Description Usage Arguments Value Author(s) References See Also Examples
Given the parameters of a normal distribution, aout.norm
identifies α-outliers in a given data set.
1 |
data |
a vector. The data set to be examined. |
param |
a vector. Contains the parameters of the normal distribution: μ, σ. |
alpha |
an atomic vector. Determines the maximum amount of probability mass the outlier region may contain. Defaults to 0.1. |
hide.outliers |
boolean. Returns the outlier-free data if set to |
Data frame of the input data and an index named is.outlier
that flags the outliers with TRUE
. If hide.outliers
is set to TRUE
, a simple vector of the outlier-free data.
A. Rehage
Gather, U.; Kuhnt, S.; Pawlitschko, J. (2003) Concepts of outlyingness for various data structures. In J. C. Misra (Ed.): Industrial Mathematics and Statistics. New Delhi: Narosa Publishing House, 545-585.
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