[R] Plotting LDA results

[Meffy]

Dear Users!
I think I still have some problems in understanding LDA and the methods of
plotting the results.
The case is the following: I'm having a dataset containing two classes where
each datapoint has 19 dimensions. Training with lda(...) works fine, and I'm
getting 19 LD coefficients. So far so good. Now I want to visualize the
result, and here is where my simple knowledge ends. What I simply want to do
is doing a scatterplot on two dimensions and then plotting the projected
hyperplane in order to see the dividing line. The scatterplot I'm doing with 

plot(class1[1:100,1], class1[1:100,2])
points(class2[1:100,1], class2[1:100,2])

but now I face with the problem of determining the intercept for abline(...)
(the slope should be -LD[1]/LD[2] I think...).

What I really don't understand is the result of plot.lda(...). As a result
it gives two histograms, each one for one class. So which distributions are
shown there? And why does it only plot a scatterplot when I have three
classes? 

Thank you very much in advance!
Greetings, Matthias








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