Description Usage Arguments Value Note See Also Examples

Computes a pair-wise frequency table of the given columns. Also known as a contingency table. The number of distinct values for each column should be less than 1e4. At most 1e6 non-zero pair frequencies will be returned.

1 | ```
crosstab(x, col1, col2)
``` |

`x` |
a spark_tbl |

`col1` |
name of the first column. Distinct items will make the first item of each row. |

`col2` |
name of the second column. Distinct items will make the column names of the output. |

a local R data.frame representing the contingency table. The first column of each row
will be the distinct values of `col1`

and the column names will be the distinct
values of `col2`

. The name of the first column will be "`col1`

_`col2`

".
Pairs that have no occurrences will have zero as their counts.

crosstab since 1.5.0

Other stat functions:
`approxQuantile()`

,
`corr()`

,
`covariance()`

,
`freqItems()`

,
`sampleBy()`

1 2 3 4 5 |

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