如何在时间序列中途更改 ggplot2 中的线属性?

How to change line properties in ggplot2 halfway in a time series?

economics{ggplot2} 数据集

中获取两个时间序列的以下简单图
require(dplyr)
require(ggplot2)
require(lubridate)
require(tidyr)

economics %>%
  gather(indicator, percentage, c(4:5), -c(1:3, 6)) %>%
  mutate(Y2K = year(date) >= 2000) %>%
  group_by(indicator, Y2K) %>%
  ggplot(aes(date, percentage, group = indicator, colour = indicator)) + geom_line(size=1)

我想将 21 世纪所有点的 linetype 从 "solid" 更改为 "dashed"(可能还有行 size),即Y2K 等于 TRUE 的那些观察结果。

我做了一个 group_by(indicator, Y2K),但在 ggplot 命令中,我似乎无法在多个级别上使用 group =,所以线属性现在只有 indicator 不同。

问题:如何实现这种分割线的外观?

更新:我的首选解决方案是对@sahoang 的解决方案进行了细微调整:

economics %>%
        gather(indicator, percentage, c(4:5), -c(1:3, 6)) %>%
        ggplot(aes(date, percentage, colour = indicator)) + 
        geom_line(size=1, aes(linetype = year(date) >= 2000)) +
        scale_linetype(guide = F)

这消除了@Roland评论的group_byfilter步骤确保时间序列将在Y2K点连接(如果数据是基于年份的,否则可能会出现视觉上的不连续性)。

比@Roland 的建议更简单:

economics %>%
    gather(indicator, percentage, c(4:5), -c(1:3, 6)) %>%
    mutate(Y2K = year(date) >= 2000) %>%
    group_by(indicator, Y2K) -> econ

ggplot(econ, aes(date, percentage, group = indicator, colour = indicator)) + 
  geom_line(data = filter(econ, !Y2K), size=1, linetype = "solid") + 
  geom_line(data = filter(econ, Y2K), size=1, linetype = "dashed")

P.S。改变绘图宽度以消除尖峰伪影(红线)。

require(dplyr)
require(ggplot2)
require(lubridate)
require(tidyr)


economics %>%
  gather(indicator, percentage, c(4:5), -c(1:3, 6)) %>%
  mutate(Y2K = year(date) >= 2000) %>%
  ggplot(aes(date, percentage, colour = indicator)) + 
  geom_line(size=1, aes(linetype = Y2K))