Walks the steps in the order they were added, starting from the base weights. Each step multiplies the current weight by its adjustment factor.
Arguments
- spec
a weighting_spec.
- min_cell_n
integer. Minimum number of cases per adjustment cell (weighting class, poststratum). Cells below this raise a (non-fatal) warning recommending collapsing or switching to raking. Default 30, following Kalton and Flores-Cervantes (2003). Set to NULL to disable.
- max_factor
numeric. Adjustment factor above which a cell is flagged as excessive. Default 2.5. Set to NULL to disable.
- warn
logical. If TRUE, the quality alerts are also raised as R warnings during prep(). Default FALSE: alerts are always computed, stored on the object (
$alerts) and shown in the HTML report, but not raised as warnings, so they do not flood bootstrap/jackknife replicate fits.
Examples
rec <- weighting_spec(sample_survey, base_weights = pw) |>
step_nonresponse(respondent = responded, method = "weighting_class", by = "region")
prep(rec)
#>
#> == Weighting specification (weightflow) ==
#> Data : 467 cases
#> Base wts: pw
#> Steps :
#> 1. nonresponse (weighting class)
#> Status : estimated (prep)
#>
#> Stage summary:
#> stage n_active sum_wts cv_wts deff_kish n_eff
#> base 467 4371 0.236 1.056 442
#> stage_1_step_nonresponse 270 4371 0.144 1.021 265
#>
#> deff_kish = 1 + CV^2 (Kish design effect from unequal weighting);
#> n_eff = n_active / deff_kish. Both worsen with each adjustment and
#> improve with trimming.
#>