Description Usage Arguments Value Examples

To simplify the task of comparing variables, this calculates a matrix of mutual information values from each pairwise combination of the variables selected. If 6 variables are selected, that would yield a table with 15 rows (choose(6,2)), and 3 columns.

1 | ```
mutual_info_matrix(.data, ..., normalized = FALSE, na.rm = FALSE)
``` |

`.data` |
A tibble with the columns of interest |

`...` |
a selection of columns, selected in the same way as select |

`normalized` |
if TRUE, scale from 0 to 1 |

`na.rm` |
remove all rows with NA values in at least one of the columns |

a 3 column tibble with each pairwise combination and its calculated mutual information

1 2 3 | ```
# make an all-character version of mtchars
mt_tib <- as_tibble(mtcars) %>% mutate_all(as.character)
mutual_info_matrix(mt_tib, 8:11)
``` |

tidyinftheo documentation built on Dec. 1, 2017, 1:01 a.m.

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