Bootstrap sampling function for use with pre-designated strata proportions

Function for bootstrap summary statistics using data and pre-designated strata proportions.

bootstrapSRS(
        summary_variable,
        strata_variable,
        population_strata_proportions,
        sample_size=NULL,
        bootstrap_iterations=100,
        summary_statistic="mean",
        return_bootstrap_distribution=FALSE)

Arguments

summary_variable
strata_variable
population_strata_proportions
sample_size
bootstrap_iterations
summary_statistic
return_bootstrap_distribution

Details

Function calculates a summary statistic of existing data (e.g., mean) by re-sampling based upon designated strata proportions

Value

Function returns either a list (default) containing the summary statistic (e.g., mean) and standard deviation (i.e., standard error) for the bootstrap sample of that statistic or funtion returns a vector containing the bootstrap replication values.

Examples

	not_run({
  		bootstrapSRS <-
  		        data_table=sgpData_LONG[
                            CONTENT_AREA=="MATHEMATICS" &
                            GRADE=="5" &
                            YEAR=="2020_2021"][,
                                c("SCALE_SCORE", "ETHNICITY"),
                            with=FALSE],
  		        summary_variable="SCALE_SCORE",
  		        strata_variable="ETHNICITY",
  		        population_strata_proportions=
                  c('African American'=.157,
                    Asian=.054,
                    Hispanic=.261,
                    'Native American'=.033,
                    White=.495),
  		        sample_size=10000,
  		        bootstrap_iterations=100,
  		        summary_statistic="mean",
  		        return_bootstrap_distribution=FALSE)
  		
})
#> Error: <text>:8:40: unexpected ','
#> 7:                                 c("SCALE_SCORE", "ETHNICITY"),
#> 8:                             with=FALSE],
#>                                           ^