rbokeh (version 0.5.2)

ly_density: Add a "density" layer to a Bokeh figure

Description

Draws a kernel density estimate

Usage

ly_density(
  fig,
  x,
  data = figure_data(fig),
  bw = "nrd0",
  adjust = 1,
  kernel = c("gaussian", "epanechnikov", "rectangular", "triangular", "biweight",
    "cosine", "optcosine"),
  weights = NULL,
  window = kernel,
  n = 512,
  cut = 3,
  na.rm = FALSE,
  color = "black",
  alpha = 1,
  width = 1,
  type = 1,
  legend = NULL,
  lname = NULL,
  lgroup = NULL,
  ...
)

Arguments

fig

figure to modify

x, bw, adjust, kernel, weights, window, n, cut, na.rm

parameters passed to density

data

an optional data frame, providing the source for x

color

color to use to stroke lines with - a hex code (with no alpha) or any of the 147 named CSS colors, e.g 'green', 'indigo'

alpha

transparency value for the line between 0 (transparent) and 1 (opaque)

width

stroke width in units of pixels

type

an integer between 1 and 6 matching the lty property in par or an array of integer pixel distances that describe the on-off pattern of dashing to use

legend

text to display in the legend entry for the density line

lname

layer name

lgroup

layer group

…

additional parameters for fine control over line properties (see "Additional parameters" below)

Additional parameters

line_join	how path segments should be joined together 'miter' 'round' 'bevel'
line_cap	how path segments should be terminated 'butt' 'round' 'square'
line_dash	an integer between 1 and 6 matching the lty property in par or an array of integer pixel distances that describe the on-off pattern of dashing to use

See Also

Other layer functions: ly_abline(), ly_annular_wedge(), ly_annulus(), ly_arc(), ly_bar(), ly_bezier(), ly_boxplot(), ly_contour(), ly_crect(), ly_curve(), ly_hist(), ly_image_url(), ly_image(), ly_lines(), ly_map(), ly_multi_line(), ly_oval(), ly_patch(), ly_points(), ly_polygons(), ly_quadratic(), ly_quantile(), ly_ray(), ly_rect(), ly_segments(), ly_text(), ly_wedge()

Examples

# NOT RUN {
h <- figure(width = 600, height = 400) %>%
  ly_hist(eruptions, data = faithful, breaks = 40, freq = FALSE) %>%
  ly_density(eruptions, data = faithful)
h
# }