Chapter 7 Statistical Analysis using R
7.1 Read and Combine Data
read and combine data from flat files, SQL database, binary netCDF, and making use of web technologies as data source.
compute with data. clean the data, check the quality, impute missing values. write efficient and reproducible code so others are able to replicate the analysis. develop software, individually and collaboratively, debug, profile and package R code. experiment with event driven programming to build an interactive graphic, and a GUI. pull data together to solve a contemporary problem.
HTML books can be published online, see: https://bookdown.org/yihui/bookdown/publishing.html
7.2 404 pages
By default, users will be directed to a 404 page if they try to access a webpage that cannot be found. If you’d like to customize your 404 page instead of using the default, you may add either a _404.Rmd or _404.md file to your project root and use code and/or Markdown syntax.
7.3 Event Driven Programming
Bookdown HTML books will provide HTML metadata for social sharing on platforms like Twitter, Facebook, and LinkedIn, using information you provide in the index.Rmd YAML. To setup, set the url for your book and the path to your cover-image file. Your book’s title and description are also used.
This gitbook uses the same social sharing data across all chapters in your book- all links shared will look the same.
Specify your book’s source repository on GitHub using the edit key under the configuration options in the _output.yml file, which allows users to suggest an edit by linking to a chapter’s source file.
Read more about the features of this output format here:
https://pkgs.rstudio.com/bookdown/reference/gitbook.html
Or use: