\name{plotEvalIc}
\alias{plotEvalIc}
\title{Creates a plot with known regions and a numeric vector}
\usage{
  plotEvalIc(object, segments, chrom, variable, ylim, ylab
  = "CN indicator", stripCol = "lightgray", regionCol =
  rgb(130, 0, 139, max = 255), pointSize = 0.75, pointType
  = 4, bandwidth = c(0.01, 1000), nbin = 100)
}
\arguments{
  \item{object}{an instance of
  \code{\link[Biobase:ExpressionSet-class]{ExpressionSet}}}

  \item{segments}{A data.frame with known regions.}

  \item{chrom}{the chromosome.}

  \item{variable}{The numeric vector which should be
  plotted.}

  \item{ylim}{the limits of the y axis.}

  \item{ylab}{the ylab from function par.}

  \item{stripCol}{color of points.}

  \item{regionCol}{color of regions.}

  \item{pointSize}{size of the points.}

  \item{pointType}{type of the points.}

  \item{bandwidth}{for the color of the plot.}

  \item{nbin}{number of bins for the coloring.}
}
\value{
  Some data
}
\description{
  Creates a plot with known regions and a numeric vector
}
\examples{
load(system.file("exampleData/slData.RData", package="cn.farms"))
load(system.file("exampleData/testSegments.RData", package="cn.farms"))
plotEvalIc(slData, featureData(testSegments)@data,
variable=assayData(slData)$L_z[, 1], 23)
}
\author{
  Andreas Mitterecker
}