Add a "density" layer to a Bokeh figure

Draws a kernel density estimate

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
line_dash_offset	the distance in pixels into the line_dash that the pattern should start from

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

h <- figure(width = 600, height = 400) %>%
  ly_hist(eruptions, data = faithful, breaks = 40, freq = FALSE) %>%
  ly_density(eruptions, data = faithful)
h