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]

chemometrics_1.4.4.tar.gz
chemometrics_1.4.4.zip(r-4.7-any)chemometrics_1.4.4.zip(r-4.6-any)chemometrics_1.4.4.zip(r-4.5-any)
chemometrics_1.4.4.tgz(r-4.6-any)chemometrics_1.4.4.tgz(r-4.5-any)
chemometrics_1.4.4.tar.gz(r-4.7-any)chemometrics_1.4.4.tar.gz(r-4.6-any)
chemometrics_1.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
chemometrics/json (API)

# Install 'chemometrics' in R:

install.packages('chemometrics', repos = c('https://filzmoserp.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

ash - Ash data
cereal - Data from cereals
glass - Glass vessels data
glass.grp - Glass types of the glass data
hyptis - Hyptis data set
NIR - NIR data
PAC - GC retention indices
Phenyl - Phenyl data set

On CRAN:

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

6.99 score 4 stars 4 packages 287 scripts 7.2k downloads 12 mentions 40 exports 14 dependencies

Last updated from:5d3d7f7632. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	132
source / vignettes	OK	519
linux-release	OK	122
macos-release	OK	123
macos-oldrel	OK	118
windows-devel	OK	109
windows-release	OK	105
windows-oldrel	OK	87
wasm-release	OK	89

Exports:alr clr clvalidity delintercept drawMahal ilr knnEval lassocoef lassoCV lmCV Moutlier mvr_dcv nipals nnetEval pcaCV pcaDiagplot pcaVarexpl plotcompmvr plotcompprm plotpredmvr plotpredprm plotprm plotresmvr plotresprm plotRidge plotSEPmvr plotSEPprm plotsom pls_eigen pls1_nipals pls2_nipals prm prm_cv prm_dcv ridgeCV RPvectors sd_trim stepwise svmEval treeEval

Dependencies:class DEoptimR e1071 lars MASS mclust mvtnorm nnet pcaPP pls proxy robustbase rpart som

Multivariate Statistical Analysis using 'chemometrics'

Rendered fromchemometrics-vignette.rnwusingutils::Sweave

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

Citation

Readme and manuals

Help Manual

Help page	Topics
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 transformation	alr
ash data	ash
Data from cereals	cereal
centered logratio transformation	clr
compute and plot cluster validity	clvalidity
Delete intercept from model matrix	delintercept
Draws ellipses according to Mahalanobis distances	drawMahal
glass vessels data	glass
glass types of the glass data	glass.grp
Hyptis data set	hyptis
isometric logratio transformation	ilr
kNN evaluation by CV	knnEval
Plot Lasso coefficients	lassocoef
CV for Lasso regression	lassoCV
Repeated Cross Validation for lm	lmCV
Plots classical and robust Mahalanobis distances	Moutlier
Repeated double-cross-validation for PLS and PCR	mvr_dcv
PCA calculation with the NIPALS algorithm	nipals
NIR data	NIR
Neural network evaluation by CV	nnetEval
GC retention indices	PAC
Determine the number of PCA components with repeated cross validation	pcaCV
Diagnostics plot for PCA	pcaDiagplot
PCA diagnostics for variables	pcaVarexpl
Phenyl data set	Phenyl
Component plot for repeated DCV	plotcompmvr
Component plot for repeated DCV of PRM	plotcompprm
Plot predictions from repeated DCV	plotpredmvr
Plot predictions from repeated DCV of PRM	plotpredprm
Plot results from robust PLS	plotprm
Plot residuals from repeated DCV	plotresmvr
Plot residuals from repeated DCV of PRM	plotresprm
Plot results of Ridge regression	plotRidge
Plot SEP from repeated DCV	plotSEPmvr
Plot trimmed SEP from repeated DCV of PRM	plotSEPprm
Plot SOM results	plotsom
Eigenvector algorithm for PLS	pls_eigen
PLS1 by NIPALS	pls1_nipals
PLS2 by NIPALS	pls2_nipals
Robust PLS	prm
Cross-validation for robust PLS	prm_cv
Repeated double-cross-validation for robust PLS	prm_dcv
Repeated CV for Ridge regression	ridgeCV
Generating random projection directions	RPvectors
Trimmed standard deviation	sd_trim
Stepwise regression	stepwise
Support Vector Machine evaluation by CV	svmEval
Classification tree evaluation by CV	treeEval

Package: chemometrics 1.4.4

chemometrics: Multivariate Statistical Analysis in Chemometrics

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)