Hi, Another easy option would be to convert your data to "long" format and then use ggplot2 or lattice. Something like (though not exact without a reproducible example):
require(ggplot2) long.dat <- melt(your_data, arguments) ggplot(long.dat, aes(x = variable, y = value)) + geom_line(aes(colour = group)) + facet_grid(~ condition) HTH, Josh On Jun 17, 2011, at 12:43, Vickie S <is...@live.com> wrote: > > Hi friends, > > I have a matrix with following format. > > group var1 var2 .......varN > > c1 group1 1.2399 1.4990....-1.4829 > > c2 group4 0.8989 0.7849.....1.8933 > > ... > > ... > > c100 group10 ..... > > > > I want to draw a profile plot > of each condition c1 to c100, which rows in above matrix and each line > representing a row should be uniquely colored according to the group(1 > to 10). > > I think this is simple task but I could not figure out how to set the colors. > > > > Any help would be appreciated. > > > > thanks > > -Vickie > [[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.
