Detect outliers using Z-score with MAD for symmetric distributions

Outlier detection based on Median Absolute Deviation (MAD) for symmetric distributions. The function calculates the distance to the median for every value in the distribution relative to the MAD. It then compares the value to your threshold and labels the outliers.

Usage

is_outlier_single_mad(x, threshold = 3, na.rm = TRUE)

Arguments

x

A vector of numeric values.

threshold

Z-score threshold (defaults to 3).

na.rm

Remove NAs, defaults to TRUE.

Value

A logical vector.

Examples

x <- c(1, 2, 3, 3, 4, 4, 4, 5, 5.5, 6, 6, 6.5, 7, 7, 7.5, 8, 9, 12, 52, 90)

is_outlier_single_mad(x)
#>  [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE