Question

我有6个图，我想以两步的方式整齐地对齐（见图）。最好，我想添加漂亮的箭头。

有什么想法吗？

UPD。当我的问题开始收集负面反馈时，我想澄清一下，我已经检查了所有（部分）相关的问题，并没有发现如何在“画布”上自由定位ggplots。而且，我想不出用一种方法在之间绘制箭头。我不是要求现成的解决方案。请指出方法。

Answer 1

这是尝试您想要的布局。它需要手动进行一些格式化，但您可以通过利用绘图布局中内置的坐标系来自动化大部分格式。此外，您可能会发现grid.curve比grid.bezier（我使用过的）更好，因为箭头曲线的形状完全符合您的要求。

我完全了解grid是危险的，所以我对任何改进建议感兴趣。无论如何，这里... ...

加载我们需要的软件包，创建一些实用程序grid对象，并创建一个布局图：

library(ggplot2)
library(gridExtra)

# Empty grob for spacing
#b = rectGrob(gp=gpar(fill="white", col="white"))  
b = nullGrob() # per @baptiste's comment, use nullGrob() instead of rectGrob()

# grid.bezier with a few hard-coded settings
mygb = function(x,y) {
  grid.bezier(x=x, y=y, gp=gpar(fill="black"), 
              arrow=arrow(type="closed", length=unit(2,"mm")))
}

# Create a plot to arrange
p = ggplot(mtcars, aes(wt, mpg)) +
  geom_point()

创建主要情节安排。使用我们在上面创建的空grob b来区分图：

grid.arrange(arrangeGrob(p, b, p, p, heights=c(0.3,0.1,0.3,0.3)),
             b,
             arrangeGrob(b, p, p, b, p, heights=c(0.07,0.3, 0.3, 0.03, 0.3)),
             ncol=3, widths=c(0.45,0.1,0.45))

添加箭头：

# Switch to viewport for first set of arrows
vp = viewport(x = 0.5, y=.75, width=0.09, height=0.4)
pushViewport(vp)

#grid.rect(gp=gpar(fill="black", alpha=0.1)) # Use this to see where your viewport is located on the full graph layout

# Add top set of arrows
mygb(x=c(0,0.8,0.8,1), y=c(1,0.8,0.6,0.6))
mygb(x=c(0,0.6,0.6,1), y=c(1,0.4,0,0))

# Up to "main" viewport (the "full" canvas of the main layout)
popViewport()

# New viewport for lower set of arrows
vp = viewport(x = 0.6, y=0.38, width=0.15, height=0.3, just=c("right","top"))
pushViewport(vp)

#grid.rect(gp=gpar(fill="black", alpha=0.1))  # Use this to see where your viewport is located on the full graph layout

# Add bottom set of arrows
mygb(x=c(1,0.8,0.8,0), y=c(1,0.9,0.9,0.9))
mygb(x=c(1,0.7,0.4,0), y=c(1,0.8,0.4,0.4))

这是由此产生的情节：

Answer 2

可能在ggplot使用annotation_custom这里是一种更方便的方法。首先，我们生成样本图。

require(ggplot2)
require(gridExtra)
require(bezier)

# generate sample plots
set.seed(17)
invisible(
  sapply(paste0("gg", 1:6), function(ggname) {
    assign(ggname, ggplotGrob(
      ggplot(data.frame(x = rnorm(10), y = rnorm(10))) +
        geom_path(aes(x,y), size = 1, 
                  color = colors()[sample(1:length(colors()), 1)]) +
        theme_bw()), 
           envir = as.environment(1)) })
)

之后我们可以在更大的ggplot内绘制它们。

# necessary plot
ggplot(data.frame(a=1)) + xlim(1, 20) + ylim(1, 32) +
  annotation_custom(gg1, xmin = 1, xmax = 9, ymin = 23, ymax = 31) +
  annotation_custom(gg2, xmin = 11, xmax = 19, ymin = 21, ymax = 29) +
  annotation_custom(gg3, xmin = 11, xmax = 19, ymin = 12, ymax = 20) +
  annotation_custom(gg4, xmin = 1, xmax = 9, ymin = 10, ymax = 18) +
  annotation_custom(gg5, xmin = 1, xmax = 9, ymin = 1, ymax = 9) +
  annotation_custom(gg6, xmin = 11, xmax = 19, ymin = 1, ymax = 9) +
  geom_path(data = as.data.frame(bezier(t = 0:100/100, p = list(x = c(9, 10, 10, 11), y = c(27, 27, 25, 25)))),
            aes(x = V1, y = V2), size = 1, arrow = arrow(length = unit(.01, "npc"), type = "closed")) +
  geom_path(data = as.data.frame(bezier(t = 0:100/100, p = list(x = c(9, 10, 10, 11), y = c(27, 27, 18, 18)))),
            aes(x = V1, y = V2), size = 1, arrow = arrow(length = unit(.01, "npc"), type = "closed")) +
  geom_path(data = as.data.frame(bezier(t = 0:100/100, p = list(x = c(15, 15, 12, 9), y = c(12, 11, 11, 11)))),
            aes(x = V1, y = V2), size = 1, arrow = arrow(length = unit(.01, "npc"), type = "closed")) +
  geom_path(data = as.data.frame(bezier(t = 0:100/100, p = list(x = c(15, 15, 12, 9), y = c(12, 11, 11, 9)))),
            aes(x = V1, y = V2), size = 1, arrow = arrow(length = unit(.01, "npc"), type = "closed")) +
  geom_path(data = as.data.frame(bezier(t = 0:100/100, p = list(x = c(15, 15, 12, 12), y = c(12, 10.5, 10.5, 9)))),
            aes(x = V1, y = V2), size = 1, arrow = arrow(length = unit(.01, "npc"), type = "closed")) +
  theme(rect = element_blank(),
        line = element_blank(),
        text = element_blank(),
        plot.margin = unit(c(0,0,0,0), "mm"))

