Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences

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Documentation for package ‘ChemometricsWithR’ version 0.1.9

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ChemometricsWithR-package Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences
AdjRkl Adjusted Rand Index
biplot.PCA Principal Component Analysis plotting functions
ChemometricsWithR Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences
efa Functions for Multivariate Curve Resolution
err.rate Often-used error functions
Error Often-used error functions
Evaluation Evaluation function examples for SA- or GA-based variable selection in classification applications.
GA Genetic Algorithms for variable selection in classification
GA.init.pop Genetic Algorithms for variable selection in classification
GA.mut Genetic Algorithms for variable selection in classification
GA.select Genetic Algorithms for variable selection in classification
GA.XO Genetic Algorithms for variable selection in classification
GAfun Genetic Algorithms for variable selection in classification
GAfun2 Genetic Algorithms for variable selection in classification
gini Gini impurity index for cart objects
lda.loofun Evaluation function examples for SA- or GA-based variable selection in classification applications.
loadingplot Principal Component Analysis plotting functions
loadingplot.PCA Principal Component Analysis plotting functions
loadings.PCA Principal Component Analysis
MCR Functions for Multivariate Curve Resolution
mcr Functions for Multivariate Curve Resolution
opa Functions for Multivariate Curve Resolution
PCA Principal Component Analysis
pick.peaks Peak-picking function.
plot.PCA Principal Component Analysis plotting functions
pls.cvfun Evaluation function examples for SA- or GA-based variable selection in classification applications.
project Principal Component Analysis
reconstruct Principal Component Analysis
rms Often-used error functions
SA Simulated Annealing for variable selection in classification
SAfun Simulated Annealing for variable selection in classification
SAfun2 Simulated Annealing for variable selection in classification
SAstep Simulated Annealing for variable selection in classification
scoreplot Principal Component Analysis plotting functions
scoreplot.PCA Principal Component Analysis plotting functions
scores.PCA Principal Component Analysis
screeplot Principal Component Analysis plotting functions
summary.PCA Principal Component Analysis
unsigned.range Unsigned range of the data vector including zero.
variances Principal Component Analysis