Thanks, Jeff. I tried this previously by using a header in my data file (and 'header=TRUE'), but for some reason, that did not seem to work.
Creating a 'names' vector as you suggested did solve the problem, though. Thank you! Loren 2015-03-24 23:19 GMT-04:00 Jeff Newmiller <jdnew...@dcn.davis.ca.us>: > You MUST put all data you plan to refer to into a data frame when using > ggplot. There are a couple of ways you could do this... the easiest is to > put a header line in the data file with column names. Or, you can assign a > vector of new names to the names of the data frame. > > names( hetshoms ) <- c( "chrom", "start.pos", "end.pos", "hets", > "het_stat", "homs", "hom_stat", "indiv" ) > --------------------------------------------------------------------------- > 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. > > On March 24, 2015 3:40:11 PM PDT, Loren <sacke...@colorado.edu> wrote: > >Hello all, > > > >I am having a perplexing problem trying to use facet_wrap in ggplot, > >with > >both my real dataset and a simplified dummy dataset. I am trying to > >plot > >heterozygosity across the genome for multiple individuals, with each > >chromosome shown separately. > > > >My dummy data: > >chr1 123000 124000 2 0.00002 26 0.00026 indiv1 > >chr1 124000 125000 3 0.00003 12 0.00012 indiv1 > >chr1 125000 126000 1 0.00001 6 0.00006 indiv1 > >chr1 126000 126000 2 0.00002 14 0.00014 indiv1 > >chr2 123000 124000 6 0.00006 20 0.00020 indiv1 > >chr2 124000 125000 0 0.00000 12 0.00012 indiv1 > >chr1 123000 124000 2 0.00002 26 0.00026 indiv2 > >chr1 124000 125000 3 0.00003 12 0.00012 indiv2 > >chr1 125000 126000 1 0.00001 6 0.00006 indiv2 > >chr1 126000 126000 2 0.00002 14 0.00014 indiv2 > >chr2 123000 124000 6 0.00006 20 0.00020 indiv2 > >chr2 124000 125000 0 0.00000 12 0.00012 indiv2 > > > >My code to read in the data: > >hetshoms <- read.table("fakedata.txt", header=F) > > > >chrom <- hetshoms$V1 > >start.pos <- hetshoms$V2 > >end.pos <- hetshoms$V3 > >hets <- hetshoms$V4 > >het_stat <- hetshoms$V5 > >homs <- hetshoms$V6 > >hom_stat <- hetshoms$V7 > >indiv <- hetshoms$V8 > > > >HetRatio <- hets/(hets+homs) > > > >When I try to plot the chromosomes separately in qplot, it works fine: > >testplot <- qplot(start.pos, HetRatio, facets = chrom ~ ., > >colour=chrom) > > > >But when I try an analogous thing in ggplot, it does not work. > >The first part works fine: > >testplot <- ggplot(hetshoms, aes(x=start.pos, y=HetRatio)) + > >geom_point(aes(color=chrom, alpha=1/4)) > > > >but when I try to add the facet_wrap: > >testplot + facet_wrap(~chrom) > > > >This produces the following error (and no plot) > >"Error en layout_base(data, vars, drop = drop) : > > At least one layer must contain all variables used for facetting" > > > >I have tried adding an (as.formula(paste)) and directly calling > >hetshoms$V1 > >but neither solves the problem. > > > >Can anyone please point out where I have gone wrong and how to fix my > >code? > > > >Much appreciated, > >Loren > > > > > > > > > > > > > >-- > >View this message in context: > > > http://r.789695.n4.nabble.com/facets-work-in-qplot-but-facet-wrap-produces-an-error-in-ggplot-tp4705058.html > >Sent from the R help mailing list archive at Nabble.com. > > > >______________________________________________ > >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > >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. > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.