plotShape | R Documentation |
Function for visual comparisons for up to three shape matrices.
plotShape(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 = 0.5, npoints = 100,
x.legend, y.legend, cex.legend = 1, pty = "s", gap = 1,
oma.bottom, labels, cex.labels = 2, main, ...)
est1 |
The shape matrix of interest. A list with the components |
est2 |
An optional additional shape matrix. A list with the components |
est3 |
An optional additional shape matrix. 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 proportion of the data points that should be inside the ellipses. If there is no data the value for |
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. |
All scatter matrices are standardized to have determinant 1. If X
is given, the Mahalanobis distances based on the location and shape estimates are computed, and t
in the function ellipse
is the level quantile of the Mahalanobis distances. If no X
is provided t
equals level
.
The location of the legend is currently problematic and it is recommended that the user should provide the coordinates for the legend.
A scatter plot matrix.
Klaus Nordhausen
ellipse
, plotMvloc
X <- rmvt(100, diag(3), df=3)
EST1 <- list(location=colMeans(X), scatter=cov(X), est.name="COV")
HR <- HR.Mest(X)
EST2 <- list(location=HR$center, scatter=HR$scatter, est.name="Tyler")
plotShape(EST1,EST2, X=X)
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