Sanitise bin calculations

DESCRIPTION

@@ -242,6 +242,7 @@ Collate:
     'scales-.R'
     'stat-align.R'
     'stat-bin.R'
+    'stat-summary-2d.R'
     'stat-bin2d.R'
     'stat-bindot.R'
     'stat-binhex.R'
@@ -263,7 +264,6 @@ Collate:
     'stat-smooth-methods.R'
     'stat-smooth.R'
     'stat-sum.R'
-    'stat-summary-2d.R'
     'stat-summary-bin.R'
     'stat-summary-hex.R'
     'stat-summary.R'

NEWS.md

@@ -254,7 +254,7 @@
 * The ellipsis argument is now checked in `fortify()`, `get_alt_text()`, 
   `labs()` and several guides (@teunbrand, #3196).
 * `stat_summary_bin()` no longer ignores `width` parameter (@teunbrand, #4647).
-* Added `keep.zeroes` argument to `stat_bin()` (@teunbrand, #3449)
+* Reintroduced `drop` argument to `stat_bin()` (@teunbrand, #3449)
 * (internal) removed barriers for using 2D structures as aesthetics 
   (@teunbrand, #4189).
 * `coord_sf()` no longer errors when dealing with empty graticules (@teunbrand, #6052)
@@ -272,6 +272,10 @@
 * Stricter check on `register_theme_elements(element_tree)` (@teunbrand, #6162)
 * Added `weight` aesthetic for `stat_ellipse()` (@teunbrand, #5272)
 * Fixed a bug where the `guide_custom(order)` wasn't working (@teunbrand, #6195)
+* All binning stats now use the `boundary`/`center` parametrisation rather
+  than `origin`, following in `stat_bin()`'s footsteps (@teunbrand).
+* `stat_summary_2d()` and `stat_bin_2d()` now deal with zero-range data
+  more elegantly (@teunbrand, #6207).
 
 # ggplot2 3.5.1
 

R/bin.R

@@ -54,19 +54,12 @@
 
 bin_breaks_width <- function(x_range, width = NULL, center = NULL,
                              boundary = NULL, closed = c("right", "left")) {
-  check_length(x_range, 2L)
 
-  # binwidth seems to be the argument name supplied to width. (stat-bin and stat-bindot)
-  check_number_decimal(width, min = 0, allow_infinite = FALSE, arg = "binwidth")
-
-  if (!is.null(boundary) && !is.null(center)) {
-    cli::cli_abort("Only one of {.arg boundary} and {.arg center} may be specified.")
-  } else if (is.null(boundary)) {
+  if (is.null(boundary)) {
     if (is.null(center)) {
       # If neither edge nor center given, compute both using tile layer's
       # algorithm. This puts min and max of data in outer half of their bins.
       boundary <- width / 2
-
     } else {
       # If center given but not boundary, compute boundary.
       boundary <- center - width / 2
@@ -75,9 +68,6 @@
 
   # Find the left side of left-most bin: inputs could be Dates or POSIXct, so
   # coerce to numeric first.
-  x_range <- as.numeric(x_range)
-  width <- as.numeric(width)
-  boundary <- as.numeric(boundary)
   shift <- floor((x_range[1] - boundary) / width)
   origin <- boundary + shift * width
 
@@ -104,9 +94,7 @@
 
 bin_breaks_bins <- function(x_range, bins = 30, center = NULL,
                             boundary = NULL, closed = c("right", "left")) {
-  check_length(x_range, 2L)
 
-  check_number_whole(bins, min = 1)
   if (zero_range(x_range)) {
     # 0.1 is the same width as the expansion `default_expansion()` gives for 0-width data
     width <- 0.1
@@ -128,6 +116,56 @@
 
