Description Usage Arguments Value Author(s) References Examples
consensusChangeECDF
plots the relative change in area under empirical
cumulative distribution function for consecutive consensus cluster matrices
produced using the neatmap
function.
1 | consensusChangeECDF(neatmap_res)
|
neatmap_res |
Output from the |
A ggplot of the change in consecutive area under the ECDFs of the consensus cluster matrices.
Philippe Boileau, philippe_boileau@berkeley.edu
For more information on the consensus matrices, see Monti et al..
1 2 3 4 5 6 7 8 9 10 11 12 | #' # 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)
# visualize the relative change in AU ECDF of consecutive consensus cluster
# iterations
consensusChangeECDF(neat_res)
|
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