nanoplot_options: Supply nanoplot options to 'cols_nanoplot()'

In rstudio/gt: Easily Create Presentation-Ready Display Tables

Supply nanoplot options to cols_nanoplot()

Description

When using cols_nanoplot(), the defaults for the generated nanoplots can be modified with nanoplot_options() within the options argument.

Usage

nanoplot_options(
  data_point_radius = NULL,
  data_point_stroke_color = NULL,
  data_point_stroke_width = NULL,
  data_point_fill_color = NULL,
  data_line_type = NULL,
  data_line_stroke_color = NULL,
  data_line_stroke_width = NULL,
  data_area_fill_color = NULL,
  data_bar_stroke_color = NULL,
  data_bar_stroke_width = NULL,
  data_bar_fill_color = NULL,
  data_bar_negative_stroke_color = NULL,
  data_bar_negative_stroke_width = NULL,
  data_bar_negative_fill_color = NULL,
  reference_line_color = NULL,
  reference_area_fill_color = NULL,
  vertical_guide_stroke_color = NULL,
  vertical_guide_stroke_width = NULL,
  show_data_points = NULL,
  show_data_line = NULL,
  show_data_area = NULL,
  show_reference_line = NULL,
  show_reference_area = NULL,
  show_vertical_guides = NULL,
  show_y_axis_guide = NULL,
  interactive_data_values = NULL,
  y_val_fmt_fn = NULL,
  y_axis_fmt_fn = NULL,
  y_ref_line_fmt_fn = NULL,
  currency = NULL
)

