关于此课程： Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.
制作方： Johns Hopkins University
教学方： Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
教学方： Brooke Anderson, Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University
| 基本信息 | 课程 3（共 5 门，Mastering Software Development in R Specialization ） |
| 级别 | 中级 |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
Getting Started with R Packages
1 个视频, 16 个阅读材料
- Reading: Before You Start
- Reading: Using Mac OS
- Reading: Using Windows
- Reading: Using Unix/Linux
- Reading: R packages
- Reading: Basic Structure of an R Package
- Reading: DESCRIPTION File
- Reading: NAMESPACE File
- Reading: Namespace Function Notation
- Reading: Loading and Attaching a Package Namespace
- Reading: The R Sub-directory
- Reading: The man Sub-directory
- Reading: Summary
- Reading: The devtools package
- Reading: Creating a Package
- Reading: Other Functions
已评分: R Package and devtools
第 2 周
Documentation and Testing
14 个阅读材料
- Reading: Documentation
- Reading: Vignette's and README Files
- Reading: Knitr / Markdown
- Reading: Common knitr Options
- Reading: Help Files and roxygen2
- Reading: Common roxygen2 Tags
- Reading: Overview
- Reading: Data for Demos
- Reading: Internal Data
- Reading: Data Packages
- Reading: Summary
- Reading: Introduction
- Reading: The testthat Package
- Reading: Passing CRAN Checks
已评分: Documenting Code
第 3 周
Licensing, Version Control, and Software Design
25 个阅读材料
- Reading: Overview
- Reading: The General Public License
- Reading: The MIT License
- Reading: The CC0 License
- Reading: Overview
- Reading: Paying it Forward
- Reading: Linus’s Law
- Reading: Hiring
- Reading: Summary
- Reading: Introduction
- Reading: git
- Reading: Initializing a git repository
- Reading: Committing
- Reading: Browsing History
- Reading: Linking local repo to GitHub repo
- Reading: Syncing RStudio and GitHub
- Reading: Issues
- Reading: Pull Request
- Reading: Merge Conflicts
- Reading: Introduction
- Reading: The Unix Philosophy
- Reading: Default Values
- Reading: Naming Things
- Reading: Playing Well With Others
- Reading: Summary
已评分: Testing, GitHub, and Open Source
第 4 周
Continuous Integration and Cross Platform Development
13 个阅读材料
- Reading: Overview
- Reading: Web Services for Continuous Integration
- Reading: Using Travis
- Reading: Using AppVeyor
- Reading: Summary
- Reading: Introduction
- Reading: Handling Paths
- Reading: Saving Files & rappdirs
- Reading: rappdirs
- Reading: Options and Starting R
- Reading: Package Installation
- Reading: Environmental Attributes
- Reading: Summary
已评分: Building an R Package
常见问题解答
运作方式
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
制作方
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
价格
| 购买课程 | |
|---|---|
| 访问课程材料 | 可用 |
| 访问评分的材料 | 可用 |
| 收到最终成绩 | 可用 |
| 获得可共享的课程证书 | 可用 |
评分和审阅
Nice
I learned a lot in this course, was difficult at the begininng but enjoyable at the end!
Good slow walk through of the process for creating and checking a package
Amazing course! Will explain every detail regarding R package creation.