chr19.12078_chr19_10810953_10813283_-_0.R 

fitVsDatCorrelation=0.887378723604762
cont.fitVsDatCorrelation=0.243408615506371

fstatistic=7492.9330947598,47,577
cont.fstatistic=1683.49386908042,47,577

residuals=-0.56981575005608,-0.097225555287352,-0.00216070819925223,0.081218553780225,1.19106274340532
cont.residuals=-0.82897758076109,-0.291029788993630,-0.0614394545799642,0.243420525480012,1.89563633616761

predictedValues:
Include	Exclude	Both
chr19.12078_chr19_10810953_10813283_-_0.R.tl.Lung	92.3307976807565	93.719872119734	53.4635571423699
chr19.12078_chr19_10810953_10813283_-_0.R.tl.cerebhem	123.522560661579	130.733615491273	59.1850581948071
chr19.12078_chr19_10810953_10813283_-_0.R.tl.cortex	93.3824811318106	74.6648979857776	51.1673904224547
chr19.12078_chr19_10810953_10813283_-_0.R.tl.heart	87.8340862709324	79.3644373262503	53.8956443511207
chr19.12078_chr19_10810953_10813283_-_0.R.tl.kidney	99.9924995814857	94.412873021039	53.4777616544557
chr19.12078_chr19_10810953_10813283_-_0.R.tl.liver	105.921593224073	87.2498724295216	53.815093120631
chr19.12078_chr19_10810953_10813283_-_0.R.tl.stomach	118.887464056050	87.394121017768	56.2054670658718
chr19.12078_chr19_10810953_10813283_-_0.R.tl.testicle	104.674964397763	82.8828522676474	55.4678801918564


diffExp=-1.38907443897742,-7.21105482969404,18.7175831460330,8.4696489446821,5.57962656044678,18.6717207945516,31.4933430382824,21.7921121301161
diffExpScore=1.16679990862933
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=0,0,1,0,0,1,1,1
diffExp1.2Score=0.8

cont.predictedValues:
Include	Exclude	Both
Lung	65.4069044742158	71.7907789080448	70.3871646029126
cerebhem	67.8104333359504	78.4130375726776	63.24248909912
cortex	73.209058534803	64.9024192617633	64.8993833956087
heart	77.801732350522	67.9315133476578	71.53737129945
kidney	70.5474695226935	74.251817580064	67.8989061781587
liver	72.0170139893328	64.3643936647482	66.8604086117498
stomach	64.3819103280752	78.6443750683713	71.1061473882595
testicle	79.1355931742864	74.920420169484	71.2380463415423
cont.diffExp=-6.38387443382902,-10.6026042367272,8.3066392730397,9.87021900286429,-3.70434805737048,7.6526203245845,-14.2624647402961,4.21517300480242
cont.diffExpScore=11.0004915820444

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

tran.correlation=0.668139442357237
cont.tran.correlation=-0.428427286485178

tran.covariance=0.0134200921254376
cont.tran.covariance=-0.00260678630503605

tran.mean=97.3105617914664
cont.tran.mean=71.5955544551681

weightedLogRatios:
wLogRatio
Lung	-0.0676866656159806
cerebhem	-0.27488369186388
cortex	0.989812546091371
heart	0.448666449254914
kidney	0.262765797372087
liver	0.885401695074493
stomach	1.42312614861104
testicle	1.05841332130554

cont.weightedLogRatios:
wLogRatio
Lung	-0.393670836873453
cerebhem	-0.62313209679738
cortex	0.509810527678354
heart	0.581499455015646
kidney	-0.219131098566747
liver	0.474164614046734
stomach	-0.853417913636443
testicle	0.237763091939428

varWeightedLogRatios=0.352607351026722
cont.varWeightedLogRatios=0.312684285705008

