calc_aggregate_counts: Aggregate UCLA and MP data to get a more recent accurate...

In uclalawcovid19behindbars/behindbarstools: Tools for the UCLA Behind Bars Data Team

Aggregate UCLA and MP data to get a more recent accurate count of COVID variables

Description

Reads the UCLA and MP/AP dataset aggregates counts for states for most recent data after a given date cutoff and reports either state level data or national data. States include values for the 50 state DOCs, Federal for BOP prisons, ICE detention centers, and incarcerated individuals under the administration of the District of Columbia DOC. If both UCLA and MP report a value for a state the larger value for is taken.

Usage

calc_aggregate_counts(
  date_cutoff = DATE_CUTOFF,
  window = 31,
  ucla_only = FALSE,
  state = FALSE,
  sub_vax = TRUE,
  all_dates = FALSE,
  week_grouping = TRUE,
  only_prison = TRUE
)

Arguments

date_cutoff	date, the earliest date of acceptable data to pull from if all_dates is FALSE for .Confirmed and .Deaths variables
window	integer, the day range of acceptable UCLA data to pull from if all_dates is FALSE for all variables EXCEPT .Confirmed and .Deaths
ucla_only	logical, only consider data from UCLA
state	logical, return state level data
sub_vax	logical, add variable for Residents.Initiated, equal to Residents.Completed, where Resident.Initiated is missing, by state, measure, and date when all_dates == T
all_dates	logical, get time series data rather than just latest counts
week_grouping	logical, use weekly grouping for past data? else monthly
only_prison	logical, whether to only include Prison, Federal, and ICE web groups (state prisons, federal prisons, and ICE detention)

Value

data frame with aggregated counts at state or national level

Examples

## Not run: 
calc_aggregate_counts()

## End(Not run)
calc_aggregate_counts(state = TRUE, all_dates = TRUE)

uclalawcovid19behindbars/behindbarstools documentation built on April 22, 2022, 4:08 a.m.