| rstinterval {rsdepth} | R Documentation |
Bivariate RS Rings
Description
Computes the Ray Shooting rings of a bivariate data set.
Usage
rstinterval(pt, beta=c(0.90), sampleSize=c(250), M=c(50),clr=FALSE, ...)
Arguments
pt |
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). Only 2-dimensional data is acceptable in this version. |
beta |
beta is a parameter between 0 and 1 determines the accuracy of the interval. Set to 0.90 by default. |
sampleSize |
Size of the sample data set. |
M |
Size of test data set. |
clr |
Clear the canvas before use or not. Boolean and set to FALSE by default |
... |
Reserved for future use. |
Details
This function creates a two dimension generalization of confidence intervals of data. A bag that contains beta fraction of data points is constructed.
Value
Should not return anything
Author(s)
Nabil Mustafa, Saurabh Ray, and Mudassir Shabbir.
References
N. Mustafa, S. Ray, and M. Shabbir, Statistical Data Depth of Pointsets in the Plane,in prep..
See Also
rsdepth for depth function
Examples
## RS median of a two-dimensional data set
set.seed(617)
zz <- matrix(rnorm(600), nc = 2)
rstinterval(zz)