用gridExtra排列GGally地块?
我想安排我的ggpairs
地块与arrangeGrob
:
library(GGally)
library(gridExtra)
df <- structure(list(var1 = 1:5, var2 = 4:8, var3 = 6:10), .Names = c("var1", "var2", "var3"), row.names = c(NA, -5L), class = "data.frame")
p1 <- ggpairs(df, 1:3)
p2 <- ggpairs(df, 1:2)
p <- arrangeGrob(p1, p2, ncol=2)
导致这个错误:
Error in arrangeGrob(p1, p2, ncol = 2) : input must be grobs!
有没有办法解决这个问题?
不幸的是,我看不到这是可能的。
首先,它不会与gridExtra
一起工作,因为arrangeGrob
在TableGrob
对象上TableGrob
:
> ggplotGrob(qplot(1:100))
stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.
TableGrob (6 x 5) "layout": 8 grobs
z cells name grob
1 0 (1-6,1-5) background rect[plot.background.rect.3349]
2 3 (3-3,3-3) axis-l absoluteGrob[GRID.absoluteGrob.3341]
3 1 (4-4,3-3) spacer zeroGrob[NULL]
4 2 (3-3,4-4) panel gTree[GRID.gTree.3329]
5 4 (4-4,4-4) axis-b absoluteGrob[GRID.absoluteGrob.3335]
6 5 (5-5,4-4) xlab text[axis.title.x.text.3343]
7 6 (3-3,2-2) ylab text[axis.title.y.text.3345]
8 7 (2-2,4-4) title text[plot.title.text.3347]
ggpairs
对象的内部表示只包含要调用的方法,而不是实际的grobs:
> str(p1$plots)
List of 9
$ : chr "ggally_diagAxis(ggally_data, ggplot2::aes(x = var1))"
$ : chr "ggally_cor(ggally_data, ggplot2::aes(x = var2, y = var1))"
$ : chr "ggally_cor(ggally_data, ggplot2::aes(x = var3, y = var1))"
$ : chr "ggally_points(ggally_data, ggplot2::aes(x = var1, y = var2))"
$ : chr "ggally_diagAxis(ggally_data, ggplot2::aes(x = var2))"
$ : chr "ggally_cor(ggally_data, ggplot2::aes(x = var3, y = var2))"
$ : chr "ggally_points(ggally_data, ggplot2::aes(x = var1, y = var3))"
$ : chr "ggally_points(ggally_data, ggplot2::aes(x = var2, y = var3))"
$ : chr "ggally_diagAxis(ggally_data, ggplot2::aes(x = var3))"
构建实际Grobs的整个工作由GGally:::print.ggpairs
。 看看源代码,你会看到grid.newpage()
以及多个popViewport
和pushViewport
。 这意味着即使是低级的grid
方法(例如这里描述的)也不适用,因为您的grid
构造将被GGally:::print.ggpairs
覆盖。
当然总有一种方法。 修改源代码始终是一种选择,但我相信这对您的任务来说是一条漫长而艰难的路径。 如果有人能想出一个简单的解决方法,我会很高兴被证明是错误的。
library(GGally)
library(gridExtra)
library(grid)
# reproducing initial data
df <- structure(list(var1 = 1:5, var2 = 4:8, var3 = 6:10),
.Names = c("var1", "var2", "var3"),
row.names = c(NA, -5L), class = "data.frame")
p1 <- ggpairs(df, 1:3)
p2 <- ggpairs(df, 1:2)
# declaring new method for drawing ggmatrix objects using grid.draw
grid.draw.ggmatrix <- function(x, recording = T) print(x, gridNewPage = F)
# then making them look like grob objects
attributes(p1)$class <- c(attributes(p1)$class, "grob")
attributes(p2)$class <- c(attributes(p2)$class, "grob")
p <- arrangeGrob(p1, p2, ncol=2)
grid.newpage()
grid.draw(p)
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