在ggplot2中的列中跨列合并多个facet条 [英] Combine multiple facet strips across columns in ggplot2 facet_wrap
问题描述
gtable + grid解决方案，但是很遗憾，我无法使用ggh4x包中的facet_nested()(由于各种限制，我无法将其安装在公司的服务器上和所需的依赖关系-我只考虑使用相关代码，但是由于依赖关系，这又不容易).
我想通过指出哪些面板属于"来简化基础图的最小可行示例.通过组合顶部小平面条看起来像这样:library(tidyverse)
library(gtable)
library(grid)
idx = 1:16
p1 = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n())) %>%
ggplot(aes(x=x,y=y)) +
geom_jitter() +
facet_wrap(~id + id2, nrow = 4, ncol=8)
带"1"的带，带"2"的带等应组合在一起(实际上是一段较长的文字，但这只是为了说明).我正在尝试针对类似情况调整答案( https://stackoverflow.com/a/40316170/7744356 -谢谢@markus再次找到它)，但这就是我尝试过的方法.正如您在下面看到的那样，我生产的产品的高度似乎是错误的.我认为这一定是我忽略/不了解的琐碎事情.
# Combine strips for a ID
g <- ggplot_gtable(ggplot_build(p1))
strip <- gtable_filter(g, "strip-t", trim = FALSE)
stript <- which(grepl('strip-t', g$layout$name))
stript2 = stript[idx*2-1]
top <- strip$layout$t[idx*2-1]
# # Using the $b below instead of b = top[i]+1, also seems not to work
#bot <- strip$layout$b[idx*2-1]
l <- strip$layout$l[idx*2-1]
r <- strip$layout$r[idx*2]
mat <- matrix(vector("list",
length = length(idx)*3),
nrow = length(idx))
mat[] <- list(zeroGrob())
res <- gtable_matrix("toprow", mat,
unit(c(1, 0, 1), "null"),
unit( rep(1, length(idx)),
"null"))
for (i in 1:length(stript2)){
if (i==1){
zz <- res %>%
gtable_add_grob(g$grobs[[stript2[i]]]$grobs[[1]], 1, 1, 1, 3) %>%
gtable_add_grob(g, .,
t = top[i],
l = l[i],
b = top[i]+1,
r = r[i],
name = c("add-strip"))
} else {
zz <- res %>%
gtable_add_grob(g$grobs[[stript2[i]]]$grobs[[1]], 1, 1, 1, 3) %>%
gtable_add_grob(zz, .,
t = top[i],
l = l[i],
b = top[i]+1,
r = r[i],
name = c("add-strip"))
}
}
grid::grid.draw(zz)
------------使用ggh4x实现更新-----------------
这可能会解决许多类型的问题，但是有其缺点(例如，行之间的轴对齐需要一些手动操作，可能需要手动删除x轴并确保限制相同，添加统一的y轴标签，需要安装来自github的软件包:devtools::install_github("teunbrand/ggh4x@v0.1")以获取特定版本，再加上cowplot与ggtern的交互不良).因此，如果有人仍然设法制作纯gtable + grid版本，我会很喜欢.
library(tidyverse)
library(ggh4x)
library(cowplot)
plots = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n()),
plotrow=(id-1)%/%4+1) %>%
group_by(plotrow) %>%
group_map( ~ ggplot(data=.,
aes(x=x,y=y)) +
geom_jitter() +
facet_nested( ~ id + id2, ))
plot_grid(plotlist = plots, nrow = 4, ncol=1)
这是在网格中使用行人方式的一种代表.我已将父母"设为刻面稍微暗一点以强调嵌套效果，但是如果您希望颜色匹配，只需将rectGrob填充颜色更改为"gray85"即可.
#按照示例设置图
library(tidyverse)
library(gtable)
library(grid)
idx = 1:16
p1 = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n())) %>%
ggplot(aes(x=x,y=y)) +
geom_jitter() +
facet_wrap(~id + id2, nrow = 4, ncol=8)
g <- ggplot_gtable(ggplot_build(p1))
#产生刻面条的代码
stript <- grep("strip", g$layout$name)
grid_cols <- sort(unique(g$layout[stript,]$l))
t_vals <- rep(sort(unique(g$layout[stript,]$t)), each = length(grid_cols)/2)
l_vals <- rep(grid_cols[seq_along(grid_cols) %% 2 == 1], length = length(t_vals))
r_vals <- rep(grid_cols[seq_along(grid_cols) %% 2 == 0], length = length(t_vals))
labs <- levels(as.factor(p1$data$id))
for(i in seq_along(labs))
{
filler <- rectGrob(y = 0.7, height = 0.6, gp = gpar(fill = "gray80", col = NA))
tg <- textGrob(label = labs[i], y = 0.75, gp = gpar(cex = 0.8))
g <- gtable_add_grob(g, filler, t = t_vals[i], l = l_vals[i], r = r_vals[i],
name = paste0("filler", i))
g <- gtable_add_grob(g, tg, t = t_vals[i], l = l_vals[i], r = r_vals[i],
name = paste0("textlab", i))
}
grid.newpage()
grid.draw(g)
并演示如何将rectGrob更改为50％的高度和"gray85":
或者，如果您愿意，可以为循环的每个循环分配不同的填充:
很明显，上述方法可能需要进行一些调整才能适合其他具有不同级别数的地块等.
