1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/aes-position.r
\name{aes_position}
\alias{aes_position}
\alias{x}
\alias{y}
\alias{xmin}
\alias{xmax}
\alias{ymin}
\alias{ymax}
\alias{xend}
\alias{yend}
\title{Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend}
\description{
The following aesthetics can be used to specify the position of elements:
\code{x}, \code{y}, \code{xmin}, \code{xmax}, \code{ymin}, \code{ymax}, \code{xend}, \code{yend}.
}
\details{
\code{x} and \code{y} define the locations of points or of positions along a line
or path.
\code{x}, \code{y} and \code{xend}, \code{yend} define the starting and ending points of
segment and curve geometries.
\code{xmin}, \code{xmax}, \code{ymin} and \code{ymax} can be used to specify the position of
annotations and to represent rectangular areas.
}
\examples{
# Generate data: means and standard errors of means for prices
# for each type of cut
dmod <- lm(price ~ cut, data = diamonds)
cut <- unique(diamonds$cut)
cuts_df <- data.frame(
cut,
predict(dmod, data.frame(cut), se = TRUE)[c("fit", "se.fit")]
)
ggplot(cuts_df) +
aes(
x = cut,
y = fit,
ymin = fit - se.fit,
ymax = fit + se.fit,
colour = cut
) +
geom_pointrange()
# Using annotate
p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point()
p
p + annotate(
"rect", xmin = 2, xmax = 3.5, ymin = 2, ymax = 25,
fill = "dark grey", alpha = .5
)
# Geom_segment examples
p + geom_segment(
aes(x = 2, y = 15, xend = 2, yend = 25),
arrow = arrow(length = unit(0.5, "cm"))
)
p + geom_segment(
aes(x = 2, y = 15, xend = 3, yend = 15),
arrow = arrow(length = unit(0.5, "cm"))
)
p + geom_segment(
aes(x = 5, y = 30, xend = 3.5, yend = 25),
arrow = arrow(length = unit(0.5, "cm"))
)
# You can also use geom_segment() to recreate plot(type = "h")
# from base R:
set.seed(1)
counts <- as.data.frame(table(x = rpois(100, 5)))
counts$x <- as.numeric(as.character(counts$x))
with(counts, plot(x, Freq, type = "h", lwd = 10))
ggplot(counts, aes(x = x, y = Freq)) +
geom_segment(aes(yend = 0, xend = x), size = 10)
}
\seealso{
\itemize{
\item Geoms that commonly use these aesthetics: \code{\link[=geom_crossbar]{geom_crossbar()}},
\code{\link[=geom_curve]{geom_curve()}}, \code{\link[=geom_errorbar]{geom_errorbar()}}, \code{\link[=geom_line]{geom_line()}}, \code{\link[=geom_linerange]{geom_linerange()}},
\code{\link[=geom_path]{geom_path()}}, \code{\link[=geom_point]{geom_point()}}, \code{\link[=geom_pointrange]{geom_pointrange()}}, \code{\link[=geom_rect]{geom_rect()}},
\code{\link[=geom_segment]{geom_segment()}}
\item See also \code{\link[=annotate]{annotate()}} for placing annotations.
}
}
|