Tables, plotted as ggplot objects

1 Load packages

library(tidyverse)  # data wrangling
library(gridExtra)
library(grid)
library(gt)

2 Show case 1: grid.table

d <- head(iris[,1:3])
grid.table(d)

grid.table does the job nicely.

Just plotting give a somewhat too raw object:

plot(tableGrob(d))

3 Show case 2: tableGrob

The following R code is taken from this source:

GGP <- ggplot(dat = iris, aes( x= Sepal.Width, y = Sepal.Length, colour = Species)) + geom_point() 

tab <- 
  iris %>% 
  group_by(Species) %>% 
  summarise(n = n(), Mean = mean(Sepal.Width), SD = sd(Sepal.Width))

grid.arrange(GGP,tableGrob(tab))

4 Show case 3: Reduce whitespace

Let’s get rid of white space.

x <- data.frame(a=1, b= 2)
ss <- tableGrob(x)

   #Make a scatterplot of your data
k <- ggplot(x,aes(x=x$"Value 1",y=x$"Value 2")) + 
   geom_point()

   #Arrange them as you want with grid.arrange
grid.arrange(ss)

mytheme <- gridExtra::ttheme_default(
             core = list(padding=unit(c(1, 1), "mm"))
           )
mytable <- tableGrob(mtcars, theme = mytheme)
grid.arrange(mytable)

5 Show case 4: ggpubr

The package ggpubr offers some nice capabilities for plotting tables as ggplot objects:

library(ggpubr)
ggpubr::ggtexttable(head(mtcars), rows = NULL)

6 Reproducibility

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