sea.table {ldsa} | R Documentation |

Computes a descriptive entailment table for an input data set, much in the style of White (2000): Douglas R. White, Manual for Statistical Entailment Analysis. World Cultures 11(1):77-90.

Abstract of White (2000). A programmed statistical method developed for the analysis of binary data by the author explicates how to find approximations to discrete Boolean relations of inclusion, mutual exclusion, and collective exhaustion that satisfy empirical conditions for transitivity, and thus which facilitate formulation of rules and generalizations in discrete form ("If ... then ...") that are also logically transitive. Signal detection methods are used to reject relationships that could be due to chance by comparing actual relationships to those found in Monte Carlo simulations of comparable random datasets. The analytic results constitute a discrete network structure of nontrivial empirical implications that characterize a dataset.sea.table(dat)

`dat` |
a `data.frame` with observations on rows; missing data is permitted. |

Examination of an entailment table is a useful first step in conducting an entailment analysis; additional measures such as local tests or confirmatory latent class analysis can then be applied to discriminate among possible models. See `sea.entailment`

for a description of entailment types, and their respective falsification conditions.

An object (data frame) of class `sea.table`

, containing the following columns (note that each row corresponds to a variable pair):

`xnam ` |
Name of the X variable for this pair |

`ynam ` |
Name of the Y variable for this pair |

`Corr ` |
X,Y correlation for this pair |

`R^2 ` |
Squared X,Y correlation for this pair |

`XYErr ` |
Error rate for X=>Y |

`XYErrZ ` |
Z-score for error cell associated with X=>Y |

`XYErrp ` |
p-value for a one-sided exact binomial test of the error rate associated with X=>Y, versus the marginal probability |

`XYStr ` |
Does X=>Y satisfy White's “strong relationship” criterion? |

`YXErr ` |
Error rate for Y=>X |

`YXErrZ ` |
Z-score for error cell associated with Y=>X |

`YXErrp ` |
p-value for a one-sided exact binomial test of the error rate associated with Y=>X, versus the marginal probability |

`YXStr ` |
Does Y=>X satisfy White's “strong relationship” criterion? |

`XnYErr ` |
Error rate for X=>!Y |

`XnYErrZ ` |
Z-score for error cell associated with X=>!Y |

`XnYErrp ` |
p-value for a one-sided exact binomial test of the error rate associated with X=>!Y, versus the marginal probability |

`nXYErr ` |
Error rate for !X=>Y |

`nXYErrZ ` |
Z-score for error cell associated with !X=>Y |

`nXYErrp ` |
p-value for a one-sided exact binomial test of the error rate associated with !X=>Y, versus the marginal probability |

`N00 ` |
Number of X=0,Y=0 observations |

`N01 ` |
Number of X=0,Y=1 observations |

`N10 ` |
Number of X=1,Y=0 observations |

`N11 ` |
Number of X=1,Y=1 observations |

Carter T. Butts buttsc@uci.edu

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

`sea.enumerate`

, `sea.entailment`

, `sea.net`

, `binom.test`

[Package *ldsa* version 0.1-2 Index]