Boxplot outlier rules on the ideal fourths

Unlike boxplot(), the quartiles come from the ideal fourths. With carling = TRUE the fence is Carling's (2000) modification, centred on the MEDIAN with a sample-size dependent multiplier (17.63 n - 23.64) / (7.74 n - 3.71).

Usage

morie_boxplot_outliers(x, carling = FALSE, gval = NULL)

Arguments

x

numeric vector

carling

use Carling's modification

gval

override the fence multiplier

Value

list with lower, upper, gval, iqr, is_outlier, outliers, keep, n_outliers

Examples

V <- c(1, 2, 3, 4, 5, 6, 7, 8)
morie_boxplot_outliers(V)
#> $lower
#> [1] -3.833333
#> 
#> $upper
#> [1] 12.83333
#> 
#> $gval
#> [1] 1.5
#> 
#> $iqr
#> [1] 4.166667
#> 
#> $is_outlier
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> 
#> $outliers
#> numeric(0)
#> 
#> $keep
#> [1] 1 2 3 4 5 6 7 8
#> 
#> $n
#> [1] 8
#> 
#> $n_outliers
#> [1] 0
#>