1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
|
% file MASS/immer.d
% copyright (C) 1994-9 W. N. Venables and B. D. Ripley
%
\name{immer}
\alias{immer}
\title{
Yields from a Barley Field Trial
}
\description{
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.
}
\usage{
immer
}
\format{
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
}}}
\source{
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.
}
\references{
Venables, W. N. and Ripley, B. D. (1999)
\emph{Modern Applied Statistics with S-PLUS.} Third
Edition. Springer.
}
\examples{
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")
}
\keyword{datasets}
|
