rescaled.bootstrap.weights: rescaled.bootstrap.weights

In dfeehan/surveybootstrap: Bootstrap with Survey Data

rescaled.bootstrap.weights

Description

This function creates a dataset with rescaled bootstrap weights; it can be a helpful alternative to bootstrap.estimates in some situations

Usage

rescaled.bootstrap.weights(
  survey.data,
  survey.design,
  num.reps,
  weights = NULL,
  idvar,
  verbose = TRUE,
  parallel = FALSE,
  paropts = NULL
)

Arguments

survey.data	The dataset to use
survey.design	A formula describing the design of the survey (see Details in bootstrap.estimates() help page)
num.reps	the number of bootstrap replication samples to draw
weights	weights to use in estimation (or NULL, if none)
idvar	the name of the column in survey.data that has the respondent id
verbose	if TRUE, produce lots of feedback about what is going on
parallel	if TRUE, use the plyr library's .parallel argument to produce bootstrap resamples and estimates in parallel
paropts	if not NULL, additional arguments to pass along to the parallelization routine

Details

The formula describing the survey design should have the form ~ psu_v1 + psu_v2 + ... + strata(strata_v1 + strata_v2 + ...), where psu_v1, ... are the variables identifying primary sampling units (PSUs) and strata_v1, ... identify the strata

Value

if no summary.fn is specified, then return the list of estimates produced by estimator.fn; if summary.fn is specified, then return its output

Examples

survey <- MU284.complex.surveys[[1]]
rescaled.bootstrap.weights(survey.data = survey,
                          survey.design = ~ CL,
                          weights='sample_weight',
                          idvar='LABEL',
                          num.reps = 2)


## Not run: 
bootweights <- rescaled.bootstrap.weights(
                                         # formula describing survey design:
                                         # psu and strata
                                         survey.design = ~ psu +
                                                           stratum(stratum_analysis),
                                         num.reps=10000,
                                         # column with respondent ids
                                         idvar='caseid',
                                         # column with sampling weight
                                         weights='wwgt',
                                         # survey dataset
                                         survey.data=mw.ego)


## End(Not run)

dfeehan/surveybootstrap documentation built on Feb. 3, 2023, 6:52 a.m.