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 usingpatchwork::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. A named list or vector can be used to specify the palettes for different
split_by
values.- palcolor
A character string specifying the color to use in the palette. A named list can be used to specify the colors for different
split_by
values. If some values are missing, the values from the palette will be used (palcolor will be NULL for those values).- 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.
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",
palette = c("0" = "Set1", "1" = "Paired"))