R/geom_dag.R

In ggdag: Analyze and Create Elegant Directed Acyclic Graphs

#' DAG Nodes
#'
#' `geom_dag_node` and `geom_dag_point` are very similar to
#' [ggplot2::geom_point] but with a few defaults changed. `geom_dag_node` is
#' slightly stylized and includes an internal white circle, while
#' `geom_dag_point` plots a single point.
#'
#' @export
#'
#' @inheritParams ggplot2::geom_point
#'
#' @section Aesthetics: `geom_dag_node` and `geom_dag_point` understand the
#'   following aesthetics (required aesthetics are in bold):
#'
#'   - **x**
#'   - **y**
#'   - alpha
#'   - colour
#'   - fill
#'   - shape
#'   - size
#'   - stroke
#'   - filter
#'
#'   `geom_dag_node` also accepts:
#'
#'   - internal_colour
#'
#' @examples
#' library(ggplot2)
#' g <- dagify(m ~ x + y, y ~ x)
#' p <- g %>%
#'   tidy_dagitty() %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_edges() +
#'   theme_dag()
#'
#' p +
#'   geom_dag_node() +
#'   geom_dag_text()
#'
#' p +
#'   geom_dag_point() +
#'   geom_dag_text()
#' @rdname node_point
#' @name Nodes
geom_dag_node <- function(mapping = NULL, data = NULL,
                          position = "identity",
                          ...,
                          na.rm = FALSE,
                          show.legend = NA,
                          inherit.aes = TRUE) {
  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodes,
    geom = GeomDagNode,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      na.rm = na.rm,
      ...
    )
  )
}

#' @export
#' @rdname node_point
geom_dag_point <- function(mapping = NULL, data = NULL,
                           position = "identity",
                           ...,
                           na.rm = FALSE,
                           show.legend = NA,
                           inherit.aes = TRUE) {
  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodes,
    geom = GeomDagPoint,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      na.rm = na.rm,
      ...
    )
  )
}

#' Node text
#'
#' @inheritParams ggplot2::geom_text
#'
#' @section Aesthetics:
#' `geom_dag_text` understand the following aesthetics (required aesthetics are in bold):
#'
#' - **x**
#' - **y**
#' - **label**
#' - alpha
#' - angle
#' - colour
#' - family
#' - fontface
#' - group
#' - hjust
#' - lineheight
#' - size
#' - vjust
#'
#' @export
#'
#' @examples
#' library(ggplot2)
#' g <- dagify(m ~ x + y, y ~ x)
#' g %>%
#'   tidy_dagitty() %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_point() +
#'   geom_dag_edges() +
#'   geom_dag_text() +
#'   theme_dag()
geom_dag_text <- function(mapping = NULL, data = NULL,
                          stat = "identity", position = "identity",
                          ...,
                          parse = FALSE,
                          nudge_x = 0,
                          nudge_y = 0,
                          check_overlap = FALSE,
                          na.rm = FALSE,
                          show.legend = NA,
                          inherit.aes = TRUE) {
  if (!missing(nudge_x) || !missing(nudge_y)) {
    if (!missing(position)) {
      stop("Specify either `position` or `nudge_x`/`nudge_y`", call. = FALSE)
    }

    position <- ggplot2::position_nudge(nudge_x, nudge_y)
  }

  if (is.null(mapping)) mapping <- ggplot2::aes(label = name)
  if (is.null(mapping$label)) mapping$label <- substitute(name)

  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodes,
    geom = GeomDagText,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      parse = parse,
      check_overlap = check_overlap,
      na.rm = na.rm,
      ...
    )
  )
}

