dica.wine: Twelve wines from 3 regions in France with 16 attributes.
In ExPosition: Exploratory Analysis with the Singular Value Decomposition
Description
Usage
Format
References
Description
This data should be used for discriminant analyses or analyses where the group information is important.
Usage
1
Format
dica.wine$data: Data matrix with twelve wines (rows) from 3 regions with 16 attributes (columns) in disjunctive (0/1) coding.
dica.wine$design: Design matrix with twelve wines (rows) with 3 regions (columns) to indicate group relationship of the data matrix.
References
Abdi, H. (2007). Discriminant correspondence analysis. In N.J. Salkind (Ed.): Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage. pp. 270-275.
ExPosition documentation built on May 1, 2019, 7:06 p.m.
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Description Usage Format References
Description
This data should be used for discriminant analyses or analyses where the group information is important.
Usage
1 |
Format
dica.wine$data: Data matrix with twelve wines (rows) from 3 regions with 16 attributes (columns) in disjunctive (0/1) coding.
dica.wine$design: Design matrix with twelve wines (rows) with 3 regions (columns) to indicate group relationship of the data matrix.
References
Abdi, H. (2007). Discriminant correspondence analysis. In N.J. Salkind (Ed.): Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage. pp. 270-275.
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.
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