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#' @title stat_cooks_leverage
#'
#' @description Cook's Distance vs. Leverage
#'
#' @param alpha Adjust transparency of points.
#' @param method Method for fitting the line to the points.
#' @param se Keep standard error bands around line?
#' @param color Color of the line.
#' @param ... Currently ignored. For extendability.
#'
#' @return A `ggplot2` layer for plotting Cook's Distance vs. Leverage.
#' @examples
#' data(mtcars)
#' model <- lm(mpg ~ cyl + disp + hp, data = mtcars)
#' ggplot2::ggplot(data = model) + stat_cooks_leverage()
#' @export
#' @importFrom rlang .data
stat_cooks_leverage <- function(alpha = 0.5,
method = "loess",
color = "steelblue",
se = FALSE,
...){
list(
ggplot2::geom_point(mapping = ggplot2::aes(x = .data$.hat,
y = .data$.cooksd),
alpha = alpha),
ggplot2::geom_smooth(
mapping = ggplot2::aes(x = .data$.hat,
y = .data$.cooksd),
method = method,
se = se,
color = color,
size = 1,
formula = "y ~ x"
),
ggplot2::labs(
title = "Cook's Distance vs. Leverage",
x = "Leverage",
y = "Cook's distance"
)
)
}
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