#' Node text labels
#'
#' @inheritParams ggplot2::geom_label
#'
#' @section Aesthetics:
#' `geom_dag_label` understand the following aesthetics (required aesthetics are in bold):
#'
#' - **x**
#' - **y**
#' - **label**
#' - alpha
#' - angle
#' - colour
#' - family
#' - fontface
#' - group
#' - hjust
#' - lineheight
#' - size
#' - vjust
#'
#' @export
#'
#' @examples
#' library(ggplot2)
#' library(ggraph)
#' g <- dagify(m ~ x + y, y ~ x)
#'
#' ggdag(g, text = FALSE) + geom_dag_label()
#'
#' g %>%
#'   tidy_dagitty() %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_edges(aes(
#'     start_cap = label_rect(name, padding = margin(2.5, 2.5, 2.5, 2.5, "mm")),
#'     end_cap = label_rect(name, padding = margin(2.5, 2.5, 2.5, 2.5, "mm"))
#'   )) +
#'   geom_dag_label(size = 5, fill = "black", color = "white") +
#'   theme_dag()
geom_dag_label <- function(mapping = NULL, data = NULL,
                          stat = "identity", position = "identity",
                          ...,
                          parse = FALSE,
                          nudge_x = 0,
                          nudge_y = 0,
                          check_overlap = FALSE,
                          na.rm = FALSE,
                          show.legend = NA,
                          inherit.aes = TRUE) {
  if (!missing(nudge_x) || !missing(nudge_y)) {
    if (!missing(position)) {
      stop("Specify either `position` or `nudge_x`/`nudge_y`", call. = FALSE)
    }

    position <- ggplot2::position_nudge(nudge_x, nudge_y)
  }

  if (is.null(mapping)) mapping <- ggplot2::aes(label = name)
  if (is.null(mapping$label)) mapping$label <- substitute(name)

  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodes,
    geom = ggplot2::GeomLabel,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      parse = parse,
      na.rm = na.rm,
      ...
    )
  )
}

#' Repulsive textual annotations
#'
#' These functions are minor modifications of those in the `ggrepel`
#' package. geom_dag_text_repel adds text directly to the plot.
#' geom_dag_label_repel draws a rectangle underneath the text, making it easier
#' to read. The text labels repel away from each other and away from the data
#' points.
#'
#' @inheritParams ggrepel::geom_text_repel
#' @inheritParams ggrepel::geom_label_repel
#' @param fontface A character vector. Default is "bold"
#' @param segment.color,segment.size See [ggrepel::geom_text_repel()]
#'
#' @importFrom purrr %||%
#' @export
#'
#' @examples
#' library(ggplot2)
#' g <- dagify(m ~ x + y,
#'   y ~ x,
#'   exposure = "x",
#'   outcome = "y",
#'   latent = "m",
#'   labels = c("x" = "Exposure", "y" = "Outcome", "m" = "Collider")
#' )
#'
#' g %>%
#'   tidy_dagitty() %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_edges() +
#'   geom_dag_point() +
#'   geom_dag_text_repel(aes(label = name), show.legend = FALSE) +
#'   theme_dag()
#'
#' g %>%
#'   tidy_dagitty() %>%
#'   dag_label(labels = c(
#'     "x" = "This is the exposure",
#'     "y" = "Here's the outcome",
#'     "m" = "Here is where they collide"
#'   )) %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_edges() +
#'   geom_dag_point() +
#'   geom_dag_text() +
#'   geom_dag_label_repel(aes(label = label, fill = label),
#'     col = "white", show.legend = FALSE
#'   ) +
#'   theme_dag()
#'
#' @rdname repel
#' @name ggrepel functions
geom_dag_text_repel <- function(mapping = NULL,
                                data = NULL,
                                parse = FALSE,
                                ...,
                                box.padding = 0.35,
                                point.padding = 1.5,
                                segment.color = "#666666",
                                fontface = "bold",
                                segment.size = 0.5,
                                arrow = NULL,
                                force = 1,
                                max.iter = 2000,
                                nudge_x = 0,
                                nudge_y = 0,
                                na.rm = FALSE,
                                show.legend = NA,
                                inherit.aes = TRUE) {
  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodesRepel,
    geom = ggrepel::GeomTextRepel,
    position = "identity",
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      parse = parse,
      na.rm = na.rm,
      box.padding = box.padding,
      point.padding = point.padding,
      segment.colour = segment.color %||% segment.colour,
      segment.size = segment.size,
      fontface = fontface,
      arrow = arrow,
      force = force,
      max.iter = max.iter,
      nudge_x = nudge_x,
      nudge_y = nudge_y,
      ...
    )
  )
}

