baselinenowcast (version 0.2.0)

as_reporting_triangle.matrix: Create a reporting_triangle from a matrix

Description

This method takes a matrix in the format of a reporting triangle, with rows as reference dates and columns as delays and elements as incident case counts and creates a reporting_triangle object. See as_reporting_triangle.data.frame() for creating from data frames.

Usage

# S3 method for matrix
as_reporting_triangle(data, delays_unit = "days", reference_dates = NULL, ...)

Value

A reporting_triangle object

Arguments

data

Matrix of a reporting triangle where rows are reference times, columns are delays, and entries are the incident counts. The number of columns determines the maximum delay.

delays_unit

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

reference_dates

Vector of Date objects or character strings indicating the reference dates corresponding to each row of the reporting triangle matrix (data). If NULL (default), dummy dates starting from 1900-01-01 are generated with spacing determined by delays_unit.

...

Additional arguments not used.

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(), as_reporting_triangle.data.frame(), 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

rep_tri_mat <- matrix(
  c(
    1, 3, 5, 7, 9,
    4, 7, 8, 0, NA,
    9, 10, 0, NA, NA,
    3, 0, NA, NA, NA,
    6, NA, NA, NA, NA
  ),
  nrow = 5,
  byrow = TRUE
)

reference_dates <- seq(
  from = as.Date("2025-01-01"),
  to = as.Date("2025-01-05"),
  by = "day"
)

# max_delay is inferred from matrix dimensions (4 in this case)
rep_tri <- as_reporting_triangle(
  data = rep_tri_mat,
  reference_dates = reference_dates
)
rep_tri