rbokeh (version 0.4.2)

ly_lines: Add a "lines" layer to a Bokeh figure Draws lines with the given coordinates.

Description

Add a "lines" layer to a Bokeh figure Draws lines with the given coordinates.

Usage

ly_lines(fig, x, y = NULL, data = figure_data(fig), group = NULL, color = "black", type = 1, width = 1, alpha = 1, legend = NULL, lname = NULL, lgroup = NULL, visible = TRUE, ...)

Arguments

fig

figure to modify

x

values or field name of line x coordinates

y

values or field name of line y coordinates

data

an optional data frame, providing the source for inputs x, y, and other glyph properties

group

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

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'

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

alpha

transparency value for the line between 0 (transparent) and 1 (opaque)

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

visible

should the layer be visible?

...

additional parameters for fine control over 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.

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_density, ly_hist, ly_image_url, ly_image, 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

z <- lm(dist ~ speed, data = cars)
p <- figure() %>%
  ly_points(cars, hover = cars) %>%
  ly_lines(lowess(cars), legend = "lowess") %>%
  ly_abline(z, type = 2, legend = "lm", width = 2)
p