lda.ct | R Documentation |
A continuous-time version of Fisher's LDA, in which segments of the time interval take the place of groups of observations.
lda.ct(fdobj, partition, part.names = NULL)
fdobj |
continuous-time multivariate data set of class |
partition |
a priori break points dividing the time interval into segments |
part.names |
optional character vector of names for the segments |
The means
and scaling
components of the output are similar to
lda
, but unlike that function, lda.ct
performs only
Fisher's LDA and cannot incorporate priors or perform classification.
Object of class "lda.ct
", a list consisting of
means |
means of the variables within each segment |
scaling |
matrix of coefficients defining the discriminants (as in |
values |
eigenvalues giving the ratios of between to within sums of squares |
partition |
the supplied |
fdobj |
linear discriminants represented as an |
nld |
number of linear discriminants |
Biplab Paul <paul.biplab497@gmail.com> and Philip Tzvi Reiss <reiss@stat.haifa.ac.il>
plot.lda.ct
; lda
, for the classical version
## see end of example in ?pca.ct
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.