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.getTableAddressing <- function (variableNames, truth){
# Get the adjacency list addressing template.
#
# Useful if you want to store the networks in their condensed upper-diagonal form while still
# having the benefit of convenient addressing and/or if you are using a simulated dataset in
# which you know the truth and want to store all the values in a single data.frame.
#
# Internal function used to get the addressing template for a data.frame to contain the adjacency
# list representation of a matrix.
# @param variableNames the names of all genes to include in the adjacency list
# @param truth The true adjacency matrix. Often will not be available, but is useful for
# debugging and testing.
# @return A data.frame representing the adjacency list of the matrix provided.
# @description This function was part of the package ENA. This package is no more available
# and it cannot be installed from archive because some dependencies are no more
# available.
# @export
# @author Jeffrey D. Allen \email{Jeffrey.Allen@@UTSouthwestern.edu}
# @examples
# # getTableAddressing example
#
joint <- matrix(0, nrow=length(variableNames), ncol=length(variableNames))
rownames(joint) <- variableNames
colnames(joint) <- variableNames
#extract the row, col indices for the upper-triangular portion of the matrix
address <- cbind(row(joint)[upper.tri(joint)], col(joint)[upper.tri(joint)])
address <- matrix(row.names(joint)[address], ncol=2)
upper <- upper.tri(joint);
if (missing(truth)){
aggregate <- data.frame(address)
colnames(aggregate) <- c("Source", "Dest")
}
else{
aggregate <- data.frame(address, truth[upper])
colnames(aggregate) <- c("Source", "Dest", "Truth")
}
return(aggregate);
}
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