# multipanelfigure v2.1.2

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## Infrastructure to Assemble Multi-Panel Figures (from Grobs)

Tools to create a layout for figures made of multiple panels, and to fill the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap' plots, grobs, as well as content from all image formats supported by 'ImageMagick' (accessed through 'magick').

# multipanelfigure

Tools to create a layout for figures made of multiple panels, and to fill the panels with base, lattice and ggplot2 plots, grobs, and bitmap images as supported by ImageMagick (through the package magick).

## Installation

To install the package, you first need the devtools package.

install.packages("devtools")


Then you can install the multipanelfigure package using

devtools::install_bitbucket("graumannlabtools/multipanelfigure")


## Specifying a layout

Layouts are matrices of panels that contains plots, grobs or images. Create them with the multi_panel_figure function.

You can specify the total width and height of the figure (the default unit is millimetres):

library(multipanelfigure)
figure1 <- multi_panel_figure(
width = 180, height = 180,
columns = 3, rows = 3)


Or you can specify widths and heights of individual columns and rows.

figure2 <- multi_panel_figure(
width = c(20, 30, 40),
height = c(10, 20, 30))


When no panels are filled, printing the figure (by typing its name) displays the layout. Notice that by default a 5 mm spacer is included between rows and between columns. (This can be adjusted using multi_panel_figure's row_spacing and column_spacing arguments.)

figure1


Plots and images are added into the figure by filling panels using fill_panel.

lattice plot variables are added directly. The syntax is cleanest using magrittr pipes:

library(lattice)
library(magrittr)
a_lattice_plot <- xyplot(height ~ age, Loblolly)
figure1 %<>% fill_panel(a_lattice_plot)


ggplot2 plots variables are also added directly. In this case, to put it in the second column from the left (top row), specify the left_panel argument.

library(ggplot2)
library(magrittr)
a_ggplot <- ggplot(Loblolly, aes(age, height)) + geom_point()
figure1 %<>% fill_panel(a_ggplot, column = 2)


Plots created using base graphics must be converted to grid-based plots and captured using capture_base_plot.

a_base_plot <- capture_base_plot(
with(Loblolly, plot(age, height))
)
figure1 %<>% fill_panel(a_base_plot, column = 3)


grid grobs are also added directly. Plots and images can be made to span multiple panels by defining starting and stopping columns using column and/or starting and stopping rows using row. The following example adds the grob to the second and third rows from the top (first column).

library(grid)
a_grob <- linesGrob(arrow = arrow())
figure1 %<>% fill_panel(a_grob, row = 2:3)


Bitmap images (such as JPEG, PNG, and TIFF images) are added via a string giving their location: either a path to a location on disk, or a URL.

figure1 %<>% fill_panel(
column = 2:3,
row = 2:3)


Once panels have been added to the figure, printing it displays the figure.

figure1


## Functions in multipanelfigure

 Name Description multipanelfigure-deprecated Superceded objects in multipanelfigure images Images assert_is_multipanelfigure Check that the input is a multipanelfigure billing2016_suppfig4e Mass spectrometry intensities by stem cell type and organelle billing2016_suppfig4g Mass spectrometry intensities by stem cell type print.multipanelfigure Print a multi-panel figure fill_panel fill_panel multi_panel_figure multi_panel_figure save_multi_panel_figure save_multi_panel_figure %<>% magrittr compound assignment pipe operator grob_dimensions Convenient Access to grob Dimensions %>% magrittr forward-pipe operator capture_base_plot Capture a base plot No Results!