plotSplitDonut-methods: Draw Two-Level Donut Charts

In steveped/chipExtra: Additional functions for working with ChIP-Seq data

Draw Two-Level Donut Charts

Description

Create Donut charts based on one or two columns in a data frame

Usage

plotSplitDonut(object, ...)

## S4 method for signature 'GRanges'
plotSplitDonut(object, scale_by = c("n", "width"), ...)

## S4 method for signature 'DataFrame'
plotSplitDonut(object, ...)

## S4 method for signature 'data.frame'
plotSplitDonut(
  object,
  inner,
  outer,
  scale_by,
  scale_factor = 1000,
  r_centre = 0.5,
  r_inner = 1,
  r_outer = 1,
  total_glue = "{comma(N)}",
  total_size = 5,
  total_colour = "black",
  inner_glue = "{inner} {.data[[inner]]}\n{percent(p,0.1)}",
  outer_glue = "{outer} {.data[[outer]]}\n{percent(p,0.1)}",
  total_label = c("label", "text", "none"),
  inner_label = c("label", "text", "none"),
  outer_label = c("label", "text", "none"),
  label_alpha = 1,
  inner_label_alpha = NULL,
  outer_label_alpha = NULL,
  label_size = 3,
  inner_label_size = NULL,
  outer_label_size = NULL,
  label_colour = "black",
  inner_label_colour = NULL,
  outer_label_colour = NULL,
  min_p = 0.05,
  inner_min_p = NULL,
  outer_min_p = NULL,
  max_p = 1,
  inner_max_p = NULL,
  outer_max_p = NULL,
  inner_pattern = ".",
  outer_pattern = ".",
  inner_rotate = FALSE,
  outer_rotate = FALSE,
  explode_inner = NULL,
  explode_outer = NULL,
  explode_query = c("AND", "OR"),
  explode_x = 0,
  explode_y = 0,
  explode_r = 0,
  nudge_r = 0.5,
  inner_nudge_r = NULL,
  outer_nudge_r = NULL,
  expand = 0.1,
  inner_palette = NULL,
  outer_palette = NULL,
  inner_legend = TRUE,
  outer_legend = TRUE,
  outer_p_by = c("all", "inner"),
  layout = c(main = area(1, 1, 12, 12), lg1 = area(2, 12), lg2 = area(11, 12)),
  ...
)

Arguments

object	A GRanges or data.frame-like object
...	Not used
scale_by	Column to scale values by. If provided, values in this column will be summed, instead of simply counting entries. Any label in the centre of the plot will also reflect this difference
inner	Column name to create the inner ring
outer	Column name to create the outer ring, subset by the inner ring
scale_factor	When scaling by another column, such as width, totals will be divided by this value, with 1000 being the default to provide output in kb.
r_centre	The radius of the hole in the centre. Setting to zero will create a Pie chart
r_inner, r_outer	The radii of the inner/outer rings
total_glue	glue-syntax for formatting the total which appears in the centre of the plot. Internally, the value N will be calculated and as such, this value should appear within this argument.
total_size	Label size total number of entries in the centre of the plot.
total_colour	Label colour for the summary total in the centre
inner_glue, outer_glue	glue-syntax for formatting labels which appear on each inner/outer segment Internally, the values n and p will be calculated as totals and proportions of the total. As such, these values can appear within this argument, as well as the fields described in the details
total_label, inner_label, outer_label	Can take values 'text', 'label' or 'none'. If setting one the first two values, the labelling function ⁠geom_*⁠ will be called, otherwise no label will be drawn
label_alpha, inner_label_alpha, outer_label_alpha	transparency for labels
label_size, inner_label_size, outer_label_size	Size of all text labels
label_colour, inner_label_colour, outer_label_colour	Takes any colour specification, with the additional option of 'palette'. In this special case, the same palette as is used for each segment will be applied.
min_p, inner_min_p, outer_min_p	only display labels for segments representing greater than this proportion of the total. If inner/outer values are specified, the values in min_p will be ignored for that layer
max_p, inner_max_p, outer_max_p	only display labels for segments representing less than this proportion of the total. If inner/outer values are specified, the values in max_p will be ignored for that layer
inner_pattern, outer_pattern	Regular expressions which are combined with max_p and min_p values for accurately choosing labels
inner_rotate, outer_rotate	logical(1). Rotate labels for inner or outer rings. This will be ignored by when setting the geom as "label". See geom_text
explode_inner, explode_outer	Regular expressions from either the inner or outer ring for which segments will be 'exploded'
explode_query	Setting to AND and specifying values for both the inner and outer ring will require matches in both categories
explode_x, explode_y	Numeric values for shifting exploded values
explode_r	Radius expansion for exploded values
nudge_r, inner_nudge_r, outer_nudge_r	Radius expansion for labels
expand	Passed to expansion for both x and y axes. Can be helpful if labels are clipped by plot limits
inner_palette	Colour palette for the inner ring
outer_palette	Optional colour palette for the outer ring
inner_legend, outer_legend	logical(1). Show legends for either layer
outer_p_by	Scale the proportions for outer segments by the complete dataset, or within each inner segment
layout	Passed to plot_layout

