
df.mm.trans1:probe12	-0.155214197632919	0.128244714164959	-1.21029703753146	0.226519304334153	   
df.mm.trans1:probe13	-0.0867783279965216	0.128244714164959	-0.676662025110056	0.498814313464487	   
df.mm.trans1:probe14	-0.201014866956000	0.128244714164959	-1.56743198551979	0.117405759086689	   
df.mm.trans1:probe15	0.203869702882348	0.128244714164959	1.58969283225283	0.112295717719624	   
df.mm.trans1:probe16	0.0535687466192168	0.128244714164959	0.417707247959649	0.6762722837475	   
df.mm.trans1:probe17	-0.102073292825269	0.128244714164959	-0.795925925601688	0.426309148877183	   
df.mm.trans1:probe18	-0.0724394567928842	0.128244714164959	-0.564853352939806	0.572330490757227	   
df.mm.trans1:probe19	-0.125090843000972	0.128244714164959	-0.975407398390471	0.329650504455620	   
df.mm.trans1:probe20	0.112090075277651	0.128244714164959	0.874032711659921	0.382360460828242	   
df.mm.trans2:probe2	-0.134943129779635	0.128244714164959	-1.05223151424440	0.293008306995917	   
df.mm.trans2:probe3	0.000384645730779268	0.128244714164959	0.00299931060148416	0.997607641210287	   
df.mm.trans2:probe4	-0.104929611078591	0.128244714164959	-0.818198330916167	0.413485468507735	   
df.mm.trans2:probe5	0.00066237538576527	0.128244714164959	0.005164933230022	0.995880274308299	   
df.mm.trans2:probe6	-0.0220383128117462	0.128244714164959	-0.171845779026796	0.863601857125667	   
df.mm.trans3:probe2	-0.0624052996551122	0.128244714164959	-0.486611086167975	0.626666090368363	   
df.mm.trans3:probe3	-0.0172884254033580	0.128244714164959	-0.134808093385590	0.892797221392672	   
df.mm.trans3:probe4	-0.0991390051782932	0.128244714164959	-0.773045546740993	0.439721787052516	   
df.mm.trans3:probe5	-0.0637000885763996	0.128244714164959	-0.496707322334262	0.619530733261337	   
df.mm.trans3:probe6	-0.138969874486246	0.128244714164959	-1.08363042789812	0.278852340530904	   
df.mm.trans3:probe7	-0.0697079793150359	0.128244714164959	-0.54355440509908	0.586898258933435	   
df.mm.trans3:probe8	0.011363142891542	0.128244714164959	0.088605155896919	0.929417693509087	   
df.mm.trans3:probe9	0.0191822407886894	0.128244714164959	0.149575293715541	0.88113707385807	   
df.mm.trans3:probe10	0.0209994861178955	0.128244714164959	0.163745431962866	0.869972549936232