highestSDselector: Select the most variable feature mapping to the same gene.

In msxakk89/dat: Data Analyst Toolkit (dat): a library of tools for data analysts and scientists

Description

This function allows for a selection of most variable feature from a set of features representing the same entity and collapses redundant matrix into non-redundant matrix.

Usage

highestSDselector(df, vectorOfEntities)

Arguments

df	Data frame. Make sure row names are named after the features while the redundant vector (of character type) of the entities that these feature represent is in the first column (i.e. df[,1]).
vectorOfEntities	A non-redundant character vector of the entities we wish to collapse the (rows of) matrix into.

msxakk89/dat documentation built on Aug. 3, 2020, 6:39 p.m.