ly_quadratic {rbokeh}R Documentation

Add a "quadratic" layer to a Bokeh figure

Description

Draws quadratic curves with the given starting, ending, and control points.

Usage

ly_quadratic(fig, x0, y0, x1, y1, cx, cy, data = figure_data(fig),
  color = NULL, alpha = NULL, type = 1, width = 1, hov_color = NULL,
  hov_alpha = NULL, ns_color = NULL, ns_alpha = NULL, sel_color = NULL,
  sel_alpha = NULL, legend = TRUE, lname = NULL, lgroup = NULL, ...)

Arguments

fig

Figure to modify.

x0

Values or field name / expression indicating starting x coordinates.

y0

Values or field name / expression indicating starting y coordinates.

x1

Values or field name / expression indicating ending x coordinates.

y1

Values or field name / expression indicating ending y coordinates.

cx

Values or field name / expression indicating control point x coordinates.

cy

Values or field name / expression indicating control point y coordinates.

data

an optional data frame, providing the source for start, end, and control point intputs, as well as other glyph properties

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).

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.

width

Stroke width in units of pixels.

hov_color

Color to use to stroke lines when they are hovered.

hov_alpha

Transparency value for the line when it is hovered.

ns_color

Color to use to stroke lines when they are not selected.

ns_alpha

Transparency value for the line when it is not selected.

sel_color

Color to use to stroke lines when they are selected.

sel_alpha

Transparency value for the line when it is selected.

legend

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.

lname

Layer name.

lgroup

Layer group.

...

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

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. When attributes are mapped, legend entries are automatically created for the mappings (when possible).

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_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_multi_line, ly_oval, ly_patch, ly_points, ly_polygons, ly_quantile, ly_ray, ly_rect, ly_segments, ly_text, ly_wedge

Examples

# this plot does not serve any practical purpose but illustrates ly_quadratic
figure() %>%
  ly_quadratic(
    x0 = Sepal.Length,
    x1 = Sepal.Length + runif(150),
    cx = Sepal.Length + runif(150),
    y0 = Sepal.Width,
    y1 = Sepal.Width + runif(150),
    cy = Sepal.Width + runif(150),
    color = Species,
    data = iris,
    hover = iris)

[Package rbokeh version 0.6.3 Index]