rbokeh (version 0.5.0)

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,
  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

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
# }

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