aes_position

0th

Percentile

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.

Aliases
  • aes_position
  • x
  • y
  • xmin
  • xmax
  • ymin
  • ymax
  • xend
  • yend
Examples
library(ggplot2) # 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)
Documentation reproduced from package ggplot2, version 2.2.1, License: GPL-2 | file LICENSE

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