as.edgedataframe: Coerce to an Edge List

Description

Converts from a Subcascades object to a weighted edge list.

Usage

as.edgedataframe(subcascades)

Arguments

subcascades

A Subcascades object as it is returned by subcascades-function. The Subcascades object is made up of a list of matrices. Each matrix comprises the evaluation results of cascades of a specific length and is sorted row-wise according to the achieved minimal classwise sensitivities of the cascades (decreasing). The rownames show the class order by a character string of type '1>2>3' and the entries the sensitivity for each position of the cascade.

Value

A data.frame that can be used to generate a graph. The first and second column correspond to all pairwise relations (from - to) of the cascades within the Subcascades object. The 'CASC_ID' column contains the same ID for all edges belonging to the same cascade. The 'SIZE' column gives the size of the cascade to which the repective column bleongs. The method returns NULL if the object subcascades is empty.

Details

Converts a Subcascades object to a data.frame that can be used to generate a graph.

Examples

Run this code

# NOT RUN {
library(TunePareto)
library(igraph)
data(esl)
data = esl$data
labels = esl$labels
predMap = predictionMap(data, labels, 
                       classifier = tunePareto.svm(), kernel='linear')

# generate a dataframe
subcascades = subcascades(predMap,thresh=0.65,size=4)
edges = as.edgedataframe(subcascades)
g = graph_from_data_frame(edges[,c(1,2)], directed = TRUE)
E(g)$weight = edges[,3]
plot(g,edge.color=edges[,3],edge.arrow.size=0.5,
     edge.curved =seq(-0.5, 1, length = ecount(g)))
# }