mrfDepth (version 1.0.12)

plane: Fighter plane dataset

Description

The fighter plane dataset of Thakoor and Gao (2005) describes 7 shapes: of the Mirage, Eurofighter, F-14 with wings closed, F-14 with wings opened, Harrier, F-22 and F-15. Each class contains 30 shape samples obtained from digital pictures, which Thakoor and Gao (2005) then reduced to the univariate functions.

Usage

data("plane")

Format

A list of arrays corresponding to each plane. For each plane, a three-dimensional \(t\) by \(n\) by \(p = 1\) array is available. The index \(t\) corresponds to the different points of measurement, the index \(n\) to the different observation.

Details

When using this data set please cite both Thakoor et al. (2005) and Hubert et al. (2017).

References

Hubert M., Rousseeuw P.J., Segaert P. (2017). Multivariate and functional classification using depth and distance. Advances in Data Analysis and Classification, 11(3), 445-466.

Examples

# NOT RUN {
data(plane)
par(mfrow = c(2,1))
matplot(y = plane$plane1[,,1],
        type ="l",col = "black", lty = 1, xlab = "", ylab="x-coordinate", main = "plane 1")
matplot(y = plane$plane2[,,1],
        type ="l",col = "black", lty = 1, xlab = "", ylab="x-coordinate", main = "plane 2")
par(mfrow = c(1,1))
# }