1. Aprender
    2. /
  2. Cursos
    3. /
  3. Developing R Packages
  • 1

    Creating R Packages: From Data to Functions

    Gratuito

    Dive into the essentials of R package construction, from understanding the architecture, the critical R and man directories, to the significance of the DESCRIPTION and NAMESPACE files. Get hands-on with the usethis package as you create your own package skeleton and include data. Strengthen your R function writing skills, grasp best practices for package development, and get comfortable saving functions to a file. Finally, install your package locally using devtools.

  • 2

    Designing R Packages: Package Naming and Dependencies

    Learn the advantages of creating packages versus using scripts, exploring the impact on code organization, reproducibility, collaboration, and sharing. Discover effective strategies for structuring code and functions within the R directory, and choosing an appropriate name and license for your package. Finally, you’ll learn how to manage CRAN package dependencies.

  • 3

    Package Documentation: Generating Help Files and Vignettes

    Harness the power of examples in documentation by creating function examples with roxygen2. Understand the significance of examples in clarifying function behavior and identifying key components of a well-documented R function. Explore the purpose of vignettes in R package documentation and learn best practices for creating engaging vignettes and evaluating their content and quality through metadata analysis.

  • 4

    Testing R Packages: Using Unit Tests and Robust Checks

    Identify why the unit tests are important to package development and maintenance and learn how to implement the testthat package for unit tests. Convert R examples into expectations to build your unit test knowledge. You’ll then gain an understanding on how to document your package data and run some final checks to ensure you have developed a robust R package.

Initializing

Exercicio

Design an R package vignette

This document is the vignette skeleton dist_conversion.Rmd created in the last exercise. It includes the most familiar parts of an R Markdown document:

  • A YAML header that contains some metadata
  • Narrative text written in Markdown
  • R code chunks surrounded by ```{r} and ```; a syntax that comes from the knitr package

To develop package documentation for the unitConverter package, it is vital to show users many different ways to work with the functionality of the package. Vignettes serve that purpose in both showing examples and also adding explanatory text and clarifications in an easy-to-read format.

Instruções

100 XP
  • Create a heading on line 22 of "Convert feet to meters" with no subheadings.
  • Add "We can use the package to convert 5 feet into meters as follows." after the the heading, leading one line of space.
  • In the dist-example chunk, make the appropriate call to the dist_converter() function to achieve the task you have described.
  • At the end, output the result inline with "Five feet is r dist_result meters."