getZ {MIMOSA} | R Documentation |
Extract the posterior probabilities of response from a MIMOSA model
Extract the component weights from a MIMOSA model
getZ(x) ## S3 method for class 'MIMOSAResultList' getZ(x) ## S3 method for class 'MIMOSAResult' getZ(x) getW(x) ## S3 method for class 'MIMOSAResultList' getW(x) ## S3 method for class 'MIMOSAResult' getW(x)
x |
output from a MIMOSA model |
a matrix
of posterior probabilities
a vector
of component weights
data(ICS) E<-ConstructMIMOSAExpressionSet(ICS, reference=ANTIGEN%in%'negctrl',measure.columns=c('CYTNUM','NSUB'), other.annotations=c('CYTOKINE','TCELLSUBSET','ANTIGEN','UID'), default.cast.formula=component~UID+ANTIGEN+CYTOKINE+TCELLSUBSET, .variables=.(TCELLSUBSET,CYTOKINE,UID), featureCols=1,ref.append.replace='_REF') result<-MIMOSA(NSUB+CYTNUM~UID+TCELLSUBSET+CYTOKINE|ANTIGEN, data=E, method='EM', subset=RefTreat%in%'Treatment'&ANTIGEN%in%'ENV', ref=ANTIGEN%in%'ENV'&RefTreat%in%'Reference') getZ(result) data(ICS) E<-ConstructMIMOSAExpressionSet(ICS, reference=ANTIGEN%in%'negctrl',measure.columns=c('CYTNUM','NSUB'), other.annotations=c('CYTOKINE','TCELLSUBSET','ANTIGEN','UID'), default.cast.formula=component~UID+ANTIGEN+CYTOKINE+TCELLSUBSET, .variables=.(TCELLSUBSET,CYTOKINE,UID), featureCols=1,ref.append.replace='_REF') result<-MIMOSA(NSUB+CYTNUM~UID+TCELLSUBSET+CYTOKINE|ANTIGEN, data=E, method='EM', subset=RefTreat%in%'Treatment'&ANTIGEN%in%'ENV', ref=ANTIGEN%in%'ENV'&RefTreat%in%'Reference') getW(result)