chr13.6542_chr13_97462980_97468086_-_0.R 

fitVsDatCorrelation=0.883982932657096
cont.fitVsDatCorrelation=0.27208320886516

fstatistic=9092.01084678846,37,347
cont.fstatistic=2138.99260158843,37,347

residuals=-0.409785267571091,-0.0840067406603863,-0.00258778588141076,0.0791548197089067,0.506009909327599
cont.residuals=-0.694547838379645,-0.197549014286807,0.0007231610412961,0.206573055215308,0.792283030085099

predictedValues:
Include	Exclude	Both
chr13.6542_chr13_97462980_97468086_-_0.R.tl.Lung	75.834186523036	109.381064455606	63.0287640935158
chr13.6542_chr13_97462980_97468086_-_0.R.tl.cerebhem	67.4903444338812	86.766511182596	55.5085612267422
chr13.6542_chr13_97462980_97468086_-_0.R.tl.cortex	80.4923955060467	114.700066826654	68.2626996023703
chr13.6542_chr13_97462980_97468086_-_0.R.tl.heart	74.8854434774007	110.830867409305	65.2650334477959
chr13.6542_chr13_97462980_97468086_-_0.R.tl.kidney	78.4485712693144	119.613130374823	57.860895049599
chr13.6542_chr13_97462980_97468086_-_0.R.tl.liver	71.9746932864848	120.069699452296	53.9846057970788
chr13.6542_chr13_97462980_97468086_-_0.R.tl.stomach	73.8890720692202	117.603032063562	57.4081291216986
chr13.6542_chr13_97462980_97468086_-_0.R.tl.testicle	78.7747151711993	117.592207726932	59.9076581457094


diffExp=-33.5468779325696,-19.2761667487148,-34.2076713206071,-35.9454239319044,-41.164559105509,-48.095006165811,-43.7139599943421,-38.8174925557330
diffExpScore=0.996618961998385
diffExp1.5=0,0,0,0,-1,-1,-1,0
diffExp1.5Score=0.75
diffExp1.4=-1,0,-1,-1,-1,-1,-1,-1
diffExp1.4Score=0.875
diffExp1.3=-1,0,-1,-1,-1,-1,-1,-1
diffExp1.3Score=0.875
diffExp1.2=-1,-1,-1,-1,-1,-1,-1,-1
diffExp1.2Score=0.888888888888889

cont.predictedValues:
Include	Exclude	Both
Lung	90.7199154614597	86.2478867170186	80.8852309207439
cerebhem	80.461509788796	87.9906883393278	82.8556870513528
cortex	73.0803757039134	84.763102989972	75.8027448485725
heart	83.8567114275793	77.1727469891889	87.9193266970146
kidney	90.6123031117744	82.7354680901316	77.43053996228
liver	78.505459450659	85.9069389209195	76.568214004433
stomach	76.1177824632879	86.1082489689257	79.7045241539336
testicle	77.4658328773916	86.057460313831	67.5628611994752
cont.diffExp=4.47202874444112,-7.52917855053181,-11.6827272860585,6.68396443839039,7.87683502164279,-7.40147947026058,-9.99046650563778,-8.59162743643931
cont.diffExpScore=2.36458169522143

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

tran.correlation=0.680663517730541
cont.tran.correlation=-0.273547378537526

tran.covariance=0.00431119635272207
cont.tran.covariance=-0.00089894354839762

tran.mean=93.6466250767724
cont.tran.mean=82.987651975886

weightedLogRatios:
wLogRatio
Lung	-1.65258184466011
cerebhem	-1.08976275642216
cortex	-1.61681636549012
heart	-1.76890374408086
kidney	-1.92912878547040
liver	-2.31938549527142
stomach	-2.10761274489742
testicle	-1.82964331981530

cont.weightedLogRatios:
wLogRatio
Lung	0.226596508042443
cerebhem	-0.396496716466445
cortex	-0.647436858026573
heart	0.364446043360585
kidney	0.405701375810303
liver	-0.397164582388063
stomach	-0.541875636739073
testicle	-0.463039442801649

varWeightedLogRatios=0.134529155606743
cont.varWeightedLogRatios=0.189767339867257

