Description Usage Arguments Value Examples

`landscape`

transforms a set of concept maps into a concept landscape using one of several possible methods.
Depending on the value of `result`

and accumulation or amalgamation is performed on the concept map data. The amalgamation
forms a weighted graph based on the unified set of concepts. An accumulation transforms each concept map into a vector and
returns a matrix of these vectors. Using `FUN`

the process of transformation can be influenced in both cases.

1 |

`maps` |
A conceptmaps object. |

`result` |
Either "graph" or "matrix" defines the return type and the method of aggregation. An amalgamation results in a weighted graph and an accumulation results a matrix. |

`mode` |
If |

`FUN` |
If |

Depending on `result`

either an igraph object or a numeric matrix.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
#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
cms = conceptmaps(list(conceptmap(g1), conceptmap(g2), conceptmap(g3)))
landscape(cms, result="graph", mode="undirected")
landscape(cms, result="matrix", mode="concept.vector")
``` |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.