classError {mclust} | R Documentation

## Classification error.

### Description

Error for a given classification relative to a known truth. Location of errors in a given classification relative to a known truth.

### Usage

    classError(classification, truth)

### Arguments

`classification` | A numeric or character vector of class labels.
`truth` | A numeric or character vector of class labels. Must have the same length as `classification`.

### Details

`classErrors` will only return one possibility if more than one mapping between classification and truth results in the minimum error.

### Value

`classError` gives the fraction of elements misclassified for `classification` relative to `truth`. `classErrors` is a logical vector of the same length as `classification` and `truth` which gives the location of misclassified elements in `classification` relative to `truth`.

### See Also

`compareClass`, `mapClass`, `table`

### Examples

    a <- rep(1:3, 3)
    a
    b <- rep(c("A", "B", "C"), 3)
    b
    classError(a, b)
    classErrors(a, b)

    a <- sample(1:3, 9, replace = TRUE)
    a
    b <- sample(c("A", "B", "C"), 9, replace = TRUE)
    b
    classError(a, b)

[Package mclust version 2.1-8 Index]