diff --git a/DESCRIPTION b/DESCRIPTION
index f0bea93..8cccb57 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: ggalt
 Title: Extra Coordinate Systems, 'Geoms', Statistical Transformations, Scales
     and Fonts for 'ggplot2'
-Version: 0.5.0
+Version: 0.6.0
 Maintainer: Bob Rudis <bob@rud.is>
 Authors@R: c(
       person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
diff --git a/R/geom_ubar.r b/R/geom_ubar.r
index 1e92841..cbdf958 100644
--- a/R/geom_ubar.r
+++ b/R/geom_ubar.r
@@ -5,9 +5,6 @@
 #' constant without any tricks and you have granular control over the
 #' segment width. I decided it was time to make a `geom`.
 #'
-#' Dumbbell dot plots — dot plots with two or more series of data — are an
-#' alternative to the clustered bar chart or slope graph.
-#'
 #' @md
 #' @section Aesthetics:
 #' `geom_ubar`` understands the following aesthetics (required aesthetics are in bold):
@@ -30,11 +27,11 @@
 #' @inheritParams ggplot2::layer
 #' @export
 #' @examples
-#' library(ggplot2)
-#'
-#' data(economics)
-#' ggplot(economics, aes(date, uempmed)) +
-#'   geom_ubar()
+# library(ggplot2)
+#
+# data(economics)
+# ggplot(economics, aes(date, uempmed)) +
+#   geom_ubar()
 geom_ubar <- function(mapping = NULL, data = NULL, stat = "identity",
                       position = "identity", ...,
                       na.rm = FALSE, show.legend = NA, inherit.aes = TRUE) {
diff --git a/R/stateface.r b/R/stateface.r
index bc91ef6..3e939cb 100644
--- a/R/stateface.r
+++ b/R/stateface.r
@@ -48,7 +48,7 @@ load_stateface <- function() {
       system.file("fonts/", package="ggalt"),
       prompt=FALSE, pattern="*.ttf", recursive=FALSE)))
   }
-  tmp <- capture.output(suppressWarnings(extrafont::loadfonts(quiet=TRUE)))
+  tmp <- utils::capture.output(suppressWarnings(extrafont::loadfonts(quiet=TRUE)))
 }
 
 #' Use ProPublica's StateFace font in ggplot2 plots
diff --git a/README.Rmd b/README.Rmd
index f70f360..20b42b2 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -25,8 +25,9 @@ The following functions are implemented:
 - `geom_xspline` : Connect control points/observations with an X-spline
 - `stat_xspline` : Connect control points/observations with an X-spline
 - `geom_bkde` :	Display a smooth density estimate (uses `KernSmooth::bkde`)
-- `geom_stateface`:	Use ProPublica's StateFace font in ggplot2 plots- `stat_bkde` :	Display a smooth density estimate (uses `KernSmooth::bkde`)
-- `geom_bkde2d` :	Contours from a 2d density estimate. (uses `KernSmooth::bkde2D`)
+- `geom_stateface`:	Use ProPublica's StateFace font in ggplot2 plots
+- `geom_bkde2d` : Contours from a 2d density estimate. (uses `KernSmooth::bkde2D`)
+- `stat_bkde` :	Display a smooth density estimate (uses `KernSmooth::bkde`)
 - `stat_bkde2d` :	Contours from a 2d density estimate. (uses `KernSmooth::bkde2D`)
 - `stat_ash` : Compute and display a univariate averaged shifted histogram (polynomial kernel) (uses `ash::ash1`/`ash::bin1`)
 - `geom_encircle`:	Automatically enclose points in a polygon
diff --git a/man/geom_ubar.Rd b/man/geom_ubar.Rd
index d27e481..7223505 100644
--- a/man/geom_ubar.Rd
+++ b/man/geom_ubar.Rd
@@ -59,10 +59,6 @@ I've been using \code{geom_segment} more to make "bar" charts, setting
 constant without any tricks and you have granular control over the
 segment width. I decided it was time to make a \code{geom}.
 }
-\details{
-Dumbbell dot plots — dot plots with two or more series of data — are an
-alternative to the clustered bar chart or slope graph.
-}
 \section{Aesthetics}{
 
 `geom_ubar`` understands the following aesthetics (required aesthetics are in bold):