chr19.12065_chr19_33637016_33638678_+_2.R 

fitVsDatCorrelation=0.593745251159154
cont.fitVsDatCorrelation=0.266661862937844

fstatistic=12955.0107364753,52,692
cont.fstatistic=9026.0184111374,52,692

residuals=-0.486468081840716,-0.0765621532904414,-0.00157320399609539,0.0694591983726119,0.777975913257256
cont.residuals=-0.423489880996288,-0.0966026917868294,-0.0122120078888999,0.0815194574405065,0.867384869518269

predictedValues:
Include	Exclude	Both
chr19.12065_chr19_33637016_33638678_+_2.R.tl.Lung	45.6821518857497	43.4957920496474	46.791118672381
chr19.12065_chr19_33637016_33638678_+_2.R.tl.cerebhem	53.9730006690498	48.257131951115	53.0787685497508
chr19.12065_chr19_33637016_33638678_+_2.R.tl.cortex	45.8198531452989	45.6365506232911	46.9309776979992
chr19.12065_chr19_33637016_33638678_+_2.R.tl.heart	46.8954784834446	48.2130529979812	47.6077807550260
chr19.12065_chr19_33637016_33638678_+_2.R.tl.kidney	46.1120428307286	42.8938245707120	48.2527009131586
chr19.12065_chr19_33637016_33638678_+_2.R.tl.liver	49.2799800410853	50.0180404036903	46.4592513511157
chr19.12065_chr19_33637016_33638678_+_2.R.tl.stomach	47.7232213761559	46.4519445696942	51.3277186376673
chr19.12065_chr19_33637016_33638678_+_2.R.tl.testicle	48.6282874860002	47.7534727894682	65.6650534618717


diffExp=2.18635983610237,5.71586871793482,0.183302522007779,-1.31757451453667,3.21821826001663,-0.738060362605005,1.27127680646167,0.874814696531999
diffExpScore=1.25102614591399
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=0,0,0,0,0,0,0,0
diffExp1.2Score=0

cont.predictedValues:
Include	Exclude	Both
Lung	48.0851956246319	45.610915323274	44.9355188645572
cerebhem	49.9127001415106	47.8735976949928	49.8333313621846
cortex	48.2447162634383	46.8358663043702	49.4091423963348
heart	47.5805133458212	48.8103480724881	49.5705708194357
kidney	49.0840461106876	46.1422834561924	52.2982449132294
liver	49.1144570658996	49.6518579646592	46.2249685992494
stomach	47.8082340182876	46.9069858380363	47.5059008935863
testicle	50.0827085916854	47.8776037907671	49.0936910108434
cont.diffExp=2.47428030135792,2.03910244651784,1.40884995906811,-1.22983472666689,2.94176265449514,-0.537400898759564,0.90124818025133,2.20510480091828
cont.diffExpScore=1.2262292020829

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=0.623105403489647
cont.tran.correlation=0.209068128618081

tran.covariance=0.00188587645438485
cont.tran.covariance=0.000116417610555912

tran.mean=47.3021141170695
cont.tran.mean=48.1013768504214

weightedLogRatios:
wLogRatio
Lung	0.186227186454794
cerebhem	0.440206790552074
cortex	0.0153234520788987
heart	-0.107004124157292
kidney	0.274546980290129
liver	-0.0580503516629932
stomach	0.104000916005152
testicle	0.070347595647763

cont.weightedLogRatios:
wLogRatio
Lung	0.203203367994687
cerebhem	0.162232858507058
cortex	0.114442440324174
heart	-0.0988909729155184
kidney	0.238727315818526
liver	-0.0424368639350546
stomach	0.0734165860321885
testicle	0.175211146307163

varWeightedLogRatios=0.0325095109185303
cont.varWeightedLogRatios=0.0143004429295516

