count individual participants in longitudinal data

count individual participants in longitudinal data

Usage

margot_count_ids(
  dat,
  start_wave = 2009,
  end_wave = 2022,
  prev_wave_counts = c(1, 2, 3, 4),
  opt_in_var = "sample_frame_opt_in",
  opt_in_true = 1,
  opt_in_false = 0
)

Arguments

dat

a data frame containing the longitudinal data

start_wave

integer. the first wave to process (default: 2009)

end_wave

integer. the last wave to process (default: 2022)

prev_wave_counts

integer vector. previous wave thresholds to count (default: c(1,2,3,4))

opt_in_var

character. name of the opt-in variable to track (default: "sample_frame_opt_in")

opt_in_true

value indicating opted-in status (default: 1)

opt_in_false

value indicating not opted-in status (default: 0)

Value

a tibble with columns for: - wave: survey wave number - n_total: cumulative unique participants through current wave - n_active: active participants in current wave - n_deceased: newly deceased in current wave - n_deceased_total: total deceased through current wave - n_returned: participants absent in previous wave but present in earlier waves - n_returned_total: total returnees through current wave - n_opt_in: newly opted-in participants in current wave - n_opt_in_total: total opted-in participants through current wave - n_wave_1plus: participants in 1+ previous waves - n_wave_2plus: participants in 2+ previous waves - n_wave_3plus: participants in 3+ previous waves - n_wave_4plus: participants in 4+ previous waves