Arguments

data_point_radius	Radius of data points ⁠scalar<numeric>|vector<numeric>⁠ // default: NULL (optional) The data_point_radius option lets you set the radius for each of the data points. By default this is set to 10. Individual radius values can be set by using a vector of numeric values; however, the vector provided must match the number of data points.
data_point_stroke_color	Color of data points ⁠scalar<character>|vector<character>⁠ // default: NULL (optional) The default stroke color of the data points is "#FFFFFF" ("white"). This works well when there is a visible data line combined with data points with a darker fill color. The stroke color can be modified with data_point_stroke_color for all data points by supplying a single color value. With a vector of colors, each data point's stroke color can be changed (ensure that the vector length matches the number of data points).
data_point_stroke_width	Width of surrounding line on data points ⁠scalar<numeric>|vector<numeric>⁠ // default: NULL (optional) The width of the outside stroke for the data points can be modified with the data_point_stroke_width option. By default, a value of 4 (as in '4px') is used.
data_point_fill_color	Fill color for data points ⁠scalar<character>|vector<character>⁠ // default: NULL (optional) By default, all data points have a fill color of "#FF0000" ("red"). This can be changed for all data points by providing a different color to data_point_fill_color. And, a vector of different colors can be supplied so long as the length is equal to the number of data points; the fill color values will be applied in order of left to right.
data_line_type	Type of data line: curved or straight ⁠scalar<character>⁠ // default: NULL (optional) This can accept either "curved" or "straight". Curved lines are recommended when the nanoplot has less than 30 points and data points are evenly spaced. In most other cases, straight lines might present better.
data_line_stroke_color	Color of the data line ⁠scalar<character>⁠ // default: NULL (optional) The color of the data line can be modified from its default "#4682B4" ("steelblue") color by supplying a color to the data_line_stroke_color option.
data_line_stroke_width	Width of the data line ⁠scalar<numeric>⁠ // default: NULL (optional) The width of the connecting data line can be modified with the data_line_stroke_width option. By default, a value of 4 (as in '4px') is used.
data_area_fill_color	Fill color for the data-point-bounded area ⁠scalar<character>⁠ // default: NULL (optional) The fill color for the area that bounds the data points in line plot. The default is "#FF0000" ("red") but can be changed by providing a color value to data_area_fill_color.
data_bar_stroke_color	Color of a data bar's outside line ⁠scalar<character>⁠ // default: NULL (optional) The color of the stroke used for the data bars can be modified from its default "#3290CC" color by supplying a color to the data_bar_stroke_color option.
data_bar_stroke_width	Width of a data bar's outside line ⁠scalar<numeric>⁠ // default: NULL (optional) The width of the stroke used for the data bars can be modified with the data_bar_stroke_width option. By default, a value of 4 (as in '4px') is used.
data_bar_fill_color	Fill color for data bars ⁠scalar<character>|vector<character>⁠ // default: NULL (optional) By default, all data bars have a fill color of "#3FB5FF". This can be changed for all data bars by providing a different color to data_bar_fill_color. And, a vector of different colors can be supplied so long as the length is equal to the number of data bars; the fill color values will be applied in order of left to right.
data_bar_negative_stroke_color	Stroke color for negative values ⁠scalar<character>⁠ // default: NULL (optional) The color of the stroke used for the data bars that have negative values. The default color is "#CC3243" but this can be changed by supplying a color value to the data_bar_negative_stroke_color option.
data_bar_negative_stroke_width	Stroke width for negative values ⁠scalar<numeric>⁠ // default: NULL (optional) The width of the stroke used for negative value data bars. This has the same default as data_bar_stroke_width with a value of 4 (as in '4px'). This can be changed by giving a numeric value to the data_bar_negative_stroke_width option.
data_bar_negative_fill_color	Fill color for negative values ⁠scalar<character>|vector<character>⁠ // default: NULL (optional) By default, all negative data bars have a fill color of "#D75A68". This can however be changed by providing a color value to the data_bar_negative_fill_color option.
reference_line_color	Color for the reference line ⁠scalar<character>⁠ // default: NULL (optional) The reference line will have a color of "#75A8B0" if it is set to appear. This color can be changed by providing a single color value to reference_line_color.
reference_area_fill_color	Fill color for the reference area ⁠scalar<character>⁠ // default: NULL (optional) If a reference area has been defined and is visible it has by default a fill color of "#A6E6F2". This can be modified by declaring a color value in the reference_area_fill_color option.
vertical_guide_stroke_color	Color of vertical guides ⁠scalar<character>⁠ // default: NULL (optional) Vertical guides appear when hovering in the vicinity of data points. Their default color is "#911EB4" (a strong magenta color) and a fill opacity value of 0.4 is automatically applied to this. However, the base color can be changed with the vertical_guide_stroke_color option.
vertical_guide_stroke_width	Line widths for vertical guides ⁠scalar<numeric>⁠ // default: NULL (optional) The vertical guide's stroke width, by default, is relatively large at 12 (this is '12px'). This is modifiable by setting a different value with the vertical_guide_stroke_width option.
show_data_points	Should the data points be shown? ⁠scalar<logical>⁠ // default: NULL (optional) By default, all data points in a nanoplot are shown but this layer can be hidden by setting show_data_points to FALSE.
show_data_line	Should a data line be shown? ⁠scalar<logical>⁠ // default: NULL (optional) The data line connects data points together and it is shown by default. This data line layer can be hidden by setting show_data_line to FALSE.
show_data_area	Should a data-point-bounded area be shown? ⁠scalar<logical>⁠ // default: NULL (optional) The data area layer is adjacent to the data points and the data line. It is shown by default but can be hidden with show_data_area = FALSE.
show_reference_line	Should a reference line be shown? ⁠scalar<logical>⁠ // default: NULL (optional) The layer with a horizontal reference line appears underneath that of the data points and the data line. Like vertical guides, hovering over a reference will show its value. The reference line (if available) is shown by default but can be hidden by setting show_reference_line to FALSE.
show_reference_area	Should a reference area be shown? ⁠scalar<logical>⁠ // default: NULL (optional) The reference area appears at the very bottom of the layer stack, if it is available (i.e., defined in cols_nanoplot()). It will be shown in the default case but can be hidden by using show_reference_area = FALSE.
show_vertical_guides	Should there be vertical guides? ⁠scalar<logical>⁠ // default: NULL (optional) Vertical guides appear when hovering over data points. This hidden layer is active by default but can be deactivated by using show_vertical_guides = FALSE.
show_y_axis_guide	Should there be a y-axis guide? ⁠scalar<logical>⁠ // default: NULL (optional) The y-axis guide will appear when hovering over the far left side of a nanoplot. This hidden layer is active by default but can be deactivated by using show_y_axis_guide = FALSE.
interactive_data_values	Should data values be interactively shown? ⁠scalar<logical>⁠ // default: NULL (optional) By default, numeric data values will be shown only when the user interacts with certain regions of a nanoplot. This is because the values may be numerous (i.e., clutter the display when all are visible) and it can be argued that the values themselves are secondary to the presentation. However, for some types of plots (like horizontal bar plots), a persistent display of values alongside the plot marks may be desirable. By setting interactive_data_values = FALSE we can opt for always displaying the data values alongside the plot components.
y_val_fmt_fn, y_axis_fmt_fn, y_ref_line_fmt_fn	Custom formatting for y values function // default: NULL (optional) If providing a function to y_val_fmt_fn, y_axis_fmt_fn, or y_ref_line_fmt_fn then customized formatting of the y values associated with the data points/bars, the y-axis labels, and the reference line can be performed.
currency	Define values as currencies of a specific type ⁠scalar<character>|obj:<gt_currency>⁠ // default: NULL (optional) If the values are to be displayed as currency values, supply either: (1) a 3-letter currency code (e.g., "USD" for U.S. Dollars, "EUR" for the Euro currency), (2) a common currency name (e.g., "dollar", "pound", "yen", etc.), or (3) an invocation of the currency() helper function for specifying a custom currency (where the string could vary across output contexts). Use info_currencies() to get an information table with all of the valid currency codes, and examples of each, for the first two cases.

Value

A list object of class nanoplot_options.

Function ID

8-8

Function Introduced

v0.10.0 (October 7, 2023)

See Also

Other helper functions: adjust_luminance(), cell_borders(), cell_fill(), cell_text(), currency(), default_fonts(), escape_latex(), from_column(), google_font(), gt_latex_dependencies(), html(), md(), pct(), px(), random_id(), row_group(), stub(), system_fonts(), unit_conversion()

rstudio/gt documentation built on Nov. 2, 2024, 5:53 p.m.