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Ridge Plot

Source: R/densityplot.R
RidgePlot.Rd

Ridge plot to illustrate the distribution of the data in different groups.

Usage

RidgePlot(
  data,
  x = NULL,
  in_form = c("long", "wide"),
  split_by = NULL,
  split_by_sep = "_",
  group_by = NULL,
  group_by_sep = "_",
  group_name = NULL,
  scale = NULL,
  flip = FALSE,
  alpha = 1,
  theme = "theme_this",
  theme_args = list(),
  palette = "Paired",
  palcolor = NULL,
  title = NULL,
  subtitle = NULL,
  xlab = NULL,
  ylab = NULL,
  x_text_angle = 90,
  keep_empty = FALSE,
  reverse = FALSE,
  facet_by = NULL,
  facet_scales = "fixed",
  facet_ncol = NULL,
  facet_nrow = NULL,
  facet_byrow = TRUE,
  aspect.ratio = 1,
  legend.position = "none",
  legend.direction = "vertical",
  combine = TRUE,
  nrow = NULL,
  ncol = NULL,
  byrow = TRUE,
  seed = 8525,
  ...
)

Arguments

data

A data frame.

x

A character string specifying the column name of the data frame to plot for the x-axis.

in_form

A character string specifying the form of the data. Default is "long".

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

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

group_name

A character string to name the legend of 'group_by', if 'legend.position' is not "none".

scale

A numeric value to scale the ridges. See also geom_density_ridges.

flip

A logical value. If TRUE, the plot will be flipped.

alpha

A numeric value specifying the transparency of the plot.

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.

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.

x_text_angle

A numeric value specifying the angle of the x-axis text.

keep_empty

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

reverse

A logical value. If TRUE, reverse the order of the groups on the y-axis.

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.

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.

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

set.seed(8525)
data <- data.frame(
   x = c(rnorm(250, -1), rnorm(250, 1)),
   group = rep(LETTERS[1:5], each = 100)
)
RidgePlot(data, x = "x", group_by = "group")
#> Picking joint bandwidth of 0.378

RidgePlot(data, x = "x", group_by = "group", reverse = TRUE)
#> Picking joint bandwidth of 0.378


# wide form
data_wide <- data.frame(
   A = rnorm(100),
   B = rnorm(100),
   C = rnorm(100),
   D = rnorm(100),
   E = rnorm(100),
   group = sample(letters[1:4], 100, replace = TRUE)
)
RidgePlot(data_wide, group_by = LETTERS[1:5], in_form = "wide")
#> Picking joint bandwidth of 0.337

RidgePlot(data_wide, group_by = LETTERS[1:5], in_form = "wide", facet_by = "group")
#> Picking joint bandwidth of 0.429
#> Picking joint bandwidth of 0.367
#> Picking joint bandwidth of 0.416
#> Picking joint bandwidth of 0.428
#> Picking joint bandwidth of 0.429
#> Picking joint bandwidth of 0.367
#> Picking joint bandwidth of 0.416
#> Picking joint bandwidth of 0.428