Monday, 18 March 2013

R, where should I start?


This is a dynamic post which I will continue to update whenever I find something new. Hope you will find the following links useful.

Online Courses for Learning the R language

Free Documentations for Learning the R Language

  1. R for Beginners by Emmanuel Paradis
  2. R Graphics by Paul Murrel
  3. ggplot2 (official documentation)
  4. Advanced R Programming by Hadley Wickham

Online Courses for Data Mining with R

e-Books for Data Mining with R

R Tutorials

  1. Twotorials by Anthony Damico (learning new tricks from short 2-min videos)
  2. Revolution Analytics Free Webinars
  3. ggplot2 Graphics Cheat Sheet
  4. 10 tips for making your R graphics look their best
  5. Making Maps with R
  6. Compiling R 3.0.1 with MKL support
  7. Flowing Data - Tutorials
  8. Quick-R
  9. R-Uni (A List of Free R Tutorials and Resources in University Webpages)

Interesting Blogs and Articles

Useful R Packages

  1. Ten R packages I wish I knew about earlier (Before you do anything, read this blog post first!!)
  2. caret (short for Classification And REgression Training) for a simple way to train and fine-tune model using different algorithms
  3. ff and bigmemory - two packages to solve memory issues with big datasets
  4. quantmod for financial modelling
  5. foreach and doSNOW for parallel computing in R

Interactive Development Environment

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