sea.net {ldsa} | R Documentation |

## Extract an Entailment Network from a SEA Table

### Description

Extracts a (dyadic) network of entailments from a `sea.table`

object, based on a specified error threshold.

### Usage

sea.net(x, thresh = 0.1, measure = c("rate", "z-score",
"binom.p"), remove.redundant = TRUE, req.str = TRUE)

### Arguments

`x` |
an object of class `sea.table` . |

`thresh` |
error threshold to employ when extracting entailments; only rules with error rates less than `thresh` are retained. |

`measure` |
error measure to use; `rate` for absolute error rates, `z-score` for z-scores, or `binom.p` for p-values under an exact Binomial test. |

`remove.redundant` |
logical; should redundant implications be removed? |

`req.str` |
logical; should implications be required to satisfy White's “strong relationship” rule to be included? |

### Details

`sea.net`

returns a (possibly minimal) adjacency matrix expressing the dyadic entailments on the variables of `x`

. This is formed by selecting all dyadic entailments whose error rates (or error cell z-scores/p-values if `measure=="z-score"`

or `measure=="binom.p"`

, respectively) are less than `thresh`

. In the event that multiple relationships meet this criterion for a given directed dyad, the strongest is kept; relationships may be further filtered based on White's strength criterion (if `req.str==TRUE`

) or to eliminate redundancy (if `remove.redundant==TRUE`

). The remaining entailments are expressed as a valued adjacency matrix (see below), which is suitable for visualization or analysis using packages such as `sna`

.

### Value

An adjacency matrix expressing the relationships among the input variables. Directed dyad values should be interpreted as follows:

`0 ` |
No non-redundant *X,Y* relationship |

`1 ` |
*X* implies *Y* |

`2 ` |
*X* and *Y* are mutually exclusive |

`3 ` |
*X* and *Y* are mutually coexhaustive |

### Author(s)

Carter T. Butts buttsc@uci.edu

### References

White, D.R.; Burton, M.; and Brudner, L. 1977. “Entailment Theory and Method: A Cross-Cultural Analysis of the Sexual Division of Labor.” *Behavior Science Research,* 12:1-24.

White, D. R. 2000. “Manual For Statistical Entailment Analysis 2.0: Sea.Exe.” *World Cultures*, 11(1): 77-90.

### See Also

`sea.table`

, `sea.entailment`

[Package

*ldsa* version 0.1-2

Index]