binaryA-methods: binary heatmap for standardized feature matrix

binaryAR Documentation

binary heatmap for standardized feature matrix

Description

creates a binarized heatmap of the A matrix in which the value is 1 if the value in Amean is greater than threshold * Asd and 0 otherwise

Usage

binaryA(object, threshold = 3)

## S4 method for signature 'CogapsResult'
binaryA(object, threshold = 3)

Arguments

object

an object of type CogapsResult

threshold

the number of standard deviations above zero that an element of Amean must be to get a value of 1

Value

plots a heatmap of the A Matrix

Examples

data(GIST)
# to expensive to call since it plots
# binaryA(GIST.result, threshold=3)

CoGAPS/CoGAPS documentation built on April 12, 2024, 3:12 a.m.