Classification scatterplot matrix

Share:

Description

Function to plot a scatterplot matrix with a classification result.

Usage

1
2
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

1
2
3
4
data(B3)
library(MASS)
classscatter(PHASEN ~ BSP91JW + EWAJW + LSTKJW, 
    data = B3, method = "lda")

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.