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Plot-ready tibbles from pipeline objects

Source: R/as_tibble.R
as_tibble.incast_data.Rd

The data behind each object's autoplot(), for building custom plots:

incast_data

Observed counts, one row per series and target_end_date (latest reported value per date when revisions are present).

incast_ncast

Weekly nowcast summary, one row per series and reporting week (reference_date): median, 50\ q75) and 95\ and the reported-so-far observed count.

incast_fcast

Forecast quantiles per model, one row per model_id, series and target_end_date: median, 50\ (q25, q75) and 95\ prediction intervals. Observed counts for context are in x$hub$oracle_output.

Usage

# S3 method for class 'incast_data'
as_tibble(x, ...)

# S3 method for class 'incast_ncast'
as_tibble(x, ...)

# S3 method for class 'incast_fcast'
as_tibble(x, ...)

Arguments

x

An incast_data, incast_ncast or incast_fcast object.

...

Ignored.

Value

A tibble.

See also

autoplot.incast_data, autoplot.incast_ncast, autoplot.incast_fcast

Author

Cyril Geismar

Examples

example_data |>
  check_data() |>
  as_tibble()
#> # A tibble: 370 × 4
#>    location target          target_end_date observation
#>    <chr>    <chr>           <date>                <dbl>
#>  1 CA       wk inc flu hosp 2022-06-04              432
#>  2 NY       wk inc flu hosp 2022-06-04              124
#>  3 CA       wk inc flu hosp 2022-06-11              391
#>  4 NY       wk inc flu hosp 2022-06-11              103
#>  5 CA       wk inc flu hosp 2022-06-18              305
#>  6 NY       wk inc flu hosp 2022-06-18               92
#>  7 CA       wk inc flu hosp 2022-06-25              238
#>  8 NY       wk inc flu hosp 2022-06-25               65
#>  9 CA       wk inc flu hosp 2022-07-02              193
#> 10 NY       wk inc flu hosp 2022-07-02               45
#> # ℹ 360 more rows