banknote: Swiss Banknote data
In MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description
Usage
Format
References
Description
The data set contain 6 measures of 100 genuine and 100 counterfeit Swiss franc banknotes.
Usage
1
Format
A data frame with the following variables:
- Status
the status of the banknote: genuine or counterfeit
- Length
Length of bill (mm)
- Left
Width of left edge (mm)
- Right
Width of right edge (mm)
- Bottom
Bottom margin width (mm)
- Top
Top margin width (mm)
- Diagonal
Length of diagonal (mm)
References
Flury, B. and Riedwyl, H. (1988). Multivariate Statistics: A practical approach. London: Chapman & Hall, Tables 1.1 and 1.2, pp. 5-8
MixGHD documentation built on May 2, 2019, 5:49 p.m.
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Description Usage Format References
Description
The data set contain 6 measures of 100 genuine and 100 counterfeit Swiss franc banknotes.
Usage
1 |
Format
A data frame with the following variables:
- Status
the status of the banknote: genuine or counterfeit
- Length
Length of bill (mm)
- Left
Width of left edge (mm)
- Right
Width of right edge (mm)
- Bottom
Bottom margin width (mm)
- Top
Top margin width (mm)
- Diagonal
Length of diagonal (mm)
References
Flury, B. and Riedwyl, H. (1988). Multivariate Statistics: A practical approach. London: Chapman & Hall, Tables 1.1 and 1.2, pp. 5-8
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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