Draws Bezier curves with the given starting, ending, and control points.
ly_bezier(
fig,
x0,
y0,
x1,
y1,
cx0,
cy0,
cx1,
cy1,
data = figure_data(fig),
color = "black",
alpha = 1,
width = 1,
type = 1,
legend = NULL,
lname = NULL,
lgroup = NULL,
...
)
figure to modify
values or field name of starting x coordinates
values or field name of starting y coordinates
values or field name of ending x coordinates
values or field name of ending y coordinates
values or field name of first control point x coordinates
values or field name of first control point y coordinates
values or field name of second control point x coordinates
values or field name of second control point y coordinates
an optional data frame, providing the source for start, end, and control point intputs, as well as other glyph properties
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)
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 |
Other layer functions:
ly_abline()
,
ly_annular_wedge()
,
ly_annulus()
,
ly_arc()
,
ly_bar()
,
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()