chr13.6306_chr13_49236692_49244640_+_2.R 

fitVsDatCorrelation=0.879371514262508
cont.fitVsDatCorrelation=0.277218123219763

fstatistic=9242.69289445055,46,554
cont.fstatistic=2260.71999688307,46,554

residuals=-0.419495450481174,-0.0777826357811284,-0.00744203727108005,0.0697209731623168,1.87399033028693
cont.residuals=-0.542308550651654,-0.209199681229575,-0.0771758529536027,0.179337018777737,1.98266771884347

predictedValues:
Include	Exclude	Both
chr13.6306_chr13_49236692_49244640_+_2.R.tl.Lung	56.1814234586427	45.5128708161056	57.063128072181
chr13.6306_chr13_49236692_49244640_+_2.R.tl.cerebhem	54.2319701301755	42.9922096172228	54.6142964940022
chr13.6306_chr13_49236692_49244640_+_2.R.tl.cortex	55.2057525227498	45.6468526033872	55.5191956972291
chr13.6306_chr13_49236692_49244640_+_2.R.tl.heart	61.7460454477619	48.7077659378961	53.1822881169002
chr13.6306_chr13_49236692_49244640_+_2.R.tl.kidney	60.7982486369894	44.0376655794123	56.6478658342949
chr13.6306_chr13_49236692_49244640_+_2.R.tl.liver	69.1000994608556	47.2274085333719	66.5757427581451
chr13.6306_chr13_49236692_49244640_+_2.R.tl.stomach	61.0879936045828	45.6281193623362	53.4583885197092
chr13.6306_chr13_49236692_49244640_+_2.R.tl.testicle	61.1891434017006	43.2823507486422	53.6820205578045


diffExp=10.6685526425372,11.2397605129528,9.55889991936257,13.0382795098658,16.7605830575771,21.8726909274837,15.4598742422467,17.9067926530584
diffExpScore=0.991489755235045
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=0,0,0,0,0,1,0,1
diffExp1.4Score=0.666666666666667
diffExp1.3=0,0,0,0,1,1,1,1
diffExp1.3Score=0.8
diffExp1.2=1,1,1,1,1,1,1,1
diffExp1.2Score=0.888888888888889

cont.predictedValues:
Include	Exclude	Both
Lung	56.4421784030746	63.0317618523717	60.0588271226518
cerebhem	56.971972479944	60.7582988641221	57.2045653420987
cortex	56.4515607967169	52.3139423743031	56.2867850366821
heart	56.8189537672634	62.1847518054228	58.951410288662
kidney	52.9536587335397	67.7720030123598	53.6618093780151
liver	57.8202160255298	61.8267399994982	61.966604828059
stomach	53.3082990035194	55.6893517873444	57.8393596770979
testicle	60.2379242166596	57.1660686632788	62.0391710225175
cont.diffExp=-6.58958344929713,-3.78632638417812,4.13761842241386,-5.3657980381594,-14.8183442788202,-4.00652397396833,-2.38105278382499,3.07185555338076
cont.diffExpScore=1.43655671529658

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

tran.correlation=0.480639761656366
cont.tran.correlation=-0.259221673661809

tran.covariance=0.00159942848028215
cont.tran.covariance=-0.000803697301761665

tran.mean=52.6609949913645
cont.tran.mean=58.2342301115593

weightedLogRatios:
wLogRatio
Lung	0.826209694666806
cerebhem	0.900473313047846
cortex	0.744559049995775
heart	0.949817555653695
kidney	1.27274464029260
liver	1.53955417155244
stomach	1.15736623778700
testicle	1.36442267230057

cont.weightedLogRatios:
wLogRatio
Lung	-0.451452501530279
cerebhem	-0.262185520292784
cortex	0.304124058380731
heart	-0.368628910769124
kidney	-1.00982060680733
liver	-0.274075801682232
stomach	-0.174697746505179
testicle	0.213141897897871

varWeightedLogRatios=0.0799532015403265
cont.varWeightedLogRatios=0.165695163181726

