R: Confusion Matrices

confusion {mda} | R Documentation

## Confusion Matrices

### Description

Compute the confusion matrix between two factors, or for an fda or mda object.

### Usage

    ## Default S3 method:
    confusion(object, true, ...)
    ## S3 method for class 'fda'
    confusion(object, data, ...)

### Arguments

`object` | the predicted factor, or an fda or mda model object.
`true` | the true factor.
`data` | a data frame (list) containing the test data.
`...` | further arguments to be passed to or from methods.

### Details

This is a generic function.

### Value

For the default method essentially `table(object, true)`, but with some useful attribute(s).

### See Also

`fda`, `predict.fda`

### Examples

    data(iris)
    irisfit <- fda(Species ~ ., data = iris)
    confusion(predict(irisfit, iris), iris$Species)
    ##            Setosa Versicolor Virginica
    ##     Setosa     50          0         0
    ## Versicolor      0         48         1
    ##  Virginica      0          2        49
    ## attr(, "error"):
    ## [1] 0.02

[Package mda version 0.5-3 Index]