The plot
method for classes tclust
and tkmeans
.
1 2 3 4 
x 
The 
... 
Further (optional) arguments which specify the details of the resulting plot (see section "Further Arguments"). 
One and two dimensional structures are treated separately
(e.g. tolerance intervals/ellipses are displayed).
Higher dimensional structures are displayed by plotting the two first Fisher's
canonical coordinates (evaluated by discr_coords
)
and derived from the final cluster assignments (trimmed observations are not
taken into account). plot.tclust.Nd
can be called with one or
twodimensional tclust
objects too.
The function fails, if "store.x = FALSE
" is specified in
tclust
, because the original data matrix is required
here.
xlab, ylab, xlim, ylim, pch, col
Arguments passed to plot
.
main
The title of the plot.
Use "/p" for displaying the chosen parameters alpha
and k
or "/r" for plotting the chosen restriction (tclust
only).
main.pre
An optional string which is added to the plot's caption.
sub
A string specifying the subtitle of the plot.
Use "/p" (default) for displaying the chosen parameters alpha
and k
, "/r" for plotting the chosen restriction (tclust
only) and "/pr" for both.
sub1
A secondary (optional) subtitle.
labels
A string specifying the type of labels to be drawn. Either "none"
(default), "cluster"
or "observation"
can be specified.
If specified, parameter pch
is ignored.
text
A vector of length n
(the number of observations) containing strings
which are used as labels for each observation.
If specified, the parameters labels
and pch
are ignored.
by.cluster
Logical value indicating whether parameters pch
and col
refer to observations (FALSE
) or clusters (TRUE
).
jitter.y
Logical value, specifying whether the drawn values shall be jittered in ydirection for better visibility of structures in 1 dimensional data.
tol
The tolerance interval.
95% tolerance ellipsoids (assuming normality) are plotted by default (tclust
only).
tol.col, tol.lty, tol.lwd
Vectors of length k
or 1
containing the col
,
lty
and lwd
arguments for the tolerance ellipses/lines (tclust
only).
Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23  # EXAMPLE 1
sig < diag (2)
cen < rep (1, 2)
x < rbind (
rmvnorm (360, cen * 0, sig),
rmvnorm (540, cen * 5, sig * 6  2),
rmvnorm (100, cen * 2.5, sig * 50)
)
# Two groups and 10% trimming level
a < tclust (x, k = 2, alpha = 0.1, restr.fact = 12)
plot (a)
plot (a, labels = "observation")
plot (a, labels = "cluster")
plot (a, by.cluster = TRUE)
# EXAMPLE 2
x < c( rnorm(72, 0, 1),
rnorm(108, 10, 1),
rnorm(20, 2.5, 10))
a < tkmeans (x, k = 2, alpha = 0.1)
plot (a, jitter.y = TRUE)

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