| Qda-class {rrcov} | R Documentation |
The class Qda serves as a base class for deriving
all other classes representing the results of classical
and robust Quadratic Discriminant Analisys methods
A virtual Class: No objects may be created from it.
call:prior:counts:center:cov:covinv:covdet:method:X:grp:control:"CovControl" specifying which estimate
and with what estimation options to use for the group means and covariances
(or NULL for classical discriminant analysis)signature(object = "Qda"): calculates prediction using the results in
object. An optional data frame or matrix in which to look for variables with which
to predict. If omitted, the scores are used. If the original fit used a formula or
a data frame or a matrix with column names, newdata must contain columns with the
same names. Otherwise it must contain the same number of columns,
to be used in the same order. signature(object = "Qda"): prints the results signature(object = "Qda"): prints summary information Valentin Todorov valentin.todorov@chello.at
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. URL http://www.jstatsoft.org/v32/i03/.
QdaClassic, QdaClassic-class, QdaRobust-class
showClass("Qda")