Prepare data from step_counts results table for display as charts — compile_indiv_change_factor

Prepare data from step_counts results table for display as charts

Usage

compile_indiv_change_factor_data(
  results,
  measure,
  activity_type = c("ip", "op", "aae"),
  pods = NULL,
  sites = NULL,
  pod_lookup = get_principal_pods(),
  tpma_lookup = get_tpma_label_lookup(),
  sort_by = c("value", "tpma_label")
)

Arguments

results: A named list containing NHP results tables
measure: The measure to focus on for the output table. Valid values depend on which activity_type is selected
activity_type: string. One of "ip", "op", "aae". "ip" is the default.
pods: character vector. PoD labels to filter data to. The default value of NULL means no PoDs will be filtered out
sites: Either NULL (the default) or a vector of site codes to filter to. NULL means don't filter; include all sites present in the data
pod_lookup: A tibble, or a function that returns a tibble, containing columns named activity_type_label, pod and pod_label. This provides friendly labels for POD variables in the data. pod is the key column used for joining to data tables.
tpma_lookup: A tibble, or a function that returns a tibble, containing a column named strategy (used as a key for joining to the step_counts table) and a column named tpma_label that provides friendly labels for all TPMAs/strategies
sort_by: string, one of "value" or "tpma_label". The former sorts the output table by the value of the change, the latter alphabetically by the TPMA label

Value

A prepared tibble of projected negative changes in activity, by TPMA