chr13.6697_chr13_30167287_30200597_+_2.R 

fitVsDatCorrelation=0.870066365649864
cont.fitVsDatCorrelation=0.294091064137084

fstatistic=8947.9997032379,57,807
cont.fstatistic=2369.68518660261,57,807

residuals=-0.861389267313751,-0.0877455414319696,-0.0053312095834252,0.0862602314740853,1.21883144452174
cont.residuals=-0.718657468198004,-0.240546793754004,-0.0625665899928646,0.200931599323821,1.50151219802352

predictedValues:
Include	Exclude	Both
chr13.6697_chr13_30167287_30200597_+_2.R.tl.Lung	66.152748461207	54.3456724967115	64.1529582882475
chr13.6697_chr13_30167287_30200597_+_2.R.tl.cerebhem	62.8659289795321	66.2305278755919	67.4910544406228
chr13.6697_chr13_30167287_30200597_+_2.R.tl.cortex	67.9067546851757	56.4917383079373	73.4201200448556
chr13.6697_chr13_30167287_30200597_+_2.R.tl.heart	67.2194527647266	56.9627244048675	71.158681298055
chr13.6697_chr13_30167287_30200597_+_2.R.tl.kidney	69.0406301662244	55.4228465250006	69.643924414054
chr13.6697_chr13_30167287_30200597_+_2.R.tl.liver	66.5087544102809	52.3122141906963	63.7988877454407
chr13.6697_chr13_30167287_30200597_+_2.R.tl.stomach	67.7741705539834	57.3160420577314	67.5928649785953
chr13.6697_chr13_30167287_30200597_+_2.R.tl.testicle	72.6085311969143	53.1761981102056	80.5399159303446


diffExp=11.8070759644955,-3.36459889605979,11.4150163772384,10.2567283598590,13.6177836412239,14.1965402195846,10.4581284962520,19.4323330867087
diffExpScore=1.06450418631722
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=0,0,0,0,0,0,0,1
diffExp1.3Score=0.5
diffExp1.2=1,0,1,0,1,1,0,1
diffExp1.2Score=0.833333333333333

cont.predictedValues:
Include	Exclude	Both
Lung	68.734547947416	62.4129282943507	63.896704810202
cerebhem	67.8733415962303	65.7572700060706	69.3588760572473
cortex	66.3969987945648	64.6638917149238	64.2829825343583
heart	66.1174026333377	54.0553851926565	73.2070879580937
kidney	65.5826549445757	56.1270128114194	64.6218531180112
liver	62.0476062532331	76.000398288391	60.7825100822776
stomach	63.4962077228917	61.5955019258682	72.9149232060598
testicle	68.8026237371561	74.7910158690528	60.8417753097219
cont.diffExp=6.3216196530653,2.11607159015973,1.73310707964102,12.0620174406811,9.45564213315629,-13.9527920351579,1.90070579702348,-5.98839213189669
cont.diffExpScore=3.65445266791290

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

tran.correlation=-0.681510743891908
cont.tran.correlation=-0.077327070721113

tran.covariance=-0.00203161069497884
cont.tran.covariance=-0.000331521390509981

tran.mean=62.0209334491742
cont.tran.mean=65.2784242332587

weightedLogRatios:
wLogRatio
Lung	0.804820619502018
cerebhem	-0.217259329057311
cortex	0.759374762880455
heart	0.682987822341398
kidney	0.906241627450498
liver	0.978970428476224
stomach	0.692589537144559
testicle	1.28617393083332

cont.weightedLogRatios:
wLogRatio
Lung	0.40347851274208
cerebhem	0.133084286017328
cortex	0.110620598956842
heart	0.823964462618931
kidney	0.639196337848172
liver	-0.857861143035417
stomach	0.125692016934976
testicle	-0.356604495961714

varWeightedLogRatios=0.187054944220524
cont.varWeightedLogRatios=0.289810404780291