#' @rdname repel
#' @export
#'
#' @importFrom purrr %||%
geom_dag_label_repel <- function(mapping = NULL, data = NULL,
                                 parse = FALSE,
                                 ...,
                                 box.padding = grid::unit(0.35, "lines"),
                                 label.padding = grid::unit(0.25, "lines"),
                                 point.padding = grid::unit(1.5, "lines"),
                                 label.r = grid::unit(0.15, "lines"),
                                 label.size = 0.25,
                                 segment.color = "grey50",
                                 segment.size = 0.5,
                                 arrow = NULL,
                                 force = 1,
                                 max.iter = 2000,
                                 nudge_x = 0,
                                 nudge_y = 0,
                                 na.rm = FALSE,
                                 show.legend = NA,
                                 inherit.aes = TRUE) {
  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = StatNodesRepel,
    geom = ggrepel::GeomLabelRepel,
    position = "identity",
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      parse = parse,
      box.padding = box.padding,
      label.padding = label.padding,
      point.padding = point.padding,
      label.r = label.r,
      label.size = label.size,
      segment.colour = segment.color %||% segment.colour,
      segment.size = segment.size,
      arrow = arrow,
      na.rm = na.rm,
      force = force,
      max.iter = max.iter,
      nudge_x = nudge_x,
      nudge_y = nudge_y,
      ...
    )
  )
}

filter_direction <- function(.direction) {
  function(x) {
    x <- dplyr::filter(x, direction == .direction)
    if ("collider_line" %in% names(x)) x <- dplyr::filter(x, !collider_line)

    x
  }
}

#' Directed and bidirected DAG edges
#'
#' @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_directed,data_bidirected 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.
#' @param curvature The bend of the curve. 1 approximates a halfcircle while 0
#'   will give a straight line. Negative number will change the direction of the
#'   curve. Only used if layout circular = FALSE.
#' @param arrow_directed,arrow_bidirected specification for arrow heads, as
#'   created by arrow()
#' @param position Position adjustment, either as a string, or the result of a
#'   call to a position adjustment function.
#' @param na.rm If FALSE (the default), removes missing values with a warning.
#'   If TRUE silently removes missing values
#' @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().
#' @param fold Logical. Should arcs appear on the same side of the nodes despite
#'   different directions. Default to FALSE.
#' @param ... Other arguments passed to ggraph::geom_edge_*()
#'
#' @section Aesthetics:
#' `geom_dag_edges` understand the following aesthetics. Bold aesthetics are
#' required.
#'
#' - **x**
#' - **y**
#' - **xend**
#' - **yend**
#' - edge_colour
#' - edge_width
#' - edge_linetype
#' - edge_alpha
#' - start_cap
#' - end_cap
#' - label
#' - label_pos
#' - label_size
#' - angle
#' - hjust
#' - vjust
#' - family
#' - fontface
#' - lineheight
#'
#' `geom_dag_edges` also uses `geom_dag_edges_arc`, which requires the
#' **circular** aesthetic, but this is automatically set.
#'
#' @export
#'
#' @examples
#' library(ggplot2)
#' dagify(
#'   y ~ x + z2 + w2 + w1,
#'   x ~ z1 + w1,
#'   z1 ~ w1 + v,
#'   z2 ~ w2 + v,
#'   w1 ~ ~w2
#' ) %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_edges() +
#'   geom_dag_point() +
#'   geom_dag_text() +
#'   theme_dag()
#'
geom_dag_edges <- function(mapping = NULL,
                           data_directed = filter_direction("->"),
                           data_bidirected = filter_direction("<->"),
                           curvature = 0.3,
                           arrow_directed = grid::arrow(length = grid::unit(5, "pt"), type = "closed"),
                           arrow_bidirected = grid::arrow(length = grid::unit(5, "pt"), ends = "both", type = "closed"),
                           position = "identity", na.rm = TRUE, show.legend = NA, inherit.aes = TRUE, fold = FALSE,
                           ...) {
  list(
    geom_dag_edges_link(mapping,
      data = data_directed, arrow = arrow_directed,
      position = position, na.rm = na.rm,
      show.legend = show.legend, inherit.aes = inherit.aes,
      ...
    ),
    geom_dag_edges_arc(mapping,
      data = data_bidirected, arrow = arrow_bidirected,
      curvature = curvature, position = position,
      na.rm = na.rm, show.legend = show.legend,
      inherit.aes = inherit.aes, fold = fold,
      ...
    )
  )
}

