Package: chemometrics 1.4.4

chemometrics: Multivariate Statistical Analysis in Chemometrics

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

Authors:Peter Filzmoser [aut, cre, cph]

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chemometrics.pdf |chemometrics.html✨
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# Install 'chemometrics' in R:
install.packages('chemometrics', repos = c('https://filzmoserp.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.59 score 4 stars 4 packages 213 scripts 3.8k downloads 12 mentions 40 exports 14 dependencies

Last updated 1 years agofrom:5d3d7f7632. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:alrclrclvaliditydelinterceptdrawMahalilrknnEvallassocoeflassoCVlmCVMoutliermvr_dcvnipalsnnetEvalpcaCVpcaDiagplotpcaVarexplplotcompmvrplotcompprmplotpredmvrplotpredprmplotprmplotresmvrplotresprmplotRidgeplotSEPmvrplotSEPprmplotsompls_eigenpls1_nipalspls2_nipalsprmprm_cvprm_dcvridgeCVRPvectorssd_trimstepwisesvmEvaltreeEval

Dependencies:classDEoptimRe1071larsMASSmclustmvtnormnnetpcaPPplsproxyrobustbaserpartsom

Multivariate Statistical Analysis using 'chemometrics'

Rendered fromchemometrics-vignette.rnwusingutils::Sweaveon Oct 31 2024.

Last update: 2014-01-13
Started: 2011-11-07

Readme and manuals

Help Manual

Help pageTopics
This package is the R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).chemometrics-package chemometrics
additive logratio transformationalr
ash dataash
Data from cerealscereal
centered logratio transformationclr
compute and plot cluster validityclvalidity
Delete intercept from model matrixdelintercept
Draws ellipses according to Mahalanobis distancesdrawMahal
glass vessels dataglass
glass types of the glass dataglass.grp
Hyptis data sethyptis
isometric logratio transformationilr
kNN evaluation by CVknnEval
Plot Lasso coefficientslassocoef
CV for Lasso regressionlassoCV
Repeated Cross Validation for lmlmCV
Plots classical and robust Mahalanobis distancesMoutlier
Repeated double-cross-validation for PLS and PCRmvr_dcv
PCA calculation with the NIPALS algorithmnipals
NIR dataNIR
Neural network evaluation by CVnnetEval
GC retention indicesPAC
Determine the number of PCA components with repeated cross validationpcaCV
Diagnostics plot for PCApcaDiagplot
PCA diagnostics for variablespcaVarexpl
Phenyl data setPhenyl
Component plot for repeated DCVplotcompmvr
Component plot for repeated DCV of PRMplotcompprm
Plot predictions from repeated DCVplotpredmvr
Plot predictions from repeated DCV of PRMplotpredprm
Plot results from robust PLSplotprm
Plot residuals from repeated DCVplotresmvr
Plot residuals from repeated DCV of PRMplotresprm
Plot results of Ridge regressionplotRidge
Plot SEP from repeated DCVplotSEPmvr
Plot trimmed SEP from repeated DCV of PRMplotSEPprm
Plot SOM resultsplotsom
Eigenvector algorithm for PLSpls_eigen
PLS1 by NIPALSpls1_nipals
PLS2 by NIPALSpls2_nipals
Robust PLSprm
Cross-validation for robust PLSprm_cv
Repeated double-cross-validation for robust PLSprm_dcv
Repeated CV for Ridge regressionridgeCV
Generating random projection directionsRPvectors
Trimmed standard deviationsd_trim
Stepwise regressionstepwise
Support Vector Machine evaluation by CVsvmEval
Classification tree evaluation by CVtreeEval