Rvolcano-package: Robust Volcano Plot for Identifying Influential Metabolites...

In nishithkumarpaul/Rvolcano: Robust Volcano Plot: Identification of Influential Metabolites in the Presence of Outliers

Description

This package implements a kernel weight based robust volcano plot for identifying influential Metabolites from noisy metabolomics dataset. This method is outlier-robust because the kernel weight function produce very smaller weight for outlying cell of the data matrix.

Details

Package:	Rvolcano
Type:	Package
Version:	1.0
Date:	2018-01-14
License:	GPL
Depends:	R (>=2.10)

Package Rvolcano has the following functions:

weightedMean():	This function calculates the outlier-robust weighted mean using the kernel-weight
	function.
weightedVar():	This function calculates the outlier-robust weighted variance using the kernel-weight
	function.
foldChngCalc():	This function calculates outlier-robust fold change value using the kernel-weight
	function.
p.valcalc():	This function calculates the p-value using the robust version of t-statistic.
RobVolPlot():	This function draws a outlier-robust volcano plot using the robust fold change value
	and robust t-test p-value.

Author(s)

Nishith Kumar
Maintainer: Nishith Kumar <[e-mail]>

nishithkumarpaul/Rvolcano documentation built on May 19, 2019, 10:49 p.m.