我正在尝试使用下面的代码来实现所附的手绘图,但是在我没有数据的所有年份中,其显示的都是空白。任何帮助将不胜感激。
library(lubridate)
library(tidyverse)
set.seed(123)
D1 <- data.frame(Date = seq(as.Date("2001-07-14"), to= as.Date("2001-07-21"), by="day"),
A = runif(8, 0,10),
D = runif(8,5,15)) %>%
gather(-Date, key = "Variable", value = "Value")
D2 <- data.frame(Date = seq(as.Date("1998-07-14"), to= as.Date("1998-08-30"), by="day"),
A = runif(48, 0,10),
D = runif(48,5,15)) %>%
gather(-Date, key = "Variable", value = "Value")
D <- bind_rows(D1,D2) %>% mutate(Year = year(Date))
my_linetype <- setNames(c("dashed", "solid"), unique(D$Year))
ggplot(data = D, aes(x = Date, y = Value, color = as.factor(Year), linetype = as.factor(Year)))+
geom_line(size = 1.1)+ facet_wrap(~Variable, scales = "free_y", nrow=2)
所需
答案 0 :(得分:1)
您可以在data.frame中创建一个虚拟Date
变量,其中不同组之间的年份相同。在下面的示例中,此变量添加到mutate()
变量下的Unyear
语句中。
D <- bind_rows(D1,D2) %>% mutate(Year = year(Date),
Unyear = {year(Date) <- 0; Date})
my_linetype <- setNames(c("dashed", "solid"), unique(D$Year))
ggplot(data = D, aes(x = Unyear, y = Value, color = as.factor(Year), linetype = as.factor(Year)))+
geom_line(size = 1.1)+ facet_wrap(~Variable, scales = "free_y", nrow=2)