Plotting the 2-d partitions of classification methods
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.
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(), ...).
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 |
col.contour |
color of the contour lines (if |
gs |
group symbol (plot character), must have the same length as |
pch.mean |
plot character for class means (only for methods |
cex.mean |
character expansion for class means (only for methods |
print.err |
character expansion for text specifying the apparent error rate.
If |
legend.err |
logical; whether to plot the apparent error rate above the plot (if |
legend.bg |
Backgound colour to use for the legend. |
imageplot |
|
image.colors |
colors used for the |
plot.control |
A list containing further arguments passed to the underlying plot functions. |
... |
Further arguments passed to the classification |
Karsten Luebke, karsten.luebke@fom.de, Uwe Ligges, Irina Czogiel
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