Hello R Help! I would like to make a legible boxplot of tree growth rates for each of seven tree species at each of seven different sites. It's a lot of data to put on one figure, I know. I made a beautiful, interpretable figure using color, but my target journal can't deal with color figures. I can use seven shades of grey to fill the boxes, but the figure then becomes uninterpretable - the colors of adjacent boxes are too similar. I cannot figure out how to add a pattern, hatching, or cross-hatching to the boxes.
I see that in 2003 Professor Ripley confirmed that one cannot hatch boxplots: http://tolstoy.newcastle.edu.au/R/help/03a/2622.html Is this still true? If so, does anyone have a suggestion for how to make this figure interpretable in black and white? Should I pick a different target journal? Many thanks, Gabe Functional code to make the color figure with fake data follows: # leg.txt = c("Abies grandis","Acer macrophyllum","Calocedrus decurrens","Pinus ponderosa","Pseudotsuga meziensii","Quercus garryana","Quercus kelloggii") site.txt = c("Brownsville","Chip Ross","Finley","Jim's Creek","Lowell","Mount Pisgah","South Eugene") colors = c("gray","red","white","blue","yellow","purple","orange") # Fake data here: site = rep(site.txt, each = 21) sp = rep(rep(leg.txt, each = 3), times = 7) ga = runif(147, 0, 20) datnew.lo = data.frame(site,sp,ga) # Now make the plot: boxplot(ga~sp*site,data=datnew.lo, range = 1, col = colors, ylim = c(0,30), xaxt = "n", xlab = "Site", ylab = "Basal Area Growth Increment", main = "Basal Area Growth Increment by Site and Species") axis(1, at = c(4,11,18,25,32,39,46), labels = site.txt, ) abline(v = 7.5, lty = 3) abline(v = 14.5, lty = 3) abline(v = 21.5, lty = 3) abline(v = 28.5, lty = 3) abline(v = 35.5, lty = 3) abline(v = 42.5, lty = 3) legend("topright", legend = leg.txt, fill = colors, bg = "white") [[alternative HTML version deleted]] ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.
