summary.snm: Display summary information for an snm object

In Sage-Bionetworks/snm: Supervised Normalization of Microarrays

Description

Provides a summary of the snm fit.

Usage

snm.summary(object, cuts=c(0.0001, 0.001, 0.01, 0.025, 0.05, 0.10, 1), ...)
## S3 method for class 'snm'
summary(object, ...)

Arguments

object	An object of class "snm", i.e., output from the snm function.
cuts	Cut points at which to calculate the number of significant probes.
...	Optional arguments to send to the qvalue function in calculating statistical significance.

Details

A summary of the snm fit.

Value

Nothing of interest.

Author(s)

John D. Storey <[e-mail]>

References

Mecham BH, Nelson PS, Storey JD (2010) Supervised normalization of microarrays. Bioinformatics, 26: 1308-1315.

See Also

snm, sim.singleChannel

Examples

## Not run: 
singleChannel <- sim.singleChannel(12345)
snm.obj <- snm(singleChannel$raw.data,
		      singleChannel$bio.var,
		      singleChannel$adj.var,
		      singleChannel$int.var, num.iter=10)
summary(snm.obj)

## End(Not run)

Sage-Bionetworks/snm documentation built on May 9, 2019, 12:14 p.m.