Details

Using a data.frame or GRanges object, this function enables creation of a Pie/Donut chart with an inner and outer ring. The function itself is extremely flexible allowing for separate colour palettes in the inner and outer rings, as well as highly customisable labels.

Sections can be exploded using a value from the inner ring or outer ring separately, or in combination by setting explode_query = "AND". Exploded sections can be shifted by expanding the radius (explode_r), or along the x/y co-ordinates using explode_x/y, allowing for detailed placement of sections.

If only the inner palette is specified, segments in the outer ring will be assigned the same colours as the inner segments, but with increased transparency. Only a single legend will be drawn in this scenario. If an outer palette is specified, both colour palettes are completely distinct and two distinct legends will be drawn. The placement of these legends, along with the larger donut plot, can be manually specified by providing a layout as defined in plot_layout. Names are not required on this layout, but may be beneficial for code reproducibility.

The inner label denoting the total can also be heavily customised using the glue syntax to present the calculated value N along with any additional text, such as 'kb' if scaling GenomicRanges by width. The same approach can be taken for the inner and outer labels, where totals are held in the value n, proportions are held in the value p and the values corresponding to each segment can be accessed using .data[[inner]] or .data[[outer]]. Column titles can be added using {inner}/{outer}. Values from the inner segments can be added to the outer labels using this strategy enabling a wide variety of labelling approaches to be utilised.

Value

A patchwork object consisting of both ggplot2 objects and legend grobs

Examples

set.seed(200)
df <- data.frame(
  feature = sample(
    c("Promoter", "Enhancer", "Intergenic"), 200, replace = TRUE
  ),
  TF1 = sample(c("Up", "Down", "Unchanged"), 200, replace = TRUE),
  TF2 = sample(c("Up", "Down", "Unchanged"), 200, replace = TRUE)
)
## The standard plot
plotSplitDonut(df, inner = "TF1", outer = "TF2", inner_legend = FALSE)

## Adding an exploded section along with an outer palette & customisation
plotSplitDonut(
  df, inner = "TF1", outer = "feature", total_label = "none",
  inner_label_alpha = 0.5, r_centre = 0,
  outer_glue = "{.data[[outer]]}\n(n = {n})", outer_label = "text",
  explode_inner = "Up", explode_outer = "Prom|Enh",
  explode_query = "AND", explode_r = 0.4, outer_rotate = TRUE,
  inner_palette = hcl.colors(3, "Spectral", rev = TRUE),
  outer_palette = hcl.colors(3, "Cividis")
)

steveped/chipExtra documentation built on May 2, 2024, 12:11 p.m.