You can always create a graphics layout  and then plot different
ggplot objects in the separate regions of the layout. See ?grid.layout
(since ggplots are grobs)  and ?plot.ggplot  . This also **may** be
useful by showing examples using grid.arrange()

https://cran.r-project.org/web/packages/egg/vignettes/Ecosystem.html

Still, I suspect that Jeff Newmiller may be right about needing to
structure your data more appropriately for what you wish to do.

Bert Gunter

"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Thu, Nov 11, 2021 at 9:22 AM Rich Shepard <rshep...@appl-ecosys.com> wrote:
>
> On Thu, 11 Nov 2021, Avi Gross wrote:
>
> > Boxplots like many other things in ggplot can be grouped in various ways.
> > I often do something like this:
>
> Avi,
>
> I've designed and used multiple boxplots in many projects. They might show
> geochemical concentrations at two locations or in two (or three) separate
> time periods. All data in a single dataframe.
>
> > To display multiple boxplots subdivided by place is as easy as using the
> > phrase in an aes() clause like:
> >
> >       ggplot(your_data, aes(..., color=PLACE)) + geom_boxplot()
>
> What I need to plot are multiple 'your_data' sets. I'll be testing this:
> ggp <- ggplot(NULL, aes(x, y)) +    # Draw ggplot2 plot based on two data 
> frames
>    geom_point(data = data1, col = "red") +
>    geom_line(data = data2, col = "blue")
> ggp                                 # Draw plot
>
> today, but using four boxplots.
>
> Regards,
>
> Rich
>
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