Calculations are based on lsdepth algorithm written by Ch. Muller.
References
Mizera, I., Muller, C. H., 2004. Location-scale depth (with discussion). Journal of the American Statistical Association 99, 949-966.
Examples
## EXAMPLE 1 for F-distribution
dcont = lsdSampleDepthContours(rf(200,4,7))
plot(dcont)
## EXAMPLE 2 for normal distribution
## - more contours calculated
dcont_norm = lsdSampleDepthContours(rnorm(100),seq(0.05,0.4,0.05))
plot(dcont_norm)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(DepthProc)
Loading required package: ggplot2
Loading required package: Rcpp
Loading required package: rrcov
Loading required package: robustbase
Scalable Robust Estimators with High Breakdown Point (version 1.3-11)
Loading required package: MASS
Loading required package: np
Nonparametric Kernel Methods for Mixed Datatypes (version 0.60-2)
[vignette("np_faq",package="np") provides answers to frequently asked questions]
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DepthProc/lsdSampleDepthContours.Rd_%03d_medium.png", width=480, height=480)
> ### Name: lsdSampleDepthContours
> ### Title: Calculate sample Mizera and Muller Student depth contours
> ### Aliases: lsdSampleDepthContours
>
> ### ** Examples
>
> ## EXAMPLE 1 for F-distribution
> dcont = lsdSampleDepthContours(rf(200,4,7))
> plot(dcont)
>
> ## EXAMPLE 2 for normal distribution
> ## - more contours calculated
> dcont_norm = lsdSampleDepthContours(rnorm(100),seq(0.05,0.4,0.05))
> plot(dcont_norm)
>
>
>
>
>
> dev.off()
null device
1
>