\HeaderA{comp.F}{Computing F-statistic for Differential Expression}{comp.F}
\keyword{univar}{comp.F}
\begin{Description}\relax
\code{comp.F} returns a function of one argument with bindings for
\code{L}. This function accepts a microarray data matrix as its single
argment, when evaluated, computes F statistics for each row of the
matrix.
\end{Description}
\begin{Usage}
\begin{verbatim}
comp.F(L = NULL)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{L}] A vector of integers corresponding to observation (column)
class labels. For \eqn{k}{} classes, the labels must be integers
between 0 and \eqn{k-1}{}.

\end{ldescription}
\end{Arguments}
\begin{Value}
\code{comp.F} returns a function with bindings for \code{L},
which calculates and returns of vector of F statistics  for
each row in the data matrix.
\end{Value}
\begin{Author}\relax
Yuanyuan Xiao, \email{yxiao@itsa.ucsf.edu}, \\
Jean Yee Hwa Yang, \email{jean@biostat.ucsf.edu}.
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{comp.FC}{comp.FC}}, \code{\LinkA{comp.t}{comp.t}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}

X <- matrix(rnorm(1000,0,0.5), nc=10)
L <- rep(0:1,c(5,5))

# genes 1-10 are differentially expressed
X[1:10,6:10]<-X[1:10,6:10]+1

# two sample test, unequal variance
F <- comp.F(L)
f.X <- F(X)
\end{ExampleCode}
\end{Examples}

