Glass: Glass data

In rospca: Robust Sparse PCA using the ROSPCA Algorithm

Description

Glass data of Lemberge et al. (2000) containing Electron Probe X-ray Microanalysis (EPXMA) intensities for different wavelengths of 16–17th century archaeological glass vessels. This dataset was also used in Hubert et al. (2005).

Usage

data(Glass)

Format

A data frame with 180 observations and 750 variables. These variables correspond to EPXMA intensities for different wavelengths and are indicated by V1, V2, ..., V750.

Source

Lemberge, P., De Raedt, I., Janssens, K. H., Wei, F., and Van Espen, P. J. (2000), “Quantitative Z-Analysis of the 16–17th Century Archaelogical Glass Vessels using PLS Regression of EPXMA and μ-XRF Data," Journal of Chemometrics, 14, 751–763.

References

Hubert, M., Rousseeuw, P. J., and Vanden Branden, K. (2005), “ROBPCA: A New Approach to Robust Principal Component Analysis,” Technometrics, 47, 64–79.

Examples

data(Glass)

res <- robpca(Glass, k=4, alpha=0.5)
matplot(res$loadings, type="l", lty=1)

Example output

rospca documentation built on May 2, 2019, 1:42 p.m.