Makes two presentation-ready tables that summarize the statistics from the bootstrapped samples and the parameters for creating the bootstrapped samples.
tabulate_stats.Rd
A bootstrapped confidence interval for the desired estimator for
the provided sample is calculated for a confidence level level
.
Other stats and parameters of the distribution and sample are
also returned.
Arguments
- stat_list
A named list of the summary statistics produced by the
calculate_boot_stats
function- precision
A integer value for the precision of the table values
- path
A character vector with the path to where the tables are to be saved to
Value
a list containing 2 tibble objects: table 1- summary statistics table 2- bootstrapping parameters
Examples
st <- calculate_boot_stats(c(1, 2, 3, 4), 1000, level = 0.95, seed = 123)
result <- tabulate_stats(st)
result[[1]] # stats table
#> # A tibble: 1 × 4
#> `Sample Mean` `Lower Bound CI` `Upper Bound CI` `Standard Error`
#> <dbl> <dbl> <dbl> <dbl>
#> 1 2.5 1.5 3.5 0.55
result[[2]] # parameter table
#> # A tibble: 1 × 3
#> `Sample Size` Repetitons `Significance Level`
#> <int> <dbl> <dbl>
#> 1 4 1000 0.05