pathfinder.conceptmaps: Creating a Pathfinder network from a conceptmaps object
In comato: Analysis of Concept Maps and Concept Landscapes

Description Usage Arguments Value Examples

pathfinder creates the Pathfinder network from a given set of conceptmaps. The conecpts of each concept map are unified, then the concept maps are transformed into a weight matrix and pathfinder.matrix is called on the data.

1
2
3

## S3 method for class 'conceptmaps'
pathfinder(data, q = 2, r = 1, threshold = 0,
  directed = F, prune.edges = F, return.cm = F, filename = "", ...)

`data`	A conceptmaps object.
`q`	The parameter q used in the Pathfinder algorithm. The resulting graph will be q-triangular.
`r`	The parameter r used in the Pathfinder algorithm for the r-metric.
`threshold`	A numeric value used for pruning the graph before the Pathfinder algorithm. The pruning works in conjunction with the value of `prune.edges`.
`directed`	if TRUE, the direction of the edges will be kept and the resulting Pathfinder network will be directed as well.
`prune.edges`	If TRUE, each entry of the weight matrix that is lower than `threshold` will be set to 0 and columns with a resulting sum of 0 are removed. If FALSE, only columns of the weight matrix with a sum of less than `threshold` will be removed.
`return.cm`	If TRUE, a conceptmap object will be returned. Otherwise, an igrpah object will be returned.
`filename`	Optional. If specified, the resulting Pathfinder network will be stored in TGF format in the given file.
`...`	-

Depending on return.cm either an igraph object or a conceptmap object that represents the Pathfinder network. If an igraph object is returned, the graph will be weighted.

#Create concept maps from three random graphs
require("igraph")
g1 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)
g2 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)
g3 = set.vertex.attribute(erdos.renyi.game(5, 0.7, type="gnp"), "name", value=1:5)

#Create conceptmaps object from three conceptmap objects
simple_cms = conceptmaps(list(conceptmap(g1), conceptmap(g2), conceptmap(g3)))

#Create Pathfinder network from data and return a conceptmap object
cm = pathfinder(simple_cms, q=1, return.cm=TRUE)