confusion: Confusion Matrices

In mda: Mixture and Flexible Discriminant Analysis

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

mda documentation built on July 9, 2023, 7:14 p.m.