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	5.27518309304823	0.0878913176596201	60.0193879613641	2.90634355824052e-250	***
df.mm.trans1	-0.73229585609777	0.0696824310382002	-10.5090457549669	9.36178243114746e-24	***
df.mm.trans2	-0.681253673130426	0.0696824310382002	-9.77654859310175	5.43699991385198e-21	***
df.mm.exp2	0.52222872803519	0.0926077612083336	5.63914645188718	2.67792458752720e-08	***
df.mm.exp3	-0.172076346106463	0.0926077612083336	-1.85812013875764	0.063661058659174	.  
df.mm.exp4	-0.224237395372329	0.0926077612083336	-2.42136719910415	0.0157696104795671	*  
df.mm.exp5	0.0868189546567995	0.0926077612083336	0.93749112951223	0.348898217808231	   
df.mm.exp6	0.0592335062414317	0.0926077612083336	0.639617084665053	0.522675434798137	   
df.mm.exp7	0.132903592249470	0.0926077612083336	1.43512369282403	0.151793668205680	   
df.mm.exp8	-0.0342037112686715	0.0926077612083336	-0.369339576104488	0.712010130080075	   
df.mm.trans1:exp2	-0.231182666429831	0.0710269105423296	-3.25486023064531	0.00120090437331473	** 
df.mm.trans2:exp2	-0.189377193818408	0.0710269105423295	-2.66627384427126	0.00788475412561627	** 
df.mm.trans1:exp3	0.183402350365372	0.0710269105423295	2.58215300320673	0.0100639121316674	*  
df.mm.trans2:exp3	-0.0552238278234971	0.0710269105423295	-0.777505700330098	0.437179132954436	   
df.mm.trans1:exp4	0.174309291792598	0.0710269105423295	2.45413027909634	0.0144169687355565	*  
df.mm.trans2:exp4	0.0579775215292115	0.0710269105423295	0.81627542415292	0.414679486012539	   
df.mm.trans1:exp5	-0.00710153086768382	0.0710269105423295	-0.0999836655354954	0.920392022095166	   
df.mm.trans2:exp5	-0.0794517732000063	0.0710269105423295	-1.11861507974018	0.263769868583220	   
df.mm.trans1:exp6	0.0780878724013255	0.0710269105423295	1.09941248753580	0.272046684029852	   
df.mm.trans2:exp6	-0.130767656431646	0.0710269105423295	-1.84110016095537	0.0661200680550419	.  
df.mm.trans1:exp7	0.119896018022292	0.0710269105423295	1.68803650766758	0.0919445945783811	.  
df.mm.trans2:exp7	-0.202785826239173	0.0710269105423295	-2.85505626938848	0.00445764611992838	** 
df.mm.trans1:exp8	0.159685927851265	0.0710269105423295	2.24824544150908	0.0249372199958038	*  
df.mm.trans2:exp8	-0.0886783455319264	0.0710269105423295	-1.24851756686048	0.212347922214521	   
df.mm.trans1:probe2	-0.0497429757978547	0.0514638859893396	-0.966560819137494	0.334168570785563	   
df.mm.trans1:probe3	-0.0200160222615032	0.0514638859893396	-0.388933363206374	0.697468924683562	   
df.mm.trans1:probe4	-0.0777181884001424	0.0514638859893396	-1.51015001891309	0.131552555081098	   
df.mm.trans1:probe5	0.0104833165779502	0.0514638859893396	0.203702390062845	0.838657895091421	   
df.mm.trans1:probe6	-0.213195765110129	0.0514638859893396	-4.14262858335827	3.94743182674233e-05	***
df.mm.trans2:probe2	-0.274635591754986	0.0514638859893396	-5.33647210029719	1.36382373411487e-07	***
df.mm.trans2:probe3	-0.374425607213042	0.0514638859893396	-7.27550203438974	1.13223610213659e-12	***
df.mm.trans2:probe4	-0.313961584271947	0.0514638859893396	-6.10061945840978	1.93763173756150e-09	***
df.mm.trans2:probe5	0.111968234624556	0.0514638859893396	2.17566614864158	0.0299853487238262	*  
df.mm.trans2:probe6	-0.221328866823629	0.0514638859893396	-4.30066370948894	1.99954419476452e-05	***
df.mm.trans3:probe2	-0.0301819579249255	0.0514638859893396	-0.586468692457026	0.557789954104165	   
df.mm.trans3:probe3	0.771677043514463	0.0514638859893396	14.9945350740578	3.68042089734219e-43	***
df.mm.trans3:probe4	0.322662590568146	0.0514638859893396	6.26968959621478	7.09216683474509e-10	***
df.mm.trans3:probe5	0.0386417109451007	0.0514638859893396	0.75085101333205	0.453048421756607	   
df.mm.trans3:probe6	0.0456133692681725	0.0514638859893396	0.886318014881757	0.375815428550612	   
df.mm.trans3:probe7	0.23629444567065	0.0514638859893396	4.59146139332729	5.40636913718604e-06	***
df.mm.trans3:probe8	0.155257553284169	0.0514638859893396	3.01682529990700	0.00266692344693619	** 
df.mm.trans3:probe9	-0.099629277323069	0.0514638859893396	-1.93590661505248	0.0533672442355075	.  
df.mm.trans3:probe10	-0.0537946908789992	0.0514638859893396	-1.04529010673897	0.296326610607388	   
df.mm.trans3:probe11	0.317846298372142	0.0514638859893396	6.17610373297465	1.24055079024402e-09	***
df.mm.trans3:probe12	-0.0514047921216172	0.0514638859893396	-0.998851741049352	0.318285213796109	   
df.mm.trans3:probe13	0.0121686504742443	0.0514638859893396	0.236450284317141	0.813167194401689	   
