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67 lines
2.4 KiB
67 lines
2.4 KiB
8 years ago
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#' Labels position for stack position.
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#'
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#' Computes position of labels when using \code{position = "stack"}
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#'
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#' @inheritParams ggplot2::stat_count
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#' @param geom Use to override the default connection between
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#' \code{geom_text} and \code{stat_stack_labels}.
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#' @section Computed variables:
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#' \describe{
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#' \item{count}{the number of observations}
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#' \item{cumcount}{the cumulative number of observations}
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#' \item{ylabel}{the y position of labels, i.e. \eqn{cumcount - count / 2}}
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#' }
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#' @seealso \code{\link{stat_fill_labels}} for \code{position = "fill"}.
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#' @examples
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#' ggplot(as.data.frame(Titanic)) +
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#' aes(x = Class, fill = Survived, weight = Freq) +
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#' geom_bar() + stat_stack_labels()
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#' ggplot(as.data.frame(Titanic)) +
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#' aes(x = Class, fill = Survived, weight = Freq) +
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#' geom_bar() + geom_label(stat = "stack_labels")
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#' ggplot(as.data.frame(Titanic)) +
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#' aes(x = Class, fill = Survived, weight = Freq) +
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#' geom_bar() + stat_stack_labels() + facet_grid(~Sex)
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#' ggplot(as.data.frame(Titanic)) +
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#' aes(x = as.integer(Class), fill = Survived, weight = Freq) +
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#' geom_area(stat = "count") + stat_stack_labels()
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#' @export
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stat_stack_labels <- function(mapping = NULL, data = NULL, geom = "text",
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position = "identity", width = NULL, na.rm = FALSE, show.legend = NA,
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inherit.aes = TRUE, ...) {
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layer(
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stat = StatStackLabels, data = data, mapping = mapping, geom = geom,
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position = position, show.legend = show.legend, inherit.aes = inherit.aes,
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params = list(na.rm = na.rm, ...)
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)
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}
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#' @export
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StatStackLabels <- ggproto(
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"StatStackLabels",
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StatCount,
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compute_panel = function (self, data, scales, ...) {
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if (ggplot2:::empty(data))
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return(data.frame())
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groups <- split(data, data$group)
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stats <- lapply(groups, function(group) {
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self$compute_group(data = group, scales = scales, ...)
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})
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stats <- mapply(function(new, old) {
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if (ggplot2:::empty(new))
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return(data.frame())
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unique <- ggplot2:::uniquecols(old)
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missing <- !(names(unique) %in% names(new))
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cbind(new, unique[rep(1, nrow(new)), missing, drop = FALSE])
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}, stats, groups, SIMPLIFY = FALSE)
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data <- do.call(plyr::rbind.fill, stats)
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plyr::ddply(
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data, "x", plyr::mutate,
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cumcount = cumsum(count),
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ylabel = cumsum(count) - count / 2,
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na.rm = TRUE
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)
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},
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default_aes = aes(y = ..ylabel.., label = ..count..)
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)
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