Hi all:

I've got it... it appears that total.density was also defined in two
separate data frames (se.predict.data and dc.predict.data) with levels
order 16, 32, 8. Using relevel(), I moved 8 to the first position and it's
solved the plotting problem.

Ista's 'minimal' reproducible code request prompted me to discover my
error; thanks all.

-
Justin Montemarano
Graduate Student
Kent State University - Biological Sciences

http://www.montegraphia.com


On Wed, Mar 21, 2012 at 12:42 PM, R. Michael Weylandt <
michael.weyla...@gmail.com> wrote:

> You'll also want to use dput() to send us an exact encoding of your
> data when making that reproducible example: there might be something
> subtle at play here that print methods won't show.
>
> Michael
>
> On Wed, Mar 21, 2012 at 12:28 PM, Ista Zahn <istaz...@gmail.com> wrote:
> > 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.
>

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