Hi Bernd,
> Can ggplot2 handle bigger numbers of breaks by reusing aesthetics ?
No - the attributes were fairly careful picked to actually be
distinguishable, which is very hard to do above a certain number of
colours/shapes/linetypes etc.
But your approach (creating your own scales) is basically correct - I
will provide things that I think work best perceptually as defaults,
but it should be easy for you to override them if you believe
otherwise. In the latest version you can simplify your code to:
my_colour <- scale_colour_manual(values =
c('green','red','blue','violet','orange2','skyblue','magenta','burlywood1',
'cadetblue1','maroon3','aquamarine','bisque1','darkgoldenrod1','darkkhaki',
'cornsilk3', 'lightsalmon1','deepskyblue2','goldenrod1','hotpink',
'lightslateblue', 'mistyrose1','olivedrab1','plum1','pink1','orange3'))
and
my_solid_shape <- scale_shape_manual(values = c(16, 17, 15, 3, 7, 8,
16, 17, 15, 3, 7, 8, 16, 17, 15, 3, 7, 8))
my_hollow_shape <- scale_shape_manual(values = c(1, 2, 0, 3, 7, 8, 1,
2, 0, 3, 7, 8, 1, 2, 0, 3, 7, 8))
And the next version will actually be smart enough to create the obvious legend.
Hadley
--
http://had.co.nz/
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