# classscatter: 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.

## Examples

# NOT RUN {
data(B3)
library(MASS)
classscatter(PHASEN ~ BSP91JW + EWAJW + LSTKJW,
data = B3, method = "lda")
# }