Re: [R] ggplot2 facet_wrap problem
yes, I think this is the bug that will be fixed in the next release : http://github.com/hadley/ggplot2/tree/master/NEWS 2008/12/3 ONKELINX, Thierry <[EMAIL PROTECTED]> > Hi Stephen, > > It looks like a bug in facet_wrap which seems to mix up the factor > labels (by sorting only the labels but not the plots?). > > HTH, > > Thierry > > > > > ir. Thierry Onkelinx > Instituut voor natuur- en bosonderzoek / Research Institute for Nature > and Forest > Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, > methodology and quality assurance > Gaverstraat 4 > 9500 Geraardsbergen > Belgium > tel. + 32 54/436 185 > [EMAIL PROTECTED] > www.inbo.be > > To call in the statistician after the experiment is done may be no more > than asking him to perform a post-mortem examination: he may be able to > say what the experiment died of. > ~ Sir Ronald Aylmer Fisher > > The plural of anecdote is not data. > ~ Roger Brinner > > The combination of some data and an aching desire for an answer does not > ensure that a reasonable answer can be extracted from a given body of > data. > ~ John Tukey > > -Oorspronkelijk bericht- > Van: stephen sefick [mailto:[EMAIL PROTECTED] > Verzonden: woensdag 3 december 2008 1:09 > Aan: ONKELINX, Thierry > CC: hadley wickham; R-help > Onderwerp: Re: [R] ggplot2 facet_wrap problem > > If you look at the TSS graph in the faceted example and then look at > the plot of just the GPP vs. TSS. They are different graphs all > together. The one that is not faceted is correct. > > On Tue, Dec 2, 2008 at 6:36 PM, ONKELINX, Thierry > <[EMAIL PROTECTED]> wrote: > > Hi Stephen, > > > > I think you will need to clarify what your problem is with the second > plot. > > > > HTH, > > > > Thierry > > > > > > -Oorspronkelijk bericht- > > Van: [EMAIL PROTECTED] namens stephen sefick > > Verzonden: di 2-12-2008 22:52 > > Aan: hadley wickham; R-help > > Onderwerp: [R] ggplot2 facet_wrap problem > > > > Hadley, > > I don't know if I am doing something wrong or if it is ggplot please > > see the two graphs at the bottom of the page (code). > > > > melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, > 119L, 119L, > > 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, > > 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, > > 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > > 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > > 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > > 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, > > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, > > 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, > > 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, > > 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, > > 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, > > 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > > 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, > > 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, > > 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, > > 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, > > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, > > 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, > > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, > > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, > > 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, > > 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, > > 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, > > 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > > 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > > 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > > 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > > 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, > > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, > > 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, > > 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, > > 190L, 190
Re: [R] ggplot2 facet_wrap problem
Yes, that's a known bug. It's fixed in the next version which I'm hoping to release early next week. Regards, Hadley On Wed, Dec 3, 2008 at 6:12 AM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote: > Hi Stephen, > > It looks like a bug in facet_wrap which seems to mix up the factor > labels (by sorting only the labels but not the plots?). > > HTH, > > Thierry > > > > > ir. Thierry Onkelinx > Instituut voor natuur- en bosonderzoek / Research Institute for Nature > and Forest > Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, > methodology and quality assurance > Gaverstraat 4 > 9500 Geraardsbergen > Belgium > tel. + 32 54/436 185 > [EMAIL PROTECTED] > www.inbo.be > > To call in the statistician after the experiment is done may be no more > than asking him to perform a post-mortem examination: he may be able to > say what the experiment died of. > ~ Sir Ronald Aylmer Fisher > > The plural of anecdote is not data. > ~ Roger Brinner > > The combination of some data and an aching desire for an answer does not > ensure that a reasonable answer can be extracted from a given body of > data. > ~ John Tukey > > -Oorspronkelijk bericht- > Van: stephen sefick [mailto:[EMAIL PROTECTED] > Verzonden: woensdag 3 december 2008 1:09 > Aan: ONKELINX, Thierry > CC: hadley wickham; R-help > Onderwerp: Re: [R] ggplot2 facet_wrap problem > > If you look at the TSS graph in the faceted example and then look at > the plot of just the GPP vs. TSS. They are different graphs all > together. The one that is not faceted is correct. > > On Tue, Dec 2, 2008 at 6:36 PM, ONKELINX, Thierry > <[EMAIL PROTECTED]> wrote: >> Hi Stephen, >> >> I think you will need to clarify what your problem is with the second > plot. >> >> HTH, >> >> Thierry >> >> >> -Oorspronkelijk bericht- >> Van: [EMAIL PROTECTED] namens stephen sefick >> Verzonden: di 2-12-2008 22:52 >> Aan: hadley wickham; R-help >> Onderwerp: [R] ggplot2 facet_wrap problem >> >> Hadley, >> I don't know if I am doing something wrong or if it is ggplot please >> see the two graphs at the bottom of the page (code). >> >> melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, > 119L, 119L, >> 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, >> 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, >> 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, >> 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, >> 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, >> 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, >> 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, >> 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, >> 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, >> 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, >> 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, >> 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, >> 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, >> 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, >> 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, >> 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, >> 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, >> 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, >> 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, >> 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, >> 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, >> 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, >> 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, >> 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, >> 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, >> 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, >> 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, >> 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, >> 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, >> 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, >> 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, >> 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, >> 190L, 190L, 190L, 190L,
