% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/class-CogapsResult.R, R/methods-CogapsResult.R
\title{binary heatmap for standardized feature matrix}
binaryA(object, threshold = 3)

\S4method{binaryA}{CogapsResult}(object, threshold = 3)
\item{object}{an object of type CogapsResult}

\item{threshold}{the number of standard deviations above zero
that an element of Amean must be to get a value of 1}
plots a heatmap of the A Matrix
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
result <- CoGAPS(SimpSim.data)
binMatrix <- binaryA(result, threshold=3)