cvseg

a factor, character or numeric vector that describes
class membership of a set of items, or, a numeric vector
indicating unique indices of items, or, a numeric of length 1 that
describes the number of items to segment (without any classes)

fold

seed


Get cross-validation segments that have (as far as possible) the
same ratio of all classes (if classes are present)


Provides Bayesian PCA, Probabilistic PCA, Nipals PCA,
Inverse Non-Linear PCA and the conventional SVD PCA. A cluster
based method for missing value estimation is included for
comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA
on incomplete data as well as for accurate missing value
estimation. A set of methods for printing and plotting the
results is also provided. All PCA methods make use of the same
data structure (pcaRes) to provide a common interface to the
PCA results. Initiated at the Max-Planck Institute for
Molecular Plant Physiology, Golm, Germany.

Henning Redestig

pcaMethods

A collection of PCA methods

cvseg function

Get cross-validation segments that have (as far as possible) the
same ratio of all classes (if classes are present)

cvseg: Get CV segments

Description

Usage

Arguments

Value

See Also

Examples