aout.binom {alphaOutlier} | R Documentation |
Find \alpha
-outliers in Binomial data
Description
Given the parameters of a Binomial distribution, aout.binom
identifies \alpha
-outliers in a given data set.
Usage
aout.binom(data, param, alpha = 0.1, hide.outliers = FALSE)
Arguments
data |
a vector. The data set to be examined. |
param |
a vector. Contains the parameters of the Binomial distribution, |
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 |
Value
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.
Author(s)
A. Rehage
See Also
Examples
data(uis)
medbeck <- median(uis$BECK)
aout.binom(data = uis$BECK, param = c(54, medbeck/54), alpha = 0.001)
[Package alphaOutlier version 1.2.0 Index]