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consensusECDF
plots the empirical cumulative distribution functions
(ECDF) of the consensus matrices produced during the consensus clustering
step of the neatmap
function.
consensusECDF(neatmap_res)
Output from the neatmap
function.
Returns a ggplot depicting the ECDFs of each iteration of the consensus clustering, i.e. one ECDF per number of clusters used in each iteration.
This function visualizes the ECDFs of the consensus matrices for each each
iteration of consensus clustering that is carried out as part of the
neatmap
function.
For more information on the consensus matrices, see Monti et al..
# NOT RUN {
#' # create the data frame using the network, node and edge attributes
df <- netsDataFrame(network_attr_df,
node_attr_df,
edge_df)
# run the neatmap code on df
neat_res <- neatmap(df, scale_df = "ecdf", max_k = 3, reps = 100,
xlab = "vars", ylab = "nets", xlab_cex = 1, ylab_cex = 1)
# create the ECDF plot
consensusECDF(neat_res)
# }
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