\HeaderA{"FCSsummary-class"}{Class "FCSsummary" Summary object for a "FCS-class"}{"FCSsummary.Rdash.class"}
\aliasA{"print-methods",FCSsummary-method}{"FCSsummary-class"}{"print.Rdash.methods",FCSsummary.Rdash.method}
\aliasA{"show-methods",FCSsummary-method}{"FCSsummary-class"}{"show.Rdash.methods",FCSsummary.Rdash.method}
\aliasA{FCSsummary}{"FCSsummary-class"}{FCSsummary}
\aliasA{FCSsummary-class}{"FCSsummary-class"}{FCSsummary.Rdash.class}
\aliasA{print,FCSsummary-method}{"FCSsummary-class"}{print,FCSsummary.Rdash.method}
\aliasA{print-methods,FCSsummary-method}{"FCSsummary-class"}{print.Rdash.methods,FCSsummary.Rdash.method}
\aliasA{show,FCSsummary-method}{"FCSsummary-class"}{show,FCSsummary.Rdash.method}
\aliasA{show-methods,FCSsummary-method}{"FCSsummary-class"}{show.Rdash.methods,FCSsummary.Rdash.method}
\keyword{classes}{"FCSsummary-class"}
\begin{Description}\relax
The data summary statistics along with metadata output help
summarize a "FCS-class" object using the "summary" method.
\end{Description}
\begin{Section}{Objects from the Class}
Objects can be created by calls of the form \code{new("FCSsummary", ...)}.
\end{Section}
\begin{Section}{Slots}
\describe{
\item[\code{num.cells}:] Object of class \code{"numeric"} the number
of cells or rows from the data
\item[\code{num.param}:] Object of class \code{"numeric"} the number
of parameters or columns from the data
\item[\code{univariate.stat}:] Object of class \code{"matrix"}
five-number summary including the standard deviation of all the
column variables 
\item[\code{metadata.info}:] Object of class \code{"list"} with
the following slots: "Description", "ColumnParametersSummary", and "fcsinfoNames". 
}
\end{Section}
\begin{Section}{Methods}
\describe{
\item["print-methods"] \code{signature(x = "FCSsummary")}: prints the output
of the summary statistics of the data and the metadata
\item["show-methods"] \code{signature(object = "FCSsummary")}: same as "print"
}
\end{Section}
\begin{Author}\relax
A.J. Rossini, J.Y. Wan, and Zoe Moodie
\end{Author}
\begin{References}\relax
Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The
Elements of Statistical Learning: Data Mining, Inference, and
Prediction. Springer Series in Statistics : New York, 2001. pp.279-283.

Jerome H. Friedman and Nicholas I. Fisher. Bump Hunting in
High-Dimensional Data. Tech Report. October 28, 1998.

J. Paul Robinson, et al. Current Protocols in Cytometry.  John Wiley
\& Sons, Inc : 2001.

Mario Roederer and Richard R. Hardy. Frequency Difference Gating: A
Multivariate Method for Identifying Subsets that Differe between
Samples. Cytometry, 45:56-64, 2001.

Mario Roederer and Adam Treister and Wayne Moore and Leonore
A. Herzenberg. Probability Binning Comparison: A Metric for
Quantitating Univariate Distribution Differences. Cytometry, 45:37-46,
2001.

Keith A. Baggerly. Probability Binning and Testing Agreement between
Multivariate Immunofluorescence Histograms: Extending the Chi-Squared
Test. Cytometry, 45:141-150, 2001.
\end{References}
\begin{SeeAlso}\relax
\code{\LinkA{"FCS-class"}{"FCS.Rdash.class"}},
\code{\LinkA{"show-methods"}{"show.Rdash.methods"}},
\code{\LinkA{"print-methods"}{"print.Rdash.methods"}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
default.sum<-new("FCSsummary")

## show, print
default.sum

\end{ExampleCode}
\end{Examples}

