assemble_data: Assemble WNV data for analysis

In atyre2/unlwnv: Analyse WNV annual case data using UNL method

Description

This function pulls together all the different datasets from package wnvdata and the local case data. Some basic consistency checks are performed.

Usage

assemble_data(
  x,
  path_2_case_data = here::here("data-raw/wnv_by_county.csv"),
  case_type = c("neuro", "all"),
  match_variable = "fips",
  case_variable = "cases",
  measure = NULL,
  nUnits = NULL,
  startUnit = NULL,
  unit = NULL
)

Arguments

x	a data.frame or tibble with the prediction targets
path_2_case_data	character file path to the case data
case_type	character type of case data
match_variable	character name of the field to match data on
case_variable	character name of the case field in the case data
measure	character vector of variables to use for lagging
nUnits	integer vector of number of units to lag backwards
startUnit	integer unit to start lagging from
unit	character name of the variable identifying the lag units

Value

a data.frame ready to estimate distributed lag models

atyre2/unlwnv documentation built on Oct. 25, 2020, 10:18 a.m.