do.glm.JointUniquePairs: Compute linear regression for the given set of ID Maps
In IdMappingAnalysis: ID Mapping Analysis

Description Usage Arguments Value Author(s) See Also Examples

Compute linear regression for the given set of ID Maps using the UniquePairsMatch object and auxiliary data (response.data) from another data object.

1 2	## S3 method for class 'JointUniquePairs' do.glm(this, response.data, weights=NULL, idMapNames=NULL, ...)

`response.data`	The data on which the regression to be fitted.
`weights`	An optional vector of 'prior weights' to be used in the fitting process. Should be `NULL` or a `numeric` vector.
`idMapNames`	optional list of ID Map names within the pairsMatch object on which the fit to be performed. If NULL (default), all ID Maps within the pairsMatch object will be used.
`...`	Not used

The regression model fitting results (an object of class 'glm')

Alex Lisovich, Roger Day

For more information see JointUniquePairs.

 # perform regression on correlations
 fit<-examples$jointUniquePairs$do.glm(examples$corr$getData(),
		idMapNames=c("DAVID_Q","EnVision_Q","NetAffx_Q"));
 coefficients(summary(fit));