[R] ggplot2: multiple box plots, different tibbles/dataframes

[Bill Dunlap]

I googled for "ggplot2 boxplots by group" and the first hit was
  https://www.r-graph-gallery.com/265-grouped-boxplot-with-ggplot2.html
which displays lots of variants along with the code to produce them.  It
has links to ungrouped boxplots and shows how violin plots can better
display your data.

-Bill

On Thu, Nov 11, 2021 at 5:50 AM Rich Shepard <rshepard using appl-ecosys.com>
wrote:

> On Wed, 10 Nov 2021, Avi Gross via R-help wrote:
>
> > I think many here may not quite have enough info to help you.
>
> Avi,
>
> Actually, you've reflected my thinking.
>
> > But the subject of multiple plots has come up. There are a slew of ways,
> > especially in the ggplot paradigm, to make multiple smaller plots into a
> > larger display showing them in some number of rows and columns, or other
> > ways. Some methods use facet_wrap() or facet_grid() type functionality
> that
> > let you plot multiple subdivisions of the data independently. These
> though
> > generally have to be in some way related.
>
> My experience with facets (which I belive are like latice's conditioned
> trellis plots has each plot in a separate frame in a row, column, or
> matrix.) That won't communicate what I want viewers to see as well as would
> having all in a single frame.
>
> My data represent hydrologic and geochemical conditions at four locations
> along the mainstem of a river. While the period of record for each
> monitoring gauge is different, I want to illustrate how highly variable
> conditions are at each location. The major factor of interest is discharge,
> the volume of water passing a river cross section at the gauge location in
> cubic feet per second. I have created boxplots for each site representing
> the distribution of discharge for the entire data set and I'd like to place
> each of the four horizontal boxplots stacked vertically with the
> southern-most at the bottom and the northern-most at the top (the river
> flows north).
>
> > Yet others let you make many independent graphs and save them and later
> > recombine them in packages like cowplot.
>
> I discovered cowplot yesterday but haven't yet read the PDF or vignette.
>
> > So, although it may also be possible to do whatever it is you want
> within a
> > single plot, it may also make sense to do it as loosely described above.
>
> While I certainly may be wrong, I believe that seeing all four boxplots in
> the same frame makes the differences in distribution most clear.
>
> Thanks,
>
> Rich
>
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