wine: Proton Nuclear Magnetic Resonance spectra of 40 different...
In mrfDepth: Depth Measures in Multivariate, Regression and Functional Settings
wine R Documentation
Proton Nuclear Magnetic Resonance spectra of 40 different wine samples
Description
The original data set consists of Proton Nuclear Magnetic Resonance (NMR) spectra of 40 different wine samples in the spectral region from 6.00ppm to 0.50ppm. This data set corresponds to the region between wavelengths 5.62ppm and 5.37ppm only for which t = 397 measurements are available for each curve. The data has been analyzed in Hubert et al. (2015), see below.
Usage
data(wine)
Format
A three dimensional t = 397 by n = 40 by p = 1 array,
with t the number of observed time points,
n the number of functional observations
and p the number of measurements
for every functional observation at every wavelength.
Details
When using this data set, please cite both of the references below.
Source
Larsen F., van den Berg F., Engelsen S. (2006). An exploratory chemometric study of NMR spectra of table wines. Journal of Chemometrics, 20, 198–208.
References
Hubert M., Rousseeuw P.J., Segaert P. (2015). Multivariate functional outlier detection (with rejoinder). Statistical Methods & Applications, 24, 177–202.
Examples
data(wine)
matplot(wine[,,1], type = "l", lty = 1, col = "black")
mrfDepth documentation built on May 29, 2024, 5:04 a.m.
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| wine | R Documentation |
Proton Nuclear Magnetic Resonance spectra of 40 different wine samples
Description
The original data set consists of Proton Nuclear Magnetic Resonance (NMR) spectra of 40 different wine samples in the spectral region from 6.00ppm to 0.50ppm. This data set corresponds to the region between wavelengths 5.62ppm and 5.37ppm only for which t = 397 measurements are available for each curve. The data has been analyzed in Hubert et al. (2015), see below.
Usage
data(wine)Format
A three dimensional t = 397 by n = 40 by p = 1 array,
with t the number of observed time points,
n the number of functional observations
and p the number of measurements
for every functional observation at every wavelength.
Details
When using this data set, please cite both of the references below.
Source
Larsen F., van den Berg F., Engelsen S. (2006). An exploratory chemometric study of NMR spectra of table wines. Journal of Chemometrics, 20, 198–208.
References
Hubert M., Rousseeuw P.J., Segaert P. (2015). Multivariate functional outlier detection (with rejoinder). Statistical Methods & Applications, 24, 177–202.
Examples
data(wine)
matplot(wine[,,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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