由 reprex软件包(v0.3.0)创建于2020-07-04 sup>
I am trying to combine facet strips across two adjacent panels (there is always two adjacent ones with the same first ID variable, but with two different scenarios, let's call them "A" and "B"). I am not particularly wedded to the gtable + grid solution I tried, but sadly I cannot use the facet_nested() from the ggh4x package (I cannot install it on my company's server due to various restrictions that are in place and needed dependencies - I looked at using only the relevant code, but that again is not easy due to the dependencies).
A minimum viable example of the basic plot I want to make easier to read by indicating which panels "belong together" by combining the top facet strips looks like this:
library(tidyverse)
library(gtable)
library(grid)
idx = 1:16
p1 = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n())) %>%
ggplot(aes(x=x,y=y)) +
geom_jitter() +
facet_wrap(~id + id2, nrow = 4, ncol=8)
The strips with the "1"s, the ones with the "2"s etc. should be combined (in reality it's a somewhat longer text, but this is just for illustration). I was trying to adapt an answer for a similar scenario (https://stackoverflow.com/a/40316170/7744356 - thank you @markus for finding it again), but this is what I tried. As you can see below, the height of what I produce seems wrong. I assume this must be some trivial thing I am overlooking/not understanding.
# Combine strips for a ID
g <- ggplot_gtable(ggplot_build(p1))
strip <- gtable_filter(g, "strip-t", trim = FALSE)
stript <- which(grepl('strip-t', g$layout$name))
stript2 = stript[idx*2-1]
top <- strip$layout$t[idx*2-1]
# # Using the $b below instead of b = top[i]+1, also seems not to work
#bot <- strip$layout$b[idx*2-1]
l <- strip$layout$l[idx*2-1]
r <- strip$layout$r[idx*2]
mat <- matrix(vector("list",
length = length(idx)*3),
nrow = length(idx))
mat[] <- list(zeroGrob())
res <- gtable_matrix("toprow", mat,
unit(c(1, 0, 1), "null"),
unit( rep(1, length(idx)),
"null"))
for (i in 1:length(stript2)){
if (i==1){
zz <- res %>%
gtable_add_grob(g$grobs[[stript2[i]]]$grobs[[1]], 1, 1, 1, 3) %>%
gtable_add_grob(g, .,
t = top[i],
l = l[i],
b = top[i]+1,
r = r[i],
name = c("add-strip"))
} else {
zz <- res %>%
gtable_add_grob(g$grobs[[stript2[i]]]$grobs[[1]], 1, 1, 1, 3) %>%
gtable_add_grob(zz, .,
t = top[i],
l = l[i],
b = top[i]+1,
r = r[i],
name = c("add-strip"))
}
}
grid::grid.draw(zz)
------------ Update with a ggh4x implementation -----------------
This may solve this type of problem for many, but has its downsides (e.g. axes alignment across rows gets a bit manual, probably need to manually remove x-axes and ensure the limits are the same, add a unified y-axis label, requires installation of a package from github: devtools::install_github("teunbrand/ggh4x@v0.1") for a specific version, plus cowplot interacts badly with e.g. ggtern). So I'd love it, if someone still managed to do a pure gtable + grid version.
library(tidyverse)
library(ggh4x)
library(cowplot)
plots = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n()),
plotrow=(id-1)%/%4+1) %>%
group_by(plotrow) %>%
group_map( ~ ggplot(data=.,
aes(x=x,y=y)) +
geom_jitter() +
facet_nested( ~ id + id2, ))
plot_grid(plotlist = plots, nrow = 4, ncol=1)
Here's a reprex of a somewhat pedestrian way to do it in grid. I have made the "parent" facet somewhat darker to emphasise the nesting, but if you prefer the color to match just change the rectGrob fill color to "gray85".
# Set up plot as per example
library(tidyverse)
library(gtable)
library(grid)
idx = 1:16
p1 = expand_grid(id=idx, id2=c("A", "B"), x=1:10) %>%
mutate(y=rnorm(n=n())) %>%
ggplot(aes(x=x,y=y)) +
geom_jitter() +
facet_wrap(~id + id2, nrow = 4, ncol=8)
g <- ggplot_gtable(ggplot_build(p1))
# Code to produce facet strips
stript <- grep("strip", g$layout$name)
grid_cols <- sort(unique(g$layout[stript,]$l))
t_vals <- rep(sort(unique(g$layout[stript,]$t)), each = length(grid_cols)/2)
l_vals <- rep(grid_cols[seq_along(grid_cols) %% 2 == 1], length = length(t_vals))
r_vals <- rep(grid_cols[seq_along(grid_cols) %% 2 == 0], length = length(t_vals))
labs <- levels(as.factor(p1$data$id))
for(i in seq_along(labs))
{
filler <- rectGrob(y = 0.7, height = 0.6, gp = gpar(fill = "gray80", col = NA))
tg <- textGrob(label = labs[i], y = 0.75, gp = gpar(cex = 0.8))
g <- gtable_add_grob(g, filler, t = t_vals[i], l = l_vals[i], r = r_vals[i],
name = paste0("filler", i))
g <- gtable_add_grob(g, tg, t = t_vals[i], l = l_vals[i], r = r_vals[i],
name = paste0("textlab", i))
}
grid.newpage()
grid.draw(g)
And to demonstrate changing the rectGrob to 50% height and "gray85":
Or if you wanted you could assign a different fill for each cycle of the loop:
Obviously the above method might take a few tweaks to fit other plots with different numbers of levels etc.
Created on 2020-07-04 by the reprex package (v0.3.0)
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