Tweaks to stat_smooth docs, thanks to @wch

tidyverse · Dec 21, 2011 · cbd7401 · cbd7401
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Showing 2 changed files with 9 additions and 4 deletions.
diff --git a/R/stat-smooth.r b/R/stat-smooth.r
@@ -5,8 +5,10 @@
 #' Calculation is performed by the (currently undocumented) 
 #' \code{predictdf} generic function and its methods.  For most methods
 #' the confidence bounds are computed using the \code{\link{predict}}
-#' method - the exception is for \code{loess} which uses a t-based 
-#' appromxiation
+#' method - the exceptions are \code{loess} which uses a t-based 
+#' approximation, and for \code{glm} where the normal confidence interval
+#' is constructed on the link scale, and then back-transformed to the response
+#' scale.
 #'
 #' @param method smoothing method (function) to use, eg. lm, glm, gam, loess,
 #'   rlm

diff --git a/man/stat_smooth.Rd b/man/stat_smooth.Rd
@@ -45,8 +45,11 @@
   Calculation is performed by the (currently undocumented)
   \code{predictdf} generic function and its methods.  For
   most methods the confidence bounds are computed using the
-  \code{\link{predict}} method - the exception is for
-  \code{loess} which uses a t-based appromxiation
+  \code{\link{predict}} method - the exceptions are
+  \code{loess} which uses a t-based approximation, and for
+  \code{glm} where the normal confidence interval is
+  constructed on the link scale, and then back-transformed
+  to the response scale.
 }
 \examples{
 c <- ggplot(mtcars, aes(qsec, wt))