kMAD | R Documentation |
Function for the computation of asymmetric median absolute deviation (kMAD)
It coincides with ordinary median absolute deviation (MAD) for k=1
.
kMAD(x,k,...)
## S4 method for signature 'numeric,numeric'
kMAD(x, k = 1, na.rm = TRUE,
eps = .Machine$double.eps, ... )
## S4 method for signature 'UnivariateDistribution,numeric'
kMAD(x, k = 1, up = NULL, ... )
x |
a numeric vector or a distribution. |
k |
numeric; tunning parameter for asymmetrical MAD; has to be of length 1 and larger than 1. |
na.rm |
logical; if |
eps |
numeric; accuracy up to which to state equality of two numeric values |
up |
numeric; upper bound for search interval; important in distributions without left/right endpoint. |
... |
additional arguments for other functions; not used so far; |
For kMAD (asymmetrial MAD) is a root of the equation:
\mathop{\rm kMAD}(F,k) = \inf\{t>0\;\mid \;F(m+kt)-F(m-t)\ge 1/2 \}
,
where F
is the cumulative distribution function, m
is the median of F
.
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de, Nataliya Horbenko nhorbenko@gmail.com
Ruckdeschel, P., Horbenko, N. (2010): Robustness Properties for Generalized Pareto Distributions. ITWM Report 182.
mad
x <- rnorm(100)
kMAD(x,k=10)
kMAD(Norm(),k=10)
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