如何在 R 中绘制条形图的辅助轴？

Question

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")

Target: I would like to see a plot like below

Answer 1

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))

Answer 2

Another option using your two geom_bar with ggplot_build . Here you change the origin of your blue bars by making the origin the "max_flow" (max value of flow). Here is a reproducible example:

library(ggplot2)

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))

# plot
p <- ggplot(DF,aes(x = Month))+
  geom_bar(aes(y = Flow, fill= "red"), stat = "identity", width = 0.5)+
  geom_bar(aes(y = Prec*0.5, fill = "blue"), stat = "identity", width = 0.5)+
  scale_x_continuous(breaks = 1:12, labels = month.abb) +
  scale_y_continuous("Streamflow", sec.axis = sec_axis(~ rev(. /0.5), name = "Precipitation (mm)"), expand = c(0,0)) +
  scale_fill_manual(values = c("blue", "red"), labels = c("Precipitation", "Steam flow"), name = NULL) +
  theme_classic() +
  theme(panel.border = element_rect(fill = NA), legend.position = c(0.85, 0.4)) 

# Max value to use as origin
max_flow <- max(DF$Flow)

# Transform bars to upper side
q <- ggplot_build(p)
q$data[[2]]$ymin <- max_flow
q$data[[2]]$ymax <- max_flow-q$data[[2]]$ymax
q <- ggplot_gtable(q)
plot(q)

^{Created on 2022-09-11 with reprex v2.0.2}