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	5.0155069607624	0.0808279750167428	62.0516220989514	6.45789558877942e-190	***
df.mm.trans1	-0.77464567407612	0.0673407953597507	-11.5033638961016	3.67468266976726e-26	***
df.mm.trans2	-0.170931600030676	0.0673407953597507	-2.53830681858624	0.0115756140496178	*  
df.mm.exp2	-0.221127786617741	0.092781469566897	-2.38331843254869	0.0176948026529740	*  
df.mm.exp3	0.0273240344420378	0.0927814695668969	0.294498832251593	0.768552853757309	   
df.mm.exp4	-0.0342873645495881	0.0927814695668969	-0.369549703293569	0.711943450691787	   
df.mm.exp5	0.208868324600023	0.0927814695668969	2.25118577637343	0.0249990630469528	*  
df.mm.exp6	0.195892254947048	0.0927814695668969	2.11132951290243	0.035458653498836	*  
df.mm.exp7	0.139898049809197	0.0927814695668969	1.50782317268997	0.132509665505522	   
df.mm.exp8	0.161214703564128	0.0927814695668969	1.73757437036379	0.0831730620789656	.  
df.mm.trans1:exp2	0.104563128327444	0.0784146537644273	1.33346413339492	0.183254212318907	   
df.mm.trans2:exp2	-0.0104892716226871	0.0784146537644273	-0.133766727507321	0.893664583779742	   
df.mm.trans1:exp3	0.0322894792440863	0.0784146537644273	0.411778636950819	0.680755917144779	   
df.mm.trans2:exp3	0.0201587827224034	0.0784146537644273	0.257079279887714	0.797269940922605	   
df.mm.trans1:exp4	0.0216976895761662	0.0784146537644273	0.276704525678966	0.782171742555691	   
df.mm.trans2:exp4	0.047454897199343	0.0784146537644273	0.605178941960346	0.545455671684827	   
df.mm.trans1:exp5	-0.174974258090541	0.0784146537644273	-2.23139744538307	0.0262931060378745	*  
df.mm.trans2:exp5	-0.119443492958766	0.0784146537644273	-1.52322923362765	0.128612156793191	   
df.mm.trans1:exp6	-0.248126880360298	0.0784146537644273	-3.1642922393781	0.00169202734908693	** 
df.mm.trans2:exp6	-0.102657641603544	0.0784146537644273	-1.30916399773883	0.191345051634432	   
df.mm.trans1:exp7	-0.165882307873157	0.0784146537644273	-2.11545036430945	0.0351037120976923	*  
df.mm.trans2:exp7	-0.0674210214155528	0.0784146537644273	-0.859801302166028	0.390492197094327	   
df.mm.trans1:exp8	-0.123171832165963	0.0784146537644273	-1.57077569373697	0.117146121110215	   
df.mm.trans2:exp8	-0.0888297207122841	0.0784146537644273	-1.13282041618325	0.258071801216783	   
df.mm.trans1:probe2	0.223407056627225	0.0429494747057342	5.20162488966129	3.3849905193268e-07	***
df.mm.trans1:probe3	0.109521393361344	0.0429494747057342	2.55000542175948	0.0112013536768548	*  
df.mm.trans1:probe4	0.223944133610614	0.0429494747057342	5.2141297453567	3.17997045067648e-07	***
df.mm.trans1:probe5	0.22979933649056	0.0429494747057342	5.350457440167	1.59686455312729e-07	***
df.mm.trans1:probe6	0.0902072181756823	0.0429494747057342	2.10031016196896	0.0364229257296092	*  
df.mm.trans2:probe2	-0.392597693131884	0.0429494747057342	-9.14091955307355	5.31389279425584e-18	***
df.mm.trans2:probe3	-0.382357629475892	0.0429494747057342	-8.90249839132126	3.09811235051060e-17	***
df.mm.trans2:probe4	-0.52970040945558	0.0429494747057342	-12.3331056569327	3.14400238491858e-29	***
df.mm.trans2:probe5	-0.075691310071155	0.0429494747057342	-1.76233377916143	0.0788932881864337	.  
df.mm.trans2:probe6	-0.117028669263448	0.0429494747057342	-2.72479861663647	0.00676000504714763	** 
df.mm.trans3:probe2	0.305725005255179	0.0429494747057342	7.1182478330605	6.3207032558765e-12	***
df.mm.trans3:probe3	-0.158613009286304	0.0429494747057342	-3.69301395123065	0.000257328586617223	***
