Plot Nowcast Evaluation Detail Over Time — plot_nowcast_eval

For a selected delay, plots predicted and observed values over time alongside the last reported value. Vertical segments show which estimate (raw observed or predicted) was closer to truth for each occurrence date.

Usage

plot_nowcast_eval_detail(
  x,
  delay = NULL,
  color_good = "dodgerblue1",
  color_bad = "firebrick1",
  ...
)

Arguments

x: A nowcast_eval_results S7 object from nowcast_eval().
delay: Numeric. Which delay to plot. Defaults to the minimum delay in the data.
color_good: Character. Colour when prediction beats raw observed.`.
color_bad: Character. Colour when raw observed beats prediction.`.
...: Ignored.

Value

A ggplot object.

Examples

input <- generate_test_data()
eval_res <- nowcast_eval(
  df = input,
  col_date_occurrence = date_occurrence,
  col_date_reporting = date_report,
  col_value = value,
  n_past = 10,
  time_units = "days"
)
#> Warning: n_past (10) exceeds available reporting periods (8). Will be using the max available instead: 7
plot_nowcast_eval_detail(eval_res)

plot_nowcast_eval_detail(eval_res, delay = 7)