Aggregate a daily timeseries to epiweekly — daily_to

Given a set of daily timeseries / time trajectories in tidy long-form format (i.e. with one row per day per trajectory, with one or more columns that uniquely identify individual trajectories (e.g. a trajectory_id column), aggregate it to the scale of epiweeks.

Usage

daily_to_epiweekly(
  tidy_daily_trajectories,
  value_col = "value",
  date_col = "date",
  id_cols = ".draw",
  weekly_value_name = "weekly_value",
  strict = TRUE
)

Arguments

tidy_daily_trajectories: tibble of trajectories, with dates, trajectory ids, and observeable values to aggregate
value_col: name of the column containing trajectory values. Default "value".
date_col: name of the column containing dates. Default "date".
id_cols: name(s) of the column(s) that uniquely identify a single timeseries (e.g. a single location timeseries or a single posterior trajectory). Default ".draw" (as the output of tidybayes::spread_draws()).
weekly_value_name: name to use for the output coluqmn containing weekly trajectory values. Default "weekly_value".
strict: Boolean. If TRUE only aggregate an epiweek if all seven days are represented in the trajectory. If FALSE, allow partial weeks. Default TRUE.

Value

tibble of aggregated epiweekly trajectories.

Details

This requires a column containing a set of timepoints coercible to dates.