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#' Vertical Positions
#'
#' Vertical versions of \code{\link[ggplot2]{position_dodge}()},
#' \code{\link[ggplot2]{position_jitterdodge}()},
#' \code{\link[ggplot2]{position_fill}()},
#' \code{\link[ggplot2]{position_stack}()},
#' @name position-vertical
#' @inheritParams ggplot2::position_jitterdodge
#' @inheritParams ggplot2::position_nudge
#' @inheritParams ggplot2::position_dodge
#' @param height Dodging height, when different to the height of the individual
#' elements. This is useful when you want to align narrow geoms with taller
#' geoms.
#' @param dodge.height the amount to dodge in the y direction. Defaults to 0.75,
#' the default \code{position_dodgev()} height.
NULL
collidev_setup <- function(data, height = NULL, name, strategy,
check.height = TRUE, reverse = FALSE) {
# Determine height
if (!is.null(height)) {
# Width set manually
if (!(all(c("ymin", "ymax") %in% names(data)))) {
data$ymin <- data$y - height / 2
data$ymax <- data$y + height / 2
}
} else {
if (!(all(c("ymin", "ymax") %in% names(data)))) {
data$ymin <- data$y
data$ymax <- data$y
}
# Width determined from data, must be floating point constant
heights <- unique(data$ymax - data$ymin)
heights <- heights[!is.na(heights)]
# # Suppress warning message since it's not reliable
# if (!zero_range(range(heights))) {
# warning(name, " requires constant height: output may be incorrect",
# call. = FALSE)
# }
height <- heights[1]
}
list(data = data, height = height)
}
collidev <- function(data, height = NULL, name, strategy,
..., check.height = TRUE, reverse = FALSE) {
dlist <- collidev_setup(data, height, name, strategy, check.height, reverse)
data <- dlist$data
height <- dlist$height
# Reorder by x position, then on group. The default stacking order reverses
# the group in order to match the legend order.
if (reverse) {
data <- data[order(data$ymin, data$group), ]
} else {
data <- data[order(data$ymin, -data$group), ]
}
# Check for overlap
intervals <- as.numeric(t(unique(data[c("ymin", "ymax")])))
intervals <- intervals[!is.na(intervals)]
if (length(unique(intervals)) > 1 & any(diff(scale(intervals)) < -1e-6)) {
warning(name, " requires non-overlapping y intervals", call. = FALSE)
# This is where the algorithm from [L. Wilkinson. Dot plots.
# The American Statistician, 1999.] should be used
}
if (!is.null(data$xmax)) {
plyr::ddply(data, "ymin", strategy, ..., height = height)
} else if (!is.null(data$x)) {
data$xmax <- data$x
data <- plyr::ddply(data, "ymin", strategy, ..., height = height)
data$x <- data$xmax
data
} else {
stop("Neither x nor xmax defined")
}
}
# Alternate version of collidev() used by position_dodgev2()
collide2v <- function(data, height = NULL, name, strategy,
..., check.height = TRUE, reverse = FALSE) {
dlist <- collidev_setup(data, height, name, strategy, check.height, reverse)
data <- dlist$data
height <- dlist$height
# Reorder by x position, then on group. The default stacking order is
# different than for collide() because of the order in which pos_dodge2 places
# elements
if (reverse) {
data <- data[order(data$y, -data$group), ]
} else {
data <- data[order(data$y, data$group), ]
}
pos <- match.fun(strategy)
pos(data, height, ...)
}
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