Dear xpeRts, I would like to ask a question about plotting in R. I have four columns in which first column contains x-coordinate and second column contains y-coordinate of certain points, whereas the third column "z" contains classification number of those points from 1 to 4, it should be noted that this column doesn't quantify anything, but just classify the points. More precisely like the following
> dput(v) structure(list(x = c(52.5211966906669, 49.8818953734405, 45.176643179385, 52.2988909042952, 46.1007828702965, 53.4910266471472, 49.013651970548, 55.1218462810432, 56.922347550005, 50.7531277271902), y = c(23.953008533893, 45.1590889001506, 62.5358474328017, 39.4861634272874, 49.3108455233261, 46.0010163238786, 46.5779093951996, 37.4552698003145, 46.4057156535496, 56.667549695452), z = c(1, 4, 1, 2, 1, 3, 4, 2, 1, 3), r = 1:10), .Names = c("x", "y", "z", "r"), row.names = c(NA, -10L), class = "data.frame") What i want to do is to locate, in the space of "x" and "y", each point (in classified section) with different shape for each classified section range from 1 to 4, by command "pch". There should also be a y-axis on the right end of x-axis (secondary axis), which carries the the point number as in column "r". As there are ten points so that axis should range to 10 for the presentation of each point number. More precisely, z=1 should be located at a point where x=52.52120, y=23.95301 and r=1. where, x= x-axis y=y-axis on the left end of x-axis r=y-axis on the right end of x-axis (secondary axis) For points belonging to classification 1 there should be a triangle For points belonging to classification 2 there should be a rectangle and so on... in my orinigal data i have 5 classifications. i hope i was clear, but in case i my wording is confusing, kindly let me know. Elisa [[alternative HTML version deleted]] ______________________________________________ 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.