Function reference • incidence2

Incidence2 objects

incidence(): Compute the incidence of events

incidence_(): Compute the incidence of events (tidyselect compatible)

summary(<incidence2>): Summary of an incidence object

as_incidence(): Coerce to an incidence object

Manipulation

cumulate(): Compute cumulative 'incidence'

complete_dates(): Complete dates for all group combinations

keep_first() keep_last() keep_peaks() first_peak(): Keep first, last and peak occurences

regroup(): Regroup 'incidence' objects

regroup_(): Regroup 'incidence' objects (tidyselect compatible)

Coercion

as.data.frame(<incidence2>): Convert incident object to a data frame

as.data.table(<incidence2>): Coerce to a data.table

as_tibble(<incidence2>): Coerce to a tibble

Grouping aware methods

split(<incidence2>): Divide an incidence2 object in to it's implicit groupings

mutate(<incidence2>): Create, modify, and delete incidence2 columns

nest(<incidence2>): Nest rows into a list-column of data frames

summarise(<incidence2>): Summarise each grouping down to one row

Peak estimation

bootstrap_incidence(): Bootstrap incidence time series

estimate_peak(): Estimate the peak date of an incidence curve

keep_first() keep_last() keep_peaks() first_peak(): Keep first, last and peak occurences

Accessors

get_date_index_name() get_dates_name() get_count_variable_name() get_count_value_name() get_group_names() get_date_index() get_dates() get_count_variable() get_count_value() get_groups(): Access various elements of an incidence object

Plotting

plot(<incidence2>): Plot an incidence object

vibrant() muted(): Color palettes used in incidence

Data

covidregionaldataUK: Regional data for COVID-19 cases in the UK