Plot a raw case count timeseries

Usage

plot_counts(raw, ..., mapping = .check_for_aes(raw, ...), events = i_events)

Arguments

raw

The raw count data, or the raw count data normalised by population ( see normalise_count()) - EITHER: a dataframe with columns:

population (positive_integer) - Size of population
count (positive_integer) - Positive case counts associated with the specified time frame
time (ggoutbreak::time_period + group_unique) - A (usually complete) set of singular observations per unit time as a `time_period`
population_unit (double) - The population unit on which the per capita incidence rate is calculated
time_unit (lubridate::as.period) - The time period over which the per capita incidence rate is calculated

Any grouping allowed.

OR with columns:

count (positive_integer) - Positive case counts associated with the specified time frame
time (ggoutbreak::time_period + group_unique) - A (usually complete) set of singular observations per unit time as a `time_period`

Any grouping allowed.

...

Named arguments passed on to geom_events

events

Significant events or time spans - a dataframe with columns:

label (character) - the event label
start (date) - the start date, or the date of the event
end (date) - the end date or NA if a single event

Any grouping allowed.

A default value is defined.

mapping

a ggplot2::aes mapping. Most importantly setting the colour to something if there are multiple incidence timeseries in the plot

events

Significant events or time spans - a dataframe with columns:

label (character) - the event label
start (date) - the start date, or the date of the event
end (date) - the end date or NA if a single event

Any grouping allowed.

A default value is defined.

Value

a ggplot object

Examples

# example code

tmp = ggoutbreak::england_covid %>%
  time_aggregate(count=sum(count)) %>%
  normalise_count(pop=56489700, population_unit=1000, normalise_time=TRUE)

# normalised by England population (56489700 people)

if(interactive()) {
  plot_counts(tmp, colour="blue",size=0.25)
}