generateOutliers: Adds Outliers to a Vector, Matrix or Data Frame

In outForest: Multivariate Outlier Detection and Replacement

Description

Takes a vector, matrix or data frame and replaces some numeric values by outliers.

Usage

generateOutliers(x, p = 0.05, sd_factor = 5, seed = NULL)

Arguments

x	A vector, matrix or data.frame.
p	Proportion of outliers to add to x. In case x is a data.frame, p can also be a vector of probabilities per column or a named vector (see examples).
sd_factor	Each outlier is generated by shifting the original value by a realization of a normal random variable with sd_factor times the original sample standard deviation.
seed	An integer seed.

Value

x with outliers.

See Also

outForest.

Examples

generateOutliers(1:10, seed = 334, p = 0.3)
generateOutliers(cbind(1:10, 10:1), p = 0.2)
head(generateOutliers(iris))
head(generateOutliers(iris, p = 0.2))
head(generateOutliers(iris, p = c(0, 0, 0.5, 0.5, 0.5)))
head(generateOutliers(iris, p = c(Sepal.Length = 0.2)))

outForest documentation built on Jan. 31, 2022, 9:07 a.m.