Create a reporting_triangle object

Create a reporting_triangle object

Usage

as_reporting_triangle(data, delays_unit = "days", ...)

Arguments

data

Data to be nowcasted.

delays_unit

Character string specifying the temporal granularity of the delays. Options are "days", "weeks", "months", "years". Default is "days".

...

Additional arguments passed to methods.

Value

A reporting_triangle object

See also

Reporting triangle construction and validation [.reporting_triangle(), [<-.reporting_triangle(), as.data.frame.reporting_triangle(), as.matrix.reporting_triangle(), as_ChainLadder_triangle(), as_reporting_triangle.data.frame(), as_reporting_triangle.matrix(), as_reporting_triangle.triangle(), assert_reporting_triangle(), get_delays_from_dates(), get_delays_unit(), get_max_delay(), get_mean_delay(), get_quantile_delay(), get_reference_dates(), get_report_dates(), get_reporting_structure(), head.reporting_triangle(), is_reporting_triangle(), new_reporting_triangle(), print.reporting_triangle(), reporting_triangle-class, summary.reporting_triangle(), tail.reporting_triangle(), truncate_to_delay(), truncate_to_quantile(), validate_reporting_triangle()

Examples

# Create a reporting triangle from a data.frame
data_as_of_df <- syn_nssp_df[
  syn_nssp_df$report_date <= "2026-04-01" &
    (syn_nssp_df$report_date - syn_nssp_df$reference_date) <= 25,
]
rt <- as_reporting_triangle(data = data_as_of_df)
#> ℹ Using max_delay = 25 from data
rt
#> Reporting Triangle
#> Delays unit: days
#> Reference dates: 2025-10-25 to 2026-04-01
#> Max delay: 25
#> Structure: 1
#> 
#> Showing last 10 of 159 rows
#> Showing first 10 of 26 columns
#> 
#>              0   1  2  3  4  5  6  7  8  9
#> 2026-03-23 210 131 34 50 35 12  1 25 20  6
#> 2026-03-24 221  96 22 10 13  6  0  5  9 NA
#> 2026-03-25 291 129 17 26 42 29 23 25 NA NA
#> 2026-03-26 179  96 22 50  9  8 18 NA NA NA
#> 2026-03-27 284  40 41 54 28 12 NA NA NA NA
#> 2026-03-28 217  78 46 14 39 NA NA NA NA NA
#> 2026-03-29 336 161 62 13 NA NA NA NA NA NA
#> 2026-03-30 296  53 55 NA NA NA NA NA NA NA
#> 2026-03-31 210 108 NA NA NA NA NA NA NA NA
#> 2026-04-01 236  NA NA NA NA NA NA NA NA NA
#> 
#> Use print(x, n_rows = NULL, n_cols = NULL) to see all data