CODEWITHSUNDEEP
rcolorslegendboxplot
welcbw
welcbw

Reputation: 23

R Side-by-side grouped boxplot

I have temporal data of gas emissions from two species of plant, both of which have been subjected to the same treatments. With some previous help to get this code together [edit]:

soilflux = read.csv("soil_fluxes.csv") 
library(ggplot2)
soilflux$Treatment <- factor(soilflux$Treatment,levels=c("L-","C","L+"))
soilplot = ggplot(soilflux, aes(factor(Week), Flux, fill=Species, alpha=Treatment)) + stat_boxplot(geom ='errorbar') + geom_boxplot()
soilplot = soilplot + labs(x = "Week", y = "Flux (mg m-2 d-1)") + theme_bw(base_size = 12, base_family = "Helvetica")
soilplot

Producing this which works well but has its flaws.

img

Whilst it conveys all the information I need it to, despite Google trawls and looking through here I just couldn't get the 'Treatment' part of the legend to show that L- is light and L+ darkest. I've also been told that a monochrome colour scheme is easier to differentiate hence I'm trying to get something like this where the legend is clear.

img
(source: biomedcentral.com)

Upvotes: 2

Views: 5237

Answers (1)

thothal
thothal

Reputation: 20329

As a workaround you could create a combined factor from species and treatment and assign the fill colors manually:

library(ggplot2)
library(RColorBrewer)
d <- expand.grid(week = factor(1:4), species = factor(c("Heisteria", "Simarouba")),
                 trt = factor(c("C", "L-", "L+"), levels = c("L-", "C", "L+")))

d <- d[rep(1:24, each = 30), ]
d$flux <- runif(NROW(d))

# Create a combined factor for coding the color
d$spec.trt <- interaction(d$species, d$trt, lex.order = TRUE, sep = " - ")

ggplot(d, aes(x = week, y = flux, fill = spec.trt)) +
   stat_boxplot(geom ='errorbar') + geom_boxplot() +
   scale_fill_manual(values = c(brewer.pal(3, "Greens"), brewer.pal(3, "Reds")))

grouped boxplot

Upvotes: 2

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