如何管理gtable（）的t，b，l，r坐标以正确绘制辅助y轴的标签和刻度线

Question

我正在使用facet_wrap并且还能够绘制辅助y轴。然而，标签没有在轴附近绘制，而是绘制得非常远。我意识到如果我理解如何操纵凹槽的gtable（t，b，l，r）的坐标系，它将全部解决。有人可以解释他们实际描绘的方式和内容 - t：r = c（4,8,4,4）意味着什么。

辅助yaxis与ggplot有许多链接，但是当nrow / ncol大于1时，它们会失败。那么请教我网格几何和grobs位置管理的基础知识。

编辑：代码

this is the final code written by me :

library(ggplot2)
library(gtable)
library(grid)
library(data.table)
library(scales)

# Data  
diamonds$cut <- sample(letters[1:13], nrow(diamonds), replace = TRUE)
dt.diamonds <- as.data.table(diamonds) 
d1 <- dt.diamonds[,list(revenue = sum(price),
                    stones = length(price)),
              by=c("clarity", "cut")]
setkey(d1, clarity, cut)

# The facet_wrap plots
p1 <- ggplot(d1, aes(x = clarity, y = revenue, fill = cut)) +
geom_bar(stat = "identity") +
labs(x = "clarity", y = "revenue") +
facet_wrap( ~ cut) +
scale_y_continuous(labels = dollar, expand = c(0, 0)) + 
theme(axis.text.x = element_text(angle = 90, hjust = 1),
    axis.text.y = element_text(colour = "#4B92DB"), 
    legend.position = "bottom")

p2 <- ggplot(d1, aes(x = clarity, y = stones, colour = "red")) +
  geom_point(size = 4) + 
  labs(x = "", y = "number of stones") + expand_limits(y = 0) +
  scale_y_continuous(labels = comma, expand = c(0, 0)) +
  scale_colour_manual(name = '', values = c("red", "green"),                                 
     labels =       c("Number of Stones"))+
  facet_wrap( ~ cut) +
  theme(axis.text.y = element_text(colour = "red")) +
  theme(panel.background = element_rect(fill = NA),
       panel.grid.major = element_blank(),
       panel.grid.minor = element_blank(),
       panel.border = element_rect(fill = NA, colour = "grey50"),
       legend.position = "bottom")


# Get the ggplot grobs
xx <- ggplot_build(p1)
g1 <- ggplot_gtable(xx)

yy <- ggplot_build(p2)
g2 <- ggplot_gtable(yy)

nrow = length(unique(xx$panel$layout$ROW))
ncol = length(unique(xx$panel$layout$COL))
npanel = length(xx$panel$layout$PANEL)

pp <- c(subset(g1$layout, grepl("panel", g1$layout$name), se = t:r))
g <- gtable_add_grob(g1, g2$grobs[grepl("panel", g1$layout$name)], 
                     pp$t, pp$l, pp$b, pp$l)

hinvert_title_grob <- function(grob){
  widths <- grob$widths
  grob$widths[1] <- widths[3]
  grob$widths[3] <- widths[1]
  grob$vp[[1]]$layout$widths[1] <- widths[3]
  grob$vp[[1]]$layout$widths[3] <- widths[1]

  grob$children[[1]]$hjust <- 1 - grob$children[[1]]$hjust 
  grob$children[[1]]$vjust <- 1 - grob$children[[1]]$vjust 
  grob$children[[1]]$x <- unit(1, "npc") - grob$children[[1]]$x
  grob
}

j = 1
k = 0

for(i in 1:npanel){
  if ((i %% ncol == 0) || (i == npanel)){
    k = k + 1
    index <- which(g2$layout$name == "axis_l-1")  # Which grob
    yaxis <- g2$grobs[[index]]                    # Extract the grob
    ticks <- yaxis$children[[2]]
    ticks$widths <- rev(ticks$widths)
    ticks$grobs <- rev(ticks$grobs)
    ticks$grobs[[1]]$x <- ticks$grobs[[1]]$x - unit(1, "npc")
    ticks$grobs[[2]] <- hinvert_title_grob(ticks$grobs[[2]])
    yaxis$children[[2]] <- ticks
    if (k == 1)#to ensure just once d secondary axisis printed 
      g <- gtable_add_cols(g,g2$widths[g2$layout[index,]$l],
              max(pp$r[j:i]))
      g <- gtable_add_grob(g,yaxis,max(pp$t[j:i]),max(pp$r[j:i])+1,
                 max(pp$b[j:i])
                     , max(pp$r[j:i]) + 1, clip = "off", name = "2ndaxis")
     j = i + 1
  }
}