Re: [R] ggplot2 facet_wrap problem
Hi Stephen, It looks like a bug in facet_wrap which seems to mix up the factor labels (by sorting only the labels but not the plots?). HTH, Thierry ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest Cel biometrie, methodologie en kwaliteitszorg / Section biometrics, methodology and quality assurance Gaverstraat 4 9500 Geraardsbergen Belgium tel. + 32 54/436 185 [EMAIL PROTECTED] www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -Oorspronkelijk bericht- Van: stephen sefick [mailto:[EMAIL PROTECTED] Verzonden: woensdag 3 december 2008 1:09 Aan: ONKELINX, Thierry CC: hadley wickham; R-help Onderwerp: Re: [R] ggplot2 facet_wrap problem If you look at the TSS graph in the faceted example and then look at the plot of just the GPP vs. TSS. They are different graphs all together. The one that is not faceted is correct. On Tue, Dec 2, 2008 at 6:36 PM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote: > Hi Stephen, > > I think you will need to clarify what your problem is with the second plot. > > HTH, > > Thierry > > > -Oorspronkelijk bericht- > Van: [EMAIL PROTECTED] namens stephen sefick > Verzonden: di 2-12-2008 22:52 > Aan: hadley wickham; R-help > Onderwerp: [R] ggplot2 facet_wrap problem > > Hadley, > I don't know if I am doing something wrong or if it is ggplot please > see the two graphs at the bottom of the page (code). > > melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, > 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, > 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, > 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, > 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, > 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, > 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, > 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, > 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, > 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, > 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, > 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, > 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, > 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, > 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, > 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, > 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, > 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, > 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, > 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, > 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L,
Re: [R] ggplot2 facet_wrap problem
If you look at the TSS graph in the faceted example and then look at the plot of just the GPP vs. TSS. They are different graphs all together. The one that is not faceted is correct. On Tue, Dec 2, 2008 at 6:36 PM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote: > Hi Stephen, > > I think you will need to clarify what your problem is with the second plot. > > HTH, > > Thierry > > > -Oorspronkelijk bericht- > Van: [EMAIL PROTECTED] namens stephen sefick > Verzonden: di 2-12-2008 22:52 > Aan: hadley wickham; R-help > Onderwerp: [R] ggplot2 facet_wrap problem > > Hadley, > I don't know if I am doing something wrong or if it is ggplot please > see the two graphs at the bottom of the page (code). > > melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, > 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, > 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, > 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, > 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, > 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, > 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, > 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, > 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, > 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, > 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, > 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, > 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, > 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, > 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, > 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, > 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, > 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, > 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, > 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, > 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, > 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, > 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, > 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, > 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, > 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, > 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, > 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, > 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, > 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, > 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, > 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, > 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, > 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, > 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, > 61L, 61L, 61L, 61L, 61L, 61L, 119L, 1
Re: [R] ggplot2 facet_wrap problem
Hi Stephen, I think you will need to clarify what your problem is with the second plot. HTH, Thierry -Oorspronkelijk bericht- Van: [EMAIL PROTECTED] namens stephen sefick Verzonden: di 2-12-2008 22:52 Aan: hadley wickham; R-help Onderwerp: [R] ggplot2 facet_wrap problem Hadley, I don't know if I am doing something wrong or if it is ggplot please see the two graphs at the bottom of the page (code). melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 19
[R] ggplot2 facet_wrap problem
Hadley, I don't know if I am doing something wrong or if it is ggplot please see the two graphs at the bottom of the page (code). melt.nut <- (structure(list(RiverMile = c(119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 119L, 148L, 148L, 148L, 148L, 148L, 148L, 148L, 179L, 179L, 179L, 179L, 179L, 179L, 179L, 185L, 185L, 185L, 185L, 185L, 185L, 185L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 190L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 198L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 202L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 215L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 6