Stray anomalies

Test if observations are anomalies according to the stray algorithm.

Usage

stray_anomalies(y, ...)

Arguments

y

A vector, matrix, or data frame consisting of numerical variables.

...

Other arguments are passed to find_HDoutliers.

Value

Numerical vector containing logical values indicating if the observation is identified as an anomaly using the stray algorithm.

Author

Rob J Hyndman

Examples

# Univariate data
y <- c(6, rnorm(49))
stray_anomalies(y)
#>  [1]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [49] FALSE FALSE
# Bivariate data
y <- cbind(rnorm(50), c(5, rnorm(49)))
stray_anomalies(y)
#>  [1]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [49] FALSE FALSE