plot.idgraph: Plots interdependencies graph

In rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

Plots interdependencies graph

Description

Invokes plot.igraph with predefined parameters to visualize interdependencies graph (ID-Graph). Standard plot function with custom parameters may be used instead of this one.

Usage

  ## S3 method for class 'idgraph'
plot(x, 
          label_dist = 0.5, 
          color = 'darkred',
          cex = 1, ...)

Arguments

x	idgraph/igraph S3 object representing feature interdependencies. This object is produced by build.idgraph function.
label_dist	space between the node's label and the corresponding node in the plot.
color	it defines color of the graph nodes.
cex	size of fonts.
...	additional plotting parameters.

Examples

  ## Not run: ###dontrunbegin
  
  # create input data
  adata <- artificial.data(rnd_features = 10)
  showme(adata)
  
  # Parametrize and run MCFS-ID procedure
  result <- mcfs(class~., adata, cutoffPermutations = 0, featureFreq = 50,
                  finalCV = FALSE, finalRuleset = FALSE, threadsNumber = 2)
  
  # build interdependencies graph for top 6 features 
  # and top 12 interdependencies and plot all nodes
  gid <- build.idgraph(result, size = 6, size_ID = 12, orphan_nodes = TRUE)
  plot(gid, label_dist = 1)
  
  
## End(Not run)###dontrunend

rmcfs documentation built on Sept. 11, 2024, 8:41 p.m.