Thanks Charlie... I think its worth exploring ggplot2 functionality.

On Wed, Mar 24, 2010 at 4:06 PM, Sharpie <chuck@sharpsteen.net> wrote:

>
> > Thanks for your reply Sharpie. I completely understand that it may not be
> > the best to go with muti-panel pie charts, but my group would like to
> have
> > this utility along with barplot/dotplot (may be, using it for proportions
> > data). Thanks,
> >
>
> Well, if the management trolls *DEMAND* pie, then these sites provide a
> good
> start with ggplot2:
>
>
>
> http://learnr.wordpress.com/2009/08/20/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-13-2/
>
>  http://had.co.nz/ggplot2/coord_polar.html
>
> Using the data I posted before, you could apply those approach with:
>
>  productPie <- qplot( factor(1), value/100, data = productData,
>    geom = 'bar', fill = variable,
>    xlab = '',
>    ylab = '' ) +
>    facet_wrap( ~ month, scales = 'free_y' ) +
>    coord_polar( theta = 'y' ) +
>    scale_y_continuous( formatter = 'percent' ) +
>    theme_bw()
>
>  print( productPie )
>
> The beauty of ggplot2 is that that is basically the same chart I posted
> last
> time, the bars have just been "bent" into a pie through the use of
> coord_polar().  It probably needs some fine-tuning, but I'll leave that up
> to you.
>
> Good luck!
>
> -Charlie
>
> -----
> Charlie Sharpsteen
> Undergraduate-- Environmental Resources Engineering
> Humboldt State University
> --
> View this message in context:
> http://n4.nabble.com/Multi-panel-Pie-Charts-tp1687026p1689591.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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<http://www.r-project.org/posting-guide.html>
>  and provide commented, minimal, self-contained, reproducible code.
>

	[[alternative HTML version deleted]]

