plots {see}

Multiple plots side by side

Description

A wrapper around patchwork to plot multiple figures side by side on the same page.

Usage

plots(
  ...,
  n_rows = NULL,
  n_columns = NULL,
  guides = NULL,
  tags = FALSE,
  tag_prefix = NULL,
  tag_suffix = NULL,
  tag_sep = NULL,
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  theme = NULL
)

Arguments

...

Multiple ggplots or a list containing ggplot objects

n_rows

Number of rows to align plots.

n_columns

Number of columns to align plots.

guides

A string specifying how guides should be treated in the layout. 'collect' will collect shared guides across plots, removing duplicates. 'keep' will keep guides alongside their plot. 'auto' will inherit from a higher patchwork level (if any). See patchwork::plot_layout() for details.

tags

Add tags to your subfigures. Can be NULL to omit (default) or a character vector containing tags for each plot. Automatic tags can also be generated with '1' for Arabic numerals, 'A' for uppercase Latin letters, 'a' for lowercase Latin letters, 'I' for uppercase Roman numerals, and 'i' for lowercase Roman numerals. For backwards compatibility, can also be FALSE (equivalent to NULL), NA (equivalent to NULL), or TRUE (equivalent to 'A').

tag_prefix, tag_suffix

Text strings that should appear before or after the tag.

tag_sep

Text string giving the separator to use between different tag levels.

title, subtitle, caption

Text strings to use for the various plot annotations to add to the composed patchwork.

theme

A ggplot theme specification to use for the plot. Only elements related to titles, caption, and tags, as well as plot margin and background, are used.

Details

See the patchwork documentation for more advanced control of plot layouts.

Examples

library(ggplot2)
library(see)

p1 <- ggplot(mtcars, aes(x = disp, y = mpg)) +
  geom_point()
p2 <- ggplot(mtcars, aes(x = mpg)) +
  geom_density()
p3 <- ggplot(mtcars, aes(x = factor(cyl))) +
  geom_bar() +
  scale_x_discrete("cyl")

plots(p1, p2)
plots(p1, p2, n_columns = 2, tags = "A")
plots(
  p1, p2, p3,
  n_columns = 1, tags = c("Fig. 1", "Fig. 2", "Fig. 3"),
  title = "The surprising truth about mtcars"
)