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Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
Good luck!
df<-as.data.frame(cbind(x=1:10, y=1:10))
ggplot(df, aes(x=x, y=y))+
geom_point()+
geom_line()+
scale_x_continuous('upsidedown?', trans='reverse')+
scale_y_continuous('correcto?')+
opts(axis.text.x=theme_text(angle=180, hjust=0.5, vjust=-0.25),
axis.text.y=theme_text(angle=180, hjust=0, vjust=0.5),
#doesn't work, and I don't know the right call
axis.label.x=theme_text(angle=180, hjust=0, vjust=0)
)
#Brandon
On Wed, Sep 22, 2010 at 01:27, Rob James <r...@aetiologic.ca> wrote:
>
> Without endorsing the idea at all, or having tested it... and only if one was absolutely desperate.... but I suspect that you leave the y axis stationary, flip everything else -- axis text labels rotated 180', scales reversed etc. so that while the legend was still technically "on the left" the image could not be readily readable after one rotated the image through 180'. This would make the left axis appear to be "on the right". I haven't tried it yet... it would require a very good reason, ... but I think the flexibility might already be there.
>
> Good luck!
>
>
>
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