KickStarteR

R is a needful language for the data scientist. Its strengths include:

• Capability: It offers a gargantuan set of functionalities
• Community: It has an elephantine, ever growing community of users
• Performance: It is lightning fast

This is a kickstarter tutorial on R, using package igraph for network analysis. See also the tutorial Quick-R.

1. R as a programming language [markup]
2. R as a data manipulation language [markup]
3. R as a language for statistical computing [markup]
4. Essential linear algebra [R]
5. Getting started with igraph package [R]
6. Essential graph theory [R]
7. Sport rating and ranking [markdown, dataset]
8. Centrality and power on the European gas pipeline network [zip]
9. Community detection [markup, markdown]
10. Components and resilience [markup, markdown]
11. Distances and paths [markup, markdown]
12. Degree distribution [markup, markdown]
13. Analysis of Madrid train bombing network [markup, markdown]
14. Analysis of a social network of dolphins [markup, markdown]
15. Interactive graphics with Shiny (run Shiny apps from R as runUrl("path.to.code.zip")):
    • Visualize a social network of dolphins [code1.zip, code2.zip]
    • Visualize centrality measures [code.zip]
    • Compare centrality measures [code.zip]
    • Reveal communities [code.zip]
    • Percolate nodes [code.zip]