Last data update: 2014.03.03
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R: Confusion Matrices
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.
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true |
the true factor.
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data |
a data frame (list) containing the test data.
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... |
further arguments to be passed to or from methods.
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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
Results
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