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#' Bars, rectangles with bases on x-axis
#'
#' There are two types of bar charts, determined by what is mapped to bar
#' height. By default, \code{geom_bar} uses \code{stat="count"} which makes the
#' height of the bar proportion to the number of cases in each group (or if the
#' \code{weight} aethetic is supplied, the sum of the weights). If you want the
#' heights of the bars to represent values in the data, use
#' \code{stat="identity"} and map a variable to the \code{y} aesthetic.
#'
#' A bar chart maps the height of the bar to a variable, and so the base of the
#' bar must always be shown to produce a valid visual comparison. This is why it doesn't make sense to use a log-scaled y axis with a
#' bar chart.
#'
#' By default, multiple x's occurring in the same place will be stacked atop one
#' another by \code{\link{position_stack}}. If you want them to be dodged
#' side-to-side, see \code{\link{position_dodge}}. Finally,
#' \code{\link{position_fill}} shows relative proportions at each x by stacking
#' the bars and then stretching or squashing to the same height.
#'
#' @section Aesthetics:
#' \Sexpr[results=rd,stage=build]{animint2:::rd_aesthetics("geom", "bar")}
#'
#' @seealso \code{\link{geom_histogram}} for continuous data,
#' \code{\link{position_dodge}} for creating side-by-side barcharts.
#' @export
#' @inheritParams layer
#' @inheritParams geom_point
#' @param width Bar width. By default, set to 90\% of the resolution of the data.
#' @param binwidth \code{geom_bar} no longer has a binwidth argument - if
#' you use it you'll get an warning telling to you use
#' \code{\link{geom_histogram}} instead.
#' @param geom,stat Override the default connection between \code{geom_bar} and
#' \code{stat_count}.
#' @examples
#' # geom_bar is designed to make it easy to create bar charts that show
#' # counts (or sums of weights)
#' g <- ggplot(mpg, aes(class))
#' # Number of cars in each class:
#' g + geom_bar()
#' # Total engine displacement of each class
#' g + geom_bar(aes(weight = displ))
#'
#' # To show (e.g.) means, you need stat = "identity"
#' df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))
#' ggplot(df, aes(trt, outcome)) +
#' geom_bar(stat = "identity")
#' # But geom_point() display exactly the same information and doesn't
#' # require the y-axis to touch zero.
#' ggplot(df, aes(trt, outcome)) +
#' geom_point()
#'
#' # You can also use geom_bar() with continuous data, in which case
#' # it will show counts at unique locations
#' df <- data.frame(x = rep(c(2.9, 3.1, 4.5), c(5, 10, 4)))
#' ggplot(df, aes(x)) + geom_bar()
#' # cf. a histogram of the same data
#' ggplot(df, aes(x)) + geom_histogram(binwidth = 0.5)
#'
#' \donttest{
#' # Bar charts are automatically stacked when multiple bars are placed
#' # at the same location
#' g + geom_bar(aes(fill = drv))
#'
#' # You can instead dodge, or fill them
#' g + geom_bar(aes(fill = drv), position = "dodge")
#' g + geom_bar(aes(fill = drv), position = "fill")
#'
#' # To change plot order of bars, change levels in underlying factor
#' reorder_size <- function(x) {
#' factor(x, levels = names(sort(table(x))))
#' }
#' ggplot(mpg, aes(reorder_size(class))) + geom_bar()
#' }
geom_bar <- function(mapping = NULL, data = NULL,
stat = "count", position = "stack",
...,
width = NULL,
binwidth = NULL,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
if (!is.null(binwidth)) {
warning("`geom_bar()` no longer has a `binwidth` parameter. ",
"Please use `geom_histogram()` instead.", call. = "FALSE")
return(geom_histogram(mapping = mapping, data = data,
position = position, width = width, binwidth = binwidth, ...,
na.rm = na.rm, show.legend = show.legend, inherit.aes = inherit.aes))
}
layer(
data = data,
mapping = mapping,
stat = stat,
geom = GeomBar,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
width = width,
na.rm = na.rm,
...
)
)
}
#' @rdname animint2-gganimintproto
#' @format NULL
#' @usage NULL
#' @export
#' @include geom-rect.r
GeomBar <- gganimintproto("GeomBar", GeomRect,
required_aes = "x",
setup_data = function(data, params) {
data$width <- data$width %||%
params$width %||% (resolution(data$x, FALSE) * 0.9)
transform(data,
ymin = pmin(y, 0), ymax = pmax(y, 0),
xmin = x - width / 2, xmax = x + width / 2, width = NULL
)
},
draw_panel = function(self, data, panel_scales, coord, width = NULL) {
# Hack to ensure that width is detected as a parameter
gganimintproto_parent(GeomRect, self)$draw_panel(data, panel_scales, coord)
},
pre_process = function(g, g.data, ...) {
is.xy <- names(g.data) %in% c("x", "y")
g.data <- g.data[!is.xy]
g$geom <- "rect"
return(list(g = g, g.data = g.data))
}
)
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