R/geom-polygon.r

In SahaRahul/ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

#' Polygons
#'
#' Polygons are very similar to paths (as drawn by [geom_path()])
#' except that the start and end points are connected and the inside is
#' coloured by `fill`. The `group` aesthetic determines which cases
#' are connected together into a polygon.
#'
#' @eval rd_aesthetics("geom", "polygon")
#' @seealso
#'  [geom_path()] for an unfilled polygon,
#'  [geom_ribbon()] for a polygon anchored on the x-axis
#' @export
#' @inheritParams layer
#' @inheritParams geom_point
#' @examples
#' # When using geom_polygon, you will typically need two data frames:
#' # one contains the coordinates of each polygon (positions),  and the
#' # other the values associated with each polygon (values).  An id
#' # variable links the two together
#'
#' ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3"))
#'
#' values <- data.frame(
#'   id = ids,
#'   value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5)
#' )
#'
#' positions <- data.frame(
#'   id = rep(ids, each = 4),
#'   x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3,
#'   0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3),
#'   y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5,
#'   2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2)
#' )
#'
#' # Currently we need to manually merge the two together
#' datapoly <- merge(values, positions, by = c("id"))
#'
#' p <- ggplot(datapoly, aes(x = x, y = y)) +
#'   geom_polygon(aes(fill = value, group = id))
#' p
#'
#' # Which seems like a lot of work, but then it's easy to add on
#' # other features in this coordinate system, e.g.:
#'
#' stream <- data.frame(
#'   x = cumsum(runif(50, max = 0.1)),
#'   y = cumsum(runif(50,max = 0.1))
#' )
#'
#' p + geom_line(data = stream, colour = "grey30", size = 5)
#'
#' # And if the positions are in longitude and latitude, you can use
#' # coord_map to produce different map projections.
geom_polygon <- function(mapping = NULL, data = NULL,
                         stat = "identity", position = "identity",
                         ...,
                         na.rm = FALSE,
                         show.legend = NA,
                         inherit.aes = TRUE) {
  layer(
    data = data,
    mapping = mapping,
    stat = stat,
    geom = GeomPolygon,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      na.rm = na.rm,
      ...
    )
  )
}

#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
GeomPolygon <- ggproto("GeomPolygon", Geom,
  draw_panel = function(data, panel_params, coord) {
    n <- nrow(data)
    if (n == 1) return(zeroGrob())

    munched <- coord_munch(coord, data, panel_params)
    # Sort by group to make sure that colors, fill, etc. come in same order
    munched <- munched[order(munched$group), ]

    # For gpar(), there is one entry per polygon (not one entry per point).
    # We'll pull the first value from each group, and assume all these values
    # are the same within each group.
    first_idx <- !duplicated(munched$group)
    first_rows <- munched[first_idx, ]

    ggname("geom_polygon",
      polygonGrob(munched$x, munched$y, default.units = "native",
        id = munched$group,
        gp = gpar(
          col = first_rows$colour,
          fill = alpha(first_rows$fill, first_rows$alpha),
          lwd = first_rows$size * .pt,
          lty = first_rows$linetype
        )
      )
    )
  },

  default_aes = aes(colour = "NA", fill = "grey20", size = 0.5, linetype = 1,
    alpha = NA),

  handle_na = function(data, params) {
    data
  },

  required_aes = c("x", "y"),

  draw_key = draw_key_polygon
)