rankColumns: Rank columns in a dataset

In cTRAP: Identification of candidate causal perturbations from differential gene expression data

Description

Rank columns in a dataset

Usage

rankColumns(table, rankingInfo, rankByAscending = TRUE, sort = FALSE)

Arguments

table	Data table: data; first column must be identifiers
rankingInfo	Data table: boolean values of which rows to rank based on columns (column names to be ranked must exactly match those available in argument table); first column must be identifiers
rankByAscending	Boolean: rank values based on their ascending (TRUE) or descending (FALSE) order?
sort	Boolean: sort data based on rank product's rank (if multiple methods are available) or by available ranks

Details

The rank product's rank is calculated if more than one method is ranked.

Value

Data table with the contents of table and extra columns with respective rankings

Note

The first column of data and rankingInfo must contain common identifiers.

cTRAP documentation built on Nov. 8, 2020, 10:58 p.m.