Lab work
We will conduct our lab work using the open source software R. You may find this cheat sheet useful.
To learn advanced programming techniques in R and its functional nature, see Hadley Wickman, Advanced R (electronic book), and the same author's paper on The Split-Apply-Combine strategy for data analysis (the plyr package). Another useful source of tips for good R programming practices: P. Burns, The R Inferno.
- LAB 1 (17-Sep): Introduction to igraph [guide] [data]
- Deadline for deliverable is Sept. 30, 23:00, please submit your solution via the Raco
- R as functional language: a script to show advantages of functional R versus procedural R. [R_functional_Proc]
- LAB 2 (1-Oct): Analysis of the degree distribution [files]
- Deadline for deliverable is Oct. 14th, please submit your solution via the Raco
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