# inserts the label for 2nd y-axis 
loc_1st_yaxis_label <- c(subset(g$layout, grepl("ylab", g$layout$name), se  
                       = t:r)) 
loc_2nd_yaxis_max_r <- c(subset(g$layout, grepl("2ndaxis", g$layout$name), 
                      se = t:r))
zz <- max(loc_2nd_yaxis_max_r$r)+1
loc_1st_yaxis_label$l <- zz
loc_1st_yaxis_label$r <- zz

index <- which(g2$layout$name == "ylab") 
ylab <- g2$grobs[[index]]                # Extract that grob
ylab <- hinvert_title_grob(ylab)  
ylab$children[[1]]$rot <- ylab$children[[1]]$rot + 180
g <- gtable_add_grob(g, ylab, loc_1st_yaxis_label$t, loc_1st_yaxis_label$l
                     , loc_1st_yaxis_label$b, loc_1st_yaxis_label$r
                     , clip = "off", name = "2ndylab")
grid.draw(g)

@Sandy这里是代码its output

唯一的麻烦是，在最后一行中，辅助y轴标签位于面板内。我试图解决这个问题但不能

Answer 1

您的gtable_add_cols()和gtable_add_grob()命令存在问题。我在下面添加了评论。

已更新至ggplot2 v2.2.0

library(ggplot2)
library(gtable)
library(grid)
library(data.table)
library(scales)

diamonds$cut <- sample(letters[1:4], nrow(diamonds), replace = TRUE)
dt.diamonds <- as.data.table(diamonds)
d1 <- dt.diamonds[,list(revenue = sum(price),
                        stones = length(price)),
                  by=c("clarity", "cut")]
setkey(d1, clarity, cut)

# The facet_wrap plots
p1 <- ggplot(d1, aes(x = clarity, y = revenue, fill = cut)) +
  geom_bar(stat = "identity") +
  labs(x = "clarity", y = "revenue") +
  facet_wrap( ~ cut, nrow = 2) +
  scale_y_continuous(labels = dollar, expand = c(0, 0)) + 
  theme(axis.text.x = element_text(angle = 90, hjust = 1),
        axis.text.y = element_text(colour = "#4B92DB"), 
        legend.position = "bottom")

p2 <- ggplot(d1, aes(x = clarity, y = stones, colour = "red")) +
  geom_point(size = 4) + 
  labs(x = "", y = "number of stones") + expand_limits(y = 0) +
  scale_y_continuous(labels = comma, expand = c(0, 0)) +
  scale_colour_manual(name = '', values = c("red", "green"), 
      labels =c("Number of Stones")) +
  facet_wrap( ~ cut, nrow = 2) +
  theme(axis.text.y = element_text(colour = "red")) +
  theme(panel.background = element_rect(fill = NA),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.border = element_rect(fill = NA, colour = "grey50"),
        legend.position = "bottom")



# Get the ggplot grobs
g1 <- ggplotGrob(p1)
g2 <- ggplotGrob(p2)


# Grab the panels from g2 and overlay them onto the panels of g1
pp <- c(subset(g1$layout, grepl("panel", g1$layout$name), select = t:r))
g <- gtable_add_grob(g1, g2$grobs[grepl("panel", g1$layout$name)], 
                     pp$t, pp$l, pp$b, pp$l)


# Function to invert labels
hinvert_title_grob <- function(grob){
widths <- grob$widths
grob$widths[1] <- widths[3]
grob$widths[3] <- widths[1]
grob$vp[[1]]$layout$widths[1] <- widths[3]
grob$vp[[1]]$layout$widths[3] <- widths[1]

grob$children[[1]]$hjust <- 1 - grob$children[[1]]$hjust 
grob$children[[1]]$vjust <- 1 - grob$children[[1]]$vjust 
grob$children[[1]]$x <- unit(1, "npc") - grob$children[[1]]$x
grob
}

 # Get the y label from g2, and invert it
 index <- which(g2$layout$name == "ylab-l") 
 ylab <- g2$grobs[[index]]                # Extract that grob
 ylab <- hinvert_title_grob(ylab) 


 # Put the y label into g, to the right of the right-most panel
 # Note: Only one column and one y label
 g <- gtable_add_cols(g, g2$widths[g2$layout[index, ]$l], pos = max(pp$r))

 g <-gtable_add_grob(g,ylab, t = min(pp$t), l = max(pp$r)+1, 
                             b = max(pp$b), r = max(pp$r)+1,
                   clip = "off", name = "ylab-r")


