После прохождения этих курсов я уверенно создаю профессиональные визуализации и дашборды.
Shoebur RahmanСпециалист по закупкам, Giz Bangladesh
Описание курса
The expansive ecosystem of R packages may seem daunting at first glance, but don't worry! Acquiring the skill to develop your own R package is invaluable, regardless of whether you collaborate on your code with others. With a range of modern tools and packages at your fingertips, it's simpler than ever.
Discover the Benefits of Package Creation
Creating a package allows you to document your functions, enhancing their quality. It provides a formal structure for your code and analyses, enabling function improvement while tests verify no previous functionality is disrupted.Practice Using R Package Development Tools
This course will guide you through these concepts, and as a bonus, you'll develop your own package focused on unit conversion. You'll learn how to use the devtools, usethis, roxygen2, available, and testthat packages as well as rmarkdown to speed up and improve your package development workflow.Experience the Power of R Package Development
Get ready to dive into the dynamic world of R package development and empower yourself with a valuable toolset that can greatly enhance your data analysis journey!Предварительные требования
Программа
План курса
1
Creating R Packages: From Data to Functions
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.
- Components of an R package50 XP
- R package truths50 XP
- What's needed in all R packages?100 XP
- Required package components100 XP
- Data and R Markdown template in an R package50 XP
- Create an R package100 XP
- Add data to the R package100 XP
- Create an R package R Markdown template file100 XP
- R Markdown template file layout100 XP
- Building package functions50 XP
- R function for converting distances100 XP
- Install the R package and try it out100 XP
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.
R
Developing R Packages
Курс
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