You can override the legend aesthetics, e.g., ggplot(df,aes(x=Importance,y=Performance,fill=PBF,size=gapsize))+ geom_point(shape=21,colour="black")+ scale_size_area(max_size=pointsizefactor) + scale_fill_discrete(guide = guide_legend(override.aes = list(size = 4)))
Best, Ista On Thu, Oct 31, 2013 at 4:08 PM, Conklin, Mike (GfK) <mike.conk...@gfk.com> wrote: > I am creating a scatterplot with the following code. > > pl<-ggplot(df,aes(x=Importance,y=Performance,fill=PBF,size=gapsize))+ > > geom_point(shape=21,colour="black")+scale_size_area(max_size=pointsizefactor) > > points are plotted where the size of the point is related to a metric > variable gapsize and the fill color on the point is related to the variable > PBF which is a 4 level factor. This works exactly as I want with the points > varying in size based on the metric and being color coded. I get 2 legends > on the side of the plot, one related to the size of the dot and the other > showing the color coding. The problem is that the dots on the color coding > legend are so small that it is impossible to discern what color they are. The > dots in the plot are large, so it is clear what colors they are, but the > legend is useless. How can I increase the size of the points in the color > legend. > > pointsizefactor<-5 > > df > > Importance Performance gapsize labels PBF > q50451 0.7079463 -0.7213622 2 a W > q50452 0.4489164 -0.5552116 1 b G > q50453 0.7714138 -0.6940144 5 c F > q50454 0.6284830 -0.6011352 3 d S > q50455 0.7131063 -0.6800826 4 e G > q50456 0.7038184 -0.6026832 6 f S > q50457 0.5201238 -0.3539732 8 g G > q50458 0.9195046 -0.8214654 2 h F > q50459 0.3797730 -0.4184727 1 i W > q504510 0.8065015 -0.6305470 7 j G > q504511 0.6062951 -0.4442724 6 k S > q504512 0.6253870 -0.4478844 8 l G > q504513 0.3813209 -0.4102167 2 m W > q504514 0.3813209 -0.3436533 3 n F > q504515 0.5185759 -0.4365325 5 o G > q504516 0.5872033 -0.4556244 6 p S > q504518 0.5397317 -1.0000000 1 q S > q504519 0.5882353 -0.4674923 9 r S > q504520 0.4205366 -0.4164087 4 s W > q504521 0.7616099 -0.3323013 10 t F > q504522 0.7213622 -0.6088751 7 u G > q504523 0.6780186 -0.6130031 8 v G > q504524 0.6904025 -0.3937049 10 w W > q504525 0.4143447 -0.4669763 4 x W > q504526 0.5779154 -0.2982456 9 y F > q504527 0.6718266 -0.3457172 10 z G > > > Thanks all > > //Mike > > W. Michael Conklin > Executive Vice President | Marketing Science > GfK Custom Research, LLC | 8401 Golden Valley Road | Minneapolis, MN, 55427 > T +1 763 417 4545 | M +1 612 567 8287 > www.gfk.com<http://www.gfk.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.