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Ring Plot

Source: R/ringplot.R
RingPlot.Rd

A ring plot is like pie chart but with multiple rings.

Usage

RingPlot(
  data,
  x = NULL,
  y = NULL,
  group_by = NULL,
  group_by_sep = "_",
  group_name = NULL,
  label = NULL,
  split_by = NULL,
  split_by_sep = "_",
  facet_by = NULL,
  facet_scales = "free_y",
  facet_ncol = NULL,
  facet_nrow = NULL,
  facet_byrow = TRUE,
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  alpha = 1,
  aspect.ratio = 1,
  legend.position = "right",
  legend.direction = "vertical",
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  keep_empty = FALSE,
  combine = TRUE,
  nrow = NULL,
  ncol = NULL,
  byrow = TRUE,
  seed = 8525,
  ...
)

Arguments

data

A data frame.

x

A character vector specifying the column as the rings of the plot.

y

A character vector specifying the column as the y axis of the plot. Default is NULL, meaning the y axis is the count of the data.

group_by

A character vector specifying the column as the group_by of the plot. How the ring is divided.

group_by_sep

A character string to concatenate the columns in group_by, if multiple columns are provided.

group_name

A character string to specify the name of the group_by in the legend.

label

A logical value indicating whether to show the labels on the rings. The labels should be the values of group_by. Default is NULL, meaning no labels for one ring and showing the labels for multiple rings.

split_by

The column(s) to split data by and plot separately.

split_by_sep

The separator for multiple split_by columns. See split_by

facet_by

A character string specifying the column name of the data frame to facet the plot. Otherwise, the data will be split by split_by and generate multiple plots and combine them into one using patchwork::wrap_plots

facet_scales

Whether to scale the axes of facets. Default is "fixed" Other options are "free", "free_x", "free_y". See ggplot2::facet_wrap

facet_ncol

A numeric value specifying the number of columns in the facet. When facet_by is a single column and facet_wrap is used.

facet_nrow

A numeric value specifying the number of rows in the facet. When facet_by is a single column and facet_wrap is used.

facet_byrow

A logical value indicating whether to fill the plots by row. Default is TRUE.

theme

A character string or a theme class (i.e. ggplot2::theme_classic) specifying the theme to use. Default is "theme_this".

theme_args

A list of arguments to pass to the theme function.

palette

A character string specifying the palette to use.

palcolor

A character string specifying the color to use in the palette.

alpha

A numeric value specifying the transparency of the plot.

aspect.ratio

A numeric value specifying the aspect ratio of the plot.

legend.position

A character string specifying the position of the legend. if waiver(), for single groups, the legend will be "none", otherwise "right".

legend.direction

A character string specifying the direction of the legend.

title

A character string specifying the title of the plot. A function can be used to generate the title based on the default title. This is useful when split_by is used and the title needs to be dynamic.

subtitle

A character string specifying the subtitle of the plot.

xlab

A character string specifying the x-axis label.

ylab

A character string specifying the y-axis label.

keep_empty

A logical value indicating whether to keep empty groups. If FALSE, empty groups will be removed.

combine

Whether to combine the plots into one when facet is FALSE. Default is TRUE.

nrow

A numeric value specifying the number of rows in the facet.

ncol

A numeric value specifying the number of columns in the facet.

byrow

A logical value indicating whether to fill the plots by row.

seed

The random seed to use. Default is 8525.

...

Additional arguments.

Value

A ggplot object or wrap_plots object or a list of ggplot objects

See also

PieChart

Examples

RingPlot(datasets::iris, group_by = "Species")


data <- data.frame(
  x = c("A", "B", "C", "A", "B", "C"),
  y = c(1, 2, 3, 4, 5, 6),
  group = c("a", "a", "a", "b", "b", "b")
)
RingPlot(data, x = "x", y = "y", group_by = "group")

RingPlot(datasets::mtcars, x = "cyl", group_by = "carb", facet_by = "vs")

RingPlot(datasets::mtcars, x = "cyl", group_by = "carb", split_by = "vs")