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#' @param bins numeric vector giving number of bins in both vertical and
#' horizontal directions. Set to 30 by default.
#' @param binwidth Numeric vector giving bin width in both vertical and
#' horizontal directions. Overrides `bins` if both set.
#' @param drop if `TRUE` removes all cells with 0 counts.
#' @export
#' @rdname geom_bin2d
#' @section Computed variables:
#' \describe{
#' \item{count}{number of points in bin}
#' \item{density}{density of points in bin, scaled to integrate to 1}
#' \item{ncount}{count, scaled to maximum of 1}
#' \item{ndensity}{density, scaled to maximum of 1}
#' }
stat_bin_2d <- function(mapping = NULL, data = NULL,
geom = "tile", position = "identity",
...,
bins = 30,
binwidth = NULL,
drop = TRUE,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
layer(
data = data,
mapping = mapping,
stat = StatBin2d,
geom = geom,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
bins = bins,
binwidth = binwidth,
drop = drop,
na.rm = na.rm,
...
)
)
}
#' @export
#' @rdname geom_bin2d
#' @usage NULL
stat_bin2d <- stat_bin_2d
#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
StatBin2d <- ggproto("StatBin2d", Stat,
default_aes = aes(fill = after_stat(count)),
required_aes = c("x", "y"),
compute_group = function(data, scales, binwidth = NULL, bins = 30,
breaks = NULL, origin = NULL, drop = TRUE) {
origin <- dual_param(origin, list(NULL, NULL))
binwidth <- dual_param(binwidth, list(NULL, NULL))
breaks <- dual_param(breaks, list(NULL, NULL))
bins <- dual_param(bins, list(x = 30, y = 30))
xbreaks <- bin2d_breaks(scales$x, breaks$x, origin$x, binwidth$x, bins$x)
ybreaks <- bin2d_breaks(scales$y, breaks$y, origin$y, binwidth$y, bins$y)
xbin <- cut(data$x, xbreaks, include.lowest = TRUE, labels = FALSE)
ybin <- cut(data$y, ybreaks, include.lowest = TRUE, labels = FALSE)
if (is.null(data$weight))
data$weight <- 1
out <- tapply_df(data$weight, list(xbin = xbin, ybin = ybin), sum, drop = drop)
xdim <- bin_loc(xbreaks, out$xbin)
out$x <- xdim$mid
out$width <- xdim$length
ydim <- bin_loc(ybreaks, out$ybin)
out$y <- ydim$mid
out$height <- ydim$length
out$count <- out$value
out$ncount <- out$count / max(out$count, na.rm = TRUE)
out$density <- out$count / sum(out$count, na.rm = TRUE)
out$ndensity <- out$density / max(out$density, na.rm = TRUE)
out
}
)
dual_param <- function(x, default = list(x = NULL, y = NULL)) {
if (is.null(x)) {
default
} else if (length(x) == 2) {
if (is.list(x) && !is.null(names(x))) {
x
} else {
list(x = x[[1]], y = x[[2]])
}
} else {
list(x = x, y = x)
}
}
bin2d_breaks <- function(scale, breaks = NULL, origin = NULL, binwidth = NULL,
bins = 30, right = TRUE) {
# Bins for categorical data should take the width of one level,
# and should show up centered over their tick marks. All other parameters
# are ignored.
if (scale$is_discrete()) {
breaks <- scale$get_breaks()
return(-0.5 + seq_len(length(breaks) + 1))
} else {
if (!is.null(breaks)) {
breaks <- scale$transform(breaks)
}
}
if (!is.null(breaks))
return(breaks)
range <- scale$get_limits()
if (is.null(binwidth) || identical(binwidth, NA)) {
binwidth <- diff(range) / bins
}
if (!(is.numeric(binwidth) && length(binwidth) == 1)) abort("`binwidth` must be a numeric scalar")
if (is.null(origin) || identical(origin, NA)) {
origin <- round_any(range[1], binwidth, floor)
}
if (!(is.numeric(origin) && length(origin) == 1)) abort("`origin` must be a numeric scalar")
breaks <- seq(origin, range[2] + binwidth, binwidth)
adjust_breaks(breaks, right)
}
adjust_breaks <- function(x, right = TRUE) {
diddle <- 1e-07 * stats::median(diff(x))
if (right) {
fuzz <- c(-diddle, rep.int(diddle, length(x) - 1))
} else {
fuzz <- c(rep.int(-diddle, length(x) - 1), diddle)
}
sort(x) + fuzz
}
bin_loc <- function(x, id) {
left <- x[-length(x)]
right <- x[-1]
list(
left = left[id],
right = right[id],
mid = ((left + right) / 2)[id],
length = diff(x)[id]
)
}
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