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-
-#' ggproto classes for ggshadow
-#'
-#' Please refer to ggplot2 documentation for more information on the ggproto class system
-#'
-#' @keywords internal
-#' @name ggshadow-ggproto
-NULL
-
-
-
-#' Default params for geoms
-#'
-#' @param mapping Set of aesthetic mappings created by [aes()] or
-#'   [aes_()]. If specified and `inherit.aes = TRUE` (the
-#'   default), it is combined with the default mapping at the top level of the
-#'   plot. You must supply `mapping` if there is no plot mapping.
-#' @param 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)`).
-#' @param stat The statistical transformation to use on the data for this
-#'    layer, as a string.
-#' @param position Position adjustment, either as a string, or the result of
-#'  a call to a position adjustment function.
-#' @param 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.
-#' @param inherit.aes If `FALSE`, overrides the default aesthetics,
-#'   rather than combining with them. This is most useful for helper functions
-#'   that define both data and aesthetics and shouldn't inherit behaviour from
-#'   the default plot specification, e.g. [borders()].
-#'
-#' @keywords internal
-#' @name ggshadow-params
-NULL
-
-
-
-#' Evenly spaced colours for discrete data
-#'
-#' This is the default colour scale for categorical variables. It maps each
-#' level to an evenly spaced hue on the colour wheel. It does not generate
-#' colour-blind safe palettes.
-#'
-#' @param na.value Colour to use for missing values
-#' @inheritDotParams ggplot2::discrete_scale -aesthetics
-#' @param aesthetics Character string or vector of character strings listing the
-#'   name(s) of the aesthetic(s) that this scale works with. This can be useful, for
-#'   example, to apply colour settings to the `colour` and `fill` aesthetics at the
-#'   same time, via `aesthetics = c("colour", "fill")`.
-#' @inheritParams scales::hue_pal
-#' @family colour scales
-#' @name scale_colour_hue
-NULL
-
-
-
-#' Sequential, diverging and qualitative colour scales from colorbrewer.org
-#'
-#' @description
-#' The `brewer` scales provides sequential, diverging and qualitative
-#' colour schemes from ColorBrewer. These are particularly well suited to
-#' display discrete values on a map. See \url{https://colorbrewer2.org} for
-#' more information.
-#'
-#' @note
-#' The `distiller` scales extend brewer to continuous scales by smoothly
-#' interpolating 7 colours from any palette to a continuous scale. The `fermenter`
-#' scales provide binned versions of the brewer scales.
-#'
-#' @details
-#' The `brewer` scales were carefully designed and tested on discrete data.
-#' They were not designed to be extended to continuous data, but results often
-#' look good. Your mileage may vary.
-#'
-#' @section Palettes:
-#' The following palettes are available for use with these scales:
-#' \describe{
-#'   \item{Diverging}{BrBG, PiYG, PRGn, PuOr, RdBu, RdGy, RdYlBu, RdYlGn, Spectral}
-#'   \item{Qualitative}{Accent, Dark2, Paired, Pastel1, Pastel2, Set1, Set2, Set3}
-#'   \item{Sequential}{Blues, BuGn, BuPu, GnBu, Greens, Greys, Oranges,
-#'      OrRd, PuBu, PuBuGn, PuRd, Purples, RdPu, Reds, YlGn, YlGnBu, YlOrBr, YlOrRd}
-#' }
-#' Modify the palette through the `palette` arguement.
-#'
-#' @inheritParams scales::brewer_pal
-#' @inheritParams ggplot2::scale_colour_hue
-#' @inheritParams ggplot2::scale_colour_gradient
-#' @inheritParams scales::gradient_n_pal
-#' @param palette If a string, will use that named palette. If a number, will index into
-#'   the list of palettes of appropriate `type`. The list of available palettes can found
-#'   in the Palettes section.
-#' @param ... Other arguments passed on to [discrete_scale()], [continuous_scale()],
-#'   or [binned_scale()], for `brewer`, `distiller`, and `fermenter` variants
-#'   respectively, to control name, limits, breaks, labels and so forth.
-#' @family colour scales
-#' @name scale_brewer
-NULL
-
-
-
-
-#' Create your own discrete scale
-#'
-#' These functions allow you to specify your own set of mappings from levels in the
-#' data to aesthetic values.
