The examples on this site aim to show how a number of common data analysis tasks can be performed using the R environment for statistical computing. The focus is on basic statistical methods for the social and life sciences. The examples assume a reader who is already familiar with the statistical underpinnings, and who knows when a particular analysis should be carried out.
The posts on this site were created automatically from within R, using a workflow that makes use of knitr, the static site generator nanoc, and the Bootstrap framework. For details, see this [page explaining the workflow](<%= @config[:rer][:baseurl] %>/rerWorkflow.html). This website, including all examples (R markdown, markdown, and plain R code files), is available on GitHub. The repository also contains the Makefiles and an R-script necessary for automatically building the website.
All content on this site is licensed under the [Creative Commons BY-SA](a href="http://creativecommons.org/licenses/by-sa/3.0/") license.
- [R Basics](<%= @config[:rer][:baseurl] %>/rerR_Basics.html)
- [Descriptive statistics](<%= @config[:rer][:baseurl] %>/rerDescriptive.html)
- [Work with data frames](<%= @config[:rer][:baseurl] %>/rerData_Frames.html)
- [Univariate methods](<%= @config[:rer][:baseurl] %>/rerUnivariate.html)
- [Nonparametric and resampling methods](<%= @config[:rer][:baseurl] %>/rerNonparametric.html)
- [Multivariate methods](<%= @config[:rer][:baseurl] %>/rerMultivariate.html)
- [Diagrams](<%= @config[:rer][:baseurl] %>/rerDiagrams.html)
The examples mostly come from my book, and are currently bare-bones R code. They will be complemented with comments and short explanations over time.
Some methods within the intended scope of this repository are currently missing:
- Psychometrics (classical test theory and item response theory)
- Cluster analysis and other classification techniques
- Time series
Contributed examples are very welcome, please contact me if you would like to add your code to this repository.