Skip to contents

Radar plot / Spider plot

Source: R/radarplot.R
radarplot.Rd

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,
  ...
)

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,
  ...
)

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.

...

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"))