

This is a good way to verify that you’ve captured all the needed dependencies. The check workflow, Cmd + Shift + E, will run the code in all vignettes. This builds with the installed package - but you probably want the dev package. Press Ctrl/Cmd + Shift + K (or click ) to knit the vignette and preview the output. Once you have this file, the workflow is straightforward: It serves as a useful reference when you’re creating a new vignette. The draft vignette has been designed to remind you of the important parts of an R Markdown file. Usethis :: use_vignette ( "my-vignette" )Īdd the necessary dependencies to DESCRIPTION (i.e. it adds knitr to the Suggests and VignetteBuilder fields).ĭraft a vignette, vignettes/my-vignette.Rmd. If this describes, your package, I highly recommend switching to RMarkdown. Older packages can include vignettes written with Sweave, a precursor to RMarkdown.

If you’re not already familiar with RMarkdown you’ll need to learn the basics elsewhere at good place to start is. In this chapter, we’re going to use RMarkdown to write our vignettes. To see vignettes for a package you haven’t installed, look at its CRAN page, e.g. You can read a specific vignette with vignette(x), and see its code with edit(vignette(x)). Each vignette provides three things: the original source file, a readable HTML page or PDF, and a file of R code. To see the vignette for a specific package, use the argument, browseVignettes("packagename"). You can see all the installed vignettes with browseVignettes().

RMARKDOWN COULD NOT FIND FUNCTION HOW TO
A vignette is like a book chapter or an academic paper: it can describe the problem that your package is designed to solve, and then show the reader how to solve it. Function documentation is great if you know the name of the function you need, but it’s useless otherwise. 17.1 IntroductionĪ vignette is a long-form guide to your package. This chapter is undergoing heavy restructuring and may be confusing or incomplete. You are reading the work-in-progress second edition of R Packages.
