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#' Density Estimate (ggtern version)
#'
#' Perform a 2D kernel density estimatation using kde2d and display the results with contours. This can be
#' useful for dealing with overplotting. Additional weight aesthetic (see aesthetic section below) permits better weighting if desired
#'
#' @section Aesthetics:
#' \Sexpr[results=rd,stage=build]{ggtern:::rd_aesthetics("geom", "density_tern")}
#' @inheritParams ggplot2::geom_point
#' @inheritParams ggplot2::geom_path
#' @inheritParams ggplot2::geom_density2d
#' @examples
#' #Plot Density Estimate, on isometric log ratio transformation of original data
#' data('Feldspar')
#' ggtern(Feldspar,aes(Ab,An,Or)) +
#' geom_density_tern(aes(color=..level..),bins=5) +
#' geom_point()
#'
#' @author Nicholas Hamilton
#' @rdname geom_density_tern
#' @export
geom_density_tern <- function(mapping = NULL, data = NULL, stat='DensityTern', position='identity',
...,
lineend = "butt", linejoin = "round", linemitre = 1,
na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) {
layer(
data = data,
mapping = mapping,
stat = stat,
geom = GeomDensityTern,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
na.rm = na.rm,
lineend = lineend,
linejoin = linejoin,
linemitre = linemitre,
...
)
)
}
#' @rdname geom_density_tern
#' @format NULL
#' @usage NULL
#' @export
GeomDensityTern <- ggproto("GeomDensityTern",
GeomPath,
default_aes = aes(colour = "#3366FF", size = 0.5, linetype = 1, alpha = NA,weight=1.0))
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