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Creates an interactive plot using ggiraph. This function extends gf_freqpoly() with interactive features like tooltips and clickable elements.

Usage

gf_freqpoly_interactive(
  object = NULL,
  gformula = NULL,
  data = NULL,
  ...,
  alpha,
  color,
  group,
  linetype,
  linewidth,
  binwidth,
  bins,
  center,
  boundary,
  xlab,
  ylab,
  title,
  subtitle,
  caption,
  stat = "bin",
  position = "identity",
  show.legend = NA,
  show.help = NULL,
  inherit = TRUE,
  environment = parent.frame()
)

Arguments

object

When chaining, this holds an object produced in the earlier portions of the chain. Most users can safely ignore this argument. See details and examples.

gformula

A formula with shape ~ x or y ~ x. Faceting can be achieved by including | in the formula.

data

The data to be displayed in this layer. There are three options: If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot(). A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created. A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

...

Additional arguments passed to the underlying interactive geom. This is where ggiraph's interactive aesthetics are supplied, including tooltip (text shown on hover), data_id (identifiers used for interactive selection), and onclick (JavaScript run on click).

alpha

Opacity (0 = invisible, 1 = opaque).

color

A color or a formula used for mapping color.

group

Used for grouping.

linetype

A linetype (numeric or "dashed", "dotted", etc.) or a formula used for mapping linetype.

linewidth

A numerical line width or a formula used for mapping linewidth.

binwidth

The width of the bins. Can be specified as a numeric value or as a function that takes x after scale transformation as input and returns a single numeric value. When specifying a function along with a grouping structure, the function will be called once per group. The default is to use the number of bins in bins, covering the range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data. The bin width of a date variable is the number of days in each time; the bin width of a time variable is the number of seconds.

bins

Number of bins. Overridden by binwidth. Defaults to 30.

center

bin position specifiers. Only one, center or boundary, may be specified for a single plot. center specifies the center of one of the bins. boundary specifies the boundary between two bins. Note that if either is above or below the range of the data, things will be shifted by the appropriate integer multiple of binwidth. For example, to center on integers use binwidth = 1 and center = 0, even if 0 is outside the range of the data. Alternatively, this same alignment can be specified with binwidth = 1 and boundary = 0.5, even if 0.5 is outside the range of the data.

boundary

bin position specifiers. Only one, center or boundary, may be specified for a single plot. center specifies the center of one of the bins. boundary specifies the boundary between two bins. Note that if either is above or below the range of the data, things will be shifted by the appropriate integer multiple of binwidth. For example, to center on integers use binwidth = 1 and center = 0, even if 0 is outside the range of the data. Alternatively, this same alignment can be specified with binwidth = 1 and boundary = 0.5, even if 0.5 is outside the range of the data.

xlab

Label for x-axis. See also gf_labs().

ylab

Label for y-axis. See also gf_labs().

title

Title, sub-title, and caption for the plot. See also gf_labs().

subtitle

Title, sub-title, and caption for the plot. See also gf_labs().

caption

Title, sub-title, and caption for the plot. See also gf_labs().

stat

Use to override the default connection between geom_histogram()/geom_freqpoly() and stat_bin(). For more information at overriding these connections, see how the stat and geom arguments work.

position

A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The position argument accepts the following:

  • The result of calling a position function, such as position_jitter(). This method allows for passing extra arguments to the position.

  • A string naming the position adjustment. To give the position as a string, strip the function name of the position_ prefix. For example, to use position_jitter(), give the position as "jitter".

  • For more information and other ways to specify the position, see the layer position documentation.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display. To include legend keys for all levels, even when no data exists, use TRUE. If NA, all levels are shown in legend, but unobserved levels are omitted.

show.help

If TRUE, display some minimal help.

inherit

A logical indicating whether default attributes are inherited.

environment

An environment in which to look for variables not found in data.

Value

A gg object that can be displayed with gf_girafe().

Additional interactive features

  • onclick: JavaScript code (as character string) executed when clicking elements.

  • Additional ggiraph aesthetics may be available depending on the geom.

Examples

gf_freqpoly_interactive(mpg ~ wt, data = mtcars,
                       tooltip = ~ paste("MPG:", mpg)) |>
  gf_girafe()
#> Warning: Ignoring unknown aesthetics: .
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.
#> Warning: The following aesthetics were dropped during statistical transformation: ..
#>  This can happen when ggplot fails to infer the correct grouping structure in
#>   the data.
#>  Did you forget to specify a `group` aesthetic or to convert a numerical
#>   variable into a factor?