normdata-class

A list containing the following components:

Metabolomics data are inevitably subject to a component of unwanted variation, due to factors such as batch effects, matrix effects, and confounding biological variation. This package contains a collection of R functions which can be used to remove unwanted variation and obtain normalized metabolomics data.

Alysha De Livera

MetNorm

Statistical Methods for Normalizing Metabolomics Data

normdata-class function

<dl>
      <dt><code>unadjY</code></dt><dd>The unadjusted data matrix</dd> <dt><code>newY</code></dt><dd>The normalized data matrix).</dd> <dt><code>UVcomp</code></dt><dd>The removed unwanted variation component</dd> <dt><code>ctl</code></dt><dd>A logical vector indicating the controls used in the model</dd> <dt><code>k</code></dt><dd>The number of factors of unwanted variation</dd> <dt><code>lambda</code></dt><dd>The regularization parameter</dd> </dl> 

normdata-class: Normalized data -class

Description

Arguments

Slots/Components