尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证制作者的介绍仅有上面的一句话。 更多详情请阅读仓库 README。 仓库 README ↗
正在加载完整 README。
查看完整 README ↗{qnp}The goal of {qnp} (“quarto-notes plots”) is to provide helpers for
including plots in Quarto notes. It currently provides one function,
interactive_plot(), which makes a {ggplot2} plot interactive in HTML
output and leaves it unchanged in other output formats.
You can install the development version of {qnp} from
GitHub with:
# install.packages("pak")
pak::pak("Morrison-Lab/qnp")
interactive_plot() takes a ggplot and a text alternative (alt) for
the plot:
library(ggplot2)
library(qnp)
p <- ggplot(mtcars, aes(wt, mpg)) +
geom_point()
interactive_plot(
plot = p,
alt = "Scatterplot of fuel economy versus car weight",
is_html = FALSE
)
In HTML output (the default, via is_html = knitr::is_html_output()),
the result is an interactive plotly widget
wrapped in a <div> with role = "img" and aria-label = alt, so that
screen readers announce it as a single image. In other output formats,
the original ggplot is returned unchanged. This README is rendered to
GitHub-flavored Markdown, which knitr counts as an HTML output format,
so the example sets is_html = FALSE explicitly to show the static
plot.
See USAGE.md for more details.
This package uses altdoc with Quarto to build its documentation site. To build and preview the documentation locally:
# Load the package
pkgload::load_all()
# Render the documentation
altdoc::render_docs()
# Preview the site
altdoc::preview_docs()
The documentation is automatically built and deployed to GitHub Pages via GitHub Actions when changes are pushed to the main branch.
{qnp} is an R package, and the notes sites that use it are Quarto
websites, so the two live in separate repositories. The decision and its
reasons are in the lab’s repository-template
guidance.
The notes on choosing colors are in the visualization
notes.
Please note that the {qnp} project is released with a Contributor
Code of
Conduct.
By contributing to this project, you agree to abide by its terms.