diff --git a/dev/articles/profiling.html b/dev/articles/profiling.html index ea66443403..e0768c8abb 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/news/index.html b/dev/news/index.html index a4ead5d87d..48831cb155 100644 --- a/dev/news/index.html +++ b/dev/news/index.html @@ -131,6 +131,7 @@

position_jitterdodge() where different jitters would be applied to different position aesthetics of the same axis (@teunbrand, #5818).

  • 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).

  • +
  • geom_hline() and geom_vline() now have position argument (@yutannihilation, #4285).

  • ggplot2 3.5.1

    CRAN release: 2024-04-23

    diff --git a/dev/pkgdown.yml b/dev/pkgdown.yml index 542874cb0c..64b965a898 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: 2024-07-08T08:20Z +last_built: 2024-07-08T09:16Z 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 2754e2f36e..cd6e3dfba2 100644 --- a/dev/reference/benchplot.html +++ b/dev/reference/benchplot.html @@ -92,28 +92,28 @@

    Examples
    benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point())
     #>        step user.self sys.self elapsed
     #> 1 construct     0.003        0   0.003
    -#> 2     build     0.017        0   0.017
    +#> 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
    +#> 5     TOTAL     0.060        0   0.060
     benchplot(ggplot(mtcars, aes(mpg, wt)) + geom_point() + facet_grid(. ~ cyl))
     #>        step user.self sys.self elapsed
    -#> 1 construct     0.003        0   0.002
    -#> 2     build     0.019        0   0.019
    -#> 3    render     0.045        0   0.045
    -#> 4      draw     0.035        0   0.035
    -#> 5     TOTAL     0.102        0   0.101
    +#> 1 construct     0.002    0.001   0.002
    +#> 2     build     0.020    0.000   0.019
    +#> 3    render     0.044    0.000   0.044
    +#> 4      draw     0.035    0.000   0.035
    +#> 5     TOTAL     0.101    0.001   0.100
     
     # With tidy eval:
     p <- expr(ggplot(mtcars, aes(mpg, wt)) + geom_point())
     benchplot(!!p)
     
     #>        step user.self sys.self elapsed
    -#> 1 construct     0.002        0   0.002
    -#> 2     build     0.018        0   0.018
    -#> 3    render     0.018        0   0.018
    -#> 4      draw     0.020        0   0.020
    -#> 5     TOTAL     0.058        0   0.058
    +#> 1 construct     0.002        0   0.003
    +#> 2     build     0.017        0   0.018
    +#> 3    render     0.018        0   0.019
    +#> 4      draw     0.021        0   0.020
    +#> 5     TOTAL     0.058        0   0.060