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.
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. | |
Nishith Kumar
Maintainer: Nishith Kumar <nk.bru09@gmail.com>
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