getFeaturePrevalence: Evaluates the prevalence of a list of features in the whole...

In predomics/predomicspkg: Interpretable Prediction in Omics Data

Evaluates the prevalence of a list of features in the whole dataset and per each class

Description

Evaluate the prevalence of a given model

Usage

getFeaturePrevalence(features, X, y = NULL, prop = TRUE, zero.value = 0)

Arguments

features:	a list of features or features indexes for which we wish to compute prevalence
X:	dataset where to compute the prevalence
y:	if provided it will also compute hte prevalence per each class (default:NULL)
prop:	weather to compute the prevalence in number or as a proportion (default:TRUE)
zero.value:	the value that specifies what is zero. This can be a different than 0 in log transformed data for instance (default = 0)

Value

A list containing the prevalence in the whole dataset as well as classes (if provided)

predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.