ggplot：如何在 x 轴上对齐两个时间序列图？

Question

我正在努力解决以下问题。考虑这个（简单的）例子

library(grid)
library(gridExtra)
library(gtable)
library(dplyr)
library(lubridate)
options("digits.secs"=3)

time1 = c('2013-01-03 22:04:21.549', '2013-01-03 22:04:22.549', '2013-01-03 22:04:23.559', '2013-01-03 22:04:24.559' )
value1 = c(1,2,3,4)
data1 <- data_frame(time1, value1)
data1 <- data1 %>%  mutate(time1 = ymd_hms(time1))

time2 = c('2013-01-03 22:04:21.800', '2013-01-03 22:04:22.549', '2013-01-03 22:04:25.559', '2013-01-03 22:04:26.559' )
value2 = c(1,2,3,4)
data2 <- data_frame(time2, value2)
data2 <- data2  %>%  mutate(time2 = ymd_hms(time2))

g1 <- ggplot(data1, aes(x = time1, y = value1)) +geom_point()
g2 <- ggplot(data2, aes(x = time2, y = value2)) +geom_point()


graph_1 <- arrangeGrob(g1, g2, ncol=1)
grid.draw(graph_1)

给出

如您所见，x 轴未正确对齐。任何想法如何做到这一点？ How to align two plots with ggplot? 等替代解决方案在这里不起作用。

非常感谢！！

Answer 1

您可以对两个图使用相同的限制（第一个）或使用 facet_grid 对齐图的范围（第二个）。

# first method
mx <- ymd_hms("2013-01-03 22:04:21.000")
mn <- ymd_hms("2013-01-03 22:04:27.000")
grid.arrange(g1 + scale_x_datetime(limits=c(mx, mn)),
             g2 + scale_x_datetime(limits=c(mx, mn)))

# second method
names(data1) <- c("time", "value")
names(data2) <- c("time", "value")
df <- bind_rows(first=data1, second=data2, .id="group")
ggplot(df, aes(x=time, y=value)) + geom_point() + facet_grid(group ~ .)

Answer 2

您可以将两个图的范围设置为数据范围：

xmin <- ymd_hms(min(time1,time2))
xmax <- ymd_hms(max(time1,time2))

g1 <- ggplot(data1, aes(x = time1, y = value1)) + geom_point() +
  theme(axis.title.x = element_blank()) + xlim(xmin, xmax)

g2 <- ggplot(data2, aes(x = time2, y = value2)) + geom_point() +
  xlim(xmin, xmax)

ggplot：如何在 x 轴上对齐两个时间序列图？

ggplot: how to align two time-series plots on the x axis?

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