#' Directed DAG edges
#'
#' @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.
#' @param curvature The bend of the curve. 1 approximates a halfcircle while 0
#'   will give a straight line. Negative number will change the direction of the
#'   curve. Only used if layout circular = FALSE.
#' @param arrow specification for arrow heads, as created by arrow()
#' @param position Position adjustment, either as a string, or the result of a
#'   call to a position adjustment function.
#' @param na.rm If FALSE (the default), removes missing values with a warning.
#'   If TRUE silently removes missing values
#' @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().
#' @param fold Logical. Should arcs appear on the same side of the nodes despite
#'   different directions. Default to FALSE.
#' @param ... Other arguments passed to ggraph::geom_edge_*()
#'
#' @section Aesthetics:
#' `geom_dag_edges_link`, `geom_dag_edges_arc`, `geom_dag_edges_diagonal`, and
#' `geom_dag_edges_fan` understand the following aesthetics. Bold aesthetics are
#' required.
#'
#' - **x**
#' - **y**
#' - **xend**
#' - **yend**
#' - edge_colour
#' - edge_width
#' - edge_linetype
#' - edge_alpha
#' - start_cap
#' - end_cap
#' - label
#' - label_pos
#' - label_size
#' - angle
#' - hjust
#' - vjust
#' - family
#' - fontface
#' - lineheight
#'
#' `geom_dag_edges_arc` and `geom_dag_edges_diagonal` also require
#' **circular**, but this is automatically set.
#'
#' `geom_dag_edges_fan` requires **to** and **from**, but these are also
#' automatically set.
#'
#' @export
#'
#' @examples
#' library(ggplot2)
#' p <- dagify(
#'   y ~ x + z2 + w2 + w1,
#'   x ~ z1 + w1,
#'   z1 ~ w1 + v,
#'   z2 ~ w2 + v,
#'   L ~ w1 + w2
#' ) %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend)) +
#'   geom_dag_point() +
#'   geom_dag_text() +
#'   theme_dag()
#'
#' p + geom_dag_edges_link()
#' p + geom_dag_edges_arc()
#' p + geom_dag_edges_diagonal()
#' p + geom_dag_edges_fan()
#'
#' @rdname geom_dag_edge_functions
#' @name DAG Edges
geom_dag_edges_link <- function(mapping = NULL, data = NULL,
                                arrow = grid::arrow(length = grid::unit(5, "pt"), type = "closed"),
                                position = "identity", na.rm = TRUE, show.legend = NA,
                                inherit.aes = TRUE, ...) {
  ggplot2::layer(
    mapping = mapping,
    geom = GeomDAGEdgePath,
    data = data,
    stat = StatEdgeLink,
    position = position, show.legend = show.legend, inherit.aes = inherit.aes,
    check.aes = FALSE,
    params = list(arrow = arrow, interpolate = FALSE, na.rm = na.rm, ...)
  )
}

