hcaScores | R Documentation |
A wrapper which performs HCA on the scores from a PCA of a
Spectra
object or POP/MIA/PARAFAC of a Spectra2D
object.
Many methods for computing the clusters and distances are
available.
hcaScores(
spectra,
so,
scores = c(1:5),
c.method = "complete",
d.method = "euclidean",
use.sym = FALSE,
leg.loc = "topright",
...
)
spectra |
An object of S3 class |
so |
"Score Object" One of the following:
Any of the above score objects will have been modified to include a
list element called |
scores |
A vector of integers specifying the components (scores) to plot. |
c.method |
A character string describing the clustering method; must be
acceptable to |
d.method |
A character string describing the distance calculation
method; must be acceptable as a method in |
use.sym |
A logical; if true, use no color and use lower-case letters
to indicate group membership. Applies only to |
leg.loc |
Character; if |
... |
Parameters to be passed to the plotting routines. Applies to base graphics only. |
A list, containing an object of class hclust
and an
object of class dendrogram
. The side effect is a plot.
Bryan A. Hanson (DePauw University).
hclust
for the underlying function. See
hcaSpectra
for HCA of the entire data set stored in the
Spectra
object.
if (checkForPackageWithVersion("ChemoSpec", 6.0)) {
library("ChemoSpec")
data(metMUD1)
pca <- c_pcaSpectra(metMUD1)
hca <- hcaScores(metMUD1, pca, main = "metMUD1 NMR Data PCA Scores")
}
if (checkForPackageWithVersion("ChemoSpec2D", 0.5)) {
library("ChemoSpec2D")
data(MUD1)
mia <- miaSpectra2D(MUD1)
hca <- hcaScores(MUD1, mia, scores = 1:2, main = "MUD1 MIA Scores")
set.seed(123)
pfac <- pfacSpectra2D(MUD1, parallel = FALSE, nfac = 2)
hca <- hcaScores(MUD1, pfac, scores = 1:2, main = "MUD1 PARAFAC Scores")
}
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