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.01903738439006	0.0820811684610716	48.9641833777763	7.25884433257717e-244	***
df.mm.trans1	0.126801256791432	0.0712766894350566	1.77900036879471	0.0756160385886293	.  
df.mm.trans2	-0.0728159590086008	0.06335473775325	-1.14933723334472	0.250757464189224	   
df.mm.exp2	0.0960895668510708	0.0823417902197999	1.16695989478214	0.243571273052036	   
df.mm.exp3	-0.0700293217435615	0.0823417902197999	-0.85047120734961	0.395315419959861	   
df.mm.exp4	-0.0406137746858518	0.0823417902197999	-0.493234050139535	0.621981410605162	   
df.mm.exp5	-0.0197696119797377	0.0823417902197999	-0.240092083581926	0.810319843975898	   
df.mm.exp6	-0.0272335087133235	0.0823417902197999	-0.330737389126803	0.740928708947849	   
df.mm.exp7	0.0251980569248841	0.0823417902198	0.306017841701296	0.759669987815312	   
df.mm.exp8	-0.156120815754223	0.0823417902198	-1.8960094908974	0.0583157678813327	.  
df.mm.trans1:exp2	-0.147051658162538	0.0765897521585717	-1.91999130455575	0.0552112211574439	.  
df.mm.trans2:exp2	0.101686948432102	0.0585506281207798	1.73673539799333	0.0828154733297678	.  
df.mm.trans1:exp3	0.096198392639825	0.0765897521585717	1.25602172521273	0.209471593381534	   
df.mm.trans2:exp3	0.108758737044261	0.0585506281207798	1.85751614517115	0.0636018353639893	.  
df.mm.trans1:exp4	0.0566100173704485	0.0765897521585717	0.73913305337825	0.460041134240827	   
df.mm.trans2:exp4	0.0876458832658276	0.0585506281207799	1.49692473127751	0.134803836815865	   
df.mm.trans1:exp5	0.0624983476456663	0.0765897521585717	0.816014491289506	0.414732637896131	   
df.mm.trans2:exp5	0.039396525349175	0.0585506281207798	0.672862556963638	0.501227359176293	   
df.mm.trans1:exp6	0.0326006543579513	0.0765897521585717	0.425652955377826	0.670474236891956	   
df.mm.trans2:exp6	-0.0109015940726975	0.0585506281207798	-0.186190898758752	0.852341852591235	   
df.mm.trans1:exp7	-0.000983338464808767	0.0765897521585717	-0.0128390344281681	0.989759387359486	   
df.mm.trans2:exp7	0.0280175061945734	0.0585506281207799	0.478517602523035	0.632411460737967	   
df.mm.trans1:exp8	0.249236801660547	0.0765897521585717	3.25417950360416	0.00118454527421506	** 
df.mm.trans2:exp8	0.134366720521757	0.0585506281207799	2.29488094038175	0.0219957799714927	*  
df.mm.trans1:probe2	-0.245224733465756	0.0501397623892232	-4.89082360546772	1.21208405260934e-06	***
df.mm.trans1:probe3	-0.164134116371323	0.0501397623892232	-3.27353199437182	0.00110733463356892	** 
df.mm.trans1:probe4	0.693818346403034	0.0501397623892232	13.8376871636743	3.122471610315e-39	***
df.mm.trans1:probe5	0.101160220400908	0.0501397623892232	2.01756481444057	0.043967168299507	*  
df.mm.trans1:probe6	0.160225268002610	0.0501397623892232	3.19557294186636	0.00144980822529100	** 
df.mm.trans1:probe7	0.558811279189326	0.0501397623892232	11.1450723450064	6.23225961119848e-27	***
df.mm.trans1:probe8	-0.30700095263831	0.0501397623892232	-6.12290401887296	1.43360713522980e-09	***
df.mm.trans1:probe9	-0.332044328069858	0.0501397623892232	-6.62237538128474	6.44895111522036e-11	***
df.mm.trans1:probe10	0.741391056874932	0.0501397623892232	14.7864892362211	5.87497014843106e-44	***
df.mm.trans1:probe11	0.283154250053389	0.0501397623892232	5.64729939993191	2.25840992093410e-08	***
df.mm.trans1:probe12	0.349078389215866	0.0501397623892232	6.96210697023357	6.94801124637956e-12	***
df.mm.trans1:probe13	0.141489667293367	0.0501397623892232	2.82190542099135	0.00489125145291666	** 
df.mm.trans1:probe14	0.10161797314426	0.0501397623892232	2.02669434999359	0.0430220493595716	*  
df.mm.trans1:probe15	0.457141053184584	0.0501397623892232	9.11733585085437	5.99784838189615e-19	***
