在ggplot2中组合条形图和折线图(双轴)

我有double-y-axis图表制作Excel.在Excel中,它只需要基本技能.我想做的是使用ggplot2库复制此图表R.

我已经这样做了,但我需要绘制Response 2nd-y-axis.

我附上了我用过的可重现的代码:

#Data generation
Year <- c(2014, 2015, 2016)
Response <- c(1000, 1100, 1200)
Rate <- c(0.75, 0.42, 0.80)

df <- data.frame(Year, Response, Rate)

#Chart
library(ggplot2)

ggplot(df)  + 
  geom_bar(aes(x=Year, y=Response),stat="identity", fill="tan1", colour="sienna3")+
  geom_line(aes(x=Year, y=Rate),stat="identity")+
  geom_text(aes(label=Rate, x=Year, y=Rate), colour="black")+
  geom_text(aes(label=Response, x=Year, y=0.9*Response), colour="black")

setempler.. 23

首先,规模Rate由Rate*max(df$Response)和修改0.9响应文本的规模.

其次,包括第二轴scale_y_continuous(sec.axis=...):

ggplot(df)  + 
    geom_bar(aes(x=Year, y=Response),stat="identity", fill="tan1", colour="sienna3")+
    geom_line(aes(x=Year, y=Rate*max(df$Response)),stat="identity")+
    geom_text(aes(label=Rate, x=Year, y=Rate*max(df$Response)), colour="black")+
    geom_text(aes(label=Response, x=Year, y=0.95*Response), colour="black")+
    scale_y_continuous(sec.axis = sec_axis(~./max(df$Response)))

产量:

首先,规模Rate由Rate*max(df$Response)和修改0.9响应文本的规模.

其次,包括第二轴scale_y_continuous(sec.axis=...):

ggplot(df)  + 
    geom_bar(aes(x=Year, y=Response),stat="identity", fill="tan1", colour="sienna3")+
    geom_line(aes(x=Year, y=Rate*max(df$Response)),stat="identity")+
    geom_text(aes(label=Rate, x=Year, y=Rate*max(df$Response)), colour="black")+
    geom_text(aes(label=Response, x=Year, y=0.95*Response), colour="black")+
    scale_y_continuous(sec.axis = sec_axis(~./max(df$Response)))

产量: