On 25.07.2012 13:52, Meffy wrote:
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...).
The scatterplot shows a projection on the first two linear discriminant components, the histogram is the projection on the first component only.
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?
If you have two classes, there will only be one component. No chance two invent a second dimension.
Uwe Ligges
Thank you very much in advance! Greetings, Matthias -- View this message in context: http://r.789695.n4.nabble.com/Plotting-LDA-results-tp4637766.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
