sens.tables | R Documentation |

This function can summarize the sensitivity analysis results from
`sa.aco`

function.

sens.tables(expr = NULL, sig.level = 0.05, path = TRUE, sort = TRUE)

`expr` |
Returned object of |

`sig.level` |
Significance level, default value is 0.05. |

`path` |
Logical, if TRUE, the function only present results for structural paths. If FALSE, the function will present results for all paths (including structural paths and measurement paths). Default value is TRUE. |

`sort` |
Logical, if TRUE, the function will present sorted results. If FALSE, the function will present unsorted results. Default value is TRUE. |

Lists of 5 summary tables. The first table (sens.summary) provides analytic model results (model path coefficient/model.est, p value/pvalue), mean, minimum, and maximum values of estimated path coefficients across all sensitivity analysis models (mean.est.sens, min.est.sens, and max.est.sens). The second table (phan.paths) provides the summary of sensitivity parameters, including the mean, minimum, and maximum values of each sensitivity parameters ( mean.phan, min.phan, max.phan). The third table (phan.min) provides the sensitivity parameters that lead to the minimum path coefficient estimation in a sensitivity analysis model. The fourth table (phan.max) provides the sensitivity parameters that lead to the maximum path coefficient estimation in a sensitivity analysis model. The fifth table (p.paths) provides the sensitivity parameters, if any, that lead to the change of p value across the significance level.

Leite, W., & Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (in press). Using ant colony optimization for sensitivity analysis in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal.

# see examples in the \code{\link{sa.aco}} function

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