df.mm.trans1:probe16	0.135958786433998	0.0501397623892232	2.71159614556171	0.00683840889415686	** 
df.mm.trans1:probe17	-0.277729848117433	0.0501397623892232	-5.53911376686393	4.11537311566204e-08	***
df.mm.trans1:probe18	-0.292270696641763	0.0501397623892232	-5.82912009779652	8.05316949976457e-09	***
df.mm.trans1:probe19	-0.206652179624739	0.0501397623892232	-4.12152291469884	4.15279762641586e-05	***
df.mm.trans1:probe20	-0.101625240819467	0.0501397623892232	-2.02683929833122	0.0430071836764965	*  
df.mm.trans1:probe21	-0.190339227008322	0.0501397623892232	-3.79617329517366	0.000157954000524538	***
df.mm.trans1:probe22	-0.222991044281400	0.0501397623892232	-4.44738933045540	9.91000156120338e-06	***
df.mm.trans2:probe2	0.122583751243825	0.0501397623892232	2.44484108824122	0.0147044819247783	*  
df.mm.trans2:probe3	0.0663234882249161	0.0501397623892232	1.32277228819041	0.186285823755424	   
df.mm.trans2:probe4	0.269841847285070	0.0501397623892232	5.3817934993459	9.6723756739217e-08	***
df.mm.trans2:probe5	0.0738701352857216	0.0501397623892232	1.47328451045071	0.141064262353317	   
df.mm.trans2:probe6	0.155390647921844	0.0501397623892232	3.09915006608095	0.00200810116746659	** 
df.mm.trans3:probe2	0.387577905324388	0.0501397623892232	7.72995097814209	3.19917709583003e-14	***
df.mm.trans3:probe3	0.266577584913644	0.0501397623892232	5.31669023168208	1.36894474355205e-07	***
df.mm.trans3:probe4	0.173125473120258	0.0501397623892232	3.4528578690965	0.000583561194709883	***
df.mm.trans3:probe5	-0.257727433837394	0.0501397623892232	-5.14018059831869	3.44599817635307e-07	***
df.mm.trans3:probe6	-0.165122907126937	0.0501397623892232	-3.29325268526657	0.00103347276714818	** 
df.mm.trans3:probe7	0.506445490146529	0.0501397623892232	10.1006759109689	1.14167607097859e-22	***
df.mm.trans3:probe8	-0.204895928565120	0.0501397623892232	-4.08649580296296	4.81702876869425e-05	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.05435287031288	0.159151591695162	25.4747868188372	1.64159505227187e-105	***
df.mm.trans1	0.111430948547015	0.138202206267702	0.806289216043123	0.420313641342809	   
df.mm.trans2	0.0360972291724639	0.122841908124655	0.293851094659274	0.768947247851908	   
df.mm.exp2	-0.0424371478680618	0.159656925238893	-0.265802111650112	0.790459505953426	   
df.mm.exp3	-0.00519672460092588	0.159656925238893	-0.0325493215728041	0.974042032342794	   
df.mm.exp4	-0.318607684223712	0.159656925238893	-1.99557697698977	0.0463157288091652	*  
df.mm.exp5	-0.164380774197423	0.159656925238893	-1.02958749801464	0.303512164010801	   
df.mm.exp6	0.144581829501120	0.159656925238893	0.905578190766132	0.36542944011783	   
df.mm.exp7	-0.224480895699746	0.159656925238893	-1.40602041135301	0.160102970882253	   
df.mm.exp8	0.230906401911661	0.159656925238893	1.44626612072203	0.148490837004154	   
df.mm.trans1:exp2	0.0298285384624372	0.148503989308531	0.200860182957548	0.840858513856517	   
df.mm.trans2:exp2	0.0946349451279715	0.113526961602564	0.833590045854221	0.404758691448366	   
df.mm.trans1:exp3	-0.0294033729717402	0.148503989308531	-0.197997192591587	0.843097123859749	   
df.mm.trans2:exp3	0.0406272443304871	0.113526961602564	0.357864279612409	0.720538461926496	   
df.mm.trans1:exp4	0.279787719631038	0.148503989308531	1.88404177513207	0.0599185828905821	.  
df.mm.trans2:exp4	0.174844418762460	0.113526961602564	1.54011361084918	0.123924660201868	   
df.mm.trans1:exp5	0.117440074696743	0.148503989308531	0.790821009210403	0.429280790808904	   
df.mm.trans2:exp5	0.0582255445064404	0.113526961602564	0.512878559282481	0.608176629900769	   
df.mm.trans1:exp6	-0.246931850458927	0.148503989308531	-1.66279607442668	0.0967415631993186	.  
