Description Usage Arguments Details Value Examples

Construct a contingency table showing all observed pairs between different states of variables.

1 |

`data` |
A |

`vars` |
Optional |

`p` |
A |

`...` |
Additional options passed to |

For each variable in `vars,`

ql_matrix`first splits the data for each observed state and then calculates the percentile given by`

p`for each of the remaining variables. So yes, this is not a contingency table. Instead, the default value of`

p'
is such that we're almost calulating the minimum value observed
for all variables for each state of a target variable. What
does this tell us? I have no idea.

A `S3`

`matrix`

of class `ql_mat`

.

1 2 | ```
x <- data.frame(a = c(0, 1), b = c(1, 1))
ql_matrix(x)
``` |

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