|
Error functions for classification and regression
● Data Source:
CranContrib
● Keywords: manip
● Alias: Error, err.rate, rms
●
0 images
|
Function to identify local maxima in a vector, typically a spectrum or a chromatogram.
● Data Source:
CranContrib
● Keywords: manip
● Alias: pick.peaks
●
1 images
|
|
The Adjusted Rand Index is a measure of similarity for two groupings or clusterings. A value of 1 indicates total agreement.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: AdjRkl
●
0 images
|
MCR
(Package: ChemometricsWithR) :
Functions for Multivariate Curve Resolution
Multivariate Curve Resolution, or MCR, decomposes a bilinear matrix into its pure components. A classical example is a matrix consisting of a series of spectral measurements on a mixture of chemicals for following the reaction. At every time point, a spectrum is measured that is a linear combination of the pure spectra. The goal of MCR is to resolve the pure spectra and concentration profiles over time.
● Data Source:
CranContrib
● Keywords: manip
● Alias: MCR, efa, opa
●
6 images
|
Evaluation
(Package: ChemometricsWithR) :
Evaluation function examples for SA- or GA-based variable
Two examples of functions that can be used in variable selection for classification. The outcome of these functions should be maximized by the optimization.
● Data Source:
CranContrib
● Keywords: optimize
● Alias: Evaluation, lda.loofun, pls.cvfun
●
0 images
|
gini
(Package: ChemometricsWithR) :
Gini impurity index for cart objects
A simple implementation of the Gini impurity index for classification and regression trees. Not meant to be called directly - included for demonstration purposes.
● Data Source:
CranContrib
● Keywords: manip
● Alias: gini
●
0 images
|
PCA
(Package: ChemometricsWithR) :
Principal Component Analysis
Functions for PCA: creating a PCA object, extracting variances, scores and loadings for individual PCs, projecting new data in the PC space, and reconstruction using a limited number of PCs.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: PCA, loadings.PCA, project, reconstruct, scores.PCA, summary.PCA, variances
●
0 images
|
SA
(Package: ChemometricsWithR) :
Simulated Annealing for variable selection in classification
A set of functions implementing simple variable selection in classification applications using simulated annealing
● Data Source:
CranContrib
● Keywords: optimize
● Alias: SA, SAfun, SAfun2, SAstep
●
0 images
|
Package containing scripts and functions from the book "Chemometrics with R - Multivariate Data Analysis in the Natural Sciences and Life Sciences", by Ron Wehrens. All R code in the book is available in demos: typing demo(chapter2) will run the examples from the second chapter. A list of errata can be found in the inst directory of the installed package.
● Data Source:
CranContrib
● Keywords: package
● Alias: ChemometricsWithR, ChemometricsWithR-package
●
0 images
|
unsigned.range
(Package: ChemometricsWithR) :
Unsigned range of the data vector including zero.
Function returning the range of the data where, if necessary, the range is extended to include zero. Not meant to be called directly by the user.
● Data Source:
CranContrib
● Keywords: misc
● Alias: unsigned.range
●
0 images
|
providing 
.