shuttle: Space Shuttle Autolander Problem
In MASS: Support Functions and Datasets for Venables and Ripley's MASS
shuttle R Documentation
Space Shuttle Autolander Problem
Description
The 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 factor columns:
stability-
stable positioning or not (stab / xstab).
error-
size of error (MM / SS / LX / XL).
sign-
sign of error, positive or negative (pp / nn).
wind-
wind sign (head / tail).
magn-
wind strength (Light / Medium / Strong /
Out of Range).
vis-
visibility (yes / no).
use-
use the autolander or not. (auto / noauto.)
Source
D. Michie (1989)
Problems of computer-aided concept formation. In
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)
Modern Applied Statistics with S. Fourth edition. Springer.
MASS documentation built on April 12, 2025, 1:56 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| shuttle | R Documentation |
Space Shuttle Autolander Problem
Description
The 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 factor columns:
stability-
stable positioning or not (
stab/xstab). error-
size of error (
MM/SS/LX/XL). sign-
sign of error, positive or negative (
pp/nn). wind-
wind sign (
head/tail). magn-
wind strength (
Light/Medium/Strong/Out of Range). vis-
visibility (
yes/no). use-
use the autolander or not. (
auto/noauto.)
Source
D. Michie (1989) Problems of computer-aided concept formation. In 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) Modern Applied Statistics with S. Fourth edition. Springer.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.