Description Usage Arguments Value Examples

View source: R/calculate_group_frequency.R

Generate an ordered data.frame of different disease combinations on the basis of the most frequent or most strongly associated with outcomes.

1 2 3 4 5 6 7 8 | ```
calculate_group_frequency(
unique_combinations,
all_diseases,
outcome_positions,
min_freq = 0,
tots,
use_outcome = FALSE
)
``` |

`unique_combinations` |
List of unique combinations of disease positions for a given number of combinations, generated using |

`all_diseases` |
List of positions associated with each disease, generated using |

`outcome_positions` |
Numeric vector where each element refers to a record that suffered a particular outcome. |

`min_freq` |
Number between 0 and 1; minimum proportion of code combinations to be included in the stem. If |

`tots` |
Numeric, total length of |

`use_outcome` |
Logical if to use outcome variable for stem generation. |

data.frame ordered from lowest to highest proportion of those suffering outcomes (if `outcome_positions`

entered) or number of records associated with that combination (if no `outcome_positions`

entered).

1 2 3 4 5 6 7 8 9 10 | ```
disease_counts = list(c(1), c(1,4), c(1,2,3,4), c(1))
unique_pos = structure(c(1, 1, 1, 2, 2, 3, 2, 3, 4, 3, 4, 4), .Dim = c(6L, 2L))
calculate_group_frequency(unique_combinations = unique_pos,
all_diseases = disease_counts,
outcome_positions = 0, tots = 4)
calculate_group_frequency(unique_combinations = unique_pos,
all_diseases = disease_counts,
outcome_positions = c(0,1,1,0), tots = 4)
``` |

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