Description Usage Arguments Details Value Author(s) References Examples
consensusECDF
plots the empirical cumulative distribution functions
(ECDF) of the consensus matrices produced during the consensus clustering
step of the neatmap
function.
1 | consensusECDF(neatmap_res)
|
neatmap_res |
Output from the |
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.
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.
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 | #' # 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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