create_c19r_data: Create Table of Risk Estimates

In sjbeckett/subregionalcovid19: Processing and mapping COVID-19 case data at subnational scales

Create Table of Risk Estimates

Description

Creates a table showing the estimated risk that one or more people will be infectious for the given input locations, event sizes and ascertainment biases.

Usage

create_c19r_data(
  df_in,
  risk_output = sprintf("world_risk_regions_%s.csv",
    stringr::str_replace_all(lubridate::today(), "-", "")),
  output_prefix = ".",
  event_size = c(10, 15, 20, 25, 50, 100, 500, 1000, 5000),
  asc_bias_list = cbind(AB1 = 3, AB2 = 4, AB3 = 5)
)

Arguments

df_in	Input data.
risk_output	Name of output file.
output_prefix	Folder location to store table file.
event_size	Event size(s) to calculate risk for.
asc_bias_list	Ascertainment bias(es) to calculate risk for, must be named.

Value

Creates, and writes to file, a table showing estimated risk that one or more people will be infectious for the given input locations, event sizes and ascertainment biases.

Examples

## Not run: 
Canada <- LoadData("LoadCanada")
create_c19r_data(Canada)

## End(Not run)

sjbeckett/subregionalcovid19 documentation built on Feb. 7, 2023, 6 a.m.