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.6384601029562	0.0687904161646058	52.891962366529	2.55647524538985e-245	***
df.mm.trans1	0.0559005440885678	0.0617838535588956	0.90477593851087	0.365898984886653	   
df.mm.trans2	0.124458493430487	0.0568186443641833	2.19045165232667	0.0288244215114781	*  
df.mm.exp2	0.144572095897924	0.0778274716010198	1.85759723300621	0.0636508144681461	.  
df.mm.exp3	0.0480699954532961	0.0778274716010199	0.617648170555064	0.537010479526645	   
df.mm.exp4	0.111876389526714	0.0778274716010199	1.43749227907909	0.151030180751522	   
df.mm.exp5	-0.03532824690115	0.0778274716010199	-0.453930291893062	0.650021328726527	   
df.mm.exp6	0.222647591228445	0.0778274716010199	2.86078407339044	0.00435340037194789	** 
df.mm.exp7	0.0169270402270428	0.0778274716010199	0.217494412690403	0.82788717314507	   
df.mm.exp8	-0.182988129758031	0.0778274716010199	-2.35120229391639	0.0189924183740299	*  
df.mm.trans1:exp2	0.0222041659508124	0.074514131038953	0.297985974488583	0.765803312178526	   
df.mm.trans2:exp2	-0.0406926655024628	0.0648562263341832	-0.627428819135832	0.530585149829032	   
df.mm.trans1:exp3	-0.0450601955378908	0.074514131038953	-0.604720137101714	0.545563193323809	   
df.mm.trans2:exp3	-2.52501699095113e-05	0.0648562263341832	-0.000389325302082877	0.999689475528	   
df.mm.trans1:exp4	-0.0856627983943181	0.074514131038953	-1.14961816235282	0.250698333369600	   
df.mm.trans2:exp4	-0.00891079497026419	0.0648562263341832	-0.137393053434064	0.890760086714964	   
df.mm.trans1:exp5	0.0446947234892343	0.074514131038953	0.599815402341197	0.548825615831695	   
df.mm.trans2:exp5	0.0213919141480675	0.0648562263341832	0.329835936458003	0.741623750949159	   
df.mm.trans1:exp6	-0.146837349083572	0.074514131038953	-1.97059734893522	0.0491681464405751	*  
df.mm.trans2:exp6	-0.0829280417267644	0.0648562263341832	-1.27864426307295	0.201451008204069	   
df.mm.trans1:exp7	0.0267833884413991	0.074514131038953	0.359440391613744	0.719375317795588	   
df.mm.trans2:exp7	0.0488270889497041	0.0648562263341832	0.752851217369847	0.45179535527231	   
df.mm.trans1:exp8	0.245485866307977	0.074514131038953	3.29448740641754	0.00103625424755783	** 
df.mm.trans2:exp8	0.276375723690734	0.0648562263341832	4.26135992351234	2.31346280328389e-05	***
df.mm.trans1:probe2	0.149580103188267	0.0372570655194765	4.01481171699023	6.59942570164557e-05	***
df.mm.trans1:probe3	0.0697625876329402	0.0372570655194765	1.87246597820408	0.0615636436836283	.  
df.mm.trans1:probe4	0.0443093693600104	0.0372570655194765	1.18928768925312	0.234734391460644	   
df.mm.trans1:probe5	0.212249591800947	0.0372570655194765	5.69689504102226	1.80504491854636e-08	***
df.mm.trans1:probe6	0.0315599200495118	0.0372570655194765	0.847085502024133	0.397240324333157	   
df.mm.trans1:probe7	0.052071007879168	0.0372570655194765	1.39761430894087	0.162676799156362	   
df.mm.trans1:probe8	0.283579908855813	0.0372570655194765	7.61143973369478	8.89874913505852e-14	***
df.mm.trans1:probe9	0.214513166482474	0.0372570655194765	5.75765062254661	1.28249297237568e-08	***
df.mm.trans1:probe10	0.0901524796436835	0.0372570655194765	2.41974182310615	0.0157882044394673	*  
df.mm.trans1:probe11	0.179392974160459	0.0372570655194765	4.81500546699471	1.80897402716372e-06	***
df.mm.trans1:probe12	0.161298708068846	0.0372570655194765	4.32934547635067	1.71646127934201e-05	***
