plsDAPara-class

para

value


An S4 class to represent the parameters for PLS-DA analysis


The package provides a integrated pipeline for mass spectrometry-
based metabolomic data analysis. It includes the stages peak detection, data
preprocessing, normalization, missing value imputation, univariate statistical
analysis, multivariate statistical analysis such as PCA and PLS-DA, metabolite
identification, pathway analysis, power analysis, feature selection and
modeling, data quality assessment.

Bo Wen

metaX

An R package for metabolomic data analysis

plsDAPara-class function

<dl>
<dt><code>scale</code></dt><dd>The method used to scale the data, 
see <code><a rd-options="" href="/link/preProcess?package=metaX&version=1.4.0" data-mini-rdoc="metaX::preProcess">preProcess</a></code> in metaX</dd> <dt><code>center</code></dt><dd>A logical which indicates if the matrix should be mean 
centred or not</dd> <dt><code>t</code></dt><dd>The method used to transform the data, 
see <code><a rd-options="" href="/link/transformation?package=metaX&version=1.4.0" data-mini-rdoc="metaX::transformation">transformation</a></code> in metaX</dd> <dt><code>validation</code></dt><dd>The method for validation, default is "CV"</dd> <dt><code>ncomp</code></dt><dd>The number of components used for PLS-DA, default is 2</dd> <dt><code>nperm</code></dt><dd>The number of permutations, default is 200</dd> <dt><code>kfold</code></dt><dd>The number of folds for cross-validation, default is 7</dd> <dt><code>do</code></dt><dd>A logical which indicates whether to do the plsDA analysis, 
default is TRUE</dd> <dt><code>method</code></dt><dd>The method used in PLS-DA. See <code><a rd-options="" href="/link/plsr?package=metaX&version=1.4.0" data-mini-rdoc="metaX::plsr">plsr</a></code> 
in pls</dd> <dt><code>cpu</code></dt><dd>The number of cpus used, default is all cpus.</dd> </dl>

plsDAPara-class: An S4 class to represent the parameters for PLS-DA analysis

Description

Arguments

Value

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