I am trying to combine (in a single chart) a regular ggplot chart with a table obtained with a flextable.
Consider the following example:
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 looks like
but unfortunately I cannot combine it with p1
> p1 + p2
Error: Don't know how to add p2 to a plot
What can I do?
You can use the function flextable::as_raster to get a raster from a flextable and then add with annotation_custom to an empty ggplot object.
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) )
Documentation is here: https://davidgohel.github.io/flextable/articles/offcran/images.html
p1 + p2 or with cowplot cowplot::plot_grid(p1, p2, nrow = 1, ncol = 2). Is that what you want?install_phantomjs() which is deprecated and hard to install at work. Do you see any other working alternatives?tableGrob from the gridExtra package works too
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))
Created on 2020-02-21 by the reprex package (v0.3.0)
You can use the following two ways:
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)
p1 + geom_table_npc(data = mydf, label = list(mydf),npcx = 0.05, npcy = 0.90, hjust = 0, vjust = 1)
