R/geom-raster.r

Defines functions geom_raster

Documented in geom_raster

#' @include geom-.r
NULL

#' @export
#' @rdname geom_tile
#' @param hjust,vjust horizontal and vertical justification of the grob.  Each
#'   justification value should be a number between 0 and 1.  Defaults to 0.5
#'   for both, centering each pixel over its data location.
#' @param interpolate If `TRUE` interpolate linearly, if `FALSE`
#'   (the default) don't interpolate.
geom_raster <- function(mapping = NULL, data = NULL,
                        stat = "identity", position = "identity",
                        ...,
                        hjust = 0.5,
                        vjust = 0.5,
                        interpolate = FALSE,
                        na.rm = FALSE,
                        show.legend = NA,
                        inherit.aes = TRUE)
{
  stopifnot(is.numeric(hjust), length(hjust) == 1)
  stopifnot(is.numeric(vjust), length(vjust) == 1)

  layer(
    data = data,
    mapping = mapping,
    stat = stat,
    geom = GeomRaster,
    position = position,
    show.legend = show.legend,
    inherit.aes = inherit.aes,
    params = list(
      hjust = hjust,
      vjust = vjust,
      interpolate = interpolate,
      na.rm = na.rm,
      ...
    )
  )
}

#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
GeomRaster <- ggproto("GeomRaster", Geom,
  default_aes = aes(fill = "grey20", alpha = NA),
  non_missing_aes = "fill",
  required_aes = c("x", "y"),

  setup_data = function(data, params) {
    hjust <- params$hjust %||% 0.5
    vjust <- params$vjust %||% 0.5

    w <- resolution(data$x, FALSE)
    h <- resolution(data$y, FALSE)

    data$xmin <- data$x - w * (1 - hjust)
    data$xmax <- data$x + w * hjust
    data$ymin <- data$y - h * (1 - vjust)
    data$ymax <- data$y + h * vjust
    data
  },

  draw_panel = function(data, panel_params, coord, interpolate = FALSE,
                        hjust = 0.5, vjust = 0.5) {
    if (!inherits(coord, "CoordCartesian")) {
      stop("geom_raster only works with Cartesian coordinates", call. = FALSE)
    }
    data <- coord$transform(data, panel_params)

    # Convert vector of data to raster
    x_pos <- as.integer((data$x - min(data$x)) / resolution(data$x, FALSE))
    y_pos <- as.integer((data$y - min(data$y)) / resolution(data$y, FALSE))

    nrow <- max(y_pos) + 1
    ncol <- max(x_pos) + 1

    raster <- matrix(NA_character_, nrow = nrow, ncol = ncol)
    raster[cbind(nrow - y_pos, x_pos + 1)] <- alpha(data$fill, data$alpha)

    # Figure out dimensions of raster on plot
    x_rng <- c(min(data$xmin, na.rm = TRUE), max(data$xmax, na.rm = TRUE))
    y_rng <- c(min(data$ymin, na.rm = TRUE), max(data$ymax, na.rm = TRUE))

    rasterGrob(raster,
      x = mean(x_rng), y = mean(y_rng),
      width = diff(x_rng), height = diff(y_rng),
      default.units = "native", interpolate = interpolate
    )
  },
  draw_key = draw_key_rect
)

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ggplot2 documentation built on July 5, 2018, 1:04 a.m.