Description Usage Arguments Details Author(s) Examples
Computes the Tukey depth of a point or vectors of points with respect to a multivariate data set.
1 | depthTukey(u, X, ndir = 1000, threads = -1, exact = FALSE)
|
u |
Numerical vector or matrix whose depth is to be calculated. Dimension has to be the same as that of the observations. |
X |
The data as a matrix, data frame or list. If it is a matrix or data frame, then each row is viewed as one multivariate observation. If it is a list, all components must be numerical vectors of equal length (coordinates of observations). |
ndir |
number of directions used in computations |
threads |
number of threads used in parallel computations. Default value -1 means that all possible cores will be used. |
exact |
if TRUE exact alhorithm will be used . Currently it works only for 2 dimensional data set. |
Irrespective of dimension, Projection and Tukey's depth is obtained by approximate calculation.
Returns the depth of multivariate point u
with respect to data set X
.
Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.
1 2 3 4 5 6 7 8 9 | ## Not run:
x <- matrix(rnorm(3000), nc = 3)
depthTukey(x, ndir = 2000)
## End(Not run)
# Exact algorithm in 2d
x <- matrix(rnorm(2000), nc = 2)
depthTukey(x, exact = TRUE)
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