\name{GNUSE}
\alias{GNUSE}
\title{GNUSE}
\description{
  Computes the generalized normalized unscaled standard error (a measure
  of microarray quality).
}
\usage{
  GNUSE(object, type=c("plot", "values", "stats", "density"), ...)
}
\arguments{
  \item{object}{a PLMset produced by frma}
  \item{type}{the desired output}
  \item{...}{additional graphical parameters for types plot or density}
}
\value{
  If type is plot, boxplots of GNUSE values are displayed. If type is
  values, the GNUSE values are returned. If type is stats, the median,
  IQR, 95th, and 99th percentiles are reported. If type is density, a
  density plots of GNUSE values are displayed.
}
\author{Matthew N. McCall}
\examples{
  library(frma)
  library(frmaExampleData)
  data(AffyBatchExample)
  object <- frma(AffyBatchExample, output.param=c("stderr"))
  GNUSE(object, type="stats")
}
\keyword{manip}