summary.snm: Display summary information for an snm object

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Provides a summary of the snm fit.

Usage

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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 <jstorey@princeton.edu>

References

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

See Also

snm, sim.singleChannel

Examples

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## 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.