This function conducts an mclust analysis of the PCA results of a
Spectra
object and displays the results in 3D. Classical or
robust confidence ellipses can be added if desired. Improperly classified
data points can be marked. rgl graphics are employed.
mclust3dSpectra(spectra, pca, pcs = c(1:3), ellipse = TRUE, rob = FALSE,
cl = 0.95, frac.pts.used = 0.8, truth = NULL,
title = "no title provided", t.pos = NULL, lab.opts = FALSE,
use.sym = FALSE, ...)
An object of S3 class Spectra
.
An object of class prcomp
.
An integer vector describing which PCs to use.
Logical indicating if confidence ellipses should be drawn.
Logical; if ellipse = TRUE
, indicates that robust
confidence ellipses should be drawn. If FALSE
, classical confidence
ellipses are drawn.
A number indicating the confidence interval for the ellipse.
If ellipse = TRUE
and rob = TRUE
, a
number indicating the fraction of the data points to be considered "good"
and thus used to compute the robust confidence ellipse.
A character vector indicating the known group membership for
reach row of the PC scores. Generally this would be spectra$groups
.
#' @param title A character string for the plot title.
A character string giving the title.
A character selection from LETTERS[1:8]
( = A through H)
indicating the desired location for the title.
A logical indicating whether or not to display the locations where the title and legend can be placed. These locations are the corners of a cube surrounding the data.
Logical; if true, the color scheme is changed to black and symbols are used for plotting.
Other parameters to be passed downstream.
The mclust model is returned invisibly, and a plot is produced.
If you intend to make a hard copy of your plot, use lab.opts = TRUE
until you have found a good view of your data. Then note corners of the
cube where the title won't interfere with viewing the data, and use this for
t.pos
, and add title
. Adjust as necessary, then turn off
label display using lab.opts = FALSE
. Back at the console, use
> rgl.snapshot("file_name.png")
to create the hardcopy.
Note that the confidence ellipses computed here are generated independently
of the Mclust
results - they do not correspond to the ellipses seen
in 2D plots from Mclust
.
Mclust
for background on the method.
# NOT RUN {
# }
# NOT RUN {
require(mclust)
data(metMUD1)
class <- c_pcaSpectra(metMUD1)
mclust3dSpectra(metMUD1, class, title = "mclust3dSpectra demo",
lab.opts = FALSE, t.pos = "A")
# }
# NOT RUN {
# }
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