nor.relative

A function to calculate parameters for relative normalization.

An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.

Hengyu Zhu

LipidomicsR

Elegant Tools for Processing and Visualization of Lipidomics
Data

Mingshi Li

nor.relative function

<dl><dt>data</dt>
<dd>Data frame, row lipidomics data.</dd>
<dt>Inlabel</dt>
<dd>Vector. Name of Internal label. Default as c('PE(17:0/17:0)','PC(17:0/17:0)','PS(14:0/14:0)')</dd>
<dt>normalize_to</dt>
<dd>Vector. The column of samples that used as the standard for normalization.</dd>
<dt>relative_as_default</dt>
<dd>Logical, default as TRUE for automatically searching for internal label data.</dd>
<dt>relative.mannual</dt>
<dd>Vector, the exact channel name (if you want to define the channel of internal label mannually).</dd></dl>

Arguments

nor.relative() — nor.relative

<dl>

<dt>data</dt>
<dd>Data frame, row lipidomics data.</dd>


<dt>Inlabel</dt>
<dd>Vector. Name of Internal label. Default as c('PE(17:0/17:0)','PC(17:0/17:0)','PS(14:0/14:0)')</dd>


<dt>normalize_to</dt>
<dd>Vector. The column of samples that used as the standard for normalization.</dd>


<dt>relative_as_default</dt>
<dd>Logical, default as TRUE for automatically searching for internal label data.</dd>


<dt>relative.mannual</dt>
<dd>Vector, the exact channel name (if you want to define the channel of internal label mannually).</dd>

</dl>

nor.relative: nor.relative()

Description

Usage

Value

Arguments