summary.snm: Display summary information for an snm object
In snm: Supervised Normalization of Microarrays

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

View source: R/summary.snm.R

Provides a summary of the snm fit.

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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, ...)

`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.

A summary of the snm fit.

Nothing of interest.

John D. Storey <jstorey@princeton.edu>

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

snm, sim.singleChannel

## 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)