I'd like to add a shaded region, using ggplot2, connecting the category for each bar as shown in this graph
Data
library(ggplot2)
specie <- c(rep("sorgho" , 3) , rep("poacee" , 3) , rep("banana" , 3) , rep("triticum" , 3) )
condition <- rep(c("normal" , "stress" , "Nitrogen") , 4)
value <- abs(rnorm(12 , 0 , 15))
data <- data.frame(specie,condition,value)
ggplot(data, aes(fill=condition, y=value, x=specie))
geom_bar(position="fill", stat="identity", width = .5)
CodePudding user response:
What you are describing is more like an alluvial plot, and you should check out ggalluvial
.
However, it is possible in vanilla ggplot using a lot of data manipulation and geom_area
library(tidyverse)
alluvia <- data %>%
mutate(condition = factor(condition, c('Nitrogen', 'normal', 'stress'))) %>%
group_by(specie) %>%
arrange(specie, condition, by_group = TRUE) %>%
mutate(y = value) %>%
ungroup() %>%
mutate(x = as.numeric(as.factor(specie))) %>%
group_by(specie, condition) %>%
summarise(x = c(x - 0.25, x, x 0.25), y = y)
ggplot(alluvia %>% filter(x %% 1 == 0), aes(x, y, fill = condition))
geom_area(data = alluvia, alpha = 0.4, position = 'fill')
geom_col(width = 0.5, color = 'gray50', position = 'fill')
scale_x_continuous(breaks = 1:4, labels = unique(alluvia$specie),
name = 'specie')
theme_minimal(base_size = 16)
scale_fill_brewer(palette = 'Set2')
theme(panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank())
For a quick and easy (but not as pretty) equivalent in vanilla ggplot you can use a geom_area
with thinner bars:
ggplot(data, aes(fill=condition, y=value, x=specie))
geom_area(aes(group = condition), position = 'fill', alpha = 0.5)
geom_bar(position="fill", stat="identity", width = .25)