Question

我将使用来自先前问题（Here）的数据集和绘图：

dat <- read.table(text = "   Division Year OperatingIncome
1  A  2012           11460
2  B  2012            7431
3  C  2012           -8121
4  D  2012           15719
5  E  2012             364
6  A  2011           12211
7  B  2011            6290
8  C  2011           -2657
9  D  2011           14657
10 E  2011            1257
11 A  2010           12895
12 B  2010            5381
13 C  2010           -2408
14 D  2010           11849
15 E  2010             517",header = TRUE,sep = "",row.names = 1)

dat1 <- subset(dat,OperatingIncome >= 0)
dat2 <- subset(dat,OperatingIncome < 0)
ggplot() + 
    geom_bar(data = dat1, aes(x=Year, y=OperatingIncome, fill=Division),stat = "identity") +
    geom_bar(data = dat2, aes(x=Year, y=OperatingIncome, fill=Division),stat = "identity") +
    scale_fill_brewer(type = "seq", palette = 1)

它包括以下情节，这是我的问题所在：

Plot of interest

我的问题：我可以将y轴标签更改为同一侧的两个不同标签吗？有人会说＆＃34;负收入＆＃34;并位于y轴的底部。另一个人会说＆＃34;积极收入＆＃34;并位于SAME y轴的上部。

我已经看到这个问题就不同尺度（在相对侧）的双y轴问题，但我特别希望在同一个y轴上。感谢任何帮助 - 如果可能的话，我也更愿意使用ggplot2来解决这个问题。

Answer 1

您可以使用annotate为负收入和正收入添加标签。要在绘图面板外添加文本，您需要关闭剪裁。以下是在绘图面板内外添加文本的示例：

# Plot
p = ggplot() + 
  geom_bar(data = dat1, aes(x=Year, y=OperatingIncome, fill=Division),stat = "identity") +
  geom_bar(data = dat2, aes(x=Year, y=OperatingIncome, fill=Division),stat = "identity") +
  scale_fill_brewer(type = "seq", palette = 1) +
  geom_hline(yintercept=0, lwd=0.3, colour="grey20") +
  scale_x_continuous(breaks=sort(unique(dat$Year))) +
  theme_bw()

# Annotate inside plot area
p +  coord_cartesian(xlim=range(dat$Year) + c(-0.45,0.4)) + 
  annotate(min(dat$Year) - 0.53 , y=c(-5000,5000), label=c("Negative Income","Positive Income"), 
           geom="text", angle=90, hjust=0.5, size=3, colour=c("red","blue"))

# Annotate outside plot area by turning off clipping
pp = p + coord_cartesian(xlim=range(dat$Year) + c(-0.4,0.4)) + 
  annotate(min(dat$Year) - 0.9, y=c(-6000,10000), label=c("Negative Income","Positive Income"), 
           geom="text", angle=90, hjust=0.5, size=4, colour=c("red","blue")) +
  labs(y="")

pp <- ggplot_gtable(ggplot_build(pp))
pp$layout$clip <- "off"
grid.draw(pp)

您也可以按照@Gregor的建议使用cowplot。我以前没有尝试过这个，所以也许有比我下面所做的更好的方法，但看起来你必须使用视口坐标而不是数据坐标来放置注释。

# Use cowplot
library(cowplot)

ggdraw() +
  draw_plot(p + labs(y=""), 0,0,1,1) +
  draw_label("Positive Income", x=0.01, y = 0.5, col="blue", size = 10, angle=90) +
  draw_label("Negative Income", x=0.01, y = 0.15, col="red", size = 10, angle=90)

我意识到问题中的数据只是为了说明，但对于这样的数据，线图可能更容易理解：

library(dplyr)

ggplot(dat, aes(x=Year, y=OperatingIncome, color=Division)) + 
  geom_hline(yintercept=0, lwd=0.3, colour="grey50") +
  geom_line(position=position_dodge(0.2), alpha=0.5) +
  geom_text(aes(label=Division), position=position_dodge(0.2), show.legend=FALSE) +
  scale_x_continuous(breaks=sort(unique(dat$Year))) +
  theme_bw() +
  guides(colour=FALSE) +
  geom_line(data=dat %>% group_by(Year) %>% summarise(Net=sum(OperatingIncome), Division=NA),
            aes(x=Year, y=Net), alpha=0.4) +
  geom_text(data=dat %>% group_by(Year) %>% summarise(Net=sum(OperatingIncome), Division=NA),
            aes(x=Year, y=Net, label="Net"), colour="black")

或者，如果需要条形图，可能是这样的：

ggplot() + 
  geom_bar(data = dat %>% arrange(OperatingIncome) %>% 
             mutate(Division=factor(Division,levels=unique(Division))), 
           aes(x=Year, y=OperatingIncome, fill=Division), 
           stat="identity", position="dodge") +
  geom_hline(yintercept=0, lwd=0.3, colour="grey20") +
  theme_bw()

在同一轴上添加两个y轴标题

1 个答案: