spinProj {mclust} | R Documentation |
Plots random 2-D projections with suggessive rotations through a specified angles given data in more than two dimensions and parameters of an MVN mixture model.
spinProj(data, ..., angles, seed = 0, reflection = FALSE, type = c("classification", "uncertainty", "errors"), ask = TRUE, quantiles = c(0.75,0.95), symbols, scale = FALSE, identify = FALSE, CEX = 1, PCH = ".", xlim, ylim)
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. |
... |
Any number of the following:
|
angles |
The angles (in radians) through which successive projections should be rotated or reflected. |
seed |
A integer between 0 and 1000, inclusive, for specifying a seed for
generating the initial random projection. The default value is 0.
The seed/projection correspondence is the same as in
randProj .
|
reflection |
A logical variable telling whether or not the data should be reflected or rotated through the given angles. The default is rotation. |
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 choose from a menu if ask=TRUE .
|
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) symbols to those in the largest quantile (highest uncertainty). The default is (0.75,0.95). |
symbols |
Either an integer or character vector assigning a plotting symbol to
each unique class classification . Elements in symbols
correspond to classes in classification in order of
appearance in classification (the order used by the S-PLUS
function unique ). Default: If G is the number of
groups in the classification, the first G symbols in
.Mclust\$symbols , otherwise if G is less than 27 then
the first G capital letters in the Roman alphabet.
|
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. |
Rotations or reflections of a random projection of the data, possibly showing location of the mixture components, classification, uncertainty and/or classfication errors.
C. Fraley and A. E. Raftery (2002a). 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 (2002b). 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.
coordProj
,
randProj
,
mclust2Dplot
,
mclustOptions
,
do.call
data(iris) irisMatrix <- as.matrix(iris[,1:4]) irisClass <- iris[,5] msEst <- mstepVVV(irisMatrix, unmap(irisClass)) par(pty = "s", mfrow = c(2,2)) spinProj(irisMatrix, seed = 1, truth=irisClass, mu = msEst$mu, sigma = msEst$sigma, z = msEst$z) do.call("spinProj", c(list(data = irisMatrix, seeds = 2, truth=irisClass), msEst))