 # Compute bins ------------------------------------------------------------
 
+compute_bins <- function(x, scale = NULL, breaks = NULL, binwidth = NULL, bins = NULL,
+                         center = NULL, boundary = NULL,
+                         closed = c("right", "left")) {
+
+  range <- if (is.scale(scale)) scale$dimension() else range(x)
+  check_length(range, 2L)
+
+  if (!is.null(breaks)) {
+    breaks <- allow_lambda(breaks)
+    if (is.function(breaks)) {
+      breaks <- breaks(x)
+    }
+    if (is.scale(scale) && !scale$is_discrete()) {
+      breaks <- scale$transform(breaks)
+    }
+    check_numeric(breaks)
+    bins <- bin_breaks(breaks, closed)
+    return(bins)
+  }
+
+  check_number_decimal(boundary, allow_infinite = FALSE, allow_null = TRUE)
+  check_number_decimal(center, allow_infinite = FALSE, allow_null = TRUE)
+  if (!is.null(boundary) && !is.null(center)) {
+    cli::cli_abort("Only one of {.arg boundary} and {.arg center} may be specified.")
+  }
+
+  if (!is.null(binwidth)) {
+    binwidth <- allow_lambda(binwidth)
+    if (is.function(binwidth)) {
+      binwidth <- binwidth(x)
+    }
+    check_number_decimal(binwidth, min = 0, allow_infinite = FALSE)
+    bins <- bin_breaks_width(
+      range, binwidth,
+      center = center, boundary = boundary, closed = closed
+    )
+    return(bins)
+  }
+
+  bins <- allow_lambda(bins)
+  if (is.function(bins)) {
+    bins <- bins(x)
+  }
+  check_number_whole(bins, min = 1, allow_infinite = FALSE)
+  bin_breaks_bins(
+    range, bins,
+    center = center, boundary = boundary, closed = closed
+  )
+}
+
 bin_vector <- function(x, bins, weight = NULL, pad = FALSE) {
   check_object(bins, is_bins, "a {.cls ggplot2_bins} object")
 
@@ -141,8 +179,7 @@
     weight[is.na(weight)] <- 0
   }
 
-  bin_idx <- cut(x, bins$fuzzy, right = bins$right_closed,
-    include.lowest = TRUE)
+  bin_idx <- bin_cut(x, bins)
   bin_count <- as.numeric(tapply(weight, bin_idx, sum, na.rm = TRUE))
   bin_count[is.na(bin_count)] <- 0
 
@@ -170,6 +207,10 @@
   bin_out(bin_count, bin_x, bin_widths)
 }
 
+bin_cut <- function(x, bins) {
+  cut(x, bins$fuzzy, right = bins$right_closed, include.lowest = TRUE)
+}
+
 bin_out <- function(count = integer(0), x = numeric(0), width = numeric(0),
   xmin = x - width / 2, xmax = x + width / 2) {
   density <- count / width / sum(abs(count))
@@ -186,3 +227,41 @@
     .size = length(count)
   )
 }
+
+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]
+  )
+}
+
+fix_bin_params = function(params, fun, version) {
+
+  if (!is.null(params$origin)) {
+    args <- paste0(fun, c("(origin)", "(boundary)"))
+    deprecate_warn0(version, args[1], args[2])
+    params$boudnary <- params$origin
+    params$origin <- NULL
+  }
+
+  if (!is.null(params$right)) {
+    args <- paste0(fun, c("(right)", "(closed)"))
+    deprecate_warn0(version, args[1], args[2])
+    params$closed <- if (isTRUE(params$right)) "right" else "left"
+    params$right <- NULL
+  }
+
+  if (is.null(params$breaks %||% params$binwidth %||% params$bins)) {
+    cli::cli_inform(
+      "{.fn {fun}} using {.code bins = 30}. Pick better value {.arg binwidth}."
+    )
+    params$bins <- 30
+  }
+
+  params
+}

R/geom-bin2d.R

@@ -25,7 +25,7 @@ NULL
 #' # You can control the size of the bins by specifying the number of
 #' # bins in each direction:
 #' d + geom_bin_2d(bins = 10)
-#' d + geom_bin_2d(bins = 30)
+#' d + geom_bin_2d(bins = list(x = 30, y = 10))
 #'
 #' # Or by specifying the width of the bins
 #' d + geom_bin_2d(binwidth = c(0.1, 0.1))

R/stat-bin.R

@@ -26,10 +26,11 @@
 #'   or left edges of bins are included in the bin.
 #' @param pad If `TRUE`, adds empty bins at either end of x. This ensures
 #'   frequency polygons touch 0. Defaults to `FALSE`.
-#' @param keep.zeroes Treatment of zero count bins. If `"all"` (default), such
+#' @param drop Treatment of zero count bins. If `"all"` (default), such
 #'   bins are kept as-is. If `"none"`, all zero count bins are filtered out.
 #'   If `"inner"` only zero count bins at the flanks are filtered out, but not
-#'   in the middle.
+#'   in the middle. `TRUE` is shorthand for `"all"` and `FALSE` is shorthand
+#'   for `"none"`.
 #' @eval rd_computed_vars(
 #'   count    = "number of points in bin.",
 #'   density  = "density of points in bin, scaled to integrate to 1.",
@@ -59,7 +60,7 @@ stat_bin <- function(mapping = NULL, data = NULL,
                      closed = c("right", "left"),
                      pad = FALSE,
                      na.rm = FALSE,
-                     keep.zeroes = "all",
+                     drop = "all",
                      orientation = NA,
                      show.legend = NA,
                      inherit.aes = TRUE) {
@@ -82,7 +83,7 @@ stat_bin <- function(mapping = NULL, data = NULL,
       pad = pad,
       na.rm = na.rm,
       orientation = orientation,
-      keep.zeroes = keep.zeroes,
+      drop = drop,
       ...
     )
   )
@@ -95,9 +96,13 @@ stat_bin <- function(mapping = NULL, data = NULL,
 StatBin <- ggproto("StatBin", Stat,
   setup_params = function(self, data, params) {
     params$flipped_aes <- has_flipped_aes(data, params, main_is_orthogonal = FALSE)
-    params$keep.zeroes <- arg_match0(
-      params$keep.zeroes %||% "all",
-      c("all", "none", "inner"), arg_nm = "keep.zeroes"
+
+    if (is.logical(params$drop)) {
+      params$drop <- if (isTRUE(params$drop)) "all" else "none"
+    }
+    params$drop <- arg_match0(
+      params$drop %||% "all",
+      c("all", "none", "inner"), arg_nm = "drop"
     )
 
     has_x <- !(is.null(data$x) && is.null(params$x))
@@ -118,29 +123,7 @@ StatBin <- ggproto("StatBin", Stat,
       ))
     }
 
-    if (!is.null(params$drop)) {
-      deprecate_warn0("2.1.0", "stat_bin(drop)", "stat_bin(pad)")
-      params$drop <- NULL
-    }
-    if (!is.null(params$origin)) {
-      deprecate_warn0("2.1.0", "stat_bin(origin)", "stat_bin(boundary)")
-      params$boundary <- params$origin
-      params$origin <- NULL
-    }
-    if (!is.null(params$right)) {
-      deprecate_warn0("2.1.0", "stat_bin(right)", "stat_bin(closed)")
-      params$closed <- if (params$right) "right" else "left"
-      params$right <- NULL
-    }
-    if (!is.null(params$boundary) && !is.null(params$center)) {
-      cli::cli_abort("Only one of {.arg boundary} and {.arg center} may be specified in {.fn {snake_class(self)}}.")
-    }
-
-    if (is.null(params$breaks) && is.null(params$binwidth) && is.null(params$bins)) {
-      cli::cli_inform("{.fn {snake_class(self)}} using {.code bins = 30}. Pick better value with {.arg binwidth}.")
-      params$bins <- 30
-    }
-
+    params <- fix_bin_params(params, fun = snake_class(self), version = "2.1.0")
     params
   },
 
@@ -149,33 +132,20 @@ StatBin <- ggproto("StatBin", Stat,
   compute_group = function(data, scales, binwidth = NULL, bins = NULL,
                            center = NULL, boundary = NULL,
                            closed = c("right", "left"), pad = FALSE,
-                           breaks = NULL, flipped_aes = FALSE, keep.zeroes = "all",
+                           breaks = NULL, flipped_aes = FALSE, drop = "all",
                            # The following arguments are not used, but must
                            # be listed so parameters are computed correctly
-                           origin = NULL, right = NULL, drop = NULL) {
+                           origin = NULL, right = NULL) {
     x <- flipped_names(flipped_aes)$x
-    if (!is.null(breaks)) {
-      if (is.function(breaks)) {
-        breaks <- breaks(data[[x]])
-      }
-      if (!scales[[x]]$is_discrete()) {
-         breaks <- scales[[x]]$transform(breaks)
-      }
-      bins <- bin_breaks(breaks, closed)
-    } else if (!is.null(binwidth)) {
-      if (is.function(binwidth)) {
-        binwidth <- binwidth(data[[x]])
-      }
-      bins <- bin_breaks_width(scales[[x]]$dimension(), binwidth,
-        center = center, boundary = boundary, closed = closed)
-    } else {
-      bins <- bin_breaks_bins(scales[[x]]$dimension(), bins, center = center,
-        boundary = boundary, closed = closed)
-    }
+    bins <- compute_bins(
+      data[[x]], scales[[x]],
+      breaks = breaks, binwidth = binwidth, bins = bins,
+      center = center, boundary = boundary, closed = closed
+    )
     bins <- bin_vector(data[[x]], bins, weight = data$weight, pad = pad)
 
     keep <- switch(
-      keep.zeroes,
+      drop,
       none  = bins$count != 0,
       inner = inner_runs(bins$count != 0),
       TRUE