radarplot: Radar plot / Spider plot

In plotthis: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages

Radar plot / Spider plot

Description

Create a radar plot or spider plot for a series of data. Radar plot uses circles as the plot grid and Spider plot uses polygons.

Usage

RadarPlot(
  data,
  x,
  x_sep = "_",
  group_by = NULL,
  group_by_sep = "_",
  y = NULL,
  group_name = NULL,
  scale_y = c("group", "global", "x", "none"),
  y_min = 0,
  y_max = NULL,
  y_nbreaks = 4,
  fill = TRUE,
  linewidth = 1,
  pt_size = 4,
  max_charwidth = 16,
  split_by = NULL,
  split_by_sep = "_",
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  facet_by = NULL,
  facet_scales = "fixed",
  facet_ncol = NULL,
  facet_nrow = NULL,
  facet_byrow = TRUE,
  alpha = 0.2,
  aspect.ratio = 1,
  legend.position = waiver(),
  legend.direction = "vertical",
  title = NULL,
  subtitle = NULL,
  seed = 8525,
  combine = TRUE,
  nrow = NULL,
  ncol = NULL,
  byrow = TRUE,
  axes = NULL,
  axis_titles = axes,
  guides = NULL,
  design = NULL,
  ...
)

SpiderPlot(
  data,
  x,
  x_sep = "_",
  group_by = NULL,
  group_by_sep = "_",
  y = NULL,
  group_name = NULL,
  scale_y = c("group", "global", "x", "none"),
  y_min = 0,
  y_max = NULL,
  y_nbreaks = 4,
  fill = TRUE,
  linewidth = 1,
  pt_size = 4,
  max_charwidth = 16,
  split_by = NULL,
  split_by_sep = "_",
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  facet_by = NULL,
  facet_scales = "fixed",
  facet_ncol = NULL,
  facet_nrow = NULL,
  facet_byrow = TRUE,
  alpha = 0.2,
  aspect.ratio = 1,
  legend.position = waiver(),
  legend.direction = "vertical",
  title = NULL,
  subtitle = NULL,
  seed = 8525,
  combine = TRUE,
  nrow = NULL,
  ncol = NULL,
  byrow = TRUE,
  axes = NULL,
  axis_titles = axes,
  guides = NULL,
  design = NULL,
  ...
)

Arguments

data	A data frame.
x	A character string specifying the column name of the data frame to plot for the x-axis.
x_sep	A character string to concatenate the columns in x, if multiple columns are provided.
group_by	Columns to group the data for plotting For those plotting functions that do not support multiple groups, They will be concatenated into one column, using group_by_sep as the separator
group_by_sep	The separator for multiple group_by columns. See group_by
y	A character string specifying the column name of the data frame to plot for the y-axis.
group_name	A character string to name the legend of group.
scale_y	How should the y-axis be scaled? Default is "group". Other options are "global", "x" and "none". If "group", the y-axis will be scaled to the fraction within each group. If "global", the y-axis will be scaled to the fraction of the total. If "x", the y-axis will be scaled to the fraction of the total within each x-axis group. If "none", the y-axis will be scaled to the count of each x-axis group.
y_min	A numeric value to set the minimum value of the y-axis.
y_max	A numeric value to set the maximum value of the y-axis.
y_nbreaks	A numeric value to set the number of breaks in the y-axis.
fill	A logical value to fill the polygons with colors.
linewidth	A numeric value to set the width of the lines.
pt_size	A numeric value to set the size of the points.
max_charwidth	A numeric value to set the maximum character width for the x labels.
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
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).
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.
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.
seed	The random seed to use. Default is 8525.
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.
axes	A string specifying how axes should be treated. Passed to patchwork::wrap_plots(). Only relevant when split_by is used and combine is TRUE. Options are: 'keep' will retain all axes in individual plots. 'collect' will remove duplicated axes when placed in the same run of rows or columns of the layout. 'collect_x' and 'collect_y' will remove duplicated x-axes in the columns or duplicated y-axes in the rows respectively.
axis_titles	A string specifying how axis titltes should be treated. Passed to patchwork::wrap_plots(). Only relevant when split_by is used and combine is TRUE. Options are: 'keep' will retain all axis titles in individual plots. 'collect' will remove duplicated titles in one direction and merge titles in the opposite direction. 'collect_x' and 'collect_y' control this for x-axis titles and y-axis titles respectively.
guides	A string specifying how guides should be treated in the layout. Passed to patchwork::wrap_plots(). Only relevant when split_by is used and combine is TRUE. Options are: 'collect' will collect guides below to the given nesting level, removing duplicates. 'keep' will stop collection at this level and let guides be placed alongside their plot. 'auto' will allow guides to be collected if a upper level tries, but place them alongside the plot if not.
design	Specification of the location of areas in the layout, passed to patchwork::wrap_plots(). Only relevant when split_by is used and combine is TRUE. When specified, nrow, ncol, and byrow are ignored. See patchwork::wrap_plots() for more details.
...	Additional arguments.

Value

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

Examples

# use the count
data <- data.frame(
   x = c(rep("A", 2), rep("B", 3), rep("C", 3), rep("D", 4), rep("E", 5)),
   group = sample(paste0("G", 1:4), 17, replace = TRUE)
)
RadarPlot(data, x = "x")
RadarPlot(data, x = "x", scale_y = "none")
RadarPlot(data, x = "x", group_by = "group")
SpiderPlot(data, x = "x")
SpiderPlot(data, x = "x", group_by = "group")

# use the y value
data <- data.frame(
   x = rep(LETTERS[1:5], 2),
   y = c(1, 3, 6, 4, 2, 5, 7, 8, 9, 10),
   group = rep(c("G1", "G2"), each = 5)
)
RadarPlot(data, x = "x", y = "y", scale_y = "none", group_by = "group")
RadarPlot(data, x = "x", y = "y", facet_by = "group")
RadarPlot(data, x = "x", y = "y", split_by = "group")
RadarPlot(data, x = "x", y = "y", split_by = "group",
          palette = c(G1 = "Set1", G2 = "Paired"))

plotthis documentation built on April 11, 2025, 5:45 p.m.