is_outlier returns a logical vector indicating whether a value is an outlier based on the rule of 1.5 times the interquartile range above the third quartile or below the first quartile.

is_outlier(x, na.rm = FALSE)

Arguments

x

A numerical vector

na.rm

A logical value indicating whether NA values should be stripped before the computation proceeds. Defaults to FALSE.

Value

A logical vector.

See also

Examples

x <- c(1:8, NA, 15) is_outlier(x, na.rm = TRUE)
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE NA TRUE