The following sections will work through the most important tags. You can get more roxygen2 style advice in the tidyverse style guide. It’s followed by five tags, two one one one and one that I’ve wrapped each line of the roxygen2 block 80 characters wide, to match the wrapping of my code, and I’ve indented the second and subsequent lines of the long tag so it’s easier to scan. Here the introduction includes the title (“Remove duplicated strings”) and a basic description of what the function does. #' Add together two numbers #' #' x A number.
![rstudio update rstudio update](https://cdn-ssl-devio-img.classmethod.jp/wp-content/uploads/2016/06/install-rstudio-server_06.png)
The documentation workflow starts when you add roxygen comments, comments that start with ', to your source file. To get started, we’ll work through the basic roxygen2 workflow and discuss the overall structure of roxygen2 comments which are organised into blocks and tags. You’ll see these files when you work with them in git, but you’ll otherwise rarely need to look at them. It provides a number of tools for sharing content between documentation topics and even between topics and vignettes. You can with using markdown, rather learning a new text formatting syntax.
#Rstudio update update#
There are a few advantages to using roxygen2:Ĭode and documentation are intermingled so that when you modify your code, it’s easy to remember to also update your documentation. Instead, we’ll use the roxygen2 package to generate them from specially formatted comments. We are not going to use these files directly. These files use a custom syntax, loosely based on LaTeX, that are rendered to HTML, plain text, or pdf, as needed, for viewing. You can learn more about those important topics in vignette("rd-other", package = "roxygen2").īase R provides a standard way of documenting a package where each documentation topic corresponds to an. In this chapter we’ll focus on documenting functions, but the same ideas apply to documenting datasets, classes and generics, and packages. That’s one of the jobs of vignettes, which you’ll learn about in the next chapter.
![rstudio update rstudio update](https://img.informer.com/p3/rstudio-ntfs-v5.4-user-interface.png)
Function documentation works like a dictionary: it’s helpful if you want to know what a function does, but it won’t help you find the right function for a new situation. In this chapter, you’ll learn about function documentation, as accessed by ? or help().
#Rstudio update how to#
16.1 Introductionĭocumentation is one of the most important aspects of a good package: without it, users won’t know how to use your package! Documentation is also useful for future-you (so you remember what your functions were supposed to do) and for developers extending your package.
![rstudio update rstudio update](https://windows-cdn.softpedia.com/screenshots/RStudio_28.png)
This chapter is undergoing heavy restructuring and may be confusing or incomplete. You are reading the work-in-progress second edition of R Packages.