diff --git a/DESCRIPTION b/DESCRIPTION
index a7f1745780..383dd5a511 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -263,6 +263,6 @@ Collate:
     'zxx.r'
     'zzz.r'
 VignetteBuilder: knitr
-RoxygenNote: 7.1.0.9000
+RoxygenNote: 7.1.1
 Roxygen: list(markdown = TRUE)
 Encoding: UTF-8
diff --git a/R/stat-boxplot.r b/R/stat-boxplot.r
index 762bfac606..a1b3a7bfa8 100644
--- a/R/stat-boxplot.r
+++ b/R/stat-boxplot.r
@@ -2,15 +2,16 @@
 #' @param coef Length of the whiskers as multiple of IQR. Defaults to 1.5.
 #' @inheritParams stat_identity
 #' @section Computed variables:
+#' `stat_boxplot()` provides the following variables, some of which depend on the orientation:
 #' \describe{
 #'   \item{width}{width of boxplot}
-#'   \item{ymin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR}
-#'   \item{lower}{lower hinge, 25% quantile}
+#'   \item{ymin *or* xmin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR}
+#'   \item{lower *or* xlower}{lower hinge, 25% quantile}
 #'   \item{notchlower}{lower edge of notch = median - 1.58 * IQR / sqrt(n)}
-#'   \item{middle}{median, 50% quantile}
+#'   \item{middle *or* xmiddle}{median, 50% quantile}
 #'   \item{notchupper}{upper edge of notch = median + 1.58 * IQR / sqrt(n)}
-#'   \item{upper}{upper hinge, 75% quantile}
-#'   \item{ymax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR}
+#'   \item{upper *or* xupper}{upper hinge, 75% quantile}
+#'   \item{ymax *or* xmax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR}
 #' }
 #' @export
 stat_boxplot <- function(mapping = NULL, data = NULL,
diff --git a/R/stat-smooth.r b/R/stat-smooth.r
index 31a7941bb2..ad9b438967 100644
--- a/R/stat-smooth.r
+++ b/R/stat-smooth.r
@@ -30,10 +30,11 @@
 #' @param method.args List of additional arguments passed on to the modelling
 #'   function defined by `method`.
 #' @section Computed variables:
+#' `stat_smooth()` provides the following variables, some of which depend on the orientation:
 #' \describe{
-#'   \item{y}{predicted value}
-#'   \item{ymin}{lower pointwise confidence interval around the mean}
-#'   \item{ymax}{upper pointwise confidence interval around the mean}
+#'   \item{y *or* x}{predicted value}
+#'   \item{ymin *or* xmin}{lower pointwise confidence interval around the mean}
+#'   \item{ymax *or* xmax}{upper pointwise confidence interval around the mean}
 #'   \item{se}{standard error}
 #' }
 #' @export
diff --git a/man/geom_boxplot.Rd b/man/geom_boxplot.Rd
index 9961f3fa96..c137d12059 100644
--- a/man/geom_boxplot.Rd
+++ b/man/geom_boxplot.Rd
@@ -172,15 +172,16 @@ Learn more about setting these aesthetics in \code{vignette("ggplot2-specs")}.
 
 \section{Computed variables}{
 
+\code{stat_boxplot()} provides the following variables, some of which depend on the orientation:
 \describe{
 \item{width}{width of boxplot}
-\item{ymin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR}
-\item{lower}{lower hinge, 25\% quantile}
+\item{ymin \emph{or} xmin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR}
+\item{lower \emph{or} xlower}{lower hinge, 25\% quantile}
 \item{notchlower}{lower edge of notch = median - 1.58 * IQR / sqrt(n)}
-\item{middle}{median, 50\% quantile}
+\item{middle \emph{or} xmiddle}{median, 50\% quantile}
 \item{notchupper}{upper edge of notch = median + 1.58 * IQR / sqrt(n)}
-\item{upper}{upper hinge, 75\% quantile}
-\item{ymax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR}
+\item{upper \emph{or} xupper}{upper hinge, 75\% quantile}
+\item{ymax \emph{or} xmax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR}
 }
 }
 
diff --git a/man/geom_smooth.Rd b/man/geom_smooth.Rd
index e91fc73a65..95c11217cb 100644
--- a/man/geom_smooth.Rd
+++ b/man/geom_smooth.Rd
@@ -170,10 +170,11 @@ Learn more about setting these aesthetics in \code{vignette("ggplot2-specs")}.
 
 \section{Computed variables}{
 
+\code{stat_smooth()} provides the following variables, some of which depend on the orientation:
 \describe{
-\item{y}{predicted value}
-\item{ymin}{lower pointwise confidence interval around the mean}
-\item{ymax}{upper pointwise confidence interval around the mean}
+\item{y \emph{or} x}{predicted value}
+\item{ymin \emph{or} xmin}{lower pointwise confidence interval around the mean}
+\item{ymax \emph{or} xmax}{upper pointwise confidence interval around the mean}
 \item{se}{standard error}
 }
 }