Description Usage Arguments Details Value Author(s) References See Also Examples
Produces a normal DD plot of a multivirate dataset.
1 2 |
x |
The data sample for DD plot. |
size |
size of theoretical set |
robust |
Logical. Dafault |
alpha |
cutoff point for robust measure of covariance. |
title |
title of a plot. |
... |
Parameters passed to |
In the first step the location and scale of x are estimated and theoretical sample from normal distribution with those parameters is generated. The plot presents the depth of empirical points with respect to dataset x and with respect to the theoretical sample.
Returns the normal depth versus depth plot of multivariate dataset x
.
Daniel Kosiorowski, Mateusz Bocian, Anna Wegrzynkiewicz and Zygmunt Zawadzki from Cracow University of Economics.
Liu, R.Y., Parelius, J.M. and Singh, K. (1999), Multivariate analysis by data depth: Descriptive statistics, graphics and inference (with discussion), Ann. Statist., 27, 783-858.
Liu, R.Y., Singh K. (1993), A Quality Index Based on Data Depth and Multivariate Rank Test, Journal of the American Statistical Association vol. 88.
ddPlot
to generate ddPlot to compare to datasets or to compare a dataset with other distributions.
1 2 3 4 5 6 7 8 9 10 | # EXAMPLE 1
norm = mvrnorm(1000, c(0,0,0), diag(3))
con = mvrnorm(100, c(1,2,5), 3*diag(3))
sample = rbind(norm, con)
ddMvnorm(sample, robust=TRUE)
# EXAMPLE 2
data(under5.mort,inf.mort,maesles.imm)
data1990=na.omit(cbind(under5.mort[,1],inf.mort[,1],maesles.imm[,1]))
ddMvnorm(data1990, robust=FALSE)
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Loading required package: ggplot2
Loading required package: Rcpp
Loading required package: rrcov
Loading required package: robustbase
Scalable Robust Estimators with High Breakdown Point (version 1.4-3)
Loading required package: MASS
Loading required package: np
Nonparametric Kernel Methods for Mixed Datatypes (version 0.60-3)
[vignette("np_faq",package="np") provides answers to frequently asked questions]
[vignette("np",package="np") an overview]
[vignette("entropy_np",package="np") an overview of entropy-based methods]
Attaching package: 'DepthProc'
The following object is masked from 'package:base':
as.matrix
DDPlot
Depth Metohod:
ProjectionDDPlot
Depth Metohod:
Projection
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