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chemometrics (version 1.4.4)

Multivariate Statistical Analysis in Chemometrics

Description

R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).

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Version

Install

install.packages('chemometrics')

Monthly Downloads

3,948

Version

1.4.4

License

GPL (>= 3)

Maintainer

Peter Filzmoser

Last Published

August 25th, 2023

Functions in chemometrics (1.4.4)

alr

additive logratio transformation
chemometrics-package

This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
Moutlier

Plots classical and robust Mahalanobis distances
NIR

NIR data
RPvectors

Generating random projection directions
cereal

Data from cereals
ash

ash data
clr

centered logratio transformation
delintercept

Delete intercept from model matrix
glass

glass vessels data
glass.grp

glass types of the glass data
PAC

GC retention indices
lassocoef

Plot Lasso coefficients
Phenyl

Phenyl data set
drawMahal

Draws ellipses according to Mahalanobis distances
lmCV

Repeated Cross Validation for lm
ridgeCV

Repeated CV for Ridge regression
mvr_dcv

Repeated double-cross-validation for PLS and PCR
ilr

isometric logratio transformation
plotcompmvr

Component plot for repeated DCV
lassoCV

CV for Lasso regression
hyptis

Hyptis data set
clvalidity

compute and plot cluster validity
pls1_nipals

PLS1 by NIPALS
nnetEval

Neural network evaluation by CV
plotcompprm

Component plot for repeated DCV of PRM
plotRidge

Plot results of Ridge regression
knnEval

kNN evaluation by CV
nipals

PCA calculation with the NIPALS algorithm
pcaVarexpl

PCA diagnostics for variables
pls2_nipals

PLS2 by NIPALS
prm_cv

Cross-validation for robust PLS
sd_trim

Trimmed standard deviation
plotSEPmvr

Plot SEP from repeated DCV
pls_eigen

Eigenvector algorithm for PLS
prm

Robust PLS
plotpredmvr

Plot predictions from repeated DCV
plotpredprm

Plot predictions from repeated DCV of PRM
prm_dcv

Repeated double-cross-validation for robust PLS
treeEval

Classification tree evaluation by CV
svmEval

Support Vector Machine evaluation by CV
plotprm

Plot results from robust PLS
stepwise

Stepwise regression
plotresmvr

Plot residuals from repeated DCV
pcaDiagplot

Diagnostics plot for PCA
plotSEPprm

Plot trimmed SEP from repeated DCV of PRM
plotresprm

Plot residuals from repeated DCV of PRM
pcaCV

Determine the number of PCA components with repeated cross validation
plotsom

Plot SOM results