alphaOutlier (version 1.2.0)

aout.hyper: Find $\alpha$-outliers in hypergeometric data

Description

Given the parameters of a hypergeometric distribution, aout.hyper identifies $\alpha$-outliers in a given data set.

Usage

aout.hyper(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 hypergeometric distribution: $m, n, k$.

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 TRUE. Defaults to FALSE.

Value

is.outlier that flags the outliers with TRUE. If hide.outliers is set to TRUE, a simple vector of the outlier-free data.

See Also

Hypergeometric

Examples

set.seed(1)
lotto6aus49 <- rhyper(100, 6, 43, 6) 
aout.hyper(lotto6aus49, c(6, 43, 6), 0.1)