print.mvout: Print method for Robust Multivariate Outlier Detection

In mvout: Robust Multivariate Outlier Detection

Print method for Robust Multivariate Outlier Detection

Description

print method for class "mvout".

Usage

## S3 method for class 'mvout'
print(x, ...)

Arguments

x	Object of class mvout
...	Additional arguments (ignored).

Details

Prints the percentage of observations flagged as outliers, five quantiles of the robust Mahalanobis distances, and basic information about the options used for the outlier detection.

Value

Nothing returned (just prints to console).

Author(s)

Jesus E. Delgado <[e-mail]> Nathaniel E. Helwig <[e-mail]>

See Also

mvout for estimation of (robust) location/scatter.

predict.mvout for obtaining predictions from mvout objects.

Examples

# generate some data
n <- 200
p <- 2
set.seed(0)
x <- matrix(rnorm(n * p), n, p)

# detect outliers
set.seed(1)    # for reproducible MCD estimate
out <- mvout(x)

# print results
out

mvout documentation built on June 8, 2025, 10:41 a.m.