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Type:

Package

Title:

Rasterize Layers for 'ggplot2'

Version:

1.0.2

Description:

Rasterize only specific layers of a 'ggplot2' plot while simultaneously keeping all labels and text in vector format. This allows users to keep plots within the reasonable size limit without loosing vector properties of the scale-sensitive information.

License:

MIT + file LICENSE

Encoding:

UTF-8

Imports:

ggplot2 (≥ 2.1.0), Cairo (≥ 1.5.9), ggbeeswarm, grid, png, ragg

Depends:

R (≥ 3.2.2)

RoxygenNote:

7.2.3

Suggests:

knitr, maps, rmarkdown, sf

VignetteBuilder:

knitr

URL:

https://github.com/VPetukhov/ggrastr

BugReports:

https://github.com/VPetukhov/ggrastr/issues

NeedsCompilation:

Author:

Viktor Petukhov [aut, cph], Teun van den Brand [aut], Evan Biederstedt [cre, aut]

Maintainer:

Evan Biederstedt <evan.biederstedt@gmail.com>

Packaged:

2023-06-01 05:31:06 UTC; evanbiederstedt

Repository:

CRAN

Date/Publication:

2023-06-01 06:10:02 UTC

This geom is similar to `geom_beeswarm`, but creates a raster layer

Description

This geom is similar to geom_beeswarm, but creates a raster layer

Usage

geom_beeswarm_rast(
  ...,
  priority = c("ascending", "descending", "density", "random", "none"),
  cex = 1,
  groupOnX = NULL,
  dodge.width = 0,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

Other arguments passed on to layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like colour = "red" or size = 3. They may also be parameters to the paired geom/stat.

priority

string Method used to perform point layout (see ggbeeswarm::position_beeswarm).

cex

numeric Scaling for adjusting point spacing (see ggbeeswarm::position_beeswarm)

groupOnX

boolean Whether jitter be added to the x axis (default=NULL). if TRUE then jitter is added to the x axis and if FALSE jitter is added to the y axis. (The default NULL causes the function to guess which axis is the categorical axis based on the number of unique entries in each). Refer to see ggbeeswarm::position_beeswarm for more details.

dodge.width

numeric Amount by which points from different aesthetic groups will be dodged (default=0). This requires that one of the aesthetics is a factor. Refer to see ggbeeswarm::position_beeswarm for more details.

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

numeric Scaling factor to modify the raster object size (default=1). The parameter 'scale=1' results in an object size that is unchanged, 'scale'>1 increase the size, and 'scale'<1 decreases the size. These parameters are passed to 'height' and 'width' of grid::grid.raster(). Please refer to 'rasterise()' and 'grid::grid.raster()' for more details.

Value

geom_beeswarm plot with rasterized layer

Examples

library(ggplot2)
library(ggrastr)

ggplot(mtcars) + geom_beeswarm_rast(aes(x = factor(cyl), y = mpg), raster.dpi = 600, cex = 1.5)

This geom is similar to `geom_boxplot`, but allows to jitter outlier points and to raster points layer.

Description

This geom is similar to geom_boxplot, but allows to jitter outlier points and to raster points layer.

Usage

geom_boxplot_jitter(
  mapping = NULL,
  data = NULL,
  dev = "cairo",
  stat = "boxplot",
  position = "dodge",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  ...,
  outlier.jitter.width = NULL,
  outlier.jitter.height = 0,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  scale = 1
)

Arguments

mapping

Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

stat

string The statistical transformation to use on the data for this layer, either as a ggproto Geom subclass or as a string naming the stat stripped of the stat_ prefix (e.g. "count" rather than "stat_count"). Refer to ggplot2::layer.

position

Position adjustment, either as a string naming the adjustment (e.g. "jitter" to use position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().

...

outlier.jitter.width

numeric Amount of horizontal jitter (default=NULL). The jitter is added in both positive and negative directions, so the total spread is twice the value specified here. If NULL, no jitter performed.

outlier.jitter.height

numeric Amount of horizontal jitter (default=0). The jitter is added in both positive and negative directions, so the total spread is twice the value specified here.

raster.dpi

integer Resolution of the rastered image (default=300). Ignored if raster == FALSE.

scale

Value

geom_boxplot plot with rasterized layer

Aesthetics

geom_boxplot() understands the following aesthetics (required aesthetics are in bold):

x or y
lower or xlower
upper or xupper
middle or xmiddle
ymin or xmin
ymax or xmax
alpha
colour
fill
group
linetype
linewidth
shape
size
weight

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

yvalues = rt(1000, df=3)
xvalues = as.factor(1:1000 %% 2)
ggplot() + geom_boxplot_jitter(aes(y=yvalues, x=xvalues), outlier.jitter.width = 0.1, raster = TRUE)

This geom is similar to `geom_jitter`, but creates a raster layer

Description

This geom is similar to geom_jitter, but creates a raster layer

Usage

geom_jitter_rast(
  ...,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

Value

geom_point_rast plot with rasterized layer

Aesthetics

geom_point() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group
shape
size
stroke

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

ggplot(mpg) + geom_jitter_rast(aes(x = factor(cyl), y = hwy), raster.dpi = 600)

This geom is similar to `geom_point`, but creates a raster layer

Description

This geom is similar to geom_point, but creates a raster layer

Usage

geom_point_rast(
  ...,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

Value

geom_point plot with rasterized layer

Aesthetics

geom_point() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group
shape
size
stroke

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

ggplot() + geom_point_rast(aes(x=rnorm(1000), y=rnorm(1000)), raster.dpi=600)

This geom is similar to `geom_quasirandom`, but creates a raster layer

Description

This geom is similar to geom_quasirandom, but creates a raster layer

Usage

geom_quasirandom_rast(
  ...,
  width = NULL,
  varwidth = FALSE,
  bandwidth = 0.5,
  nbins = NULL,
  method = "quasirandom",
  groupOnX = NULL,
  dodge.width = 0,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

width

the maximum amount of spread (default: 0.4)

varwidth

vary the width by the relative size of each group

bandwidth

the bandwidth adjustment to use when calculating density Smaller numbers (< 1) produce a tighter "fit". (default: 0.5)

nbins

the number of bins used when calculating density (has little effect with quasirandom/random distribution)

method

the method used for distributing points (quasirandom, pseudorandom, smiley, maxout, frowney, minout, tukey, tukeyDense). See vipor::offsetSingleGroup() for the details of each method.

groupOnX

No longer needed.

dodge.width

Amount by which points from different aesthetic groups will be dodged. This requires that one of the aesthetics is a factor.

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

Value

geom_quasirandom plot with rasterized layer

Aesthetics

geom_point() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group
shape
size
stroke

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

ggplot(mtcars) + geom_quasirandom_rast(aes(x = factor(cyl), y = mpg), raster.dpi = 600)

This geom is similar to `geom_tile`, but creates a raster layer

Description

This geom is similar to geom_tile, but creates a raster layer

Usage

geom_tile_rast(
  ...,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

Value

geom_tile plot with rasterized layer

Aesthetics

geom_tile() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group
height
linetype
linewidth
width

Note that geom_raster() ignores colour.

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

coords <- expand.grid(1:100, 1:100)
coords$Value <- 1 / apply(as.matrix(coords), 1, function(x) sum((x - c(50, 50))^2)^0.01)
ggplot(coords) + geom_tile_rast(aes(x=Var1, y=Var2, fill=Value))

This geom is similar to `geom_violin`, but creates a raster layer

Description

This geom is similar to geom_violin, but creates a raster layer

Usage

geom_violin_rast(
  ...,
  raster.dpi = getOption("ggrastr.default.dpi", 300),
  dev = "cairo",
  scale = 1
)

Arguments

...

raster.dpi

integer Resolution of the rastered image in dots per inch (default=300).

dev

string Specifies the device used, which can be one of: "cairo", "ragg" or "ragg_png" (default="cairo").

scale

Value

geom_violin_rast plot with rasterized layer

Aesthetics

geom_violin() understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
fill
group
linetype
linewidth
weight

Learn more about setting these aesthetics in vignette("ggplot2-specs").

Examples

library(ggplot2)
library(ggrastr)

ggplot(mpg) + geom_violin_rast(aes(x = factor(cyl), y = hwy), raster.dpi = 600)

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Description

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Usage

rasterise(input, ...)

## S3 method for class 'Layer'
rasterise(input, ..., dpi = NULL, dev = "cairo", scale = 1)

## S3 method for class 'list'
rasterise(input, ..., dpi = NULL, dev = "cairo", scale = 1)

## S3 method for class 'ggplot'
rasterise(
  input,
  ...,
  layers = c("Point", "Tile"),
  dpi = NULL,
  dev = "cairo",
  scale = 1
)

Arguments

input

ggplot plot object to rasterize

...

ignored

dpi

integer Sets the desired resolution in dots per inch (default=NULL).

dev

string Specifies the device used, which can be one of: "cairo", "ragg", "ragg_png" or "cairo_png" (default="cairo").

scale

layers

list of layer types that should be rasterized

Details

The default dpi (NULL (i.e. let the device decide)) can conveniently be controlled by setting the option "ggrastr.default.dpi" (e.g. options("ggrastr.default.dpi" = 30) for drafting).

