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build r package

It has YAML metadata at the top, some non-executed code chunks, some executed code chunks. It allows writing vignettes in R Markdown. knitr::rmarkdown vignette engine is the one recommended in the R packages book, and usethis. The building of package vignettes can either use the default Sweave vignette engine, or a vignette engine provided by a CRAN package like knitr by Yihui Xie. Infrastructure & dependencies for vignettes

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Still, it’s useful to know about vignettes for debugging problems or finding workarounds for issues you might encounter.

  • see them from the CRAN page of the package, and its pkgdown website if there’s one.Īs a package author you could be fine only knowing about usethis::use_vignette() for creating a vignette, and that packages used in the vignette need to be listed in DESCRIPTION (under Suggests if they’re only used in the vignette 3).
  • Note that if the user installs your package from GitHub using devtools, they will need to explicitly ask for installing vignettes.
  • find them using the vignette() or browseVignettes() function, for instance they could type vignette(package = "rhub") or browseVignettes(package = "rhub") to access the list of installed vignettes for the rhub package 2.
  • In practice, if your package contains one or several vignette(s), an user could

    build r package

    Function documentation is great if you know the name of the function you need, but it’s useless otherwise." 1 In “Writing R Extensions”, vignettes are defined as “documents in PDF or HTML format obtained from plain-text literate source files from which R knows how to extract R code and create output (in PDF/HTML or intermediate LaTeX).". In the “R packages” book by Hadley Wickham and Jenny Bryan, the vignettes chapter starts with “A vignette is a long-form guide to your package. In this section we shall go over basics of package vignettes. Yet another post with a focus on package documentation! This time, we’ll cover vignettes a.k.a “long-form package documentation”, both basics around vignette building and infrastructure, and some tips for more maintainer- and user- friendliness.







    Build r package