DOE/DOR data aggregation — count_weekly

Aggregates daily mortality reporting data to a weekly basis. For more details see the help vignette:

Usage

count_weekly_reporting(
  data,
  aggregation_date,
  max_week_delay,
  keep_weekly_prob = F
)

Arguments

data: Raw data containing doe (Date of event), dor (Date of registration or reporting) and location_code. The columns must have these exact names.
aggregation_date: Date of aggregation
max_week_delay: Maximum weeks of delay taken into account. Must be greater than 2.
keep_weekly_prob: Binary. If True, the final aggregated data has weekly reporting percentile.

Value

Aggregated weekly data with number of events happened each week and reporting delay distribution

Details

vignette("intro", package="nowcast")

Examples


data <- nowcast::data_fake_nowcasting_raw
aggregation_date <- as.Date("2020-01-01")
max_week_delay <- 4

weekly_counts <- count_weekly_reporting(data, aggregation_date, max_week_delay)

weekly_counts_p <- count_weekly_reporting(data, aggregation_date, max_week_delay, keep_weekly_prob = TRUE)