diff --git a/dev/articles/ggplot2-specs.html b/dev/articles/ggplot2-specs.html index d354025caf..0eb348a134 100644 --- a/dev/articles/ggplot2-specs.html +++ b/dev/articles/ggplot2-specs.html @@ -338,6 +338,11 @@

Colour and fill geom_point(shape = 21, fill = "red") + scale_size_identity()

A plot showing a 4-by-4 grid of red points, the top 12 points with black outlines. The size of the points increases horizontally. The stroke of the outlines of the points increases vertically. A white diagonal line with a negative slope marks that the 'stroke' versus 'size' trade-off has similar total sizes.

+

Because points are not typically filled, you may need to change some +default settings when using these shapes and mapping fill. +In particular, discrete fill guides will be drawn with an +unfilled shape unless overridden (refer to geom_point() for +an example of this).

diff --git a/dev/articles/profiling.html b/dev/articles/profiling.html index cdb5554900..dde3338a01 100644 --- a/dev/articles/profiling.html +++ b/dev/articles/profiling.html @@ -130,7 +130,7 @@

Thomas Lin profile

-

In general, a minimal plot is used so that profiles are focused on +

In general, a minimal plot is used so that profiles are focused on low-level, general code, rather than implementations of specific geoms. This might be expanded at the point where improving performance of specific geoms becomes a focus. Further, the profile focuses on the diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml index 264dc7b447..4475059a83 100644 --- a/dev/pkgdown.yml +++ b/dev/pkgdown.yml @@ -13,7 +13,7 @@ articles: ggplot2-specs: ggplot2-specs.html ggplot2: ggplot2.html profiling: profiling.html -last_built: 2024-12-12T09:01Z +last_built: 2024-12-13T08:04Z urls: reference: https://ggplot2.tidyverse.org/reference article: https://ggplot2.tidyverse.org/articles diff --git a/dev/reference/benchplot.html b/dev/reference/benchplot.html index 4adee41b73..9d8e5bf37f 100644 --- a/dev/reference/benchplot.html +++ b/dev/reference/benchplot.html @@ -91,17 +91,17 @@

ArgumentsExamples

benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point())
 #>        step user.self sys.self elapsed
-#> 1 construct     0.003        0   0.003
+#> 1 construct     0.002        0   0.002
 #> 2     build     0.019        0   0.019
 #> 3    render     0.020        0   0.020
-#> 4      draw     0.019        0   0.018
-#> 5     TOTAL     0.061        0   0.060
+#> 4      draw     0.018        0   0.018
+#> 5     TOTAL     0.059        0   0.059
 benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point() + facet_grid(. ~ cyl))
 #>        step user.self sys.self elapsed
 #> 1 construct     0.003        0   0.003
-#> 2     build     0.021        0   0.020
-#> 3    render     0.048        0   0.048
-#> 4      draw     0.032        0   0.032
+#> 2     build     0.020        0   0.021
+#> 3    render     0.048        0   0.047
+#> 4      draw     0.033        0   0.032
 #> 5     TOTAL     0.104        0   0.103
 
 # With tidy eval:
@@ -109,11 +109,11 @@ 
Examplesbenchplot(!!p)
 
 #>        step user.self sys.self elapsed
-#> 1 construct     0.002        0   0.002
+#> 1 construct     0.003        0   0.002
 #> 2     build     0.019        0   0.019
-#> 3    render     0.020        0   0.020
-#> 4      draw     0.018        0   0.019
-#> 5     TOTAL     0.059        0   0.060
+#> 3    render     0.020        0   0.019
+#> 4      draw     0.019        0   0.018
+#> 5     TOTAL     0.061        0   0.058