plotMvloc | R Documentation |
Visually presents and compares different multivariate location estimates and their confidence ellipsoids.
plotMvloc(est1, est2 = NULL, est3 = NULL, X = NULL, alim = NULL,
color.ell = 2:4, color.points = grey(0.5),
lty.ell = rep(1, 3), pch.ell = rep(16, 3),
lwd.ell = rep(1, 3), cex.ell = rep(1, 3),
pch.points = 1, level = 0.95, npoints = 100,
x.legend, y.legend, cex.legend = 1, pty = "s", gap = 1,
oma.bottom, labels, cex.labels = 2, main, ...)
est1 |
The location of interest. A list with the components |
est2 |
An optional additional location estimate. A list with the components |
est3 |
An optional additional location estimate. A list with the components |
X |
a numeric data frame or matrix. Optional data points on which the estimates could have been based. |
alim |
can be |
color.ell |
vector of length 3 that gives the colors for the corresponding estimates |
color.points |
the color of the data points. |
lty.ell |
line types of the confidence ellipsoids. |
pch.ell |
plotting symbols for the location estimates, the centers of the confidence ellipsoids. |
lwd.ell |
line width values of the confidence ellipsoids. |
cex.ell |
cex values for the location estimates, the centers of the confidence ellipsoids. |
pch.points |
plotting symbol for the data points |
level |
the level of the confidence ellipsoids. |
npoints |
the number of points used to approximate each ellipsoid. |
x.legend |
vertical position of the legend. By default tries to find for 2 to 4 dimensional data a good location. If |
y.legend |
horicontal position of the legend. By default tries to find for 2 to 4 dimensional data a good location. If |
cex.legend |
|
pty |
|
gap |
distance between subplots, in margin lines. |
oma.bottom |
|
labels |
optional labels for the diagonals. |
cex.labels |
|
main |
optional title of the plot. |
... |
further arguments passed to or from other methods. |
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.
A scatterplot matrix.
Klaus Nordhausen
ellipse
, plotShape
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")
plotMvloc(est1)
plotMvloc(est1, est2, est3, X, alim="b", lty.ell=1:3, pch.ell=14:16)
plotMvloc(est1, est2, est3, X, alim="e")
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