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chemometrics (version 0.5)

Multivariate Statistical Analysis in Chemometrics

Description

This package is the 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

15,004

Version

0.5

License

GPL (>= 3)

Maintainer

P. Filzmoser

Last Published

November 8th, 2009

Functions in chemometrics (0.5)

Draws ellipses according to Mahalanobis distances

Plot predictions from repeated DCV

Neural network evaluation by CV

additive logratio transformation

Stepwise regression

Plot Lasso coefficients

Phenyl data set

Component plot for repeated DCV

Diagnostics plot for PCA

Data from cereals

Repeated Cross Validation for lm

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).

Support Vector Machine evaluation by CV

glass vessels data

CV for Lasso regression

centered logratio transformation

compute and plot cluster validity

Eigenvector algorithm for PLS

PCA calculation with the NIPALS algorithm

Classification tree evaluation by CV

Plots classical and robust Mahalanobis distances

kNN evaluation by CV

Plot residuals from repeated DCV

Repeated double-cross-validation for robust PLS

PCA diagnostics for variables

Plot results of Ridge regression

Plot SOM results

Repeated CV for Ridge regression

Determine the number of PCA components with repeated cross validation

Plot SEP from repeated DCV

isometric logratio transformation

GC retention indices

glass types of the glass data

Hyptis data set

Plot results from robust PLS

Repeated double-cross-validation for PLS and PCR

Cross-validation for robust PLS