df.mm.trans1:probe13	0.101864918228008	0.0372570655194765	2.73411007570517	0.00641487507748828	** 
df.mm.trans1:probe14	0.0809348421987869	0.0372570655194765	2.17233539652975	0.0301691413446235	*  
df.mm.trans1:probe15	0.140416363454535	0.0372570655194765	3.76885193443726	0.000177986342943834	***
df.mm.trans1:probe16	0.120842232007517	0.0372570655194765	3.24347154888905	0.00123755947328372	** 
df.mm.trans1:probe17	0.239878184506079	0.0372570655194765	6.43846156860315	2.25676249494809e-10	***
df.mm.trans1:probe18	0.250278098415220	0.0372570655194765	6.71760094160891	3.85838997092489e-11	***
df.mm.trans1:probe19	0.185873058747635	0.0372570655194765	4.98893447876265	7.6871407719557e-07	***
df.mm.trans1:probe20	0.178610508062016	0.0372570655194765	4.79400364928489	2.00234926650927e-06	***
df.mm.trans1:probe21	0.252716773681772	0.0372570655194765	6.78305631853003	2.52688963721413e-11	***
df.mm.trans1:probe22	0.143790829203819	0.0372570655194765	3.85942443933624	0.000124287855465925	***
df.mm.trans2:probe2	0.0429092865507993	0.0372570655194765	1.15170870149095	0.249838543254034	   
df.mm.trans2:probe3	-0.0296641995382938	0.0372570655194765	-0.79620332746782	0.426186915049194	   
df.mm.trans2:probe4	0.0363013563873709	0.0372570655194765	0.974348244587165	0.330224124841017	   
df.mm.trans2:probe5	-0.00747441991333894	0.0372570655194765	-0.200617515338979	0.841056607876459	   
df.mm.trans2:probe6	0.0456383993555274	0.0372570655194765	1.22495958066449	0.221007245703027	   
df.mm.trans3:probe2	0.0355438469810325	0.0372570655194765	0.954016278132575	0.340408528861948	   
df.mm.trans3:probe3	0.0450789704640718	0.0372570655194765	1.20994420348286	0.226713455041565	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.88046777947731	0.0823951678071127	47.0958174217388	5.12162498451388e-218	***
df.mm.trans1	0.0100864699022143	0.0740029100794211	0.136298287342881	0.891625118764577	   
df.mm.trans2	-0.0954265958153144	0.06805572633486	-1.40218319536815	0.161308962613557	   
df.mm.exp2	-0.0177372836923947	0.0932194910294606	-0.190274410389015	0.84914990786795	   
df.mm.exp3	-0.0650927355123402	0.0932194910294606	-0.698273878064498	0.485240508970935	   
df.mm.exp4	-0.0409245498352632	0.0932194910294606	-0.439012800684887	0.660789302149565	   
df.mm.exp5	-0.119591873072311	0.0932194910294606	-1.28290630802217	0.199954415447016	   
df.mm.exp6	0.0777762883651755	0.0932194910294606	0.834335046311243	0.404380129296384	   
df.mm.exp7	-0.0333822894926516	0.0932194910294606	-0.358104181046233	0.72037455728174	   
df.mm.exp8	0.000700252610216367	0.0932194910294606	0.0075118690574599	0.994008617013847	   
df.mm.trans1:exp2	0.0550384194561019	0.0892508676828544	0.616670973459624	0.537654589843338	   
df.mm.trans2:exp2	0.0661543807979334	0.0776829091912172	0.851595048211876	0.394733489011184	   
df.mm.trans1:exp3	0.0684047033424076	0.0892508676828544	0.766431801934723	0.443680785728071	   
df.mm.trans2:exp3	0.0915949599462508	0.0776829091912172	1.17908766419637	0.238768504045955	   
df.mm.trans1:exp4	0.0303734972961494	0.0892508676828544	0.340315988905331	0.733721856935653	   
df.mm.trans2:exp4	0.108719831880466	0.0776829091912172	1.39953347541157	0.162101173466220	   
df.mm.trans1:exp5	0.140151582145133	0.0892508676828544	1.57031058390547	0.116799978921212	   
df.mm.trans2:exp5	0.131174555324358	0.0776829091912172	1.68858963561046	0.091748622340223	.  
