\name{segTable-methods}
\alias{segTable-methods}
\alias{segTable}
\title{Convert Rle objects to tables of segments...}
\description{Convert Rle objects to tables of segments}
\details{Like the inverse of segs2Rle and segs2RleDataFrame. Takes a
Rle or a DataFrame with Rle
columns and the locData RangedData both from a GenoSet object
and make a list of data.frames each like the result of CBS's
segment.  Note the loc.start and loc.stop will correspond
exactly to probe locations in locData and the input to
segs2RleDataFrame are not necessarily so.}
\value{one or a list of data.frames with columns ID, chrom, loc.start, loc.end, num.mark, seg.mean}
\author{Peter M. Haverty}
\arguments{\item{object}{Rle or list/DataFrame of Rle vectors}
\item{locs}{RangedData with rows corresponding to rows of df}
\item{sample.name}{character for single Rle optionally include "ID" column with this sample name}
}
\examples{data(genoset)
seg.list = runCBS( lrr(baf.ds), locData(baf.ds), return.segs=TRUE )
df = segs2RleDataFrame( seg.list, locData(baf.ds) )  # Loop segs2Rle on list of data.frames in seg.list
assayDataElement( baf.ds, "lrr.segs" ) = df
segTable( df, locData(baf.ds) )
segTable( assayDataElement(baf.ds,"lrr.segs"), locData(baf.ds) )
segTable( assayDataElement(baf.ds,"lrr.segs")[,1], locData(baf.ds), sampleNames(baf.ds)[1] )}