我们使用bezier包中的bezier函数生成geom_path的坐标。也许应该寻找关于贝塞尔曲线及其控制点的一些额外信息，以使图之间的连接看起来更漂亮。现在得到的情节如下。

Answer 3

非常感谢你的提示，特别是@ eipi10实际实现它们 - 答案很棒。我找到了一个我希望分享的原生ggplot解决方案。

UPD 当我输入这个答案时，@ inscaven以基本相同的想法发布了他的回答。 bezier包可以更自由地创建整齐的弯曲箭头。

`ggplot2::annotation_custom`

简单的解决方案是使用ggplot＆＃39; annotation_custom将6个地块放在＆＃34;画布＆＃34; ggplot。

脚本

第1步。加载所需的包并创建6平方ggplots的列表。我最初需要安排6张地图，因此，我会相应地触发theme参数。

library(ggplot2)
library(ggthemes)
library(gridExtra)
library(dplyr)

p <- ggplot(mtcars, aes(mpg,wt))+
        geom_point()+
        theme_map()+
        theme(aspect.ratio=1,
              panel.border=element_rect(color = 'black',size=.5,fill = NA))+
        scale_x_continuous(expand=c(0,0)) +
        scale_y_continuous(expand=c(0,0)) +
        labs(x = NULL, y = NULL)

plots <- list(p,p,p,p,p,p)

第2步。我为画布图创建了一个数据框。我敢肯定，有更好的方法。我们的想法是获得一张像A4纸一样的30x20画布。

df <- data.frame(x=factor(sample(1:21,1000,replace = T)),
                 y=factor(sample(1:31,1000,replace = T)))

第3步。绘制画布并将方形图放在上面。

canvas <- ggplot(df,aes(x=x,y=y))+

        annotation_custom(ggplotGrob(plots[[1]]),
                          xmin = 1,xmax = 9,ymin = 23,ymax = 31)+

        annotation_custom(ggplotGrob(plots[[2]]),
                          xmin = 13,xmax = 21,ymin = 21,ymax = 29)+
        annotation_custom(ggplotGrob(plots[[3]]),
                          xmin = 13,xmax = 21,ymin = 12,ymax = 20)+

        annotation_custom(ggplotGrob(plots[[4]]),
                          xmin = 1,xmax = 9,ymin = 10,ymax = 18)+
        annotation_custom(ggplotGrob(plots[[5]]),
                          xmin = 1,xmax = 9,ymin = 1,ymax = 9)+
        annotation_custom(ggplotGrob(plots[[6]]),
                          xmin = 13,xmax = 21,ymin = 1,ymax = 9)+

        coord_fixed()+
        scale_x_discrete(expand = c(0, 0)) +
        scale_y_discrete(expand = c(0, 0)) +
        theme_bw()

        theme_map()+
        theme(panel.border=element_rect(color = 'black',size=.5,fill = NA))+
        labs(x = NULL, y = NULL)

第4步。现在我们需要添加箭头。首先，带箭头的数据框＆＃39;坐标是必需的。

df.arrows <- data.frame(id=1:5,
                        x=c(9,9,13,13,13),
                        y=c(23,23,12,12,12),
                        xend=c(13,13,9,9,13),
                        yend=c(22,19,11,8,8))

第5步。最后，绘制箭头。

gg <- canvas + geom_curve(data = df.arrows %>% filter(id==1),
                    aes(x=x,y=y,xend=xend,yend=yend),
                    curvature = 0.1, 
                    arrow = arrow(type="closed",length = unit(0.25,"cm"))) +
        geom_curve(data = df.arrows %>% filter(id==2),
                   aes(x=x,y=y,xend=xend,yend=yend),
                   curvature = -0.1, 
                   arrow = arrow(type="closed",length = unit(0.25,"cm"))) +
        geom_curve(data = df.arrows %>% filter(id==3),
                   aes(x=x,y=y,xend=xend,yend=yend),
                   curvature = -0.15, 
                   arrow = arrow(type="closed",length = unit(0.25,"cm"))) +
        geom_curve(data = df.arrows %>% filter(id==4),
                   aes(x=x,y=y,xend=xend,yend=yend),
                   curvature = 0, 
                   arrow = arrow(type="closed",length = unit(0.25,"cm"))) +
        geom_curve(data = df.arrows %>% filter(id==5),
                   aes(x=x,y=y,xend=xend,yend=yend),
                   curvature = 0.3, 
                   arrow = arrow(type="closed",length = unit(0.25,"cm")))

结果

ggsave('test.png',gg,width=8,height=12)

将不同间距的多个图对齐，并在它们之间添加箭头

3 个答案:

`ggplot2::annotation_custom`

脚本

结果