R/aes-position.r

In duthedd/ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics

#' Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend
#'
#' This page demonstrates the usage of a sub-group
#' of aesthetics; x, y, xmin, xmax, ymin, ymax, xend, and yend.
#'
#' @name aes_position
#' @aliases x y xmin xmax ymin ymax xend yend
#' @examples
#'
#' # Generate data: means and standard errors of means for prices
#' # for each type of cut
#' dmod <- lm(price ~ cut, data = diamonds)
#' cuts <- data.frame(cut = unique(diamonds$cut), predict(dmod, data.frame(cut =
#' unique(diamonds$cut)), se = TRUE)[c("fit", "se.fit")])
#' se <- ggplot(cuts, aes(x = cut, y = fit, ymin = fit - se.fit,
#' ymax = fit + se.fit, colour = cut))
#' se + geom_pointrange()
#'
#' # Using annotate
#' p <- ggplot(mtcars, aes(wt, mpg)) + geom_point()
#' p + annotate("rect", xmin = 2, xmax = 3.5, ymin = 2, ymax = 25,
#'   fill = "dark grey", alpha = .5)
#'
#' # Geom_segment examples
#' p + geom_segment(aes(x = 2, y = 15, xend = 2, yend = 25),
#'   arrow = arrow(length = unit(0.5, "cm")))
#' p + geom_segment(aes(x = 2, y = 15, xend = 3, yend = 15),
#'   arrow = arrow(length = unit(0.5, "cm")))
#' p + geom_segment(aes(x = 5, y = 30, xend = 3.5, yend = 25),
#'   arrow = arrow(length = unit(0.5, "cm")))
#'
#' # You can also use geom_segment to recreate plot(type = "h") :
#' counts <- as.data.frame(table(x = rpois(100, 5)))
#' counts$x <- as.numeric(as.character(counts$x))
#' with(counts, plot(x, Freq, type = "h", lwd = 10))
#'
#' ggplot(counts, aes(x, Freq)) +
#'   geom_segment(aes(yend = 0, xend = x), size = 10)
NULL