On Wed, Mar 21, 2012 at 12:00 PM, Justin Montemarano <jmont...@kent.edu> wrote: > Ista: > > Your attached code did work for me; moreover, the facets were presented in > the desired order with facet_wrap() and facet_grid(), which is what I'm > using because I have a second factor used in facet_grid(). > > Still, my plots with total.density as a facet are coming out in 16, 32, 8, > and I'm not seeing why. Below is my plot code - > >> ggplot(ag.tab[ag.tab$plant.sp == 'EC',], aes(x = days.out, y = >> per.remain)) + facet_grid(total.density ~ prop.ec) + >> #add point and error bar data >> theme_set(theme_bw()) + >> geom_point() + geom_errorbar(aes(ymin = per.remain - se, ymax = >> per.remain + se), width = 3) + >> #add predicted model data >> geom_line(data = se.predict.data[se.predict.data$plant.sp == 'EC',], >> aes(x = x.values, y = predicted.values), colour = c('red')) + >> geom_line(data = dc.predict.data[dc.predict.data$plant.sp == 'EC',], >> aes(x = x.values, y = predicted.values), colour = c('blue'), linetype = >> c('dashed')) + >> >> xlab('Day') + ylab('Percent Mass Remaining') + opts(panel.grid.major = >> theme_blank(), panel.grid.minor = theme_blank()) > > Is there anything odd about it that might be producing the odd ordering > problem? FYI, avoiding subsetting ag.tab doesn't do the trick.
I don't know. Please create a minimal example that isolates the problem. You can start with levels(ag.tab$total.density) ggplot(ag.tab[ag.tab$plant.sp == 'EC',], aes(x = days.out, y = per.remain)) + facet_grid(total.density ~ prop.ec) + geom_point() Best, Ista > - > Justin Montemarano > Graduate Student > Kent State University - Biological Sciences > > http://www.montegraphia.com > > > On Wed, Mar 21, 2012 at 11:42 AM, Ista Zahn <istaz...@gmail.com> wrote: >> >> Hi Justin, >> >> this gives the correct order (8, 16, 32) on my machine: >> >> total.density <- >> >> c(8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32) >> total.density <- factor(total.density, levels=c(8, 16, 32), ordered=TRUE) >> str(total.density) >> >> order(levels(total.density)) >> >> dat <- data.frame(td = total.density, v1 = rnorm(1:length(total.density))) >> >> ggplot(dat, aes(x = v1)) + >> geom_density() + >> facet_wrap(~td) >> >> Does it work for you? If yes, then you need to tell us what you're >> doing that is different from this example. If no, please give use the >> output of sessionInfo(). >> >> best, >> Ista >> >> On Wed, Mar 21, 2012 at 11:16 AM, Justin Montemarano <jmont...@kent.edu> >> wrote: >> > I think I understand, but I believe my original interest is in the order >> > of >> > levels(total.density), since ggplot appears to be using that to order >> > the >> > facets. Thus, I'm still getting three graphs, ordered (and displayed >> > as) >> > 16 to 32 to 8, rather than the more intuitive, 8 to 16 to 32. I'm sorry >> > if >> > I wasn't clear and/or I've missed your message. >> > - >> > Justin Montemarano >> > Graduate Student >> > Kent State University - Biological Sciences >> > >> > http://www.montegraphia.com >> > >> > [[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.