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#' @rdname stat_summary
#' @inheritParams stat_bin
#' @param breaks Alternatively, you can supply a numeric vector giving the bin
#' boundaries. Overrides `binwidth` and `bins`.
#' @export
stat_summary_bin <- function(mapping = NULL, data = NULL,
geom = "pointrange", position = "identity",
...,
fun.data = NULL,
fun = NULL,
fun.max = NULL,
fun.min = NULL,
fun.args = list(),
bins = 30,
binwidth = NULL,
breaks = NULL,
na.rm = FALSE,
orientation = NA,
show.legend = NA,
inherit.aes = TRUE,
fun.y = deprecated(),
fun.ymin = deprecated(),
fun.ymax = deprecated()) {
if (lifecycle::is_present(fun.y)) {
deprecate_warn0("3.3.0", "stat_summary_bin(fun.y)", "stat_summary_bin(fun)")
fun = fun %||% fun.y
}
if (lifecycle::is_present(fun.ymin)) {
deprecate_warn0("3.3.0", "stat_summary_bin(fun.ymin)", "stat_summary_bin(fun.min)")
fun.min = fun.min %||% fun.ymin
}
if (lifecycle::is_present(fun.ymax)) {
deprecate_warn0("3.3.0", "stat_summary_bin(fun.ymax)", "stat_summary_bin(fun.max)")
fun.max = fun.max %||% fun.ymax
}
layer(
data = data,
mapping = mapping,
stat = StatSummaryBin,
geom = geom,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list2(
fun.data = fun.data,
fun = fun,
fun.max = fun.max,
fun.min = fun.min,
fun.args = fun.args,
bins = bins,
binwidth = binwidth,
breaks = breaks,
na.rm = na.rm,
orientation = orientation,
...
)
)
}
#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
StatSummaryBin <- ggproto("StatSummaryBin", Stat,
required_aes = c("x", "y"),
extra_params = c("na.rm", "orientation"),
setup_params = function(data, params) {
params$flipped_aes <- has_flipped_aes(data, params, ambiguous = TRUE)
params
},
compute_group = function(data, scales, fun.data = NULL, fun = NULL,
fun.max = NULL, fun.min = NULL, fun.args = list(),
bins = 30, binwidth = NULL, breaks = NULL,
origin = NULL, right = FALSE, na.rm = FALSE,
flipped_aes = FALSE) {
data <- flip_data(data, flipped_aes)
fun <- make_summary_fun(fun.data, fun, fun.max, fun.min, fun.args)
x <- flipped_names(flipped_aes)$x
breaks <- bin2d_breaks(scales[[x]], breaks, origin, binwidth, bins, right = right)
data$bin <- cut(data$x, breaks, include.lowest = TRUE, labels = FALSE)
out <- dapply(data, "bin", fun)
locs <- bin_loc(breaks, out$bin)
out$x <- locs$mid
out$width <- if (scales[[x]]$is_discrete()) 0.9 else locs$length
out$flipped_aes <- flipped_aes
flip_data(out, flipped_aes)
}
)
make_summary_fun <- function(fun.data, fun, fun.max, fun.min, fun.args) {
force(fun.data)
force(fun)
force(fun.max)
force(fun.min)
force(fun.args)
if (!is.null(fun.data)) {
# Function that takes complete data frame as input
fun.data <- as_function(fun.data)
function(df) {
inject(fun.data(df$y, !!!fun.args))
}
} else if (!is.null(fun) || !is.null(fun.max) || !is.null(fun.min)) {
# Three functions that take vectors as inputs
call_f <- function(fun, x) {
if (is.null(fun)) return(NA_real_)
fun <- as_function(fun)
inject(fun(x, !!!fun.args))
}
function(df, ...) {
data_frame0(
ymin = call_f(fun.min, df$y),
y = call_f(fun, df$y),
ymax = call_f(fun.max, df$y)
)
}
} else {
cli::cli_inform("No summary function supplied, defaulting to {.fn mean_se}")
function(df) {
mean_se(df$y)
}
}
}
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