do.glm.JointUniquePairs {IdMappingAnalysis} | R Documentation |
Compute linear regression for the given set of ID Maps using the UniquePairsMatch object and auxiliary data (response.data) from another data object.
## 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 |
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));