df.mm.trans1:exp6	-0.0565972021083746	0.0892508676828544	-0.634136155510421	0.526201530784417	   
df.mm.trans2:exp6	0.00711246366765205	0.0776829091912172	0.0915576378601457	0.927076006983978	   
df.mm.trans1:exp7	0.0276058274868202	0.0892508676828544	0.309305984395751	0.75718188628145	   
df.mm.trans2:exp7	0.061401846623094	0.0776829091912172	0.790416415429972	0.429555402751488	   
df.mm.trans1:exp8	0.0400012115512631	0.0892508676828544	0.44818848925261	0.65415745709165	   
df.mm.trans2:exp8	0.0478005216860935	0.0776829091912172	0.615328676329977	0.538539985876023	   
df.mm.trans1:probe2	-0.0323985132220979	0.0446254338414272	-0.726010044792469	0.468078085191737	   
df.mm.trans1:probe3	0.0046707477833384	0.0446254338414272	0.104665599441241	0.916671488210957	   
df.mm.trans1:probe4	-0.0133321449952377	0.0446254338414272	-0.298756647220784	0.7652154238645	   
df.mm.trans1:probe5	0.0117272646212035	0.0446254338414272	0.262793290993549	0.792788125710603	   
df.mm.trans1:probe6	0.00777210278083285	0.0446254338414272	0.174163074995537	0.861788241724751	   
df.mm.trans1:probe7	-0.0633658781441127	0.0446254338414272	-1.41994985122785	0.156072624470601	   
df.mm.trans1:probe8	-0.061761148947327	0.0446254338414272	-1.38398988269313	0.166807748124023	   
df.mm.trans1:probe9	-0.0502139988333622	0.0446254338414272	-1.12523273189441	0.260880545264805	   
df.mm.trans1:probe10	-0.0532043552107751	0.0446254338414272	-1.19224286759502	0.233574707591299	   
df.mm.trans1:probe11	-0.0461340997045924	0.0446254338414272	-1.03380730971773	0.301587401620092	   
df.mm.trans1:probe12	-0.0201458480660413	0.0446254338414272	-0.451443186807504	0.651811607003292	   
df.mm.trans1:probe13	-0.0411810755529534	0.0446254338414272	-0.922816250913928	0.356424607134466	   
df.mm.trans1:probe14	-0.00917577983969105	0.0446254338414272	-0.205617717293157	0.83715000916268	   
df.mm.trans1:probe15	0.0318549082231176	0.0446254338414272	0.713828538593292	0.475573894333006	   
df.mm.trans1:probe16	-0.0446000751157473	0.0446254338414272	-0.999431742764226	0.317934932912	   
df.mm.trans1:probe17	0.0033245344479557	0.0446254338414272	0.0744986471116261	0.940635147524236	   
df.mm.trans1:probe18	0.0600471425792343	0.0446254338414272	1.34558114981261	0.178878348149130	   
df.mm.trans1:probe19	-0.0258671809670658	0.0446254338414272	-0.579651081017671	0.562338598708007	   
df.mm.trans1:probe20	-0.0637843836178091	0.0446254338414272	-1.42932803397411	0.153361238191385	   
df.mm.trans1:probe21	0.00349907195944812	0.0446254338414272	0.0784098138268366	0.9375247341734	   
df.mm.trans1:probe22	-0.0372288630405223	0.0446254338414272	-0.834252125655786	0.404426812335708	   
df.mm.trans2:probe2	-0.00744552853740171	0.0446254338414272	-0.166844955812839	0.867540784908131	   
df.mm.trans2:probe3	0.0715735581267388	0.0446254338414272	1.60387366498373	0.109198183318162	   
df.mm.trans2:probe4	0.065518403909413	0.0446254338414272	1.46818525377764	0.142508291499143	   
df.mm.trans2:probe5	0.118556560435332	0.0446254338414272	2.65670381730323	0.00807278638966804	** 
df.mm.trans2:probe6	0.0677498841086053	0.0446254338414272	1.51818992616069	0.129423232586223	   
df.mm.trans3:probe2	0.0303991393759754	0.0446254338414272	0.681206584657445	0.495968671595869	   
df.mm.trans3:probe3	-9.6455930111327e-05	0.0446254338414272	-0.0021614564119214	0.998276031573778