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	3.61835042327165	0.07460441614755	48.5004857636766	1.52317923146310e-201	***
df.mm.trans1	0.250935760225076	0.0635074964690454	3.95127778887309	8.77840634043996e-05	***
df.mm.trans2	0.211722276777309	0.0588944293857968	3.59494571872648	0.000353411924034430	***
df.mm.exp2	-0.0484293269048058	0.0780023939724261	-0.620869750765926	0.534940670899561	   
df.mm.exp3	0.0128498344411043	0.078002393972426	0.164736411111264	0.86921154567126	   
df.mm.exp4	0.232719848748071	0.0780023939724261	2.9834962351327	0.00297531927382242	** 
df.mm.exp5	0.0533288181162776	0.0780023939724261	0.683681812831659	0.494461957420522	   
df.mm.exp6	0.0897671403047601	0.078002393972426	1.15082545205591	0.250300519231620	   
df.mm.exp7	0.151512800594148	0.0780023939724261	1.94241218606326	0.0525936052769951	.  
df.mm.exp8	0.0962134387778903	0.0780023939724261	1.23346776782135	0.217924364774185	   
df.mm.trans1:exp2	0.0131137574371282	0.0692369033893379	0.189404158695341	0.84984543598869	   
df.mm.trans2:exp2	-0.00854690654223531	0.0591871955448089	-0.144404654817015	0.885233456741559	   
df.mm.trans1:exp3	-0.0303688330367321	0.0692369033893379	-0.438622057748018	0.661106407849756	   
df.mm.trans2:exp3	-0.00991033706814435	0.0591871955448089	-0.167440558332275	0.867084516087598	   
df.mm.trans1:exp4	-0.138276075440110	0.0692369033893379	-1.99714413370780	0.0462981929786784	*  
df.mm.trans2:exp4	-0.164876527563367	0.0591871955448089	-2.78567899772416	0.00552447616480001	** 
df.mm.trans1:exp5	0.0256460063106881	0.0692369033893379	0.370409493423956	0.711218976664007	   
df.mm.trans2:exp5	-0.0862786755265793	0.0591871955448089	-1.45772535313420	0.145482876856687	   
df.mm.trans1:exp6	0.117202871025852	0.0692369033893379	1.69278037128247	0.0910594975952719	.  
df.mm.trans2:exp6	-0.0527878880162042	0.059187195544809	-0.891880203653846	0.372844350861442	   
df.mm.trans1:exp7	-0.067783616560291	0.0692369033893379	-0.979009938950119	0.328002387376057	   
df.mm.trans2:exp7	-0.148983782477673	0.059187195544809	-2.51716238801822	0.0121115278193885	*  
df.mm.trans1:exp8	-0.0108298192106840	0.0692369033893379	-0.156416862692212	0.875761428413932	   
df.mm.trans2:exp8	-0.146463651854511	0.059187195544809	-2.47458340450727	0.0136374613683467	*  
df.mm.trans1:probe2	-0.00865700885304493	0.0439992842183551	-0.196753401943605	0.844092675425548	   
df.mm.trans1:probe3	-0.0712192706157453	0.0439992842183551	-1.61864611847560	0.106092555582639	   
df.mm.trans1:probe4	0.115961759529168	0.0439992842183551	2.63553740905614	0.00863573038248771	** 
df.mm.trans1:probe5	-0.0557768625354573	0.0439992842183551	-1.26767658897935	0.205446012037174	   
df.mm.trans1:probe6	0.0134478619174066	0.0439992842183551	0.30563819744587	0.759994942035016	   
df.mm.trans1:probe7	0.256708607393118	0.0439992842183551	5.83438144400603	9.1897048324469e-09	***
df.mm.trans1:probe8	0.651701391675583	0.0439992842183551	14.8116362175663	4.6589078245341e-42	***
df.mm.trans1:probe9	0.523605376199559	0.0439992842183551	11.9003157778900	3.07741401853101e-29	***
df.mm.trans1:probe10	0.61173499972379	0.0439992842183551	13.9032943510611	6.53502113881358e-38	***
df.mm.trans1:probe11	0.503795179459934	0.0439992842183551	11.4500767094244	2.15489982318704e-27	***
df.mm.trans1:probe12	0.485397497202257	0.0439992842183551	11.0319407650674	1.01961694343732e-25	***
df.mm.trans2:probe2	-0.0090425518473857	0.0439992842183551	-0.205515885270094	0.837244581772385	   
df.mm.trans2:probe3	-0.0815255742719147	0.0439992842183551	-1.85288410300786	0.0644305475572197	.  
df.mm.trans2:probe4	-0.0248164284628361	0.0439992842183551	-0.564018913118671	0.572969510621857	   
df.mm.trans2:probe5	-0.0459248344426379	0.0439992842183551	-1.04376321702705	0.297050184645230	   
df.mm.trans2:probe6	0.00430138183723579	0.0439992842183551	0.0977602684600355	0.922158015522266	   
df.mm.trans3:probe2	-0.0492256700176325	0.0439992842183551	-1.11878342777897	0.263717403023451	   
df.mm.trans3:probe3	-0.289491133967852	0.0439992842183551	-6.57945098677506	1.09514325605251e-10	***
df.mm.trans3:probe4	-0.081234179855154	0.0439992842183551	-1.84626139489028	0.065387489890996	.  
df.mm.trans3:probe5	-0.174343186340378	0.0439992842183551	-3.96240960364641	8.38967107190447e-05	***
df.mm.trans3:probe6	0.352526597828667	0.0439992842183551	8.01209847140206	6.69884741523012e-15	***
df.mm.trans3:probe7	-0.0161844943138461	0.0439992842183551	-0.367835400083495	0.713136461310202	   

