I have the following data.frame
and R-code
and i am trying to produce a bar graph
where precipation
on the secondary axis should be reversed.
library(tidyverse)
DF <- data.frame(Month = 1:12, Flow = c(1,2,5,30,45,50,40,25,15,10,4,1.2),
Prec = c(24,17,23,31,55,93,80,69,13,32,25,25))
ggplot(DF,aes(x = Month))+
geom_bar(aes(y = Flow), stat = "identity", color="blue", fill= "blue", width = 0.5)+
geom_bar(aes(y = Prec*0.5), stat = "identity", color="red", fill= "red", width = 0.5)+
scale_y_continuous("Streamflow", sec.axis = sec_axis(~ . /0.5, name = "Precipitation (mm)"), trans = "reverse")
The secondary axis isn't really the issue here. The problem is having bars sitting on different baselines. The geom layers geom_bar
and geom_col
need to start at the same baseline even when there are different groups, so I don't think there is a way to do this using these geoms. However, it's not terribly difficult to reshape your data to draw the plot using geom_rect
.
DF %>%
pivot_longer(Flow:Prec) %>%
group_by(Month) %>%
summarize(xmin = Month - 0.25,
xmax = Month + 0.25,
ymax = ifelse(name == "Prec", 150, value),
ymin = ifelse(name == "Prec", 150 - value, 0),
name = name) %>%
ggplot(aes(Month, ymin, fill = name)) +
geom_rect(aes(xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax)) +
scale_y_continuous(name = "Flow", expand = c(0, 0),
sec.axis = sec_axis(~ 150 - .x, name = "Precipitation")) +
theme_classic(base_size = 20) +
scale_fill_manual(values = c("red", "blue"),
labels = c("Steam flow", "Precipitation"), name = NULL) +
scale_x_continuous(breaks = 1:12, labels = month.abb) +
theme(panel.border = element_rect(fill = NA),
legend.position = c(0.85, 0.4))