From 18bfd2708cb09ff9a30a73ff75f0f665e6a7878c Mon Sep 17 00:00:00 2001 From: teunbrand <49372158+teunbrand@users.noreply.github.com> Date: Thu, 11 Jul 2024 18:58:40 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20tidyvers?= =?UTF-8?q?e/ggplot2@b11d574cba19268b11f563118224da8034995b54=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dev/articles/profiling.html | 2 +- dev/news/index.html | 1 + dev/pkgdown.yml | 2 +- dev/reference/benchplot.html | 20 ++++++++++---------- dev/reference/guide_coloursteps.html | 7 +++++++ dev/search.json | 2 +- 6 files changed, 21 insertions(+), 13 deletions(-) diff --git a/dev/articles/profiling.html b/dev/articles/profiling.html index 0116c7020b..709ac789aa 100644 --- a/dev/articles/profiling.html +++ b/dev/articles/profiling.html @@ -130,7 +130,7 @@
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/news/index.html b/dev/news/index.html index f8566f8663..58440337b8 100644 --- a/dev/news/index.html +++ b/dev/news/index.html @@ -139,6 +139,7 @@
In stat_bin()
, the default boundary
is now chosen to better adhere to the nbin
argument (@teunbrand, #5882, #5036)
after_stat()
and after_scale()
throw warnings when the computed aesthetics are not of the correct length (#5901).
guide_colourbar()
now correctly hands off position
and available_aes
parameters downstream (@teunbrand, #5930)
geom_hline()
and geom_vline()
now have position
argument (@yutannihilation, #4285).
New function get_strip_labels()
to retrieve facet labels (@teunbrand, #4979)
benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point())
#> step user.self sys.self elapsed
-#> 1 construct 0.003 0 0.003
-#> 2 build 0.019 0 0.018
-#> 3 render 0.018 0 0.018
-#> 4 draw 0.019 0 0.020
+#> 1 construct 0.002 0 0.002
+#> 2 build 0.018 0 0.018
+#> 3 render 0.019 0 0.019
+#> 4 draw 0.020 0 0.020
#> 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 0.019 0 0.020
+#> 1 construct 0.002 0 0.002
+#> 2 build 0.019 0 0.019
#> 3 render 0.044 0 0.044
#> 4 draw 0.035 0 0.034
-#> 5 TOTAL 0.101 0 0.101
+#> 5 TOTAL 0.100 0 0.099
# With tidy eval:
p <- expr(ggplot(mtcars, aes(mpg, wt)) + geom_point())
@@ -110,10 +110,10 @@ Examples
#> step user.self sys.self elapsed
#> 1 construct 0.003 0 0.002
-#> 2 build 0.017 0 0.018
+#> 2 build 0.018 0 0.018
#> 3 render 0.019 0 0.019
-#> 4 draw 0.024 0 0.023
-#> 5 TOTAL 0.063 0 0.062
+#> 4 draw 0.020 0 0.020
+#> 5 TOTAL 0.060 0 0.059