get calculate internal consistency checks for sibling reports

Usage

sib_ic_checks_OLD(
  esc.dat,
  ego.dat,
  ego.id,
  sib.id,
  sib.frame.indicator,
  sib.cell.vars,
  ego.cell.vars,
  boot.weights
)

Arguments

esc.dat: The ego X sibling X cell dataset (see get_esc_reports)
ego.dat: The ego dataset, containing one row for each survey respondent
ego.id: String with the name of the column in esc.dat containing the survey respondent ID
sib.id: String with the name of the column in esc.dat containing the unique sibling ID
sib.frame.indicator: String with the name of the column in sib.dat containing a 0/1 coded variable indicating whether or not each sib is in the frame population
sib.cell.vars: see Details
ego.cell.vars: see Details
boot.weights: Dataframe with bootstrap resampled weights. See Details

Value

A tibble with a row for each reported sibling in the frame population, the sibling's cell info, and the cell info of the survey respondent who reported each sibling

Details

The sib.cell.vars and ego.cell.vars arguments should have a vector with Strings containing the names of columns in esc.dat identifying the cells to group reports by (typically age and sex, and possibly other variables). Note that, unlike the cell.vars argument in get_ec_reports, for this function sib.cell.vars and ego.cell.vars MUST have the age variable listed FIRST. The goal of get_ic_reports is to find the cell that each sibling was in at the time of the interview, meaning the oldest age group to which the sibling contributed any exposure. boot.weights is assumed to have a column that is named whatever the ego.id is, and then a series of columns named boot_weight_1, ..., boot_weight_M.

Examples

  # TODO write example code