Feature/stat ellipse

DESCRIPTION

@@ -175,6 +175,7 @@ Collate:
     'stat-density-2d.r'
     'stat-density.r'
     'stat-ecdf.r'
+    'stat-ellipse.R'
     'stat-function.r'
     'stat-identity.r'
     'stat-qq.r'

NAMESPACE

@@ -369,6 +369,7 @@ export(stat_contour)
 export(stat_density)
 export(stat_density2d)
 export(stat_ecdf)
+export(stat_ellipse)
 export(stat_function)
 export(stat_hline)
 export(stat_identity)
@@ -413,5 +414,6 @@ import(plyr)
 import(proto)
 import(reshape2)
 import(scales)
+importFrom(MASS,cov.trob)
 importFrom(MASS,kde2d)
 importFrom(methods,setRefClass)

NEWS

@@ -1,5 +1,7 @@
 ggplot2 0.9.3.1.99
 ----------------------------------------------------------------
+* `stat_ellipse()` adds data ellipses. It supports bivariate normal and t distributions,
+  as well as a euclidian distance circle. (@jofrhwld, #926)
 
 * Allow specifying only one of the limits in a scale and use the automatic
   calculation of the other limit by passing NA to to the limit function,

R/stat-ellipse.R

@@ -0,0 +1,102 @@
+#' Plot data ellipses.
+#'
+#' @param level The confidence level at which to draw an ellipse (default is 0.95),
+#'   or, if \code{type="euclid"}, the radius of the circle to be drawn.
+#' @param type The type of ellipse.
+#'   The default \code{"t"} assumes a multivariate t-distribution, and
+#'   \code{"norm"} assumes a multivariate normal distribution.
+#'   \code{"euclid"} draws a circle with the radius equal to \code{level},
+#'   representing the euclidian distance from the center.
+#'   This ellipse probably won't appear circular unless \code{coord_fixed()} is applied.
+#' @param segments The number of segments to be used in drawing the ellipse.
+#' @param na.rm If \code{FALSE} (the default), removes missing values with
+#'   a warning.  If \code{TRUE} silently removes missing values.
+#' @inheritParams stat_identity
+#'
+#' @details The method for calculating the ellipses has been modified from car::ellipse (Fox and Weisberg, 2011)
+#'
+#' @references
+#' John Fox and Sanford Weisberg (2011). An {R} Companion to Applied Regression, Second Edition. Thousand Oaks CA: Sage. URL: http://socserv.socsci.mcmaster.ca/jfox/Books/Companion
+#'
+#' @export
+#' @importFrom MASS cov.trob
+#'
+#' @examples
+#' ggplot(faithful, aes(waiting, eruptions))+
+#'   geom_point()+
+#'   stat_ellipse()
+#'
+#' ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+#'   geom_point()+
+#'   stat_ellipse()
+#'
+#' ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+#'   geom_point()+
+#'   stat_ellipse(type = "norm", linetype = 2)+
+#'   stat_ellipse(type = "t")
+#'
+#' ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+#'   geom_point()+
+#'   stat_ellipse(type = "norm", linetype = 2)+
+#'   stat_ellipse(type = "euclid", level = 3)+
+#'   coord_fixed()
+#'
+#' ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+#'   stat_ellipse(geom = "polygon")
+
+stat_ellipse <- function(mapping = NULL, data = NULL, geom = "path", position = "identity", type = "t", level = 0.95, segments = 51, na.rm = FALSE, ...) {
+  StatEllipse$new(mapping = mapping, data = data, geom = geom, position = position, type = type, level = level, segments = segments, na.rm = na.rm, ...)
+}
+
+StatEllipse <- proto(Stat, {
+  objname <- "ellipse"
+
+  required_aes <- c("x", "y")
+  default_geom <- function(.) GeomPath
+
+  calculate_groups <- function(., data, scales, ...){
+    .super$calculate_groups(., data, scales,...)
+  }
+  calculate <- function(., data, scales, type = "t", level = 0.95, segments = 51, na.rm = FALSE, ...){
+    data <- remove_missing(data, na.rm, vars = c("x","y"), name = "stat_ellipse", finite = TRUE)
+    ellipse <- calculate_ellipse(data=data, vars= c("x","y"), type=type, level=level, segments=segments)
+    return(ellipse)
+  }
+})
+
+calculate_ellipse <- function(data, vars, type, level, segments){
+  dfn <- 2
+  dfd <- nrow(data) - 1
+
+  if (!type %in% c("t", "norm", "euclid")){
+    message("Unrecognized ellipse type")
+    ellipse <- rbind(as.numeric(c(NA, NA)))
+  } else if (dfd < 3){
+    message("Too few points to calculate an ellipse")
+    ellipse <- rbind(as.numeric(c(NA, NA)))
+  } else {
+    if (type == "t"){
+      v <- cov.trob(data[,vars])
+    } else if (type == "norm"){
+      v <- cov.wt(data[,vars])
+    } else if (type == "euclid"){
+      v <- cov.wt(data[,vars])
+      v$cov <- diag(rep(min(diag(v$cov)), 2))
+    }
+    shape <- v$cov
+    center <- v$center
+    chol_decomp <- chol(shape)
+    if (type == "euclid"){
+      radius <- level/max(chol_decomp)
+    } else {
+      radius <- sqrt(dfn * qf(level, dfn, dfd))
+    }
+    angles <- (0:segments) * 2 * pi/segments
+    unit.circle <- cbind(cos(angles), sin(angles))
+    ellipse <- t(center + radius * t(unit.circle %*% chol_decomp))
+  }
+
+  ellipse <- as.data.frame(ellipse)
+  colnames(ellipse) <- vars
+  return(ellipse)
+}

