Returns a named list with summary statistics, Kish ESS, design effect, weight-range ratio, and percentile vector.
Examples
set.seed(1)
morie_weights_diagnostics(runif(30, 0.5, 2))
#> $n
#> [1] 30
#>
#> $sum_weights
#> [1] 37.92986
#>
#> $mean_weight
#> [1] 1.264329
#>
#> $median_weight
#> [1] 1.16286
#>
#> $std_weight
#> [1] 0.44292
#>
#> $min_weight
#> [1] 0.5200855
#>
#> $max_weight
#> [1] 1.987859
#>
#> $cv
#> [1] 0.3503204
#>
#> $effective_sample_size
#> [1] 26.81843
#>
#> $design_effect
#> [1] 1.118634
#>
#> $weight_range_ratio
#> [1] 3.822178
#>
#> $n_zero
#> [1] 0
#>
#> $n_negative
#> [1] 0
#>
#> $percentiles
#> 1% 5% 10% 25% 50% 75% 90% 95%
#> 0.5411377 0.6357234 0.7571849 0.8989050 1.1628600 1.6351785 1.8662863 1.9102831
#> 99%
#> 1.9673137
#>
