Draws one or more straight lines.

ly_abline(
fig,
a = NULL,
b = NULL,
v = NULL,
h = NULL,
coef = NULL,
color = "black",
alpha = NULL,
width = 1,
type = 1,
legend = NULL,
lname = NULL,
lgroup = NULL,
...
)

## Arguments

fig figure to modify the intercept and slope of the line(s) to draw the x value(s) for vertical lines the y value(s) for horizontal lines a vector of length two giving the intercept and slope 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' transparency value for the line between 0 (transparent) and 1 (opaque) stroke width in units of pixels 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 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 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.

 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

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_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

# \donttest{
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
# }
# abline with mixed axes for h and v
figure() %>%
ly_points(1:26, letters) %>%
ly_abline(h = "j") %>%
ly_abline(v = 10)

# multiple hv lines
figure() %>%
ly_points(1:10) %>%
ly_abline(v = 1:10) %>%
ly_abline(h = 1:10)

# multiple ab lines
figure() %>%
ly_points(0:10) %>%
ly_abline(0, seq(0, 1, by = 0.1))