Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/methods-graph.R

These functions provide coercions between objects that inherit from
the `graph`

class to sparse matrices from the `SparseM`

package.

1 2 | ```
graph2SparseM(g, useweights=FALSE)
sparseM2Graph(sM, nodeNames, edgemode=c("directed", "undirected"))
``` |

`g` |
An instance of the |

`useweights` |
A logical value indicating whether to use the edge weights in the graph as values in the sparse matrix. |

`sM` |
A sparse matrix. |

`nodeNames` |
A |

`edgemode` |
Specifies whether the graph to be created should have
directed (default) or undirected edges. If undirected, the input
matrix |

A very simple coercion from one representation to another.

Currently it is presumed that the matrix is square. For other graph formats, such as bipartite graphs, some improvements will be needed; patches are welcome.

`graph2SparseM`

takes as input an instance of a subclass of the
`graph`

class and returns a sparse matrix.

`sparseM2Graph`

takes a sparse matrix as input and returns an
instance of the `graphNEL`

class. By default, the
`graphNEL`

returned will have directed edges.

R. Gentleman

`graph-class`

,
`graphNEL-class`

, and for
other conversions, `aM2bpG`

and `ftM2adjM`

1 2 3 4 5 6 | ```
set.seed(123)
g1 <- randomGraph(letters[1:10], 1:4, p=.3)
s1 <- graph2SparseM(g1, useweights=TRUE)
g2 <- sparseM2Graph(s1, letters[1:10], edgemode="undirected")
## consistency check
stopifnot(all.equal(g1, g2))
``` |

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