如何使用`cowplot` package中的`plot_grid`对齐包含在最后一列图中的图例？

Question

我使用来自plot_grid cowplot的 plot_grid 安排了 16 个地块（4x4）。 我想对齐排列的最后一列，以使所有图例垂直对称。 我读过这个，但我没有得到我想要的。 我不知道为什么它不起作用。

arrange <- plot_grid(P.ADelay.5m,P.ADelay.15m,P.ADelay.25m,P.ADelay.35m + theme(legend.justification = c(0,1)),
                     P.SW.5m,P.SW.15m,P.SW.25m,P.SW.35m + theme(legend.justification = c(0,1)),
                     P.Method.5m,P.Method.15m,P.Method.25m,P.Method.35m + theme(legend.justification = c(0,1)),
                     P.Period.5m,P.Period.15m,P.Period.25m,P.Period.35m + theme(legend.justification = c(0,1)),
                     P.Statistic.5m,P.Statistic.15m,P.Statistic.25m,P.Statistic.35m + theme(legend.justification = c(0,1)),
                     ncol=4, nrow = 5, align = "v" )

arrange

我分享了这个假的例子，在这个例子中我遵循了相同的程序：

library(ggplot2)
library(cowplot)
library(ggpubr)
theme_set(theme_cowplot())

df1 <- data.frame(x = 1:12, y = (1:12)^2)
df1$grp = c('A', 'B', 'C')

df2 <- data.frame(x = 1:12, y = (1:12)^2)
df2$Statistic = c('none', 'Mean')

df3 <- data.frame(x = 1:12, y = (1:12)^2)
df3$Methodology = c('FFFFFF', 'GGGGGGGGG', 'HH','IIIII')

df4 <- data.frame(x = 1:12, y = (1:12)^2)
df4$Depth = c('15m', '1000m')

p1.a <- ggplot(df1, aes(x, y, color=grp)) + geom_point()  + theme(legend.position = "none")
p1.b  <- ggplot(df1, aes(x, y, color=grp)) + geom_point()

p2.a <- ggplot(df2, aes(x, y, color=Statistic)) + geom_point()  + theme(legend.position = "none")
p2.b  <- ggplot(df2, aes(x, y, color=Statistic)) + geom_point()

p3.a <- ggplot(df3, aes(x, y, color=Methodology)) + geom_point()  + theme(legend.position = "none")
p3.b  <- ggplot(df3, aes(x, y, color=Methodology)) + geom_point()

p4.a <- ggplot(df4, aes(x, y, color=Depth)) + geom_point()  + theme(legend.position = "none")
p4.b  <- ggplot(df4, aes(x, y, color=Depth)) + geom_point()

plot_grid(
  p1.a, p1.a, p1.a, p1.b + theme(legend.justification = c(0,1)),
  p2.a, p2.a, p2.a, p2.b + theme(legend.justification = c(0,1)),
  p3.a, p3.a, p3.a, p3.b + theme(legend.justification = c(0,1)),
  p4.a, p4.a, p4.a, p4.b + theme(legend.justification = c(0,1)),
  ncol = 4,align = "hv"
)

我收到消息“警告消息：除非设置了轴参数，否则图形无法垂直对齐。放置未对齐的图形。”

我应该如何对齐图例？

Answer 1

您可以使用patchwork而成的 package。 我发现它比cowplot快很多。

library(ggplot2)
library(cowplot)
#> 
#> ********************************************************
#> Note: As of version 1.0.0, cowplot does not change the
#>   default ggplot2 theme anymore. To recover the previous
#>   behavior, execute:
#>   theme_set(theme_cowplot())
#> ********************************************************
theme_set(theme_cowplot())

df1 <- data.frame(x = 1:12, y = (1:12)^2)
df1$grp = c('A', 'B', 'C')

df2 <- data.frame(x = 1:12, y = (1:12)^2)
df2$Statistic = c('none', 'Mean')

df3 <- data.frame(x = 1:12, y = (1:12)^2)
df3$Methodology = c('FFFFFF', 'GGGGGGGGG', 'HH','IIIII')

df4 <- data.frame(x = 1:12, y = (1:12)^2)
df4$Depth = c('15m', '1000m')

p1.a <- ggplot(df1, aes(x, y, color=grp)) + geom_point()  + theme(legend.position = "none")
p1.b  <- ggplot(df1, aes(x, y, color=grp)) + geom_point() + theme(legend.justification = c(0,1)) 

p2.a <- ggplot(df2, aes(x, y, color=Statistic)) + geom_point()  + theme(legend.position = "none")
p2.b  <- ggplot(df2, aes(x, y, color=Statistic)) + geom_point() + theme(legend.justification = c(0,1))

p3.a <- ggplot(df3, aes(x, y, color=Methodology)) + geom_point()  + theme(legend.position = "none")
p3.b  <- ggplot(df3, aes(x, y, color=Methodology)) + geom_point() + theme(legend.justification = c(0,1))

p4.a <- ggplot(df4, aes(x, y, color=Depth)) + geom_point()  + theme(legend.position = "none")
p4.b  <- ggplot(df4, aes(x, y, color=Depth)) + geom_point() + theme(legend.justification = c(0,1))


library(patchwork)
#> 
#> Attaching package: 'patchwork'
#> The following object is masked from 'package:cowplot':
#> 
#>     align_plots

# define plot layout 4 x 4
layout <- "
ABCD
EFGH
IJKL
MNOP
"

p1.a + p1.a + p1.a + p1.b +
p2.a + p2.a + p2.a + p2.b +
p3.a + p3.a + p3.a + p3.b +
p4.a + p4.a + p4.a + p4.b +
  plot_layout(design = layout)

^{由代表 package (v0.3.0) 于 2020 年 5 月 25 日创建}

Answer 2

可能有多种方法可以处理此问题，但一种选择是将图例放置在它们自己的网格列中：

p1.a <- ggplot(df1, aes(x, y, color=grp)) + geom_point() + theme(legend.justification = c(0,0.8))
p1.leg  <- as_ggplot(get_legend(p1.a))
p1.a <- p1.a + theme(legend.position = "none")

p2.a <- ggplot(df2, aes(x, y, color=Statistic)) + geom_point() + theme(legend.justification = c(0,0.8))
p2.leg  <- as_ggplot(get_legend(p2.a))
p2.a <- p2.a + theme(legend.position = "none")

p3.a <- ggplot(df3, aes(x, y, color=Methodology)) + geom_point() + theme(legend.justification = c(0,0.8))
p3.leg  <- as_ggplot(get_legend(p3.a))
p3.a <- p3.a + theme(legend.position = "none")

p4.a <- ggplot(df4, aes(x, y, color=Depth)) + geom_point() + theme(legend.justification = c(0,0.8))
p4.leg  <- as_ggplot(get_legend(p4.a))
p4.a <- p4.a + theme(legend.position = "none")

plot_grid(
  p1.a, p1.a, p1.a, p1.a, p1.leg,
  p2.a, p2.a, p2.a, p2.a, p2.leg,
  p3.a, p3.a, p3.a, p3.a, p3.leg,
  p4.a, p4.a, p4.a, p4.a, p4.leg,
  ncol = 5, align = "hv"
)