#' @rdname geom_dag_edge_functions
#' @export
geom_dag_edges_arc <- function(mapping = NULL, data = NULL, curvature = .5,
                               arrow = grid::arrow(length = grid::unit(5, "pt"), type = "closed"),
                               position = "identity", na.rm = TRUE, show.legend = NA,
                               inherit.aes = TRUE, fold = FALSE,
                               n = 100, lineend = "butt",
                               linejoin = "round", linemitre = 1,
                               label_colour = "black", label_alpha = 1,
                               label_parse = FALSE, check_overlap = FALSE,
                               angle_calc = "rot", force_flip = TRUE,
                               label_dodge = NULL, label_push = NULL, ...) {
  if (is.null(mapping)) {
    mapping <- ggplot2::aes(circular = circular)
  } else if (is.null(mapping$circular)) {
    mapping$circular <- substitute(circular)
  }

  ggplot2::layer(
    mapping = mapping,
    geom = GeomDAGEdgePath,
    data = data,
    stat = StatEdgeArc,
    check.aes = FALSE,
    position = position, show.legend = show.legend, inherit.aes = inherit.aes,
    params = list(
      arrow = arrow, strength = curvature,
      interpolate = FALSE, fold = fold, na.rm = na.rm,
      n = n, lineend = lineend,
      linejoin = linejoin, linemitre = linemitre,
      label_colour = label_colour, label_alpha = label_alpha,
      label_parse = label_parse, check_overlap = check_overlap,
      angle_calc = angle_calc, force_flip = force_flip,
      label_dodge = label_dodge, label_push = label_push, ...
    )
  )
}

#' @inheritParams ggraph::geom_edge_diagonal
#'
#' @rdname geom_dag_edge_functions
#' @export
geom_dag_edges_diagonal <- function(mapping = NULL, data = NULL, position = "identity",
                                    arrow = grid::arrow(length = grid::unit(5, "pt"), type = "closed"),
                                    na.rm = TRUE, show.legend = NA, inherit.aes = TRUE,
                                    curvature = 1, n = 100, lineend = "butt",
                                    linejoin = "round", linemitre = 1,
                                    label_colour = "black", label_alpha = 1,
                                    label_parse = FALSE, check_overlap = FALSE,
                                    angle_calc = "rot", force_flip = TRUE,
                                    label_dodge = NULL, label_push = NULL, ...) {
  if (is.null(mapping)) {
    mapping <- ggplot2::aes(circular = circular)
  } else if (is.null(mapping$circular)) {
    mapping$circular <- substitute(circular)
  }

  ggplot2::layer(
    data = data, mapping = mapping, stat = StatEdgeDiagonal,
    geom = GeomDAGEdgePath, position = position, show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      arrow = arrow, na.rm = na.rm, interpolate = FALSE,
      n = n, lineend = lineend, flipped = FALSE, strength = curvature,
      linejoin = linejoin, linemitre = linemitre,
      label_colour = label_colour, label_alpha = label_alpha,
      label_parse = label_parse, check_overlap = check_overlap,
      angle_calc = angle_calc, force_flip = force_flip,
      label_dodge = label_dodge, label_push = label_push, ...
    )
  )
}

#' @inheritParams ggraph::geom_edge_fan
#'
#' @rdname geom_dag_edge_functions
#' @export
geom_dag_edges_fan <- function(mapping = NULL, data = NULL, position = "identity",
                               arrow = grid::arrow(length = grid::unit(5, "pt"), type = "closed"),
                               na.rm = TRUE, show.legend = NA, inherit.aes = TRUE,
                               spread = .7, n = 100, lineend = "butt",
                               linejoin = "round", linemitre = 1,
                               label_colour = "black", label_alpha = 1,
                               label_parse = FALSE, check_overlap = FALSE,
                               angle_calc = "rot", force_flip = TRUE,
                               label_dodge = NULL, label_push = NULL, ...) {
  if (is.null(mapping)) {
    mapping <- ggplot2::aes(from = name, to = to)
  } else if (is.null(mapping$from)) {
    mapping$from <- substitute(name)
    mapping$to <- substitute(to)
  }