df.mm.trans3:probe4	0.147534037835829	0.0429494747057342	3.43506035514170	0.000664218958551993	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.54521177329445	0.166364593689845	27.3207878700930	1.70227097529909e-88	***
df.mm.trans1	-0.0430094018681119	0.138604537061027	-0.310302987045619	0.756516847228421	   
df.mm.trans2	-0.0525856295365921	0.138604537061027	-0.379393277100582	0.704627907815086	   
df.mm.exp2	-0.124061673089553	0.190967935089876	-0.649646617539038	0.516350316454558	   
df.mm.exp3	-0.168685503554542	0.190967935089876	-0.883318466396741	0.377675782381126	   
df.mm.exp4	-0.273234963751994	0.190967935089876	-1.43078974815013	0.153390389872	   
df.mm.exp5	0.000885896276495373	0.190967935089876	0.00463897918819952	0.996301309162357	   
df.mm.exp6	-0.0937204697449342	0.190967935089876	-0.490765476941593	0.62390253702479	   
df.mm.exp7	-0.162410439597844	0.190967935089876	-0.850459212021157	0.395656269552037	   
df.mm.exp8	0.0198225336499091	0.190967935089876	0.103800324596796	0.917387774962979	   
df.mm.trans1:exp2	0.00406369578263256	0.161397362857928	0.0251782043440801	0.979927294767073	   
df.mm.trans2:exp2	0.144067113863581	0.161397362857928	0.892623716475453	0.372677310418984	   
df.mm.trans1:exp3	-0.0475315320706737	0.161397362857928	-0.294500053960075	0.768551921126662	   
df.mm.trans2:exp3	0.151320291636251	0.161397362857928	0.937563594328693	0.349120816966346	   
df.mm.trans1:exp4	0.194567581578832	0.161397362857928	1.20551896346722	0.228824430287683	   
df.mm.trans2:exp4	0.162055786402724	0.161397362857928	1.00407951860636	0.316039941533221	   
df.mm.trans1:exp5	-0.00207280462808664	0.161397362857928	-0.0128428655300350	0.989760538155366	   
df.mm.trans2:exp5	-0.042463063424425	0.161397362857928	-0.263096389386508	0.792632434722119	   
df.mm.trans1:exp6	-0.0508882688596331	0.161397362857928	-0.315298019487642	0.752724917671579	   
df.mm.trans2:exp6	0.0897595207491721	0.161397362857928	0.556139946525545	0.578473619019565	   
df.mm.trans1:exp7	-0.0130845586319007	0.161397362857928	-0.0810704611290243	0.935432655293388	   
df.mm.trans2:exp7	0.160790099502741	0.161397362857928	0.996237464203661	0.319828974262968	   
df.mm.trans1:exp8	-0.177762468715602	0.161397362857928	-1.10139636464866	0.271487572820341	   
df.mm.trans2:exp8	-0.0220328711002306	0.161397362857928	-0.136513203872019	0.891494753035261	   
df.mm.trans1:probe2	0.0235071025272927	0.0884009763591337	0.265914512434725	0.790462970760997	   
df.mm.trans1:probe3	-0.00918229673737928	0.0884009763591337	-0.103870987805335	0.91733173826133	   
df.mm.trans1:probe4	0.0152745033739826	0.0884009763591337	0.172786591314660	0.86291991512861	   
df.mm.trans1:probe5	0.0262044670253315	0.0884009763591337	0.2964273484817	0.767081078314066	   
df.mm.trans1:probe6	-5.84092846968458e-05	0.0884009763591337	-0.000660731217034922	0.9994731924873	   
df.mm.trans2:probe2	-0.00514045035913677	0.0884009763591337	-0.0581492486944196	0.95366321697434	   
df.mm.trans2:probe3	-0.180608864636908	0.0884009763591337	-2.04306413883003	0.0418011696142009	*  
df.mm.trans2:probe4	-0.083777654407921	0.0884009763591337	-0.94770055556366	0.343941425637813	   
df.mm.trans2:probe5	-0.0670307389111595	0.0884009763591337	-0.758257902478854	0.448811278856556	   
df.mm.trans2:probe6	-0.0174481914671977	0.0884009763591337	-0.197375551558543	0.843649223815254	   
df.mm.trans3:probe2	0.00659589088191686	0.0884009763591337	0.0746133261596648	0.940565365305241	   
df.mm.trans3:probe3	-0.106868001503301	0.0884009763591337	-1.20890069210484	0.227524087384901	   
df.mm.trans3:probe4	-0.126069866120587	0.0884009763591337	-1.42611395612218	0.154734465835275