Outlier detection threshold (upper) based on Tukey's rule, corrected for
skewness using the 'medcouple', and possibly corrected for multiple testing.
Usage
tukey_mc_up(x, coef = NULL, alpha = 0.05, a = -4, b = 3)
Arguments
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.
References
Hubert, M. and Vandervieren, E. (2008).
An adjusted boxplot for skewed distributions,
Computational Statistics and Data Analysis52, 5186--5201.