 # Get the y axis from g2, reverse the tick marks and the tick mark labels, 
 # and invert the tick mark labels 
 index <- which(g2$layout$name == "axis-l-1-1")  # Which grob
 yaxis <- g2$grobs[[index]]                    # Extract the grob

 ticks <- yaxis$children[[2]]
 ticks$widths <- rev(ticks$widths)
 ticks$grobs <- rev(ticks$grobs)

 plot_theme <- function(p) {
   plyr::defaults(p$theme, theme_get())
 }

 tml <- plot_theme(p1)$axis.ticks.length   # Tick mark length
 ticks$grobs[[1]]$x <- ticks$grobs[[1]]$x - unit(1, "npc") + tml

 ticks$grobs[[2]] <- hinvert_title_grob(ticks$grobs[[2]])
 yaxis$children[[2]] <- ticks


# Put the y axis into g, to the right of the right-most panel
# Note: Only one column, but two y axes - one for each row of the facet_wrap plot
 g <- gtable_add_cols(g, g2$widths[g2$layout[index, ]$l], pos = max(pp$r))

 nrows = length(unique(pp$t)) # Number of rows
 g <- gtable_add_grob(g, rep(list(yaxis), nrows), 
               t = unique(pp$t), l = max(pp$r)+1,
               b = unique(pp$b), r = max(pp$r)+1, 
               clip = "off", name = paste0("axis-r-", 1:nrows))



# Get the legends
leg1 <- g1$grobs[[which(g1$layout$name == "guide-box")]]
leg2 <- g2$grobs[[which(g2$layout$name == "guide-box")]]

# Combine the legends
g$grobs[[which(g$layout$name == "guide-box")]] <-
    gtable:::cbind_gtable(leg1, leg2, "first")

grid.newpage()
grid.draw(g)

这不是一个教程网站，这可能会引起其他SO用户的愤怒，但是评论太多了。

仅使用一个绘图面板绘制图形（即没有刻面），

library(ggplot2)

p <- ggplot(mtcars, aes(x = mpg, y = disp)) + geom_point()

获取ggplot grob。

g <- ggplotGrob(p)

探索情节grob：
1）gtable_show_layout()给出了情节的gtable布局图。中间的大空间是情节面板的位置。面板左侧和下方的列包含y轴和x轴。整个情节周围有一个边缘。索引给出了数组中每个单元格的位置。例如，请注意，面板位于第四列的第三行。

gtable_show_layout(g)  

2）布局数据框。 g$layout返回一个数据框，其中包含绘图中包含的grob的名称及其在gtable中的位置：t，l，b和r（代表顶部，左侧，右侧和底部）。例如，注意，面板位于t = 3，l = 4，b = 3，r = 4。这是从图中获得的相同面板位置。

 g$layout

3）布局图试图给出行和列的高度和宽度，但它们往往重叠。相反，请使用g$widths和g$heights。 1null宽度和高度是绘图面板的宽度和高度。请注意，1null是第3个高度，第4个宽度是3和4。

现在绘制一个facet_wrap和一个facet_grid图。

p1 <- ggplot(mtcars, aes(x = mpg, y = disp)) + geom_point() +
   facet_wrap(~ carb, nrow = 1)

p2 <- ggplot(mtcars, aes(x = mpg, y = disp)) + geom_point() +
   facet_grid(. ~ carb)

g1 <- ggplotGrob(p1)
g2 <- ggplotGrob(p2)

两个地块看起来相同，但他们的gtables不同。此外，组件凹槽的名称也不同。

通常可以方便地获得包含普通类型的grob的索引（即t，l，b和r）的布局数据帧的子集;说所有小组。

pp1 <- subset(g1$layout, grepl("panel", g1$layout$name), select = t:r)
pp2 <- subset(g2$layout, grepl("panel", g2$layout$name), select = t:r)

请注意，例如，所有面板都在第4行（pp1$t，pp2$t） pp1$r指的是包含绘图面板的列;
pp1$r + 1指的是面板右侧的列;
max(pp1$r)指的是包含面板的最右边的列;
max(pp1$r) + 1指的是包含面板的最右侧列右侧的列;
等等。

最后，绘制一个包含多行的facet_wrap图。

p3 <- ggplot(mtcars, aes(x = mpg, y = disp)) + geom_point() +
   facet_wrap(~ carb, nrow = 2)
g3 <- ggplotGrob(p3)

像以前一样探索图，但也是布局数据框的子集，以包含面板的索引。

pp3 <- subset(g3$layout, grepl("panel", g3$layout$name), select = t:r)

正如您所料，pp3告诉您，绘图面板位于三列（4,7和10）和两行（4和8）中。

在向gtable添加行或列以及向gtable添加grob时使用这些索引。使用?gtable_add_rows和gtable_add_grob检查这些命令。

另外，了解一些grid，尤其是如何构建grob，以及使用单位（有些资源在SO r-grid标记中给出。