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r - ggplot2绘图区域内的两个轴标签

问题描述

我想创建一个 ggplot2，内部有 y 轴和 x 轴标签，即朝内并放置在绘图区域内。

Z.Lin之前的这个SO 回答解决了y 轴的情况，我已经很好地工作了。但是将这种方法扩展到两个轴让我很难过。很难，我想。grobs

因此，我尝试从小处着手，将 Z.Lin 的代码调整为适用于 x 轴而不是 y 轴，但我什至无法做到这一点。grobs真的很复杂。我的尝试（如下）运行没有错误/警告grid.draw()，直到它崩溃并烧毁（我想我在某处滥用了一些 args，但我无法确定是哪个，此时我只是在猜测）。

# locate the grob that corresponds to x-axis labels
x.label.grob <- gp$grobs[[which(gp$layout$name == "axis-b")]]$children$axis

# remove x-axis labels from the plot, & shrink the space occupied by them
gp$grobs[[which(gp$layout$name == "axis-b")]] <- zeroGrob()
gp$widths[gp$layout$l[which(gp$layout$name == "axis-b")]] <- unit(0, "cm")

# create new gtable
new.x.label.grob <- gtable::gtable(widths = unit(1, "npc"))
# place axis ticks in the first row
new.x.label.grob <- 
   gtable::gtable_add_rows(
      new.x.label.grob,
      heights = x.label.grob[["heights"]][1])
new.x.label.grob <- 
   gtable::gtable_add_grob(
      new.x.label.grob,
      x.label.grob[["grobs"]][[1]],
      t = 1, l = 1)
# place axis labels in the second row
new.x.label.grob <- 
   gtable::gtable_add_rows(
      new.x.label.grob,
      heights = x.label.grob[["heights"]][2])
new.x.label.grob <- 
   gtable::gtable_add_grob(
      new.x.label.grob,
      x.label.grob[["grobs"]][[2]],
      t = 1, l = 2)
# add third row that takes up all the remaining space
new.x.label.grob <- 
   gtable::gtable_add_rows(
      new.x.label.grob,
      heights = unit(1, "null"))

gp <- 
   gtable::gtable_add_grob(
      x = gp,
      grobs = new.x.label.grob,
      t = gp$layout$t[which(gp$layout$name == "panel")],
      l = gp$layout$l[which(gp$layout$name == "panel")])
grid.draw(gp)
# Error in unit(widths, default.units) : 
#  'x' and 'units' must have length > 0

我想我的问题可以分成三个半独立的部分，其中每个后续问题都会取代之前的问题（因此，如果您可以回答后面的问题，则无需理会早期的问题）：

这是我的 MWE（主要是复制 Z.Lin 的答案，但有新数据）：

library(dplyr)
library(magrittr)
library(ggplot2)
library(grid)
library(gtable)
library(errors)
df <- structure(list(
   temperature = c(200, 300, 400, 500, 600, 700, 800, 900), 
   diameter = 
      structure(
         c(13.54317, 10.32521, 10.23137, 17.90464, 29.98183, 55.65514, 101.60747, 147.3074), 
         id = "<environment>", 
         errors = c(1.24849, 0.46666, 0.36781, 0.48463, 0.94639, 1.61459, 6.98346, 12.18353), 
         class = "errors")), 
   row.names = c(NA, -8L), 
   class = "data.frame")
p <- ggplot() +
   geom_smooth(data = df %>% filter(temperature >= 400),
               aes(x = temperature, y = diameter),
               method = "lm", formula = "y ~ x",
               se = FALSE, fullrange = TRUE) +
   # experimental errors as red ribbon (instead of errorbars)
   geom_ribbon(data = df,
               aes(x = temperature, 
                   ymin = errors_min(diameter), 
                   ymax = errors_max(diameter)), 
               fill = alpha("red", 0.2),
               colour = alpha("red", 0.2)) +
   geom_point(data = df,
              aes(x = temperature, y = diameter),
              size = 0.7) +
   geom_line(data = df,
             aes(x = temperature, y = diameter),
             size = 0.15) +
   scale_x_continuous(breaks = seq(200, 900, 200)) +
   scale_y_log10(breaks = c(10, seq(30, 150, 30)),
                 labels = c("10", "30", "60", "90", "120", "150=d/nm")) +
   theme(panel.grid.major = element_blank(), 
         panel.grid.minor = element_blank(), 
         axis.title.y = element_blank(),
         axis.text.y = element_text(hjust = 0))
# convert from ggplot to grob object
gp <- ggplotGrob(p)
y.label.grob <- gp$grobs[[which(gp$layout$name == "axis-l")]]$children$axis
gp$grobs[[which(gp$layout$name == "axis-l")]] <- zeroGrob()
gp$widths[gp$layout$l[which(gp$layout$name == "axis-l")]] <- unit(0, "cm")
new.y.label.grob <- gtable::gtable(heights = unit(1, "npc"))
new.y.label.grob <- 
   gtable::gtable_add_cols(
      new.y.label.grob,
      widths = y.label.grob[["widths"]][2])
new.y.label.grob <- 
   gtable::gtable_add_grob(
      new.y.label.grob,
      y.label.grob[["grobs"]][[2]],
      t = 1, l = 1)
new.y.label.grob <- 
   gtable::gtable_add_cols(
      new.y.label.grob,
      widths = y.label.grob[["widths"]][1])
new.y.label.grob <- 
   gtable::gtable_add_grob(
      new.y.label.grob,
      y.label.grob[["grobs"]][[1]],
      t = 1, l = 2)
new.y.label.grob <- 
   gtable::gtable_add_cols(
      new.y.label.grob,                                    
      widths = unit(1, "null"))
gp <- 
   gtable::gtable_add_grob(
      x = gp,
      grobs = new.y.label.grob,
      t = gp$layout$t[which(gp$layout$name == "panel")],
      l = gp$layout$l[which(gp$layout$name == "panel")])
grid.draw(gp)

