6

我正在尝试将常规图表(在单个图表中)ggplot与使用flextable.

考虑以下示例:

library(tidyverse)
library(patchwork)

mydf <- tibble(a = c(1,2,3,4,5,4),
               b = c(4,4,4,3,3,3))

p1 <- mydf %>% ggplot(aes(x = a, y = b, color = as.factor(b))) + geom_point()

p2 <- mydf %>% flextable::flextable()

p2好像

在此处输入图像描述

但不幸的是我不能将它与p1

> p1 + p2
Error: Don't know how to add p2 to a plot

我们能做什么?谢谢!

4

3 回答 3

7

您可以使用 fonctionflextable::as_raster从弹性表中获取栅格,然后将 with 添加annotation_custom到空的 ggplot 对象。

library(ggplot2)
library(flextable)
library(grid)
library(cowplot)
library(tidyverse)

mydf <- tibble(a = c(1,2,3,4,5,4),
               b = c(4,4,4,3,3,3))

p1 <- mydf %>% ggplot(aes(x = a, y = b, color = as.factor(b))) + geom_point()

ft_raster <- mydf %>% flextable::flextable() %>% 
  as_raster()

p2 <- ggplot() + 
  theme_void() + 
  annotation_custom(rasterGrob(ft_raster), xmin=-Inf, xmax=Inf, ymin=-Inf, ymax=Inf)

cowplot::plot_grid(p1, p2, nrow = 2, ncol = 1, rel_heights = c(4, 1) )

在此处输入图像描述

文档在这里:https ://davidgohel.github.io/flextable/articles/offcran/images.html

于 2020-02-22T08:08:13.507 回答
5

tableGrobgridExtra包装中也可以

library(tidyverse)
library(grid)
library(gridExtra)

mydf <- tibble(a = c(1,2,3,4,5,4),
               b = c(4,4,4,3,3,3))

p1 <- mydf %>% ggplot(aes(x = a, y = b, color = as.factor(b))) + geom_point()

mytheme <- gridExtra::ttheme_default(
  core = list(padding = unit(c(2.5, 2.5), "mm")))
tbl <- tableGrob(mydf, theme = mytheme, rows = NULL)

grid.arrange(p1,
             tbl,
             nrow = 2,
             as.table = TRUE,
             heights = c(4, 1))

reprex 包(v0.3.0)于 2020-02-21 创建

于 2020-02-22T05:03:44.513 回答
4

有以下两种方式

library(tidyverse)
library(ggpmisc)

mydf <- tibble(a = c(1,2,3,4,5,4),
               b = c(4,4,4,3,3,3))

p1 <- mydf %>% ggplot(aes(x = a, y = b, color = as.factor(b))) + geom_point()
p1 + annotate(geom = "table", x = 4.5, y = 3.5, label = list(mydf), 
           vjust = 1, hjust = 0)

在此处输入图像描述

p1 + geom_table_npc(data = mydf, label = list(mydf),npcx = 0.05, npcy = 0.90, hjust = 0, vjust = 1)

在此处输入图像描述

于 2020-02-22T05:00:00.370 回答