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mda (version 0.4-10)

confusion: Confusion Matrices

Description

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

Usage

# S3 method for default
confusion(object, true, …)
# S3 method for 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.

Value

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

Details

This is a generic function.

See Also

fda, predict.fda

Examples

Run this code
# NOT RUN {
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
# }

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