在此处输入图像描述

> sessionInfo()
R version 3.6.2 (2019-12-12)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.5 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1

locale:
 [1] LC_CTYPE=en_GB.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_GB.UTF-8        LC_COLLATE=en_GB.UTF-8    
 [5] LC_MONETARY=en_GB.UTF-8    LC_MESSAGES=en_GB.UTF-8   
 [7] LC_PAPER=en_GB.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] grid      stats     graphics  grDevices utils     datasets  methods  
[8] base     

other attached packages:
[1] errors_0.3.4  gtable_0.3.0  ggplot2_3.3.2 magrittr_1.5  dplyr_1.0.2  

loaded via a namespace (and not attached):
 [1] rstudioapi_0.11  splines_3.6.2    tidyselect_1.1.0 munsell_0.5.0   
 [5] lattice_0.20-41  colorspace_1.4-1 R6_2.5.0         rlang_0.4.8     
 [9] tools_3.6.2      nlme_3.1-148     mgcv_1.8-31      withr_2.3.0     
[13] ellipsis_0.3.1   digest_0.6.27    yaml_2.2.1       tibble_3.0.4    
[17] lifecycle_0.2.0  crayon_1.3.4     Matrix_1.2-18    purrr_0.3.4     
[21] farver_2.0.3     vctrs_0.3.4      glue_1.4.2       compiler_3.6.2  
[25] pillar_1.4.6     generics_0.1.0   scales_1.1.1     pkgconfig_2.0.3

标签： rggplot2

解决方案

与其将绘图“冻结”为 grob 树然后破解 grobs，我认为看看我们如何将轴移动到内部但将对象保留为 ggplot 可能很有用。做到这一点的方法是编写一个函数来获取您的绘图，提取必要的信息，然后构建轴并将它们添加为注释。

返回的对象是一个普通的 ggplot，你可以像往常一样添加图层、缩放和修改主题：

move_axes_inside <- function(p)
{
  b <- ggplot_build(p)
  x_breaks <- b$layout$panel_scales_x[[1]]$break_info()
  y_breaks <- b$layout$panel_scales_y[[1]]$break_info()
  x_range <- b$layout$panel_params[[1]]$x.range
  y_range <- b$layout$panel_params[[1]]$y.range
  y_breaks$major <- diff(y_breaks$range)/diff(y_range) * y_breaks$major + 
    (y_breaks$range[1] - y_range[1])/diff(y_range)
  x_breaks$major <- diff(x_breaks$range)/diff(x_range) * x_breaks$major + 
    (x_breaks$range[1] - x_range[1])/diff(x_range)
  y <- grid::yaxisGrob(at = y_breaks$major, label = y_breaks$labels, main = FALSE)
  x <- grid::xaxisGrob(at = x_breaks$major, label = x_breaks$labels, main = FALSE)
  p + annotation_custom(y, xmin = x_range[1], xmax = x_range[1]) +
      annotation_custom(x, ymin = y_range[1], ymax = y_range[1]) +
      theme(axis.text.y = element_blank(),
            axis.ticks = element_blank(),
            axis.text.x = element_blank())
    
}

所以用你的情节测试它，我们得到：

p2 <- move_axes_inside(p)
 
p2

在此处输入图像描述

我们可以更改主题元素等：

p2 + theme(panel.grid.major = element_line())

在此处输入图像描述

这需要一些开发和测试才能使其与离散轴等一起工作，但它应该按原样适用于任意连续轴。

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