#' A geom that draws a point at the intercept of linear model estimate
#'
#' @param ... all the geom_point arguments
#'
#' @return
#' @export
#'
#' @examples
#' # without the function
#' library(magrittr)
#' library(dplyr)
#' cars %>%
#' mutate(speed_cat = speed > 8) %>%
#' group_by(speed_cat) %>%
#' filter(speed == max(speed)) ->
#' cars_group_endpoint
#'
#' library(ggplot2)
#' ggplot(data = cars) +
#' aes(x = speed, y = dist) +
#' aes(color = speed > 8) +
#' geom_line() +
#' geom_point(data = cars_group_endpoint)
#' layer_data(last_plot(), 2)
#'
#' # the proto
#' "StatEndpoint"
#' f_geom_line_endpoint
#'
#' # the function
#' f_geom_line_endpoint
#'
#' # using the function
#' ggplot(data = cars) +
#' aes(x = speed, y = dist) +
#' geom_line() +
#' f_geom_line_endpoint(size = 4) +
#' aes(color = speed > 9)
#' layer_data(last_plot(), 2)
#'
f_geom_line_endpoint <- function(mapping = NULL,
data = NULL,
position = "identity",
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE, ...) {
ggplot2::layer(
stat = StatEndpoint,
geom = ggplot2::GeomPoint,
data = data,
mapping = mapping,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(na.rm = na.rm, ...)
)
}
StatEndpoint <- ggplot2::ggproto(
"StatEndpoint",
ggplot2::Stat,
compute_group = function(data, scales) {
data %>%
filter(x == max(x))
},
required_aes = c("x", "y")
)
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