Computes empirical quantiles of the reporting
delay distribution for each reference date. Intended for
use with the "delay_quantiles" plot type in
plot.enw_preprocess_data().
Usage
enw_delay_quantiles(pobs, quantiles = c(0.1, 0.5, 0.9))Arguments
- pobs
A preprocessed data object as produced by
enw_preprocess_data().- quantiles
A numeric vector of probabilities for which quantiles are computed. Defaults to
c(0.1, 0.5, 0.9).
See also
Plotting functions
enw_delay_categories(),
enw_plot_delay_counts(),
enw_plot_delay_cumulative(),
enw_plot_delay_fraction(),
enw_plot_delay_quantiles(),
enw_plot_nowcast_quantiles(),
enw_plot_obs(),
enw_plot_pp_quantiles(),
enw_plot_quantiles(),
enw_plot_theme(),
plot.enw_preprocess_data(),
plot.epinowcast()
Examples
pobs <- enw_example("preprocessed_observations")
enw_delay_quantiles(pobs)
#> Key: <.group>
#> .group reference_date 0.1 0.5 0.9
#> <num> <IDat> <num> <num> <num>
#> 1: 1 2021-07-14 0 2 9
#> 2: 1 2021-07-15 0 1 12
#> 3: 1 2021-07-16 0 1 9
#> 4: 1 2021-07-17 0 4 12
#> 5: 1 2021-07-18 0 4 14
#> 6: 1 2021-07-19 1 1 12
#> 7: 1 2021-07-20 0 1 9
#> 8: 1 2021-07-21 0 1 10
#> 9: 1 2021-07-22 0 1 13
#> 10: 1 2021-07-23 0 1 14
#> 11: 1 2021-07-24 0 3 13
#> 12: 1 2021-07-25 0 4 15
#> 13: 1 2021-07-26 0 1 10
#> 14: 1 2021-07-27 0 1 10
#> 15: 1 2021-07-28 0 1 13
#> 16: 1 2021-07-29 0 1 13
#> 17: 1 2021-07-30 0 2 12
#> 18: 1 2021-07-31 0 3 12
#> 19: 1 2021-08-01 1 5 15
#> 20: 1 2021-08-02 0 2 13
#> 21: 1 2021-08-03 0 1 11
#> 22: 1 2021-08-04 0 1 10
#> 23: 1 2021-08-05 0 2 9
#> 24: 1 2021-08-06 0 1 8
#> 25: 1 2021-08-07 0 3 7
#> 26: 1 2021-08-08 0 2 9
#> 27: 1 2021-08-09 0 1 5
#> 28: 1 2021-08-10 0 1 4
#> 29: 1 2021-08-11 0 1 8
#> 30: 1 2021-08-12 0 1 7
#> 31: 1 2021-08-13 0 1 6
#> 32: 1 2021-08-14 0 1 6
#> 33: 1 2021-08-15 0 2 5
#> 34: 1 2021-08-16 0 1 4
#> 35: 1 2021-08-17 0 1 3
#> 36: 1 2021-08-18 0 1 2
#> 37: 1 2021-08-19 0 1 2
#> 38: 1 2021-08-20 0 0 1
#> 39: 1 2021-08-21 0 0 1
#> 40: 1 2021-08-22 0 0 0
#> .group reference_date 0.1 0.5 0.9
#> <num> <IDat> <num> <num> <num>