\HeaderA{immer}{Yields from a Barley Field Trial}{immer}
\keyword{datasets}{immer}
\begin{Description}\relax
The \code{immer} data frame has 30 rows and 4 columns.  Five varieties of
barley were grown in six locations in each of 1931 and
1932.
\end{Description}
\begin{Usage}
\begin{verbatim}
immer
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{Loc}] The location.

\item[\code{Var}] The variety of barley (\code{"manchuria"}, \code{"svansota"}, \code{"velvet"},
\code{"trebi"} and \code{"peatland"}).

\item[\code{Y1}] Yield in 1931

\item[\code{Y2}] Yield in 1932
}
\end{Format}
\begin{Source}\relax
Immer, F.R., Hayes, H.D. and LeRoy Powers (1934)
Statistical determination of barley varietal adaptation.
\emph{Journal of the American Society for Agronomy}
\bold{26}, 403--419.

Fisher, R.A. (1947)
\emph{The Design of Experiments.}
4th edition.
Edinburgh: Oliver and Boyd.
\end{Source}
\begin{References}\relax
Venables, W. N. and Ripley, B. D. (1999)
\emph{Modern Applied Statistics with S-PLUS.} Third
Edition. Springer.
\end{References}
\begin{Examples}
\begin{ExampleCode}
immer.aov <- aov(cbind(Y1,Y2) ~ Loc + Var, data = immer)
summary(immer.aov)

immer.aov <- aov((Y1+Y2)/2 ~ Var + Loc, data = immer)
summary(immer.aov)
model.tables(immer.aov, type = "means", se = TRUE, cterms = "Var")
\end{ExampleCode}
\end{Examples}

