% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/plot_layout.R
\name{plot_layout}
\alias{plot_layout}
\title{Define the grid to compose plots in}
\usage{
plot_layout(
  ncol = NULL,
  nrow = NULL,
  byrow = NULL,
  widths = NULL,
  heights = NULL,
  guides = NULL,
  tag_level = NULL,
  design = NULL
)
}
\arguments{
\item{ncol, nrow}{The dimensions of the grid to create - if both are \code{NULL} it
will use the same logic as \link[ggplot2:facet_wrap]{facet_wrap()} to set the
dimensions}

\item{byrow}{Analogous to \code{byrow} in \link[base:matrix]{matrix()}. If \code{FALSE} the
plots will be filled in in column-major order}

\item{widths, heights}{The relative widths and heights of each column and row
in the grid. Will get repeated to match the dimensions of the grid.}

\item{guides}{A string specifying how guides should be treated in the layout.
\code{'collect'} will collect guides below to the given nesting level, removing
duplicates. \code{'keep'} will stop collection at this level and let guides be
placed alongside their plot. \code{auto} will allow guides to be collected if a
upper level tries, but place them alongside the plot if not.  If you modify
default guide "position" with \link[ggplot2:theme]{theme(legend.position=...)}
while also collecting guides you must apply that change to the overall
patchwork (see example).}

\item{tag_level}{A string (\code{'keep'} or \code{'new'}) to indicate how
auto-tagging should behave. See \code{\link[=plot_annotation]{plot_annotation()}}.}

\item{design}{Specification of the location of areas in the layout. Can either
be specified as a text string or by concatenating calls to \code{\link[=area]{area()}} together.
See the examples for further information on use.}
}
\value{
A \code{plot_layout} object to be added to a \code{ggassmble} object
}
\description{
To control how different plots are laid out, you need to add a
layout specification. If you are nesting grids, the layout is scoped to the
current nesting level.
}
\examples{
library(ggplot2)

p1 <- ggplot(mtcars) + geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) + geom_boxplot(aes(gear, disp, group = gear))
p3 <- ggplot(mtcars) + geom_bar(aes(gear)) + facet_wrap(~cyl)
p4 <- ggplot(mtcars) + geom_bar(aes(carb))
p5 <- ggplot(mtcars) + geom_violin(aes(cyl, mpg, group = cyl))

# The plots are layed out automatically by default
p1 + p2 + p3 + p4 + p5

# Use byrow to change how the grid is filled out
p1 + p2 + p3 + p4 + p5 + plot_layout(byrow = FALSE)

# Change the grid dimensions
p1 + p2 + p3 + p4 + p5 + plot_layout(ncol = 2, widths = c(1, 2))

# Define layout at different nesting levels
p1 +
  p2 +
  (p3 +
     p4 +
     plot_layout(ncol = 1)
  ) +
  p5 +
  plot_layout(widths = c(2, 1))

# Complex layouts can be created with the `design` argument
design <- c(
  area(1, 1, 2),
  area(1, 2, 1, 3),
  area(2, 3, 3),
  area(3, 1, 3, 2),
  area(2, 2)
)
p1 + p2 + p3 + p4 + p5 + plot_layout(design = design)

\donttest{
# The same can be specified as a character string:
design <- "
  122
  153
  443
"
p1 + p2 + p3 + p4 + p5 + plot_layout(design = design)

# When using strings to define the design `#` can be used to denote empty
# areas
design <- "
  1##
  123
  ##3
"
p1 + p2 + p3 + plot_layout(design = design)
}
# Use guides="collect" to remove duplicate guides
p6 <- ggplot(mtcars) + geom_point(aes(mpg, disp, color=cyl))
p7 <- ggplot(mtcars) + geom_point(aes(mpg, hp, color=cyl))
p6 + p7 + plot_layout(guides='collect')

# Guide position must be applied to entire patchwork
p6 + p7 + plot_layout(guides='collect') &
  theme(legend.position='bottom')
}
