组合 ggplot2 对象时设置拼凑中的轴限制

组合时ggplot2对象使用拼凑而成 https://patchwork.data-imaginist.com/index.html我希望能够有一个选项，可以轻松地为所有图设置一个选项，使其具有相同的 x 轴和/或 y 轴范围。

reprex:

library(patchwork)
library(ggplot2)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

p1 <- mtcars %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 1')

p2 <- mtcars %>% 
  filter(disp < 300) %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 2')

p1 + p2

^{Created on 2020-02-01 by the reprex package https://reprex.tidyverse.org (v0.3.0)}

预期结果将其设置为在两个图中具有相同范围的两个轴：

library(patchwork)
library(ggplot2)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

p1 <- mtcars %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 1')

p2 <- mtcars %>% 
  filter(disp < 300) %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 2') +
  xlim(ggplot_build(p1)$layout$panel_scales_x[[1]]$range$range) +
  ylim(ggplot_build(p1)$layout$panel_scales_y[[1]]$range$range)

p1 + p2

^{Created on 2020-02-01 by the reprex package https://reprex.tidyverse.org (v0.3.0)}

有人有什么想法吗？

好吧，我很抱歉回答我自己的问题，但我刚刚找到了解决方案..

这可以通过使用很好地实现&，它将函数应用于拼凑对象中的所有绘图。

1）代表：

library(patchwork)
library(ggplot2)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union

p1 <- mtcars %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 1')

p2 <- mtcars %>% 
  filter(disp < 300) %>% 
  ggplot() + 
  geom_point(aes(mpg, disp)) + 
  ggtitle('Plot 2')

p_combined <- p1 + p2

p_combined

^{Created on 2020-02-01 by the reprex package https://reprex.tidyverse.org (v0.3.0)}

2) 获取范围内的最小值和最大值：

p_ranges_x <- c(ggplot_build(p_combined[[1]])$layout$panel_scales_x[[1]]$range$range,
  ggplot_build(p_combined[[2]])$layout$panel_scales_x[[1]]$range$range)

p_ranges_y <- c(ggplot_build(p_combined[[1]])$layout$panel_scales_y[[1]]$range$range,
                ggplot_build(p_combined[[2]])$layout$panel_scales_y[[1]]$range$range)

3) 将这些范围应用于拼凑对象：

p_combined & 
  xlim(min(p_ranges_x), max(p_ranges_x)) & 
  ylim(min(p_ranges_y), max(p_ranges_y))

^{Created on 2020-02-01 by the reprex package https://reprex.tidyverse.org (v0.3.0)}