man/stat_ellipse.Rd

@@ -0,0 +1,80 @@
+% Generated by roxygen2 (4.0.0): do not edit by hand
+\name{stat_ellipse}
+\alias{stat_ellipse}
+\title{Plot data ellipses.}
+\usage{
+stat_ellipse(mapping = NULL, data = NULL, geom = "path",
+  position = "identity", type = "t", level = 0.95, segments = 51,
+  na.rm = FALSE, ...)
+}
+\arguments{
+  \item{level}{The confidence level at which to draw an
+  ellipse (default is 0.95), or, if \code{type="euclid"},
+  the radius of the circle to be drawn.}
+
+  \item{type}{The type of ellipse.  The default \code{"t"}
+  assumes a multivariate t-distribution, and \code{"norm"}
+  assumes a multivariate normal distribution.
+  \code{"euclid"} draws a circle with the radius equal to
+  \code{level}, representing the euclidian distance from
+  the center.  This ellipse probably won't appear circular
+  unless \code{coord_fixed()} is applied.}
+
+  \item{segments}{The number of segments to be used in
+  drawing the ellipse.}
+
+  \item{na.rm}{If \code{FALSE} (the default), removes
+  missing values with a warning.  If \code{TRUE} silently
+  removes missing values.}
+
+  \item{mapping}{The aesthetic mapping, usually constructed
+  with \code{\link{aes}} or \code{\link{aes_string}}. Only
+  needs to be set at the layer level if you are overriding
+  the plot defaults.}
+
+  \item{data}{A layer specific dataset - only needed if you
+  want to override the plot defaults.}
+
+  \item{geom}{The geometric object to use display the data}
+
+  \item{position}{The position adjustment to use for
+  overlappling points on this layer}
+
+  \item{...}{other arguments passed on to
+  \code{\link{layer}}. This can include aesthetics whose
+  values you want to set, not map. See \code{\link{layer}}
+  for more details.}
+}
+\description{
+Plot data ellipses.
+}
+\details{
+The method for calculating the ellipses has been modified from car::ellipse (Fox and Weisberg, 2011)
+}
+\examples{
+ggplot(faithful, aes(waiting, eruptions))+
+  geom_point()+
+  stat_ellipse()
+
+ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+  geom_point()+
+  stat_ellipse()
+
+ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+  geom_point()+
+  stat_ellipse(type = "norm", linetype = 2)+
+  stat_ellipse(type = "t")
+
+ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+  geom_point()+
+  stat_ellipse(type = "norm", linetype = 2)+
+  stat_ellipse(type = "euclid", level = 3)+
+  coord_fixed()
+
+ggplot(faithful, aes(waiting, eruptions, color = eruptions > 3))+
+  stat_ellipse(geom = "polygon")
+}
+\references{
+John Fox and Sanford Weisberg (2011). An {R} Companion to Applied Regression, Second Edition. Thousand Oaks CA: Sage. URL: http://socserv.socsci.mcmaster.ca/jfox/Books/Companion
+}
+