Method for dplyr::summarise that implicitly accounts for the inherent grouping structure of incidence2 objects.
Usage
# S3 method for class 'incidence2'
summarise(.data, ..., .by, .groups)Arguments
- .data
An incidence2 object.
- ...
<
data-masking> Name-value pairs. The name gives the name of the column in the output.The value can be:
A vector of length 1, which will be recycled to the correct length.
A vector the same length as the current group (or the whole data frame if ungrouped).
NULL, to remove the column.A data frame or tibble, to create multiple columns in the output.
- .by
Not used as grouping structure implicit.
- .groups
Not used.
Value
A tibble.
See also
dplyr::summarise for the underlying grouping.
Examples
if (requireNamespace("outbreaks", quietly = TRUE)) {
data(ebola_sim_clean, package = "outbreaks")
ebola_sim_clean$linelist |>
subset(!is.na(hospital)) |>
incidence_(date_of_onset, hospital, interval = "isoweek") |>
summarise(model = list(glm(count ~ date_index, family = "poisson")))
}
#> # A tibble: 5 × 3
#> count_variable hospital model
#> <chr> <fct> <list>
#> 1 date_of_onset Military Hospital <glm>
#> 2 date_of_onset Connaught Hospital <glm>
#> 3 date_of_onset other <glm>
#> 4 date_of_onset Princess Christian Maternity Hospital (PCMH) <glm>
#> 5 date_of_onset Rokupa Hospital <glm>