[R] help with ggplot legend specification

[Ista Zahn]

Hi John,

On Mon, Nov 4, 2013 at 8:25 AM, John Kane <jrkrideau at inbox.com> wrote:
> As a starting point perhaps have a look at legend.key.size (unit)
> in ?theme.

That will change the size of the legend key, not the size of the
aesthetics inside the legend. For that you need to use override.aes in
guide_legend, as I previously suggested.

Best,
Ista

 It may do something like what you want with some tweaking.  My quick
and dirty example just applies the command to both legends.
>
>   pl<-ggplot(dat1,aes(x=Importance,y=Performance,fill=PBF,size=gapsize))+
>       geom_point(shape=21,colour="black")
> pl + theme(legend.key.size = unit(2, "cm"))
>
> John Kane
> Kingston ON Canada
>
>
>> -----Original Message-----
>> From: mike.conklin at gfk.com
>> Sent: Thu, 31 Oct 2013 21:08:02 +0100
>> To: r-help at r-project.org
>> Subject: [R] help with ggplot legend specification
>>
>> 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/>
>>
>>
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