Description Usage Arguments Details Value Author(s) Examples

`gvectorize`

takes an input graph set and converts it into a corresponding number of vectors by row concatenation.

1 | ```
gvectorize(mats, mode="digraph", diag=FALSE, censor.as.na=TRUE)
``` |

`mats` |
one or more input graphs. |

`mode` |
“digraph” if data is taken to be directed, else “graph”. |

`diag` |
boolean indicating whether diagonal entries (loops) are taken to contain meaningful data. |

`censor.as.na` |
if |

The output of `gvectorize`

is a matrix in which each column corresponds to an input graph, and each row corresponds to an edge. The columns of the output matrix are formed by simple row-concatenation of the original adjacency matrices, possibly after removing cells which are not meaningful (if `censor.as.na==FALSE`

). This is useful when preprocessing edge sets for use with `glm`

or the like.

An nxk matrix, where n is the number of arcs and k is the number of graphs; if `censor.as.na==FALSE`

, n will be reflect the relevant number of uncensored arcs.

Carter T. Butts [email protected]

1 2 3 4 5 | ```
#Draw two random graphs
g<-rgraph(10,2)
#Examine the vectorized form of the adjacency structure
gvectorize(g)
``` |

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