-#'
-#' The functions `scale_colour_manual()`, `scale_fill_manual()`, `scale_size_manual()`,
-#' etc. work on the aesthetics specified in the scale name: `colour`, `fill`, `size`,
-#' etc. However, the functions `scale_colour_manual()` and `scale_fill_manual()` also
-#' have an optional `aesthetics` argument that can be used to define both `colour` and
-#' `fill` aesthetic mappings via a single function call (see examples). The function
-#' `scale_discrete_manual()` is a generic scale that can work with any aesthetic or set
-#' of aesthetics provided via the `aesthetics` argument.
-#'
-#' @inheritParams ggplot2::scale_x_discrete
-#' @inheritDotParams ggplot2::discrete_scale -expand -position -aesthetics
-#' @param aesthetics Character string or vector of character strings listing the
-#'   name(s) of the aesthetic(s) that this scale works with. This can be useful, for
-#'   example, to apply colour settings to the `colour` and `fill` aesthetics at the
-#'   same time, via `aesthetics = c("colour", "fill")`.
-#' @param values a set of aesthetic values to map data values to. The values
-#'   will be matched in order (usually alphabetical) with the limits of the
-#'   scale, or with `breaks` if provided. If this is a named vector, then the
-#'   values will be matched based on the names instead. Data values that don't
-#'   match will be given `na.value`.
-#' @param breaks One of:
-#'   - `NULL` for no breaks
-#'   - `waiver()` for the default breaks (the scale limits)
-#'   - A character vector of breaks
-#'   - A function that takes the limits as input and returns breaks
-#'     as output
-#' @section Color Blindness:
-#' Many color palettes derived from RGB combinations (like the "rainbow" color
-#' palette) are not suitable to support all viewers, especially those with
-#' color vision deficiencies. Using `viridis` type, which is perceptually
-#' uniform in both colour and black-and-white display is an easy option to
-#' ensure good perceptive properties of your visulizations.
-#' The colorspace package offers functionalities
-#' - to generate color palettes with good perceptive properties,
-#' - to analyse a given color palette, like emulating color blindness,
-#' - and to modify a given color palette for better perceptivity.
-#'
-#' For more information on color vision deficiencies and suitable color choices
-#' see the [paper on the colorspace package](https://arxiv.org/abs/1903.06490)
-#' and references therein.
-#' @name scale_manual
-#' @aliases NULL
-NULL
-
-
-#' Continuous and binned colour scales
-#'
-#' Colour scales for continuous data default to the values of the
-#' `ggplot2.continuous.colour` and `ggplot2.continuous.fill` options. These
-#' [options()] default to `"gradient"` (i.e., [scale_colour_gradient()] and
-#' [scale_fill_gradient()])
-#'
-#' @param ... Additional parameters passed on to the scale type
-#' @param type One of the following:
-#'   * "gradient" (the default)
-#'   * "viridis"
-#'   * A function that returns a continuous colour scale.
-#' @seealso [scale_colour_gradient()], [scale_colour_viridis_c()],
-#'   [scale_colour_steps()], [scale_colour_viridis_b()], [scale_fill_gradient()],
-#'   [scale_fill_viridis_c()], [scale_fill_steps()], and [scale_fill_viridis_b()]
-#' @section Color Blindness:
-#' Many color palettes derived from RGB combinations (like the "rainbow" color
-#' palette) are not suitable to support all viewers, especially those with
-#' color vision deficiencies. Using `viridis` type, which is perceptually
-#' uniform in both colour and black-and-white display is an easy option to
-#' ensure good perceptive properties of your visulizations.
-#' The colorspace package offers functionalities
-#' - to generate color palettes with good perceptive properties,
-#' - to analyse a given color palette, like emulating color blindness,
-#' - and to modify a given color palette for better perceptivity.
-#'
-#' For more information on color vision deficiencies and suitable color choices
-#' see the [paper on the colorspace package](https://arxiv.org/abs/1903.06490)
-#' and references therein.
-#' @name scale_continuous
-NULL
-
-
-
-#' Gradient colour scales
-#'
-#' `scale_*_gradient` creates a two colour gradient (low-high),
-#' `scale_*_gradient2` creates a diverging colour gradient (low-mid-high),
-#' `scale_*_gradientn` creates a n-colour gradient.
-#'
-#' Default colours are generated with \pkg{munsell} and
-#' `mnsl(c("2.5PB 2/4", "2.5PB 7/10"))`. Generally, for continuous
-#' colour scales you want to keep hue constant, but vary chroma and
-#' luminance. The \pkg{munsell} package makes this easy to do using the
-#' Munsell colour system.
