Your example is not reproducible [1]. We don't know what device you are writing to, and we don't have your data or even a subset of it.
However, facet_wrap is not used for generating separate graphs. You will need to make some kind of loop construct (for or lapply) that opens the device, prints the plot of a subset of the data (without faceting), and closes the device, for each group in your data. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. David Lyon <david_ly...@yahoo.com> wrote: >library(ggplot2) >a<- read.table("data", header=T) >b = na.omit(a) >ggplot(data=b) + geom_line(aes(x=timepoint, y=value,group=sample, >colour= factor(sample))) + geom_point(aes(x=timepoint, y=value, >group=s >ample)) + facet_wrap(~bio, scales = "free",ncol = 5) +theme_bw() + >opts(legend.direction = "horizontal", legend.position = "top", >legend.background = theme_blank()) + labs(fill="") >dev.off() > > >This generates one nice plot with many many plots in 1 file. >How do I modify the code to split up the plots into single file instead >of merging them in 1 file I want each plot to be in a separate file ? > >Thanks in advance > > >______________________________________________ >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.