Value

A modified Layer object.

Author(s)

Teun van den Brand <t.vd.brand@nki.nl>

Examples

require(ggplot2)
# `rasterise()` is used to wrap layers
ggplot(pressure, aes(temperature, pressure)) +
  rasterise(geom_line())

# The `dpi` argument controls resolution
ggplot(faithful, aes(eruptions, waiting)) +
  rasterise(geom_point(), dpi = 5)

# The `dev` argument offers a few options for devices
require(ragg)
ggplot(diamonds, aes(carat, depth, z = price)) +
  rasterise(stat_summary_hex(), dev = "ragg")

# The `scale` argument allows you to render a 'big' plot in small window, or vice versa.
ggplot(faithful, aes(eruptions, waiting)) +
  rasterise(geom_point(), scale = 4)

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Description

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Usage

rasterize(input, ...)

Arguments

input

ggplot plot object to rasterize

...

ignored

Details

The default dpi (NULL (i.e. let the device decide)) can conveniently be controlled by setting the option "ggrastr.default.dpi" (e.g. options("ggrastr.default.dpi" = 30) for drafting).

Value

A modified Layer object.

Author(s)

Teun van den Brand <t.vd.brand@nki.nl>

Examples

require(ggplot2)
# `rasterise()` is used to wrap layers
ggplot(pressure, aes(temperature, pressure)) +
  rasterise(geom_line())

# The `dpi` argument controls resolution
ggplot(faithful, aes(eruptions, waiting)) +
  rasterise(geom_point(), dpi = 5)

# The `dev` argument offers a few options for devices
require(ragg)
ggplot(diamonds, aes(carat, depth, z = price)) +
  rasterise(stat_summary_hex(), dev = "ragg")

# The `scale` argument allows you to render a 'big' plot in small window, or vice versa.
ggplot(faithful, aes(eruptions, waiting)) +
  rasterise(geom_point(), scale = 4)

Pretty theme

Description

Pretty theme

Usage

theme_pdf(show.ticks = TRUE, legend.pos = NULL)

Arguments

show.ticks

boolean Whether to show x- and y-ticks (default=TRUE).

legend.pos

Vector with x and y position of the legend (default=NULL).

Value

ggplot2 with plot ticks and positioned legend

Examples

library(ggplot2)
library(ggrastr)

data = rnorm(100)
colors = (1:100/100)
ggplot() + geom_point(aes(x=data, y=data, color=colors)) + theme_pdf(FALSE, legend.pos=c(1, 1))

This geom is similar to geom_beeswarm, but creates a raster layer

Description

Usage

Arguments

Value

Examples

This geom is similar to geom_boxplot, but allows to jitter outlier points and to raster points layer.

Description

Usage

Arguments

Value

Aesthetics

Examples

This geom is similar to geom_jitter, but creates a raster layer

Description

Usage

Arguments

Value

Aesthetics

Examples

This geom is similar to geom_point, but creates a raster layer

Description

Usage

Arguments

Value

Aesthetics

Examples

This geom is similar to geom_quasirandom, but creates a raster layer

Description

Usage

Arguments

Value

Aesthetics

Examples

This geom is similar to geom_tile, but creates a raster layer

Description

Usage

Arguments

Value

Aesthetics

Examples

This geom is similar to geom_violin, but creates a raster layer

Description

Usage

Arguments

Value

Aesthetics

Examples

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Description

Usage

Arguments

Details

Value

Author(s)

Examples

Rasterise ggplot layers Takes a ggplot object or a layer as input and renders their graphical output as a raster.

Description

Usage

Arguments

Details

Value

Author(s)

Examples

Pretty theme

Description

Usage

Arguments

Value

Examples

This geom is similar to `geom_beeswarm`, but creates a raster layer

This geom is similar to `geom_boxplot`, but allows to jitter outlier points and to raster points layer.

This geom is similar to `geom_jitter`, but creates a raster layer

This geom is similar to `geom_point`, but creates a raster layer

This geom is similar to `geom_quasirandom`, but creates a raster layer

This geom is similar to `geom_tile`, but creates a raster layer

This geom is similar to `geom_violin`, but creates a raster layer