ly_lines {rbokeh} | R Documentation

## 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
`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_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

[Package rbokeh version 0.5.0 Index]