View source: R/sna-operators.R

gliop | R Documentation |

`gliop`

is a wrapper which allows for an arbitrary binary operation on GLIs to be treated as a single call. This is particularly useful for test routines such as `cugtest`

and `qaptest`

.

gliop(dat, GFUN, OP="-", g1=1, g2=2, ...)

`dat` |
a collection of graphs. |

`GFUN` |
a function taking single graphs as input. |

`OP` |
the operator to use on the output of |

`g1` |
the index of the first input graph. |

`g2` |
the index of the second input graph. |

`...` |
Additional arguments to |

`gliop`

operates by evaluating `GFUN`

on the graphs indexed by `g1`

and `g2`

and returning the result of `OP`

as applied to the `GFUN`

output.

`OP(GFUN(dat[g1, , ],...),GFUN(dat[g2, , ],...))`

If the output of `GFUN`

is not sufficiently well-behaved, undefined behavior may occur. Common sense is advised.

Carter T. Butts buttsc@uci.edu

Anderson, B.S.; Butts, C.T.; and Carley, K.M. (1999). “The Interaction of Size and Density with Graph-Level Indices.” *Social Networks*, 21(3), 239-267.

`cugtest`

, `qaptest`

#Draw two random graphs g<-rgraph(10,2,tprob=c(0.2,0.5)) #What is their difference in density? gliop(g,gden,"-",1,2)

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