gggenomes (version 1.2.0)

axis_scalebar: Scalebars for gggenomes plots

Description

Add and customize genomic scalebars in gggenomes plots. axis_scalebar() configures a scalebar along the plot axis, guide_scalebar() provides the underlying ggplot2 guide, theme_scalebar() controls its appearance, and geom_scalebar() draws a freely positioned scalebar inside the gggenomes panel.

Usage

axis_scalebar(
  length = 0.25,
  label = NULL,
  just = c("right", "center", "left"),
  position = "bottom",
  label_position = c("above", "below"),
  linewidth = NULL,
  color = NULL,
  colour = NULL,
  linetype = NULL,
  lineend = NULL,
  text_size = NULL,
  text_color = NULL,
  text_colour = NULL,
  family = NULL,
  fontface = NULL,
  tick_height = NULL,
  label_offset = NULL
)
guide_scalebar(
  length = 0.25,
  just = c("right", "center", "left"),
  label = NULL,
  label_position = c("above", "below"),
  theme = NULL,
  order = 0,
  position = ggplot2::waiver()
)
theme_scalebar(
  linewidth = NULL,
  color = NULL,
  colour = NULL,
  linetype = NULL,
  lineend = NULL,
  text_size = NULL,
  text_color = NULL,
  text_colour = NULL,
  family = NULL,
  fontface = NULL,
  tick_height = NULL,
  label_offset = NULL
)
geom_scalebar(
  mapping = NULL,
  data = seqs(),
  length = 0.25,
  x = "right",
  y = "bottom",
  label = NULL,
  label_position = c("above", "below"),
  guide_x = "none",
  linewidth = NULL,
  color = NULL,
  colour = NULL,
  linetype = NULL,
  lineend = NULL,
  text_size = NULL,
  text_color = NULL,
  text_colour = NULL,
  family = NULL,
  fontface = NULL,
  tick_height = NULL,
  label_offset = NULL,
  stat = "identity",
  position = "identity",
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE,
  ...
)

Value

a list with a ggplot2 guide and a ggplot theme object

a ggplot2 guide object

a ggplot2 theme object

Arguments

length

Scalebar length. Values between 0 and 1 are interpreted as a target fraction of the displayed x range and rounded down to a nice 1/2/5 x 10^n value. Values >= 1 are interpreted as absolute x units.

label

Optional label. By default, the scalebar length in bp/kb/Mb/Gb; Can be text or a function, which is called with the scalebar length.

just

Horizontal placement within the scale: left, center, or right.

position

Where this guide should be drawn: one of top, bottom, left, or right.

label_position

Draw the label above or below the bar.

linewidth, color, colour, linetype, lineend

Scalebar line/tick styling.

text_size, text_color, text_colour, family, fontface

Scalebar label styling.

tick_height

Total physical length of each centered end tick. Numeric values are interpreted as points.

label_offset

Physical spacing between bar and label. Numeric values are interpreted as points.

theme

A theme object to style the guide individually or differently from the plot's theme settings. The theme argument in the guide partially overrides, and is combined with, the plot's theme.

order

A positive integer of length 1 that specifies the order of this guide among multiple guides. This controls in which order guides are merged if there are multiple guides for the same position. If 0 (default), the order is determined by a secret algorithm.

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

feat_layout: Uses first data frame stored in the feats track by default.

x, y

Scalebar coordinates. Values between 0 and 1 are interpreted as panel-relative, values >= 1 and < 0 as absolute coordinates. Also supports the keywords "right", "left", "bottom", "top" and "center". x specifies the scalebar center, y the scalebar baseline.

guide_x

Overwrite for the x scale guide. Defaults to "none" so the in-panel scalebar replaces the axis guide. Use NULL to leave the existing x guide untouched.

stat

The statistical transformation to use on the data for this layer. When using a geom_*() function to construct a layer, the stat argument can be used to override the default coupling between geoms and stats. The stat argument accepts the following:

• A Stat ggproto subclass, for example StatCount.

• A string naming the stat. To give the stat as a string, strip the function name of the stat_ prefix. For example, to use stat_count(), give the stat as "count".

• For more information and other ways to specify the stat, see the layer stat documentation.

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. To include legend keys for all levels, even when no data exists, use TRUE. If NA, all levels are shown in legend, but unobserved levels are omitted.

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. annotation_borders().

...

additional element specifications not part of base ggplot2. In general, these should also be defined in the element tree argument. Splicing a list is also supported.

Functions

• axis_scalebar(): customize the axis scalebar, conveniently wrapping guide_scalebar() and theme_scalebar()

• guide_scalebar(): create a scalebar guide

• theme_scalebar(): update the axis scalebar theme

• geom_scalebar(): draw a flexible scalebar inside the gggenomes panel

Details

theme_scalebar() styles the dedicated gggenomes scalebar theme elements used by guide_scalebar(). geom_scalebar() exposes matching styling arguments directly because ggplot2 3.5.x does not pass the plot theme to Geom$draw_panel().

Examples

# gggenomes' options for representing the x-axis scaling are:
library(patchwork) # to combine plots in same figure

# 1. The default `axis_scalebar` with short ...
p1 <- gggenomes(genes = emale_genes) |> pick(1:2) + # two short genomes
  geom_seq() + geom_gene()

# ... and with long sequences; some simple styling ...
s0 <- tibble::tibble(
  seq_id = c("a", "b", "b"),
  length = c(2000000, 500000, 1000000))
q0 <- gggenomes(seqs = s0) + geom_seq()
q1 <- q0 + axis_scalebar(length = 0.1, fontface = "bold")

# ... or more advanced styling, ...
p2 <- p1 + axis_scalebar(length = 3333, label_position = "below",
    linewidth = 0.6, tick_height = c(1,6))
# ... down to theme and guide customization
q2 <- q1 +
 theme_scalebar(text_size = 8, color = "red") +
 guides(
  x = guide_scalebar(just = "left", label = \(x){paste(x, "nucleotides")}))

p1 + q1 + p2 + q2 + plot_layout(ncol=2)

# 2. The optional `geom_scalebar` with easy relative ...
p3 <- p1 + geom_scalebar(x = "center", y = 0.5)
# ... and absolute placement anywhere in the plot area
q3 <- q1 + geom_scalebar(length = 0.1, x = 1.5e6, y = 1.3, color = "blue",
  fontface = "italic")
# 3. Or also a regular axis with genomic units...
p4 <- p1 + guides(x = "axis")
# ... which can be further customized
q4 <- q0 + scale_x_genomic(guide = "axis", unit = "", sep = "")

p3 + q3 + p4 + q4 + plot_layout(ncol=2)

# Note: `xlim()` or scale_x_continuous()` will overwrite the genomic scale
p1 + xlim(c(0, 1e4)) + 
# Use `scale_x_genomic(limits=)` to prevent that
p1 + scale_x_genomic(limits=c(0, 1e4))