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snm (version 1.20.0)

snm.summary: Display summary information for an snm object

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), ...)
"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.

Value

Nothing of interest.

Details

A summary of the snm fit.

References

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

See Also

snm, sim.singleChannel

Examples

Run this code
## 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)

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