getBootstrap.JointUniquePairs {IdMappingAnalysis} | R Documentation

## Create Bootstrap object from JointUniquePairs object and two experiment sets

### Description

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

### Usage

    ## 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

     #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();

[Package IdMappingAnalysis version 1.26.0 Index]