Linear Discriminant Analysis
Performs a linear discriminant analysis and returns the results as an object of class LdaClassic (aka constructor).
LdaClassic(x, ...) ## Default S3 method: LdaClassic(x, grouping, prior = proportions, tol = 1.0e-4, ...)
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. |
Returns an S4 object of class LdaClassic
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/.
## 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)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.