PLSDA

Xtrain


A factor vector containing the class labels of the samples


Ytrain


A numerical matrix containing the data whose class is to be predicted.


Xtest


Number of components to build the PCA model


ncomp


Number of cross-validation iterations to be performed for the choice of the number of latent components


nruncv


The proportion of Obesrvations to be included in the training set at each cross-validation iteration


alpha


The class priors to be used for linear discriminant analysis. If unspecified, the class proportions in the training set are used.


priors


Function <code>PLSDA</code> performs Fisher's LSD tests on the data using the package plsgenomics


internal

The MAIT package contains functions to perform end-to-end
statistical analysis of LC/MS Metabolomic Data. Special
emphasis is put on peak annotation and in modular function
design of the functions.

Francesc FernandezAlbert

MAIT

Statistical Analysis of Metabolomic Data

PLSDA function

A factor vector containing the class labels of the samples

A numerical matrix containing the data whose class is to be predicted.

Number of components to build the PCA model

Number of cross-validation iterations to be performed for the choice of the number of latent components

The proportion of Obesrvations to be included in the training set at each cross-validation iteration

The class priors to be used for linear discriminant analysis. If unspecified, the class proportions in the training set are used.

Function <code>PLSDA</code> performs Fisher's LSD tests on the data using the package plsgenomics

PLSDA: Applies PLSDA to the provided data

Description

Usage

Arguments

Value