glass: EXPMA spectra of glass samples
In mrfDepth: Depth Measures in Multivariate, Regression and Functional Settings
glass R Documentation
EXPMA spectra of glass samples
Description
The glass data set studied by Lemberge et al. (2000) consists of 180 different 16-17th century archeological glass samples. Electron Probe X-ray Microanalysis (EPXMA) intensities across 750 energy levels are recorded using a Jeol JSM 6300 scanning electron microscope equipped with an energy-dispersive Si(Li) X-ray detection system (SEM-EDX).
Usage
data(glass)
Format
A three-dimensional t = 750 by n = 180 by p = 1 array.
Source
Lemberge P., De Raedt I., Janssens K.H., Wei F., Van Espen P.J. (2000).
Quantitative Z-analysis of 16th-17th century archaeological glass vessels using
PLS regression of EPXMA and \mu-XRF data. Journal of Chemometrics, 14,
751–763.
References
Hubert M., Rousseeuw P.J., Vanden Branden K. (2005).
ROBPCA: a new approach to robust principal component analysis.
Technometrics, 47, 64–79.
Examples
data(glass)
matplot(glass[,,1], type = "l", lty = 1, col = "black")
mrfDepth documentation built on May 29, 2024, 5:04 a.m.
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| glass | R Documentation |
EXPMA spectra of glass samples
Description
The glass data set studied by Lemberge et al. (2000) consists of 180 different 16-17th century archeological glass samples. Electron Probe X-ray Microanalysis (EPXMA) intensities across 750 energy levels are recorded using a Jeol JSM 6300 scanning electron microscope equipped with an energy-dispersive Si(Li) X-ray detection system (SEM-EDX).
Usage
data(glass)Format
A three-dimensional t = 750 by n = 180 by p = 1 array.
Source
Lemberge P., De Raedt I., Janssens K.H., Wei F., Van Espen P.J. (2000).
Quantitative Z-analysis of 16th-17th century archaeological glass vessels using
PLS regression of EPXMA and \mu-XRF data. Journal of Chemometrics, 14,
751–763.
References
Hubert M., Rousseeuw P.J., Vanden Branden K. (2005). ROBPCA: a new approach to robust principal component analysis. Technometrics, 47, 64–79.
Examples
data(glass)
matplot(glass[,,1], type = "l", lty = 1, col = "black")
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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