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
,
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
legend.bg
Backgound colour to use for the legend.
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
.