predict.rrlda
From rrlda v1.1
by Moritz Gschwandtner
Class Prediction for rrlda objects
Computes class predictions for new data based on a given rrlda object.
- Keywords
- file
Usage
"predict"(object, x, ...)
Arguments
- object
- An object of class "rrlda".
- x
- New data for which the classes are to predict
- ...
- Argument used by generic function predict(object, x, ...).
Details
Based on the estimated inverse covariance matrix and the mean of each group (stored in object), discriminant values are computed. An observations is classified as group k, if the corresponding discriminant value is a minimum.
Value
- class
- Class prediction for each observation.
- posterior
- Discriminant values.
Examples
data(iris)
x <- iris[,1:4]
rr <- rrlda(x, grouping=as.numeric(iris[,5]), lambda=0.2, hp=0.75) ## perform rrlda
pred <- predict(rr, x) ## predict
table(as.numeric(pred$class), as.numeric(iris[,5])) ## show errors
Community examples
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