R: Classification scatterplot matrix

classscatter {klaR} | R Documentation

## Classification scatterplot matrix

### Description

Function to plot a scatterplot matrix with a classification result.

### Usage

    classscatter(formula, data, method, col.correct = "black",
        col.wrong = "red", gs = NULL, ...)

### Arguments

`formula` | formula of the form `groups ~ x1 + x2 + ...`. That is, the response is the grouping factor and the right hand side specifies the (non-factor) discriminators.
`data` | Data frame from which variables specified in formula are preferentially to be taken.
`method` | character, name of classification function (e.g. “`lda`”).
`col.correct` | color to use for correct classified objects.
`col.wrong` | color to use for missclassified objects.
`gs` | group symbol (plot character), must have the same length as the data. If `NULL`, `as.character(groups)` is the default.
`...` | further arguments passed to the underlying classification method or plot functions.

### Value

The actual error rate.

### Author(s)

Karsten Luebke, karsten.luebke@fom.de

### See Also

`plot`

### Examples

    data(B3)
    library(MASS)
    classscatter(PHASEN ~ BSP91JW + EWAJW + LSTKJW,
        data = B3, method = "lda")

[Package klaR version 0.6-12 Index]