NIR: The chemometrics near-infrared (NIR) data set

Description Usage Format References Examples

Description

The chemometrics near-infrared (NIR) data set has 202 observations and 2801 variables: 2800 near-infrared wavelength measures and 1 class variable. The data were obtained from the analysis of three types of textiles. The data set was first introduce in Devos et al. (2009) <doi:10.1016/j.chemolab.2008.11.005>.

Usage

1
data("velibCount")

Format

A data frame with 202 observations and 2801 variables. The first variable indicates the class-memberships of the observations.

References

Devos, O., Ruckebusch, C., Durand, A., Duponchel, L., and Huvenne, J.-P., Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation, Chemometrics and Intelligent Laboratory Systems, 96, 27–33, 2009 <doi:10.1016/j.chemolab.2008.11.005>.

Examples

1
2
data(NIR)
matplot(t(NIR[,-1]),type='l',col=NIR[,1])

Example output

Loading required package: mclust
Package 'mclust' version 5.4.7
Type 'citation("mclust")' for citing this R package in publications.
Loading required package: Rmixmod
Loading required package: Rcpp
Rmixmod v. 2.1.5 / URI: www.mixmod.org
Loading required package: MASS
Loading required package: mvtnorm

Attaching package:mvtnormThe following object is masked frompackage:mclust:

    dmvnorm

MBCbook documentation built on July 2, 2019, 9:08 a.m.