Add a "density" layer to a Bokeh figure

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Description

Draws a kernel density estimate

Usage

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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,
  visible = TRUE, ...)

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

visible

should the layer be visible?

...

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

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

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