#' Points
#'
#' The point geom is used to create scatterplots. The scatterplot is most
#' useful for displaying the relationship between two continuous variables.
#' It can be used to compare one continuous and one categorical variable, or
#' two categorical variables, but a variation like \code{\link{geom_jitter}},
#' \code{\link{geom_count}}, or \code{\link{geom_bin2d}} is usually more
#' appropriate.
#'
#' The \emph{bubblechart} is a scatterplot with a third variable mapped to
#' the size of points. There are no special names for scatterplots where
#' another variable is mapped to point shape or colour, however.
#'
#' @section Overplotting:
#' The biggest potential problem with a scatterplot is overplotting: whenever
#' you have more than a few points, points may be plotted on top of one
#' another. This can severely distort the visual appearance of the plot.
#' There is no one solution to this problem, but there are some techniques
#' that can help. You can add additional information with
#' \code{\link{geom_smooth}}, \code{\link{geom_quantile}} or
#' \code{\link{geom_density_2d}}. If you have few unique x values,
#' \code{\link{geom_boxplot}} may also be useful.
#'
#' Alternatively, you can
#' summarise the number of points at each location and display that in some
#' way, using \code{\link{geom_count}}, \code{\link{geom_hex}}, or
#' \code{\link{geom_density2d}}.
#'
#' Another technique is to make the points transparent (e.g.
#' \code{geom_point(alpha = 0.05)}) or very small (e.g.
#' \code{geom_point(shape = ".")}).
#'
#' @section Aesthetics:
#' \aesthetics{geom}{point}
#'
#' @inheritParams layer
#' @param na.rm If \code{FALSE}, the default, missing values are removed with
#' a warning. If \code{TRUE}, missing values are silently removed.
#' @param ... other arguments passed on to \code{\link{layer}}. These are
#' often aesthetics, used to set an aesthetic to a fixed value, like
#' \code{color = "red"} or \code{size = 3}. They may also be parameters
#' to the paired geom/stat.
#' @inheritParams layer
#' @export
#' @examples
#' p <- ggplot(mtcars, aes(wt, mpg))
#' p + geom_point()
#'
#' # Add aesthetic mappings
#' p + geom_point(aes(colour = factor(cyl)))
#' p + geom_point(aes(shape = factor(cyl)))
#' p + geom_point(aes(size = qsec))
#'
#' # Change scales
#' p + geom_point(aes(colour = cyl)) + scale_colour_gradient(low = "blue")
#' p + geom_point(aes(shape = factor(cyl))) + scale_shape(solid = FALSE)
#'
#' # Set aesthetics to fixed value
#' ggplot(mtcars, aes(wt, mpg)) + geom_point(colour = "red", size = 3)
#'
#' \donttest{
#' # Varying alpha is useful for large datasets
#' d <- ggplot(diamonds, aes(carat, price))
#' d + geom_point(alpha = 1/10)
#' d + geom_point(alpha = 1/20)
#' d + geom_point(alpha = 1/100)
#' }
#'
#' # For shapes that have a border (like 21), you can colour the inside and
#' # outside separately. Use the stroke aesthetic to modify the width of the
#' # border
#' ggplot(mtcars, aes(wt, mpg)) +
#' geom_point(shape = 21, colour = "black", fill = "white", size = 5, stroke = 5)
#'
#' \donttest{
#' # You can create interesting shapes by layering multiple points of
#' # different sizes
#' p <- ggplot(mtcars, aes(mpg, wt, shape = factor(cyl)))
#' p + geom_point(aes(colour = factor(cyl)), size = 4) +
#' geom_point(colour = "grey90", size = 1.5)
#' p + geom_point(colour = "black", size = 4.5) +
#' geom_point(colour = "pink", size = 4) +
#' geom_point(aes(shape = factor(cyl)))
#'
#' # These extra layers don't usually appear in the legend, but we can
#' # force their inclusion
#' p + geom_point(colour = "black", size = 4.5, show.legend = TRUE) +
#' geom_point(colour = "pink", size = 4, show.legend = TRUE) +
#' geom_point(aes(shape = factor(cyl)))
#'
#' # geom_point warns when missing values have been dropped from the data set
#' # and not plotted, you can turn this off by setting na.rm = TRUE
#' mtcars2 <- transform(mtcars, mpg = ifelse(runif(32) < 0.2, NA, mpg))
#' ggplot(mtcars2, aes(wt, mpg)) + geom_point()
#' ggplot(mtcars2, aes(wt, mpg)) + geom_point(na.rm = TRUE)
#' }
geom_point <- function(mapping = NULL, data = NULL,
stat = "identity", position = "identity",
...,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
layer(
data = data,
mapping = mapping,
stat = stat,
geom = GeomPoint,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
na.rm = na.rm,
...
)
)
}
#' @rdname ggplot2-ggproto
#' @format NULL
#' @usage NULL
#' @export
GeomPoint <- ggproto("GeomPoint", Geom,
required_aes = c("x", "y"),
non_missing_aes = c("size", "shape", "colour"),
default_aes = aes(
shape = 19, colour = "black", size = 1.5, fill = NA,
alpha = NA, stroke = 0.5
),
draw_panel = function(data, panel_params, coord, na.rm = FALSE) {
coords <- coord$transform(data, panel_params)
ggname("geom_point",
pointsGrob(
coords$x, coords$y,
pch = coords$shape,
gp = gpar(
col = alpha(coords$colour, coords$alpha),
fill = alpha(coords$fill, coords$alpha),
# Stroke is added around the outside of the point
fontsize = coords$size * .pt + coords$stroke * .stroke / 2,
lwd = coords$stroke * .stroke / 2
)
)
)
},
draw_key = draw_key_point
)
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