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gtable is a layout engine built on top of the grid package. It is used to abstract away the creation of (potentially nested) grids of viewports into which graphic objects can be placed. gtable makes it easy to ensure alignment of graphic elements and piecemeal compositions of complex graphics. gtable is the layout engine powering ggplot2 and is thus used extensively by many plotting functions in R without being called directly.

Installation

You can install the released version of gtable from CRAN with:

or use the remotes package to install the development version from GitHub

# install.packages("pak")
pak::pak("r-lib/gtable")

Example

ggplot2 uses gtable for laying out plots, and it is possible to access the gtable representation of a plot for inspection and modification:

library(gtable)
library(ggplot2)

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

p_table <- ggplotGrob(p)

p_table
#> TableGrob (16 x 13) "layout": 22 grobs
#>     z         cells             name                                         grob
#> 1   0 ( 1-16, 1-13)       background               rect[plot.background..rect.38]
#> 2   5 ( 8- 8, 6- 6)           spacer                               zeroGrob[NULL]
#> 3   7 ( 9- 9, 6- 6)           axis-l           absoluteGrob[GRID.absoluteGrob.26]
#> 4   3 (10-10, 6- 6)           spacer                               zeroGrob[NULL]
#> 5   6 ( 8- 8, 7- 7)           axis-t                               zeroGrob[NULL]
#> 6   1 ( 9- 9, 7- 7)            panel                      gTree[panel-1.gTree.17]
#> 7   9 (10-10, 7- 7)           axis-b           absoluteGrob[GRID.absoluteGrob.22]
#> 8   4 ( 8- 8, 8- 8)           spacer                               zeroGrob[NULL]
#> 9   8 ( 9- 9, 8- 8)           axis-r                               zeroGrob[NULL]
#> 10  2 (10-10, 8- 8)           spacer                               zeroGrob[NULL]
#> 11 10 ( 7- 7, 7- 7)           xlab-t                               zeroGrob[NULL]
#> 12 11 (11-11, 7- 7)           xlab-b titleGrob[axis.title.x.bottom..titleGrob.30]
#> 13 12 ( 9- 9, 5- 5)           ylab-l   titleGrob[axis.title.y.left..titleGrob.33]
#> 14 13 ( 9- 9, 9- 9)           ylab-r                               zeroGrob[NULL]
#> 15 14 ( 9- 9,11-11)  guide-box-right                               zeroGrob[NULL]
#> 16 15 ( 9- 9, 3- 3)   guide-box-left                               zeroGrob[NULL]
#> 17 16 (13-13, 7- 7) guide-box-bottom                               zeroGrob[NULL]
#> 18 17 ( 5- 5, 7- 7)    guide-box-top                               zeroGrob[NULL]
#> 19 18 ( 9- 9, 7- 7) guide-box-inside                               zeroGrob[NULL]
#> 20 19 ( 4- 4, 7- 7)         subtitle         zeroGrob[plot.subtitle..zeroGrob.35]
#> 21 20 ( 3- 3, 7- 7)            title            zeroGrob[plot.title..zeroGrob.34]
#> 22 21 (14-14, 7- 7)          caption          zeroGrob[plot.caption..zeroGrob.36]

A gtable object is a collection of graphic elements along with their placement in the grid and the dimensions of the grid itself. Graphic elements can span multiple rows and columns in the grid and be gtables themselves allowing for very complex automatically arranging layouts.

A gtable object is itself a grob, and can thus be drawn using standard functions from the grid package:

library(grid)
grid.draw(p_table) # alternative use plot(p_table)

A scatterplot of miles per gallon against displacement based on the mtcars dataset. The plot is rendered by first converting the ggplot object to a gtable and then plotting the gtable

While most people will interact with gtable through ggplot2, it is possible to build a plot from the ground up.

# Construct some graphical elements using grid
points <- pointsGrob(
  x = runif(10),
  y = runif(10),
  size = unit(runif(10), 'cm')
)
xaxis <- xaxisGrob(at = c(0, 0.25, 0.5, 0.75, 1))
yaxis <- yaxisGrob(at = c(0, 0.25, 0.5, 0.75, 1))

# Setup the gtable layout
plot <- gtable(
  widths = unit(c(1.5, 0, 1, 0.5), c('cm', 'cm', 'null', 'cm')),
  heights = unit(c(0.5, 1, 0, 1), c('cm', 'null', 'cm', 'cm'))
)

# Add the grobs
plot <- gtable_add_grob(
  plot,
  grobs = list(points, xaxis, yaxis),
  t = c(2, 3, 2),
  l = c(3, 3, 2),
  clip = 'off'
)

# Plot
grid.draw(plot)

A scatterplot of random numbers. The scatterplot is created by combining separate grobs created with grid using gtable.