On Feb 7, 2008 5:19 AM, ONKELINX, Thierry <[EMAIL PROTECTED]> wrote:
> Tribo,
>
> Suppose you dataset is called bode. Then "melt" it:
>
> Melted <- melt(bode, id.var = c("frequency", "system")
>
> Then you'll get something like.
>
> frequency | system | variabele | value
> 0 | system 1 | phase | 0
> 0 | system 1 | gain | 100
>
> then this line below should do the trick (untested)
>
> ggplot(Melted, aes(x = frequency, y = value, colour = system)) +
> geom_line() + facet_grid(system ~ .) + scale_x_log10()Although looking at the example, the y axes have different scales - which you can't currently do in ggplot (although it definitely on the drawing board). You might need to do: bode <- ggplot(bode, aes(x = frequency, colour = system)) + geom_line() + facet_grid(system ~ .) + scale_x_log10() bode + aes(y = phase) bode + aes(y = gain) to make two separate plots, and then use grid to join them up on one page (see the final chapter of the ggplot2 book) Hadley -- http://had.co.nz/ ______________________________________________ [email protected] 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.
