ropls.enrich: Perform FGSEA enrichment.

In JeffreyMolendijk/ml-viewR: Machine learning viewer

Description

'ropls.enrich“ performs FGSEA enrichment on a dataframe containing variables, variable information and variable scores. The input of the function is a dataframe with a variable column, one or multiple columns containing variable information and scores. The variable column may contain non-unique names, but will be filtered for distinct entries. The variable information may be one or multiple columns, and can be selected using the filterset variable.

Usage

ropls.enrich(var, var.name, value.name, filterset = FALSE)

Arguments

var	data frame containing a variable column, at least one variable information column, and a score column (e.g. p-value, fold-change, OPLS-DA loading).
var.name	The name of the variable column in quotes, must match the variable column name exactly (e.g. "Precursor.Ion.Name").
value.name	The name of the value column in quotes, must match the value column name exactly (e.g. "p-value", "fc" or "p1").
filterset	If FALSE (default) all sets are used for enrichment, or could be used to use a particular set, matching the name of a variable information column (e.g. "class", "cl", "uns")

JeffreyMolendijk/ml-viewR documentation built on Oct. 30, 2019, 7:37 p.m.