Produce a coincidence matrix from a crip set or fuzzy set data.

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`x` |
x is a dataframe of crip set or fuzzy set data, which ranges from 0 to 1. |

`y` |
y is a dataframe of crip set or fuzzy set data, which ranges from 0 to 1. |

`standardized` |
When TRUE, produce the standardized coincidence scores. |

`use` |
The method of handling missing data. "complete" means listwise deletion and "pairwise" means pairwise deletion. |

`digits` |
a non-null value for 'digits' specifies the minimum number of significant digits to be printed in values. |

`...` |
arguments passed to default method of print. |

Coincidence measures the amount of overlap or coincidence between two sets or configurations. The formula is:
`sum(pmin(x,y))/sum(pmax(x,y))`

. When standardized is TRUE, the formular is: `sum(pmin(x,y))/min(sum(x),sum(y))`

.

A coincidence matrix.

Ronggui HUANG

Ragin, Charles C. 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage." Political Analysis 14 (3) : 291-310

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