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 <rshep...@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 > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
