class.mergeCoeff: Class mergeCoeff, a class for storing regression...
In MergeMaid: Merge Maid

Description Slots Methods See Also Examples

This is the class representation for output from regression coefficient calculations

coeff: Object of class matrix, A matrix storing default coefficients.
coeff.std: Object of class matrix, A matrix storing standardized coefficients.
zscore: Object of class matrix, A matrix storing zscores.

Class-specific methods:

coeff (mergeCoeff): Accessor function for the coeff slot.
coeff<- (mergeCoeff): Replacement function for the coeff slot.
stdcoeff (mergeCoeff): Accessor function for the coeff.std slot.
stdcoeff<- (mergeCoeff): Replacement function for the coeff.std slot.
zscore (mergeCoeff): Accessor function for the zscore slot.
zscore<- (mergeCoeff): Replacement function for the zscore slot.

Standard generic methods:

plot (list): This method is not formally defined for mergeCoeff objects but for a matrix. This function would typically be called with the following syntax, plot(coeff(mergeCoeff)).The result is pairwise scatterplots of the columns of the selected matrix. If there are two studies, this is a single scatterplot.

mergeExprs,modelOutcome, mergeExpressionSet-class

  if(require(Biobase) & require(MASS) & require(survival)){
  
  data(mergeData)
  merged  <- mergeExprs(sample1,sample2,sample3)

  log.coeff  <- modelOutcome(merged,outcome=c(1,1,1),method="logistic")
  plot(coeff(log.coeff))
  plot(stdcoeff(log.coeff),pch=4,labels=c("study A","study B","study C"),col=3)

  linear.coeff  <- modelOutcome(merged[1:2],outcome=c(3,3),method="linear")
  plot(zscore(linear.coeff))
  plot(zscore(linear.coeff),xlab="study A",ylab="study B",col=2)
  }