df.mm.trans3:probe14	-0.0220173808976658	0.0514638859893396	-0.427821966305198	0.668940371080027	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.20227281742756	0.184902957329041	22.7269097159407	3.81750650171931e-82	***
df.mm.trans1	0.00273796501082596	0.14659568107442	0.0186769827784764	0.985105246562742	   
df.mm.trans2	0.0885966041833004	0.14659568107442	0.604360261734614	0.545841707904957	   
df.mm.exp2	0.231356964410897	0.194825261186289	1.18751009495466	0.235515097716802	   
df.mm.exp3	0.0929930000624023	0.194825261186289	0.477314900009213	0.633318645012587	   
df.mm.exp4	0.102070809311235	0.194825261186289	0.523909521228034	0.60054264620066	   
df.mm.exp5	0.145355200572265	0.194825261186289	0.746079844508863	0.455923030847293	   
df.mm.exp6	0.0384830502123625	0.194825261186289	0.197525977781524	0.843485518083926	   
df.mm.exp7	0.0652220716497988	0.194825261186289	0.334772150452474	0.737918630120685	   
df.mm.exp8	0.22118926118376	0.194825261186289	1.13532126089267	0.256712112147597	   
df.mm.trans1:exp2	-0.195268723183366	0.149424154272928	-1.30680828767952	0.191798418157137	   
df.mm.trans2:exp2	-0.143122795652351	0.149424154272928	-0.957829049451622	0.338550122868172	   
df.mm.trans1:exp3	0.0196983378328995	0.149424154272928	0.131828337451520	0.895166026447848	   
df.mm.trans2:exp3	-0.193864140628621	0.149424154272928	-1.29740831776449	0.195009209516759	   
df.mm.trans1:exp4	0.0714650624504755	0.149424154272928	0.478269813861166	0.632639334388753	   
df.mm.trans2:exp4	-0.157326808652388	0.149424154272928	-1.05288739573540	0.292833317617513	   
df.mm.trans1:exp5	-0.0696972166645973	0.149424154272928	-0.466438756195287	0.641077524913067	   
df.mm.trans2:exp5	-0.111648984338394	0.149424154272928	-0.747195022663224	0.45525022096767	   
df.mm.trans1:exp6	0.0577915204044106	0.149424154272928	0.386761569343417	0.69907532417712	   
df.mm.trans2:exp6	-0.147678503750613	0.149424154272928	-0.988317480993555	0.323411441213551	   
df.mm.trans1:exp7	-0.081017199415768	0.149424154272928	-0.542196138301626	0.587892724392396	   
df.mm.trans2:exp7	0.0259579964344188	0.149424154272928	0.173720216525406	0.862146276715341	   
df.mm.trans1:exp8	-0.0306543365914443	0.149424154272928	-0.205149808212755	0.837527433314856	   
df.mm.trans2:exp8	-0.178518815723795	0.149424154272928	-1.19471190312193	0.232690464594815	   
df.mm.trans1:probe2	-0.183345206348719	0.108268085727487	-1.69343722221342	0.0909120035558342	.  
df.mm.trans1:probe3	-0.121398745986104	0.108268085727487	-1.12127913937324	0.262635494812888	   
df.mm.trans1:probe4	-0.124465864447144	0.108268085727487	-1.14960806419379	0.250781610720958	   
df.mm.trans1:probe5	-0.00128437866803931	0.108268085727487	-0.0118629479722411	0.990539059435082	   
df.mm.trans1:probe6	-0.0571649354985208	0.108268085727487	-0.527994331057135	0.597706259877458	   
df.mm.trans2:probe2	-0.0856620964140166	0.108268085727487	-0.791203574335194	0.429150309767199	   
df.mm.trans2:probe3	-0.190342895530089	0.108268085727487	-1.75807020370885	0.079265732085197	.  
df.mm.trans2:probe4	-0.050589184614508	0.108268085727487	-0.467258511818914	0.640491337502732	   
df.mm.trans2:probe5	-0.0495971911733577	0.108268085727487	-0.458096130915209	0.647055847864201	   
df.mm.trans2:probe6	0.033923742356989	0.108268085727487	0.313330951859405	0.754142466407804	   
df.mm.trans3:probe2	0.0149131092195478	0.108268085727487	0.137742429999958	0.890492037554374	   
df.mm.trans3:probe3	-0.0458026678316734	0.108268085727487	-0.423048653016363	0.672417389116136	   
df.mm.trans3:probe4	-0.0308152976214106	0.108268085727487	-0.284620323841076	0.776037158227254	   
df.mm.trans3:probe5	0.00674533320110903	0.108268085727487	0.0623021378440845	0.95034380110575	   
df.mm.trans3:probe6	-0.029201478198362	0.108268085727487	-0.269714551634937	0.787476294092322	   
df.mm.trans3:probe7	-0.0416797512412587	0.108268085727487	-0.384968025999533	0.700402964561721	   
df.mm.trans3:probe8	-0.0460899060113025	0.108268085727487	-0.425701680246863	0.670483975133891	   
df.mm.trans3:probe9	0.00297341043787469	0.108268085727487	0.0274634063943722	0.97809962201955	   
df.mm.trans3:probe10	0.0765592098058998	0.108268085727487	0.707126290184914	0.47977348036482	   
df.mm.trans3:probe11	-0.113584580318702	0.108268085727487	-1.04910490986787	0.294569054632929	   
df.mm.trans3:probe12	-0.225487879040719	0.108268085727487	-2.08268094448698	0.0377201578615494	*  
df.mm.trans3:probe13	-0.0639849254590169	0.108268085727487	-0.590986023527455	0.554761210179374	   
df.mm.trans3:probe14	-0.0588950318034113	0.108268085727487	-0.543974075164232	0.586669438796456