spatial.sign2 | R Documentation |
The function computes the spatial signs for a data set. This function differs from the function spatial.sign
in the way
how observations with small norms are treated. For details see below.
spatial.sign2(X, center = TRUE, shape = TRUE, eps.S = 1e-05,
na.action = na.fail, ...)
X |
a numeric data frame or matrix. |
center |
either a logical value or a numeric vector of length equal to the number of columns of 'X'. See below for more information. |
shape |
either a logical value or a square numeric matrix with number of columns equal to the number of columns of 'X'. See below for more information. |
eps.S |
treshold value which defines which obersvations are considered to have a small norm. |
na.action |
a function which indicates what should happen when the data contain 'NA's. Default is to fail. |
... |
arguments that can be passed on to functions used for the estimation of location and shape. |
The spatial signs U of X with location \mu
and shape V are given by transforming the data points
z_i = (x_{i}-\mu)V^{-\frac{1}{2}}
and then computing
u_{i}=\frac{z_i}{\| z_i \|}.
If a numeric value is given as 'center' and/or 'shape' these are used as \mu
and/or V in the above formula.
If 'center' and/or 'shape' are 'TRUE' the values for \mu
and/or V are estimated, if 'FALSE' the origin is used as the
value of \mu
and/or the identity matrix as the value of V.
When the norm \| z_i \|
is 0 then the spatial sign is set usually to 0 as for example in the function
spatial.sign
. Here however if the spatial designs are defined as
u_{i}=\frac{z_i}{\| z_i \|} I(\| z_i \| > eps.S) + \frac{z_i}{eps.S} I(\| z_i \| \leq eps.S).
a matrix with the spatial signs of the data as rows or the univariate signs as a px1 matrix. The centering vector and scaling matrix used are returned as attributes 'center' and 'shape'.
Klaus Nordhausen
spatial.sign
, HR.Mest
# comparing spatial.sign and spatial.sign2
data(pulmonary)
head(spatial.sign2(pulmonary, c(-0.1099999,-0.12,-4.3),FALSE))
head(spatial.sign(pulmonary, c(-0.1099999,-0.12,-4.3),FALSE))
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