Plotting the 2-d partitions of classification methods

Description

Plot showing the classification of observations based on classification methods (e.g. lda, qda) for two variables. Moreover, the classification borders are displayed and the apparent error rates are given in each title.

Usage

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drawparti(grouping, x, y, method = "lda", prec = 100, xlab = NULL, 
    ylab = NULL, col.correct = "black", col.wrong = "red", 
    col.mean = "black", col.contour = "darkgrey", 
    gs = as.character(grouping), pch.mean = 19, cex.mean = 1.3, 
    print.err = 0.7, legend.err = FALSE, legend.bg = "white",
    imageplot = TRUE, image.colors = cm.colors(nc), 
    plot.control = list(), ...)        

Arguments

grouping

factor specifying the class for each observation.

x

first explanatory vector.

y

second explanatory vector.

method

the method the classification is based on, currently supported are: lda, qda, rpart, naiveBayes, rda, sknn and svmlight

.

prec

precision used to draw the classification borders (the higher the more precise; default: 100).

xlab

a title for the x axis.

ylab

a title for the y axis.

col.correct

color for correct classified objects.

col.wrong

color for wrong classified objects.

col.mean

color for class means (only for methods lda and qda).

col.contour

color of the contour lines (if imageplot = FALSE).

gs

group symbol (plot character), must have the same length as grouping.

pch.mean

plot character for class means (only for methods lda and qda).

cex.mean

character expansion for class means (only for methods lda and qda).

print.err

character expansion for text specifying the apparent error rate. If print.err = 0, nothing is printed.

legend.err

logical; whether to plot the apparent error rate above the plot (if FALSE), or into a legend into the upper right corner of the plot (if TRUE). This argument is ignored, if print.err = 0, i.e. if no error rate is printed.

legend.bg

Backgound colour to use for the legend.

imageplot

logical; whether to use an image plot or contour lines.

image.colors

colors used for the imageplot, if TRUE.

plot.control

A list containing further arguments passed to the underlying plot functions.

...

Further arguments passed to the classification method.

Author(s)

Karsten Luebke, karsten.luebke@fom.de, Uwe Ligges, Irina Czogiel

See Also

partimat

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