print.mvout {mvout} | R Documentation |
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 |
... |
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 <delga220@umn.edu> Nathaniel E. Helwig <helwig@umn.edu>
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
[Package mvout version 1.2 Index]