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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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Install
install.packages('chemometrics')
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3,886
Version
1.4.4
License
GPL (>= 3)
Maintainer
Peter Filzmoser
Last Published
August 25th, 2023
Functions in chemometrics (1.4.4)
Search functions
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