Usage
coordProj(data, ..., dimens = c(1, 2),
type = c("classification","uncertainty","errors"), ask = TRUE,
quantiles = c(0.75, 0.95), symbols, scale = FALSE,
identify = FALSE, CEX = 1, PCH = ".", xlim, ylim)
Arguments
data
A numeric matrix or data frame of observations.
Categorical variables are not allowed.
If a matrix or data frame, rows correspond to observations and
columns correspond to variables.
dimens
A vector of length 2 giving the integer dimensions of the
desired coordinate projections. The default is
c(1,2)
, in which the first
dimension is plotted against the second.
...
One or more of the following:
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
type
Any subset of
c("classification","uncertainty","errors")
. The function will
produce the corresponding plot if it has been supplied sufficient
information to do so. If more than one plot is possible then users
will be asked to
ask
A logical variable indicating whether or not a menu should be
produced when more than one plot is possible. The default is
ask=TRUE
.
quantiles
A vector of length 2 giving quantiles used in plotting
uncertainty. The smallest symbols correspond to the smallest
quantile (lowest uncertainty), medium-sized (open) symbols to points
falling between the given quantiles, and large (filled) sy
symbols
Either an integer or character vector assigning a plotting symbol to
each unique class in classification
. Elements in
symbols
correspond to classes in classification
in
sorted order. Default: If G
scale
A logical variable indicating whether or not the two chosen
dimensions should be plotted on the same scale, and
thus preserve the shape of the distribution.
Default: scale=FALSE
identify
A logical variable indicating whether or not to add a title to the plot
identifying the dimensions used.
CEX
An argument specifying the size of the plotting symbols.
The default value is 1.
PCH
An argument specifying the symbol to be used when a classificatiion
has not been specified for the data. The default value is a small dot ".".
xlim, ylim
Arguments specifying bounds for the ordinate, abscissa of the plot.
This may be useful for when comparing plots.
Side Effects
Coordinate projections of the data, possibly showing location of the
mixture components, classification, uncertainty, and/or classification
errors.References
C. Fraley and A. E. Raftery (2002).
Model-based clustering, discriminant analysis, and density estimation.
Journal of the American Statistical Association 97:611-631.
See http://www.stat.washington.edu/mclust.
C. Fraley and A. E. Raftery (2002).
MCLUST:Software for model-based clustering, density estimation and
discriminant analysis.
Technical Report, Department of Statistics, University of Washington.
See http://www.stat.washington.edu/mclust.