Learn R Programming

ChemometricsWithR (version 0.1.13)

Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences

Description

Functions and scripts used in the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences" by Ron Wehrens, Springer (2011). Data used in the package are available from github.

Copy Link

Version

Install

install.packages('ChemometricsWithR')

Monthly Downloads

97

Version

0.1.13

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

4

Forks

6

Maintainer

Ron Wehrens

Last Published

January 7th, 2019

Functions in ChemometricsWithR (0.1.13)

installChemometricsWithRData

Installation of ChemometricsWithRData
gini

Gini impurity index for cart objects
unsigned.range

Unsigned range of the data vector including zero.
pick.peaks

Peak-picking function.
PCA

Principal Component Analysis
AdjRkl

Adjusted Rand Index
GA

Genetic Algorithms for variable selection in classification
SA

Simulated Annealing for variable selection in classification
MCR

Functions for Multivariate Curve Resolution
ChemometricsWithR-package

ChemometricsWithR
PCA.plot

Principal Component Analysis plotting functions
Evaluation

Evaluation function examples for SA- or GA-based variable selection in classification applications.
Error

Often-used error functions