Description Usage Arguments Details Value Author(s) References Examples

Direct method of calibration in fuzzy set QCA.

1 2 | ```
directCalibration(x, fullin, fullout, crossover, infz = 0.953,
outfz = 0.047, details = FALSE)
``` |

`x` |
an interval variable to be converted to fuzzy set score. |

`fullin` |
scalar indicating full membership. |

`fullout` |
scalar indicating the full non-membership. |

`crossover` |
scalar indicating cross over point. |

`infz` |
fuzzy set score of full membership, corresponding to fullin. |

`outfz` |
fuzzy set score of full non-membership, corresponding to fullout. |

`details` |
logical. |

Usually, the sum of infz and outfz should be 1. In Ragin (2008), infz is 0.953 and outfz is 0.047, which lead to the log odd of membership being (proximitely) 3.0 and -3.0.

When details is TRUE, it the result is a data frame. Otherwise, the value is a numeric vector of fuzzy set score.

Ronggui HUANG

Ragin, Charles C. 2008. "Redesigning social inquiry: fuzzy sets and beyond." Chapter 5. Chicago: University of Chicago Press.

1 | ```
directCalibration(Lipset_fs$Developed,800,300,550)
``` |

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