#' Matrigraph summary by node.stat attribute
#'
#' @param output_matrigraph The output of the matrinet_estimate function
#' @param metric A network weight type, i.e., one of the column names in matrigraph$edge.df
#'
#' @return A list of node summary specific dataframes where columns represents cancer specific statistics
#' @export
#'
#' @examples print(c("matrigraph_summary"))
#' @importFrom qgraph centrality_auto
matrigraph_summary <- function(output_matrigraph, metric){
adjmat_list <- matrigraph_to_adjacency(output_matrigraph, weights_by = metric)
test <- lapply(adjmat_list, function(tumor){
diag(tumor) <- 0
qgraph::centrality_auto(tumor)
})
by_nodestat <- vector(mode = "list", length = length(test[[1]]$node.centrality))
names(by_nodestat) <- names(test[[1]]$node.centrality)
for(nodestat_type in names(by_nodestat)){
by_nodestat[[nodestat_type]] <- data.frame(Genes = rownames(test[[1]]$node.centrality))
for(tumor in names(test)){
by_nodestat[[nodestat_type]][tumor] <- test[[tumor]]$node.centrality[,nodestat_type]
}
}
return(by_nodestat)
}
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