bigutilsr: tukey_mc_up – R documentation

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tukey_mc_up

Outlier detection threshold (upper)

Outlier detection threshold (upper) based on Tukey's rule, corrected for skewness using the 'medcouple', and possibly corrected for multiple testing.

tukey_mc_up(x, coef = NULL, alpha = 0.05, a = -4, b = 3)

`x`	Numeric vector. Should be somewhat normally distributed.
`coef`	number determining how far 'whiskers' extend out from the box. If `NULL` (default), this is computed to get an type-I error of `alpha`, after adjusting for multiple testing. A standard value to use is `1.5`.
`alpha`	See `coef`. Default is `0.05`.
`a`	scaling factors multiplied by the medcouple `mc()` to determine outlyer boundaries; see the references.
`b`	scaling factors multiplied by the medcouple `mc()` to determine outlyer boundaries; see the references.

Hubert, M. and Vandervieren, E. (2008). An adjusted boxplot for skewed distributions, Computational Statistics and Data Analysis 52, 5186–5201.

hist(x <- c(rnorm(3, m = 6), rnorm(1e4, m = 0)))
(q <- tukey_mc_up(x))
abline(v = q, col = "red")
which(x > q)

Utility Functions for Large-scale Data

v0.3.4

GPL-3

Authors

Florian Privé [aut, cre]

Initial release

2021-04-08