geom_stream_label {ggstream}

geom_stream_label geom to create labels to a geom_stream plot

Description

geom_stream_label

geom to create labels to a geom_stream plot

Usage

geom_stream_label(
  mapping = NULL,
  data = NULL,
  geom = "text",
  position = "identity",
  show.legend = NA,
  inherit.aes = TRUE,
  na.rm = TRUE,
  bw = 0.75,
  extra_span = 0.01,
  n_grid = 100,
  method = c("new_wiggle"),
  center_fun = NULL,
  type = c("mirror", "ridge", "proportional"),
  true_range = c("both", "min_x", "max_x", "none"),
  sorting = c("none", "onset", "inside_out"),
  ...
)

Arguments

mapping

provide you own mapping. both x and y need to be numeric.

data

provide you own data

geom

change geom

position

change position

show.legend

show legend in plot

inherit.aes

should the geom inherits aesthetics

na.rm

remove missing values

bw

bandwidth of kernel density estimation

extra_span

How many extra range should be used in estimation? Percent of x range added to min and max.

n_grid

number of x points that should be calculated. The higher the more smooth plot.

method

Only 'new wiggle' is implemented so far.

center_fun

a function that returns the y center for each possible x in range of x.

type

one of 'mirror' which stacks symmetrically around the x axis, or 'ridge' which stacks from the x-axis, or 'proportional'.

true_range

should the true data range be used or the estimation range?

sorting

Should the groups be sorted. Either the default 'none', 'onset' or 'inside_out'

...

other arguments to be passed to the geom

Value

a 'ggplot' layer

Examples

library(ggplot2)
set.seed(123)
 df <- data.frame(x = rep(1:10, 3),
                  y = rpois(30, 2),
                  group = sort(rep(c("A", "B", "C"), 10)))
ggplot(df, aes(x, y, fill = group, label = group)) +
  geom_stream() +
  geom_stream_label(n_grid = 100)