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.22909243782781	0.150546076432057	28.0916815506410	1.28027987322619e-108	***
df.mm.trans1	-0.187841102049575	0.128153330742894	-1.46575278972990	0.143282969284501	   
df.mm.trans2	-0.0646254825193137	0.118844509823668	-0.5437818088122	0.586810385546071	   
df.mm.exp2	0.0212984620294142	0.157402939011432	0.135311717577696	0.892414569479979	   
df.mm.exp3	-0.121344868846682	0.157402939011432	-0.770918698270744	0.441083777308616	   
df.mm.exp4	0.0117352900179969	0.157402939011432	0.0745557236205391	0.940595115896112	   
df.mm.exp5	0.121333833732255	0.157402939011432	0.770848590847741	0.441125301594821	   
df.mm.exp6	-0.0264521232442666	0.157402939011432	-0.168053553576566	0.866602479523316	   
df.mm.exp7	-0.143319471474897	0.157402939011432	-0.9105260192409	0.36294115178641	   
df.mm.exp8	-0.0650342795407731	0.157402939011432	-0.413170681241535	0.679641437099923	   
df.mm.trans1:exp2	-0.0119557490366294	0.139714841128912	-0.0855725056839026	0.931837171627882	   
df.mm.trans2:exp2	-0.0580335380560456	0.119435289818035	-0.485899420049655	0.627230603628688	   
df.mm.trans1:exp3	0.121511085214932	0.139714841128912	0.869707786467834	0.384836767773671	   
df.mm.trans2:exp3	-0.0650309667493463	0.119435289818035	-0.544487034346582	0.58632545470327	   
df.mm.trans1:exp4	-0.00508204990257533	0.139714841128912	-0.0363744457032035	0.970996892600711	   
df.mm.trans2:exp4	-0.0252642238835391	0.119435289818035	-0.211530644937776	0.832551014206927	   
df.mm.trans1:exp5	-0.185133389211152	0.139714841128913	-1.32508034017898	0.185690751407341	   
df.mm.trans2:exp5	-0.0488234147222062	0.119435289818035	-0.408785500471351	0.682855052276789	   
df.mm.trans1:exp6	0.0505738729644554	0.139714841128912	0.361979246841728	0.717505566596078	   
df.mm.trans2:exp6	0.00714932446805396	0.119435289818035	0.0598593973267555	0.952289204478001	   
df.mm.trans1:exp7	0.0861947711227493	0.139714841128912	0.61693353709803	0.537532016355664	   
df.mm.trans2:exp7	0.0194696736146568	0.119435289818035	0.163014412610542	0.870566531928767	   
df.mm.trans1:exp8	0.130119680849761	0.139714841128912	0.931323256701858	0.352092040398156	   
df.mm.trans2:exp8	-0.0326439590109696	0.119435289818035	-0.273319209596294	0.78470971015397	   
df.mm.trans1:probe2	0.073499814351995	0.0887872320023487	0.827819639090119	0.408129103544705	   
df.mm.trans1:probe3	-0.0632086870956054	0.0887872320023487	-0.711911900732904	0.47681900872909	   
df.mm.trans1:probe4	-0.0517245497384716	0.0887872320023487	-0.5825674319603	0.560421559877296	   
df.mm.trans1:probe5	0.110566445036690	0.0887872320023487	1.24529667772237	0.21354916894551	   
df.mm.trans1:probe6	-0.151425048149501	0.0887872320023487	-1.70548224935648	0.088665066416038	.  
df.mm.trans1:probe7	1.04155188210902e-05	0.0887872320023487	0.000117308745708107	0.999906443293907	   
df.mm.trans1:probe8	0.0198012344599223	0.0887872320023487	0.223018941049976	0.823602968448508	   
df.mm.trans1:probe9	0.00849559489325818	0.0887872320023487	0.095684871593175	0.923805457174552	   
df.mm.trans1:probe10	-0.0809776158569564	0.0887872320023487	-0.912041225193441	0.362143711416584	   
df.mm.trans1:probe11	-0.00427408405874674	0.0887872320023487	-0.0481384987723649	0.961623212856118	   
df.mm.trans1:probe12	-0.0134211614989338	0.0887872320023486	-0.151160940557070	0.879903786116326	   
df.mm.trans2:probe2	-0.0487468139607711	0.0887872320023487	-0.549029549197812	0.583206381714187	   
df.mm.trans2:probe3	-0.0379537602765902	0.0887872320023487	-0.427468673373963	0.669204096390842	   
df.mm.trans2:probe4	-0.109726864768733	0.0887872320023487	-1.23584058534261	0.217041582863412	   
df.mm.trans2:probe5	-0.0427448265290715	0.0887872320023487	-0.481429880908335	0.630401105534968	   
df.mm.trans2:probe6	-0.0315943289299799	0.0887872320023486	-0.355843156920853	0.722093484699488	   
df.mm.trans3:probe2	0.0652200044947895	0.0887872320023487	0.734565128610657	0.462915181656171	   
df.mm.trans3:probe3	0.131254548506190	0.0887872320023487	1.47830431860651	0.139894646748439	   
df.mm.trans3:probe4	0.202154262369074	0.0887872320023487	2.27683933613029	0.0231763053232091	*  
df.mm.trans3:probe5	0.229314218032584	0.0887872320023487	2.58273867605781	0.0100572731719418	*  
df.mm.trans3:probe6	0.160678129113537	0.0887872320023487	1.80969859618201	0.0708843374305313	.  
df.mm.trans3:probe7	0.0422696022312807	0.0887872320023486	0.476077486345813	0.634206862234751