characterA: Writing trajectories of the letter 'a'

In mrfDepth: Depth Measures in Multivariate, Regression and Functional Settings

Writing trajectories of the letter 'a'

Description

Subset of the 'Character Trajectories Data Set' from the UCI Machine Learning Repository. The data set consists of trajectories of the tip of a pen whilst writing the letter 'a'. All samples are from the same writer. Original data has been processed.

Usage

data(characterA)

Format

Three dimensional array. The first dimension represents time. The second dimension corresponds to the observation number. The third dimension contains the X and Y coordinates.

Source

Bache K., Lichman M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

References

Williams B.H., Toussaint M., Storkey A.J. (2006). Extracting motion primitives from natural handwriting data. In ICANN, volume 2, pages 634–643.

Hubert M., Rousseeuw P.J., Segaert P. (2015). Multivariate functional outlier detection (with rejoinder). Statistical Methods & Applications, 24, 177–202.

Examples

data(characterA)
par(mfrow = c(1,2))
matplot(y = characterA[,,1],
        type = "l", col = "black", lty = 1, 
        xlab = "Time", ylab = "X position of the pen")
matplot(y = characterA[,,2],
        type = "l", col = "black", lty = 1, 
        xlab = "Time", ylab = "Y position of the pen")
par(mfrow = c(1,1))

mrfDepth documentation built on May 29, 2024, 5:04 a.m.