getBootstrap.JointUniquePairs: Create Bootstrap object from JointUniquePairs object and two...

Description Usage Arguments Value Author(s) See Also Examples

Description

Creates Bootstrap object from JointUniquePairs object and two experiment sets optionally subsetting on a list of ID Maps from the JointUniquePairs object

Usage

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## S3 method for class 'JointUniquePairs'
getBootstrap(this, expSet1, expSet2, groups=NULL, Fisher=FALSE, R=200, verbose=FALSE, ...)

Arguments

expSet1

First ExperimentSet object with primary IDs corresponding (partially intersecting) with primaryIDs of the given JointUniquePairs object.

expSet2

Second ExperimentSet object with primary IDs corresponding (partially intersecting) with secondaryIDs of the given JointUniquePairs object.

groups

If not NULL, defines the subset from UniquePairsMatch on which the full event group to be formed. Default is NULL.

Fisher

If TRUE, the Fisher transform of data is performed during the bootstrapping. Default is FALSE.

R

The number of bootstrap replicates. Default is 200.

verbose

If TRUE enables diagnostic messages. Default is FALSE.

...

Not used

Value

the Bootstrap object

Author(s)

Alex Lisovich, Roger Day

See Also

For more information see JointUniquePairs.

Examples

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 #create data structure containing the  bootstrapping results (correlation and sd)
 bootstrap<-examples$jointUniquePairs$getBootstrap(examples$msmsExperimentSet,examples$mrnaExperimentSet,
		groups=c("NetAffx_Q","DAVID_Q","DAVID_F","EnVision_Q"),R=20,verbose=TRUE);
 bootstrap$plot();
 

IdMappingAnalysis documentation built on Oct. 31, 2019, 3:30 a.m.