R: Regularized Discriminant Analysis (RDA)

predict.rda {klaR} | R Documentation

## Regularized Discriminant Analysis (RDA)

### Description

Classifies new observations using parameters determined by the `rda`-function.

### Usage

    ## S3 method for class 'rda'
    predict(object, newdata, posterior = TRUE,
        aslist = TRUE, ...)

### Arguments

`object` | Object of class `rda`.
`newdata` | Data frame (or matrix) of cases to be classified.
`posterior` | Logical; indicates whether a matrix of posterior probabilites over all classes for each observation shall be returned in addition to classifications.
`aslist` | Logical; if `TRUE`, a list containing classifications and posterior probabilities is returned, otherwise a vector with an attribute ‘`posterior`’.
`...` | currently unused

### Value

Depends on the value of argument ‘`aslist`’:

Either a vector (of class `factor`) of classifications that (optionally) has an attribute ‘`posterior`’ containing the posterior probability matrix, or

A list with elements ‘`class`’ and ‘`posterior`’.

### Author(s)

Christian Röver, roever@statistik.tu-dortmund.de

### See Also

`rda`

### Examples

    data(iris)
    x <- rda(Species ~ ., data = iris, gamma = 0.05, lambda = 0.2)
    predict(x, iris[, 1:4])

[Package klaR version 0.6-12 Index]