LdaClassic {rrcov} | R Documentation |
Linear Discriminant Analysis
Description
Performs a linear discriminant analysis and returns the results as an object of class LdaClassic
(aka constructor).
Usage
LdaClassic(x, ...)
## Default S3 method:
LdaClassic(x, grouping, prior = proportions, tol = 1.0e-4, ...)
Arguments
x |
a matrix or data frame containing the explanatory variables (training set). |
grouping |
grouping variable: a factor specifying the class for each observation. |
prior |
prior probabilities, default to the class proportions for the training set. |
tol |
tolerance |
... |
arguments passed to or from other methods. |
Value
Returns an S4 object of class LdaClassic
Author(s)
Valentin Todorov valentin.todorov@chello.at
References
Todorov V & Filzmoser P (2009), An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. doi:10.18637/jss.v032.i03.
See Also
Examples
## Example anorexia
library(MASS)
data(anorexia)
## rrcov: LdaClassic()
lda <- LdaClassic(Treat~., data=anorexia)
predict(lda)@classification
## MASS: lda()
lda.MASS <- lda(Treat~., data=anorexia)
predict(lda.MASS)$class
## Compare the prediction results of MASS:::lda() and LdaClassic()
all.equal(predict(lda)@classification, predict(lda.MASS)$class)
[Package rrcov version 1.7-5 Index]