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
|
% file MASS/shuttle.d
% copyright (C) 1994-9 W. N. Venables and B. D. Ripley
%
\name{shuttle}
\alias{shuttle}
\title{
Space Shuttle Autolander Problem
}
\description{
The \code{shuttle} data frame has 256 rows and 7 columns.
The first six columns are categorical variables giving example
conditions; the seventh is the decision. The first 253 rows are the
training set, the last 3 the test conditions.
}
\usage{
shuttle
}
\format{
This data frame contains the following columns:
\describe{
\item{\code{stability}}{
Stable positioning or not (\code{stab / xstab})
}
\item{\code{error}}{
Size of error (\code{MM / SS / LX / XL})
}
\item{\code{sign}}{
Sign of error, positive or negative (\code{pp / nn})
}
\item{\code{wind}}{
Wind sign (\code{head / tail})
}
\item{\code{magn}}{
Wind strength (\code{Light / Medium / Strong / Out of Range})
}
\item{\code{vis}}{
Visibility (\code{yes / no})
}
\item{\code{use}}{
Use the autolander or not
}}}
\source{
D. Michie (1989)
Problems of computer-aided concept formation. In
\emph{Applications of Expert Systems 2},
ed. J. R. Quinlan, Turing Institute Press / Addison-Wesley, pp. 310--333.
}
\references{
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition. Springer.
}
\keyword{datasets}
|
