Skip to contents

Function to clean and prepare the exposure data matrix

make_exposure_matrix.Rd

Function to clean and prepare the exposure data matrix

Usage

make_exposure_matrix(
  data,
  column_mapping,
  months_subset = 5:9,
  dt_by = "day",
  maxgap = 5,
  maxlag = 5,
  grp_level = FALSE,
  keep_unit_exposures = FALSE,
  exposure_is_factor = FALSE
)

Arguments

data

a dataset of exposures

column_mapping

a named list that indicates relevant columns in data. for the exposure data table, these need to be one of: c('date', "exposure", 'geo_unit', 'geo_unit_grp')

months_subset

the warm season months for this region, default is Northern Hemisphere's May through September (5 through 9)

dt_by

is it daily data, or weekly or ...

maxlag

the number of lags for the exposure variable (default is 5)

grp_level

whether to summarize to the group level or not (default)

keep_unit_exposures

if grp_level is true, whether to keep original unit-level exposures

exposure_is_factor

exposure is a factor

maxgaps

the maximum allowable missing exposure data gap, to be passed to zoo::na.approx (default is 5)

Value

a data.table of class("exposure")

Examples