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Last data update: 2014.03.03

R: Plotting Method for mvloc Objects

plot.mvloc

R Documentation

Plotting Method for mvloc Objects

Description

Visually presents and compares different multivariate location estimates and their confidence ellipsoids.

Usage

## S3 method for class 'mvloc'
plot(x, est2 = NULL, est3 = NULL, X = NULL, ...)

Arguments

`x`	an object of class `mvl1lm`.
`est2`	An optional additional location estimate. A list with the components `location`, `vcov` and `est.name`, for example an object of class 'mvloc'.
`est3`	An optional additional location estimate. A list with the components `location`, `vcov` and `est.name`, for example an object of class 'mvloc'.
`X`	a numeric data frame or matrix. Optional data points on which the estimates could have been based.
`...`	optional plotting arguments. For details see `plotMvloc` .

Details

The figure can be used to compare different multivariate location estimates. The location of the legend is currently problematic and it is recommended that the user should provide the coordinates for the legend. The function calls plotMvloc.

Author(s)

Klaus Nordhausen

Examples

X <- rmvt(50, diag(c(1, 2)), 3)

est1 <- mv.1sample.est(X)
est2 <- mv.1sample.est(X, "sign")
est3 <- mv.1sample.est(X, "rank", "inner")

plot(est1)
plot(est1, est2, est3, X, alim="b", lty.ell=1:3, pch.ell=14:16)
plot(est1, est2, est3, X, alim="e")

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(MNM)
Loading required package: ICSNP
Loading required package: mvtnorm
Loading required package: ICS
Loading required package: SpatialNP
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MNM/plot.mvloc.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.mvloc
> ### Title: Plotting Method for mvloc Objects
> ### Aliases: plot.mvloc
> ### Keywords: methods
> 
> ### ** Examples
> 
> X <- rmvt(50, diag(c(1, 2)), 3)
> 
> est1 <- mv.1sample.est(X)
> est2 <- mv.1sample.est(X, "sign")
> est3 <- mv.1sample.est(X, "rank", "inner")
> 
> plot(est1)
> plot(est1, est2, est3, X, alim="b", lty.ell=1:3, pch.ell=14:16)
> plot(est1, est2, est3, X, alim="e")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>