  ggplot2::layer(
    data = data, mapping = mapping, stat = StatEdgeFan,
    geom = GeomDAGEdgePath, position = position, show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      arrow = arrow, na.rm = na.rm, interpolate = FALSE,
      n = n, lineend = lineend, strength = spread,
      linejoin = linejoin, linemitre = linemitre,
      label_colour = label_colour, label_alpha = label_alpha,
      label_parse = label_parse, check_overlap = check_overlap,
      angle_calc = angle_calc, force_flip = force_flip,
      label_dodge = label_dodge, label_push = label_push, ...
    )
  )
}


#' Edges for paths activated by stratification on colliders
#'
#' Adjusting for a collider activates pathways between the parent of the
#' collider. This geom adds a curved edge between any such parent nodes.
#'
#' @inheritParams ggplot2::geom_curve
#' @param linewidth a numeric vector of length 1. Edge width
#' @param size deprecated. Please use `linewidth`.
#'
#' @export
#'
#' @examples
#' library(dagitty)
#' library(ggplot2)
#' dagify(m ~ a + b, x ~ a, y ~ b) %>%
#'   tidy_dagitty() %>%
#'   control_for("m") %>%
#'   ggplot(aes(x = x, y = y, xend = xend, yend = yend, shape = adjusted)) +
#'   geom_dag_edges() +
#'   geom_dag_collider_edges() +
#'   geom_dag_point() +
#'   geom_dag_text() +
#'   theme_dag() +
#'   scale_adjusted()
geom_dag_collider_edges <- function(mapping = NULL, data = NULL,
                                    stat = "identity", position = "identity",
                                    ...,
                                    linewidth = .6,
                                    size = NULL,
                                    curvature = 0.5,
                                    angle = 90,
                                    ncp = 5,
                                    arrow = NULL,
                                    lineend = "butt",
                                    na.rm = FALSE,
                                    show.legend = NA,
                                    inherit.aes = TRUE) {
  if (is.null(data)) data <- function(x) dplyr::filter(x, direction == "<->", collider_line)
  if (is.null(mapping)) mapping <- ggplot2::aes(linetype = factor(collider_line, levels = TRUE, "activated by \nadjustment \nfor collider"))
  if (is.null(mapping$linetype)) mapping$linetype <- substitute(factor(collider_line, levels = TRUE, "activated by \nadjustment \nfor collider"))
  if (!is.null(size)) {
    warning("`size` is deprecated for lines. Please use `linewidth`")
    linewidth <- size
  }

  params <- list(
    arrow = arrow,
    curvature = curvature,
    angle = angle,
    ncp = ncp,
    lineend = lineend,
    na.rm = na.rm,
    ...
  )

  if (ggplot2_version() >= "3.3.6.9000") {
    params$linewidth <- linewidth
  } else {
    params$size <- linewidth
  }

  ggplot2::layer(
    data = data,
    mapping = mapping,
    stat = stat,
    geom = ggplot2::GeomCurve,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = params
  )
}

#' Create a new ggplot
#'
#' @inheritParams ggplot2::ggplot
#' @export
#' @rdname ggplot.tidy_dagitty
#' @importFrom ggplot2 ggplot aes
ggplot.tidy_dagitty <- function(data = NULL, mapping = aes(), ...) {
  p <- ggplot2::ggplot(fortify(data), mapping = mapping, ...)

  p <- silence_scales(p)

  p + expand_plot(
    expand_x = expansion(c(.10, .10)),
    expand_y = expansion(c(.10, .10))
  )
}

#' @rdname ggplot.tidy_dagitty
#' @export
ggplot.dagitty <- ggplot.tidy_dagitty