Dear R-Project helpdesk member, I am currently working on some basic correspondence analysis using the R packages 'ca'. As I compute the CA by example <- ca(data), and plotting example via plot(example), I am trying to figure out, how to get a certain desired plot, so, however, my question could be of more general nature.
This probably might not be new to you, but the plotting the result of ca will return a plot, with red points (triangles if I remember correctly) labeled with the column names of the original table read in, and blue dots for the row names. What I essentially need to solve is, to make a plot, which differs in the visualization of the rows. The labels of the rows should not be displayed at all, plus, certain rows must have a different color of other rows. Of course, I looked up several manuals and threads already, but unfortunatly I was not able to get very far beyond "plot(example, labels=0)". So let us say, I have a table, which looks like this a b c d a 1 2 3 b 4 5 6 c 7 8 9 d 0 1 2 with a b c d being the header, and the row.names=1, what I practically need is a plot, that displays the column names attached as labels to the corresponding dots/triangles (which is the default case), and the dots referring to the rows without(!) any labels, PLUS the points corresponding to the first two rows (a=1 2 3, b = 4 5 6) in a different color (really does not matter which) than the points corresponding to the last two ones (c = 7 8 9, d = 0 1 2). I deeply hope, that you are able to help me; if I can help you considering the formulation of my question, please feel free, to contact me. With kind regards, I appreciate your work, -Patrick Grossmann ______________________________________________ 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.
