Hi > > I have a bivariate plot of axis2 against axis1 (data below). I would like > to use different size, type and color for points in the plot for the point > coming from different region. For some reasons, I cannot get it done. Below > is my code. > > col <- rep(c("blue", "red", "darkgreen"), c(16, 16, 16)) > ## Choose different size of points > cex <- rep(c(1, 1.2, 1), c(16, 16, 16)) > ## Choose the form of the points (square, circle, triangle and > diamond-shaped > pch <- rep(c(15, 16, 17), c(16, 16, 16)) > > plot(axis1, axis2, main="My plot", xlab="Axis 1", ylab="Axis 2", > col=c(Category, col), pch=pch, cex=cex) > legend(4, 12.5, c("NorthAmerica", "SouthAmerica", "Asia"), col = col, > pch = pch, pt.cex = cex, title = "Region") > > I also prefer a control on what kind of point I want to use for different > levels of Region. Something like this: > legend(4,12.5, col(levels(Category), Asia="red", NorthAmerica="blue", > SouthAmerica="green"))
So why you do not use Region and/or Category for automatic point colouring/size/type. Without data I can only use built in one. with(iris, plot(Sepal.Length, Sepal.Width, col= as.numeric(Species))) legend("topright", legend=levels(iris$Species), pch=19, col=1:3) Regards Petr > > Thanks, > Kumar > > Region axis1 axis2 NorthAmerica 5 14 NorthAmerica 8 13 NorthAmerica 8 > 11 NorthAmerica 6 11 NorthAmerica 5 13 SouthAmerica 8 17 SouthAmerica 7 > 16 SouthAmerica 7 13 SouthAmerica 8 14 SouthAmerica 6 17 Asia 7 13 Asia > 6 15 Asia 7 14 Asia 5 13 Asia 4 16 > > [[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. ______________________________________________ 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.