-#'
-#' @inheritParams scales::seq_gradient_pal
-#' @inheritParams ggplot2::scale_colour_gradient
-#' @param low,high Colours for low and high ends of the gradient.
-#' @param guide Type of legend. Use `"colourbar"` for continuous
-#'   colour bar, or `"legend"` for discrete colour legend.
-#' @inheritDotParams ggplot2::continuous_scale -na.value -guide -aesthetics
-#' @seealso [scales::seq_gradient_pal()] for details on underlying
-#'   palette
-#' @family colour scales
-#' @name scale_gradient
-NULL
-
-
-
-#' Binned gradient colour scales
-#'
-#' `scale_*_steps` creates a two colour binned gradient (low-high),
-#' `scale_*_steps2` creates a diverging binned colour gradient (low-mid-high),
-#' and `scale_*_stepsn` creates a n-colour binned gradient. These scales are
-#' binned variants of the [gradient scale][scale_colour_gradient] family and
-#' works in the same way.
-#'
-#' Default colours are generated with \pkg{munsell} and
-#' `mnsl(c("2.5PB 2/4", "2.5PB 7/10"))`. Generally, for continuous
-#' colour scales you want to keep hue constant, but vary chroma and
-#' luminance. The \pkg{munsell} package makes this easy to do using the
-#' Munsell colour system.
-#'
-#' @inheritParams ggplot2::scale_colour_gradient
-#' @inheritDotParams ggplot2::binned_scale -aesthetics -scale_name -palette -na.value -guide -rescaler
-#'
-#' @seealso [scales::seq_gradient_pal()] for details on underlying
-#'   palette
-#' @family colour scales
-#' @name scale_colour_steps
-NULL
-
-
-
-#' Use values without scaling
-#'
-#' Use this set of scales when your data has already been scaled, i.e. it
-#' already represents aesthetic values that ggplot2 can handle directly.
-#' These scales will not produce a legend unless you also supply the `breaks`,
-#' `labels`, and type of `guide` you want.
-#'
-#' The functions `scale_colour_identity()`, `scale_fill_identity()`, `scale_size_identity()`,
-#' etc. work on the aesthetics specified in the scale name: `colour`, `fill`, `size`,
-#' etc. However, the functions `scale_colour_identity()` and `scale_fill_identity()` also
-#' have an optional `aesthetics` argument that can be used to define both `colour` and
-#' `fill` aesthetic mappings via a single function call. The functions
-#' `scale_discrete_identity()` and `scale_continuous_identity()` are generic scales that
-#' can work with any aesthetic or set of aesthetics provided via the `aesthetics`
-#' argument.
-#'
-#' @param ... Other arguments passed on to [discrete_scale()] or
-#'   [continuous_scale()]
-#' @param aesthetics Character string or vector of character strings listing the
-#'   name(s) of the aesthetic(s) that this scale works with. This can be useful, for
-#'   example, to apply colour settings to the `colour` and `fill` aesthetics at the
-#'   same time, via `aesthetics = c("colour", "fill")`.
-#' @param guide Guide to use for this scale. Defaults to `"none"`.
-#' @name scale_identity
-#' @aliases NULL
-NULL
-
-
-
-#' Viridis colour scales from viridisLite
-#'
-#' The `viridis` scales provide colour maps that are perceptually uniform in both
-#' colour and black-and-white. They are also designed to be perceived by viewers
-#' with common forms of colour blindness. See also
-#' <https://bids.github.io/colormap/>.
-#'
-#' @inheritParams scales::viridis_pal
-#' @inheritParams scales::gradient_n_pal
-#' @inheritParams ggplot2::continuous_scale
-#' @param ... Other arguments passed on to [discrete_scale()],
-#' [continuous_scale()], or [binned_scale] to control name, limits, breaks,
-#'   labels and so forth.
-#' @param aesthetics Character string or vector of character strings listing the
-#'   name(s) of the aesthetic(s) that this scale works with. This can be useful, for
-#'   example, to apply colour settings to the `colour` and `fill` aesthetics at the
-#'   same time, via `aesthetics = c("colour", "fill")`.
-#' @family colour scales
-#'
-#' @name scale_viridis
-NULL
-
-
-
-#' Sequential grey colour scales
-#'
-#' Based on [gray.colors()]. This is black and white equivalent
-#' of [scale_colour_gradient()].
-#'
-#' @inheritParams scales::grey_pal
-#' @inheritParams ggplot2::scale_colour_hue
-#' @inheritDotParams ggplot2::discrete_scale
-#' @family colour scales
-#' @name scale_grey
-NULL