Change Data from a Sample Based Format to a Quantile Format
Source:R/utils_data_handling.R
sample_to_quantile.RdTransform data from a format that is based on predictive samples to a format based on plain quantiles.
Usage
sample_to_quantile(data, quantiles = c(0.05, 0.25, 0.5, 0.75, 0.95), type = 7)Arguments
- data
a data.frame with samples
- quantiles
a numeric vector of quantiles to extract
- type
type argument passed down to the quantile function. For more information, see
quantile()
Examples
sample_to_quantile(example_integer)
#> location location_name target_end_date target_type forecast_date
#> 1: DE Germany 2021-01-02 Cases <NA>
#> 2: DE Germany 2021-01-02 Cases <NA>
#> 3: DE Germany 2021-01-02 Cases <NA>
#> 4: DE Germany 2021-01-02 Cases <NA>
#> 5: DE Germany 2021-01-02 Cases <NA>
#> ---
#> 5151: IT Italy 2021-07-24 Deaths 2021-07-12
#> 5152: IT Italy 2021-07-24 Deaths 2021-07-12
#> 5153: IT Italy 2021-07-24 Deaths 2021-07-12
#> 5154: IT Italy 2021-07-24 Deaths 2021-07-12
#> 5155: IT Italy 2021-07-24 Deaths 2021-07-12
#> model horizon true_value quantile prediction
#> 1: <NA> NA 127300 0.05 NA
#> 2: <NA> NA 127300 0.25 NA
#> 3: <NA> NA 127300 0.50 NA
#> 4: <NA> NA 127300 0.75 NA
#> 5: <NA> NA 127300 0.95 NA
#> ---
#> 5151: epiforecasts-EpiNow2 2 78 0.05 44.90
#> 5152: epiforecasts-EpiNow2 2 78 0.25 89.25
#> 5153: epiforecasts-EpiNow2 2 78 0.50 151.50
#> 5154: epiforecasts-EpiNow2 2 78 0.75 208.00
#> 5155: epiforecasts-EpiNow2 2 78 0.95 469.10