drawparti: Plotting the 2-d partitions of classification methods

In klaR: Classification and Visualization

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

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, [e-mail], Uwe Ligges, Irina Czogiel

See Also

partimat

klaR documentation built on May 29, 2024, 5:20 a.m.