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added computed stat info

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boB Rudis 1 year ago
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2 changed files with 24 additions and 0 deletions
  1. +11
    -0
      R/stat-logspline.R
  2. +13
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      man/stat_logspline.Rd

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R/stat-logspline.R View File

@ -68,6 +68,17 @@ StatLogspline <- ggproto(
#' Computes logspline density (+ counts estimate), probability, survival & hazard
#'
#'
#' @section Computed variables:
#'
#' - `density` : the density estimate
#' - `count`: computed counts (similar to [ggplot2::stat_density()])
#' - `probs`: distribution function
#' - `survival`: survival function
#' - `hazard` : hazard function
#'
#' By default the `y` aesthetic is mapped to `stat(density)`
#'
#' @inheritParams ggplot2::stat_density
#' @param n numbe of points for the density estimation (larger == smoother)
#' @param max_knots the maximum number of knots. The routine stops adding knots when


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man/stat_logspline.Rd View File

@ -71,6 +71,19 @@ to the paired geom/stat.}
\description{
Computes logspline density (+ counts estimate), probability, survival & hazard
}
\section{Computed variables}{
\itemize{
\item \code{density} : the density estimate
\item \code{count}: computed counts (similar to \code{\link[ggplot2:stat_density]{ggplot2::stat_density()}})
\item \code{probs}: distribution function
\item \code{survival}: survival function
\item \code{hazard} : hazard function
}
By default the \code{y} aesthetic is mapped to \code{stat(density)}
}
\examples{
library(ggplot2)


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