OutlierSign2-class | R Documentation |
"OutlierSign2"
- Outlier identification in high dimensions using the SIGN2 algorithmFast algorithm for identifying multivariate outliers in high-dimensional and/or large datasets, using spatial signs, see Filzmoser, Maronna, and Werner (CSDA, 2007). The computation of the distances is based on principal components.
Objects can be created by calls of the form new("OutlierSign2", ...)
but the
usual way of creating OutlierSign2
objects is a call to the function
OutlierSign2()
which serves as a constructor.
covobj
:A list containing intermediate results of the SIGN2 algorithm for each class
call
, counts
, grp
, wt
,
flag
, method
, singularity
:from the "Outlier"
class.
Class "Outlier"
, directly.
Return the cutoff value used to identify outliers
Return a vector containing the computed distances
Valentin Todorov valentin.todorov@chello.at
P. Filzmoser, R. Maronna and M. Werner (2008). Outlier identification in high dimensions, Computational Statistics & Data Analysis, Vol. 52 1694–1711.
Filzmoser P & Todorov V (2013). Robust tools for the imperfect world, Information Sciences 245, 4–20. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.ins.2012.10.017")}.
OutlierSign2
, OutlierSign1
, Outlier
showClass("OutlierSign2")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.