R programming language

Tutorials

• https://www.kaggle.com/wiki/Tutorials
• Data Camp Introduction to R class: https://www.datacamp.com/courses/introduction-to-r -- theoretical explanation, simple codes, ideal for R beginners who would like to have a look at basics without installing R
• swirl online interactive courses, covering topics like basic R programming, regression models, data collection and cleaning : http://swirlstats.com/students.html
• O'Reilly Code School – Try R: http://tryr.codeschool.com/
• Video tutorial: https://www.youtube.com/watch?v=iffR3fWv4xw
• One-page R cheat-sheets: http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r -- recommended rather if you know exactly what you are looking for, otherwise it is waste of time

Visualization

• ggplot2 documentation: http://docs.ggplot2.org/current/
• advanced n-dimensional data visualization packages and functions (treemaps, parallel coordinates, steam graphs, correlograms, graphs): http://statacumen.com/teach/SC1/SC1_18_Plots.pdf

Advanced topics

R readability rules (at least, one version from the Berkeley): https://docs.google.com/document/d/1esDVxyWvH8AsX-VJa-8oqWaHLs4stGlIbk8kLc5VlII/edit Advanced R usage: http://adv-r.had.co.nz/ -- advanced topics, like exception handling, metaprogramming or profiling by Hadley Wickham