Generic quantile plot

Generic quantile plot

Usage

enw_plot_quantiles(posterior, latest_obs = NULL, log = FALSE, ...)

Arguments

posterior

A data.frame of summarised posterior estimates containing at least a confirm count column a date variable, quantile estimates for the 5%, 20%, 80%, and 95% quantiles and the mean and median. This function is wrapped in enw_plot_nowcast_quantiles() and enw_plot_pp_quantiles() with sensible default labels.

latest_obs

A data.frame of observed data containing at least a confirm count variable and the same date variable as in the main data.frame used for plotting.

log

Logical, defaults to FALSE. Should counts be plot on the log scale.

...

Additional arguments passed to ggplot2::aes() must at least specify the x date variable.

Value

A ggplot2 plot.

See also

enw_plot_nowcast_quantiles(), enw_plot_pp_quantiles()

Plotting functions enw_plot_nowcast_quantiles(), enw_plot_obs(), enw_plot_pp_quantiles(), enw_plot_theme(), plot.epinowcast()

Examples

nowcast <- enw_example("nowcast")
nowcast <- summary(nowcast, probs = c(0.05, 0.2, 0.8, 0.95))
enw_plot_quantiles(nowcast, x = reference_date)