df.mm.trans2:exp6	0.0523843132881646	0.113526961602564	0.46142618941527	0.644617209418111	   
df.mm.trans1:exp7	0.145209124759167	0.148503989308531	0.97781295597037	0.328459868183149	   
df.mm.trans2:exp7	0.211297304769085	0.113526961602564	1.86120813757702	0.0630782171899589	.  
df.mm.trans1:exp8	-0.229916476141551	0.148503989308531	-1.54821750723395	0.121961988441976	   
df.mm.trans2:exp8	-0.0499810709673974	0.113526961602564	-0.440257276878171	0.659868672518046	   
df.mm.trans1:probe2	0.0346676607505914	0.0972186817156078	0.356594639413072	0.721488504855694	   
df.mm.trans1:probe3	0.117538376207696	0.0972186817156078	1.20901018336711	0.227013030263148	   
df.mm.trans1:probe4	0.0672230719230885	0.0972186817156078	0.691462491949181	0.489473810378106	   
df.mm.trans1:probe5	-0.0106294266795876	0.0972186817156078	-0.109335227468746	0.912963787483765	   
df.mm.trans1:probe6	-0.00613330523639597	0.0972186817156078	-0.0630877227314975	0.949712272953591	   
df.mm.trans1:probe7	-0.0131233106605334	0.0972186817156078	-0.134987539729481	0.892655386278136	   
df.mm.trans1:probe8	0.232051384911458	0.0972186817156078	2.38690116772283	0.0172204488368009	*  
df.mm.trans1:probe9	0.185368270609927	0.0972186817156078	1.90671450526538	0.0569124537294959	.  
df.mm.trans1:probe10	0.0312094021799773	0.0972186817156078	0.321022684418552	0.748276317025501	   
df.mm.trans1:probe11	0.158670090486195	0.0972186817156078	1.63209465183194	0.103049666556604	   
df.mm.trans1:probe12	0.107417335381812	0.0972186817156078	1.10490425797007	0.269530387130572	   
df.mm.trans1:probe13	0.190762526248481	0.0972186817156078	1.96220029815376	0.0500824530638562	.  
df.mm.trans1:probe14	0.0470010390190881	0.0972186817156078	0.483456864356375	0.628902524693555	   
df.mm.trans1:probe15	0.072336070609483	0.0972186817156077	0.744055250832207	0.457059637140856	   
df.mm.trans1:probe16	0.246435333314624	0.0972186817156078	2.53485573930653	0.0114372203784910	*  
df.mm.trans1:probe17	0.164874507446733	0.0972186817156078	1.69591383607769	0.0902878927701309	.  
df.mm.trans1:probe18	-0.00824645927510015	0.0972186817156078	-0.0848238129706735	0.932422499914782	   
df.mm.trans1:probe19	0.0223187640777513	0.0972186817156078	0.229572790783566	0.81848192461784	   
df.mm.trans1:probe20	0.0278547823046548	0.0972186817156078	0.286516766254226	0.77455589376799	   
df.mm.trans1:probe21	0.128294817013251	0.0972186817156078	1.31965188942337	0.187325512632135	   
df.mm.trans1:probe22	0.138153128265604	0.0972186817156078	1.42105535507816	0.155686950255493	   
df.mm.trans2:probe2	0.147256248973587	0.0972186817156078	1.51469086367940	0.130242262536648	   
df.mm.trans2:probe3	0.0698868477956359	0.0972186817156078	0.718862327305309	0.472433840786373	   
df.mm.trans2:probe4	0.0837112812282484	0.0972186817156078	0.86106167817753	0.389459830648648	   
df.mm.trans2:probe5	0.270677096875415	0.0972186817156078	2.78420867367058	0.00549142581182212	** 
df.mm.trans2:probe6	0.0349812660128939	0.0972186817156078	0.359820411011374	0.719075579268877	   
df.mm.trans3:probe2	-0.105512835259609	0.0972186817156078	-1.0853144004592	0.278106531556089	   
df.mm.trans3:probe3	-0.0736951589848885	0.0972186817156078	-0.758034954644496	0.448651359491335	   
df.mm.trans3:probe4	0.0222777237263291	0.0972186817156078	0.229150646081560	0.818809891248426	   
df.mm.trans3:probe5	-0.0158505330351383	0.0972186817156078	-0.163039991444295	0.870527765468825	   
df.mm.trans3:probe6	-0.149353078295208	0.0972186817156078	-1.53625903642787	0.12486681919677	   
df.mm.trans3:probe7	-0.0268522430055740	0.0972186817156078	-0.276204557927708	0.782461674473346	   
df.mm.trans3:probe8	-0.00791992229788924	0.0972186817156078	-0.0814650246035763	0.935092338269064