ly_quantile: Add a "quantile" layer to a Bokeh figure

Description Usage Arguments Handling color Handling alpha Mapped plot attributes and legends Additional parameters See Also Examples

View source: R/layer_stats.R


Draws quantiles


ly_quantile(fig, x, group = NULL, data = figure_data(fig), probs = NULL,
  distn = stats::qunif, ncutoff = 200, color = NULL, alpha = 1,
  legend = TRUE, lname = NULL, lgroup = NULL, visible = TRUE, ...)



figure to modify


numeric vector or field name of variable to compute sample quantiles for


values or field name of a grouping variable to break quantile computations up by


an optional data frame, providing the source for x


numeric vector of probabilities with values in [0,1] at which to compute quantiles - if NULL, every point of x is a quantile


quantile function to use on the x-axis (e.g. qnorm) - default is qunif,


if the length of x exceeds this value and probs is not specified, compute quantiles at ncutoff points


color for the glyph - a hex code (with no alpha) or any of the 147 named CSS colors, e.g 'green', 'indigo' - for glyphs with both fill and line properties, see "Handling color" below


the alpha transparency of the glyph between 0 (transparent) and 1 (opaque) - if glyph has both fill and color properties, see "Handling alpha" below


either a logical specifying not to plot a legend for this layer (FALSE) or a string indicating the name of the legend entry for this layer (note that when mapping plot attributes to variables in data, a legend is automatically created and does not need to be specified - see "Mapped plot attributes and legends" below)


layer name


layer group


should the layer be visible?


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

Handling color

The color parameter is a high-level plot attribute that provides default behavior for coloring glyphs.

When color is NULL and fill_color or line_color are not specified, the color will be chosen from the theme.

Handling alpha

The alpha is a high-level plot attribute that sets the transparency of the glyph being plotted.

Mapped plot attributes and legends

When specifying an input data frame for a layer through the data argument, columns of data can be used to specify various plot attributes such as color, etc. For example, with ly_points(..., data = iris, color = Species), the Species variable is used to determine how to color the points. Here, Species is "mapped" to the color attribute. Both continuous and categorical variables can be mapped. In the case of continuous variables, the range is cut into slices and attributes are applied to each interval. The mapping from the values of the variable to the actual plot attributes is determined based on the theme.

Additional parameters

fill_color color to use to fill the glyph with - a hex code (with no alpha) or any of the 147 named CSS colors, e.g 'green', 'indigo'
fill_alpha transparency value between 0 (transparent) and 1 (opaque)
line_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'
line_width stroke width in units of pixels
line_alpha transparency value between 0 (transparent) and 1 (opaque)
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 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_density, 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_ray, ly_rect, ly_segments, ly_text, ly_wedge


figure(legend_location = "top_left") %>%
  ly_quantile(Sepal.Length, group = Species, data = iris)

Example output

There were 12 warnings (use warnings() to see them)

rbokeh documentation built on May 1, 2019, 8:07 p.m.